task_116Retail trade

18 verifiers · 15 core · 3 secondary · 18 LLM-graded

TaxonomyRetail tradeGeneral and operations managers

All trialsClaude Sonnet 5claude-codeTrial 04

Side AAll trials4 trials Trial 0142%Trial 0254%Trial 0359%Trial 0449%

49%

Trial reward

Claude Sonnet 5Fail

Trial 04 — 3rd of 4 by reward score. This model averages 51% across 4 trials on this task.

8/15Core verifiers passed
9/18All verifiers passed
7Core failed
190Turns
102Tool calls
$9.24Cost
53.3mTime
154kOutput tokens

Missed 7 of 15 core — traffic_profit, execution and workbook_structure and 4 more, plus 2 secondary.

core (15)

sushi_routeLLMPass
Why it matters
Sushi is the most tempting vendor-led trap because supplier notes conflict with signed launch terms.
How to pass
Checks whether the memo makes the correct route-limited sushi recommendation.
Reads
capacityLLMPass
Why it matters
A professional reset recommendation must catch the specific physical overfills before Space Planning releases the case set.
How to pass
Checks whether the memo identifies the exact buyer-proposal capacity conflicts by cluster and amount.
Reads
vegetarian_roleLLMPass
Why it matters
Retail food-to-go resets must protect mission coverage while avoiding a poor substitute.
How to pass
Checks whether the memo protects credible vegetarian coverage with the correct item logic.
Reads
seasonalLLMPass
Why it matters
Keeping or ambiguously deferring an unsupported winter perishable in July would create avoidable shrink and execution confusion.
How to pass
Checks whether the memo makes a concrete all-cluster zero-facing decision for the winter seasonal SKU.
Reads
traffic_profitLLMFail
Why it matters
The task requires a decision that protects lunch traffic and profit, not just deletes weak SKUs.
How to pass
Checks whether the memo prioritizes the core traffic and profitable launch items.
Reads
Failure mode Required Rationale or Authority Statement Omitted
Why it failed
The memo protects Chicken Caesar Wrap and gives Protein Snack Box launch space but never states the full required rationale together: OOS pressure for Caesar, and pilot performance, low waste, code date, and scan credit for Protein Snack Box.
Justification
The memo gives Protein Snack Box launch space in all clusters (reduced to 1 facing in Rural) and is not framed only as shrink reduction, but it does not explicitly identify Chicken Caesar Wrap as a protected/core lunch traffic driver with OOS pressure, nor does it justify Protein Snack Box with the full required rationale of strong pilot performance, low waste, long code date, and signed scan credit.
trust_hierarchyLLMPass
Why it matters
The task's central trap is that supplier projections and proposal comments conflict with the authoritative demand and vendor-term sources.
How to pass
Checks whether the memo substantively applies the source hierarchy instead of merely naming it.
Reads
scope_controlLLMPass
Why it matters
The first four weeks must be executable using only the already available items, case capacity, and signed operating terms.
How to pass
Checks whether the memo avoids invented SKUs, capacity, delivery days, credits, and route assumptions.
Reads
executionLLMFail
Why it matters
The senior merchant needs a first-four-week reset decision that Space Planning and field operations can execute without interpreting generic advice.
How to pass
Checks whether the memo provides an executable revised cluster-level assortment with slot totals.
Reads
Failure mode Allocation or Selection Plan Incorrect
Why it failed
The memo's cluster-level final facings and slot totals consistently differ from the required exact values for Metro, Highway, and Rural North.
Justification
The memo does provide cluster-level final assortments and slot totals, but it does not match the rubric’s required outcomes: Metro Core shows 10.5 used slots, not 12.0; Commuter Suburban shows 9.0, not 10.0; Campus / Hospital shows 9.0 and has no Hummus instead of Hummus 1; Highway / Travel gives Protein Snack Box 2 instead of 1; and Rural North shows 6.5, not 6.0, and includes Southwest Chicken Bowl 1 instead of 0.
workbook_structureLLMFail
Why it matters
The workbook must support the memo with granular decisions, not just summary prose.
How to pass
Checks whether the workbook contains a complete cluster-SKU decision matrix.
Reads
Failure mode Required Evidence Fields or Rows Omitted
Why it failed
The cluster-SKU decision matrix is truncated partway through the clusters, so rows for the remaining clusters and SKUs are never shown.
Justification
The extract shows a readable decision matrix on 'Proposal Reconciliation' with 'final_action' and 'final_facings' columns, but the provided matrix is truncated and only visibly includes part of Metro Core (through GGS-4HBP). It does not provide row-level entries for all 5 clusters × 10 SKUs, so required evidence for every combination is missing.
core_final_facingsLLMFail
Why it matters
This keeps the load-bearing final allocation check while avoiding double-counting the Egg Salad, Turkey Cranberry, Caprese, and Hummus decisions.
How to pass
Checks workbook final facing allocations for core traffic, base assortment, profit-launch, and route-limited SKUs not separately covered by weak-SKU or vegetarian-distribution checks.
Reads
Failure mode Allocation or Selection Plan Incorrect
Why it failed
The workbook's final facing counts for Chicken Caesar Wrap, Southwest Chicken Bowl, and the other graded SKUs consistently differ from the required per-cluster values.
Justification
Proposal Reconciliation lists Metro Core Southwest Chicken Bowl (GGS-9PQL) with final_facings = 1, but the rubric requires 2 in Metro. Because the pass condition requires the exact final facing set for the graded SKUs, this workbook does not satisfy the rubric.
capacityLLMFail
Why it matters
A capacity-constrained reset must prove both that the original proposal was corrected and that the final plan fits live case capacity.
How to pass
Checks whether the workbook numerically reconciles proposal capacity conflicts and final capacity compliance.
Reads
Failure mode Quantity, Cost, Capacity, or Rate Calculation Wrong
Why it failed
The workbook correctly shows live capacity and the buyer-proposal overages, but the final reconciled tray-slot totals per cluster do not match the required final values.
Justification
The workbook does include a numeric capacity reconciliation table with live capacities 12/10/10/8/7 and separate proposal overages (COM 10.5, CAM 10.5, HWY 8.5, RUR 7.5), but the final tray-slot uses do not match the rubric: it shows MET 10.5, COM 9, CAM 9, HWY 7.5, RUR 6.5 instead of the required MET 12.0, COM 10.0, CAM 10.0, HWY 7.5, RUR 6.0.
dropsLLMFail
Why it matters
Leaving these SKUs in the final workbook would contradict the economics and handoff.
How to pass
Checks whether the workbook removes the two weak legacy/seasonal SKUs.
Reads
Failure mode Required Evidence Fields or Rows Omitted
Why it failed
The workbook shows both weak SKUs removed in Metro Core but does not carry that same removal evidence through the other four clusters.
Justification
The provided text explicitly shows Metro has final_action Remove and final_facings 0 for both GGS-1KFV and GGS-4HBP, and the summary mentions Highway Turkey Cranberry and Rural Egg Salad being removed. But it does not provide final action/final facing evidence for both SKUs in all five clusters, so the rubric’s all-cluster requirement is not fully satisfied.
vegetarian_roleLLMFail
Why it matters
This captures the nuanced vegetarian tradeoff that generic models often miss.
How to pass
Checks whether the workbook handles Caprese and Hummus distribution correctly.
Reads
Failure mode Eligibility or Controlling Rule Applied Incorrectly
Why it failed
Caprese Ciabatta and Hummus Veggie Wrap end up eligible or ineligible in the wrong clusters relative to the MET/CAM-only Caprese rule and the COM/CAM/HWY/RUR Hummus-retention rule.
Justification
The extract supports Caprese only in Metro and Campus ("Caprese Ciabatta ... | Metro, Campus") and says Hummus removal was rejected in Commuter, Highway, and Rural, but it does not explicitly show Hummus retained in Campus / Hospital. Because the rubric requires Hummus to be retained in Campus too, not all criteria are fully evidenced.
vendor_termsLLMPass
Why it matters
Vendor-term accuracy is essential because unsupported credits or route eligibility would make the reset economics and execution plan unusable.
How to pass
Checks whether the workbook applies each signed vendor term with exact item, cluster, and credit constraints.
Reads
calculationsLLMPass
Why it matters
A supporting workbook must let reviewers verify margin, shrink, credit, OOS, and capacity logic instead of trusting unexplained conclusions.
How to pass
Checks whether the workbook includes auditable numeric economics and calculation evidence behind the decisions.
Reads

secondary (3)

capacity_disciplineLLMFail
Why it matters
Perishable reset discipline means avoiding shrink even when that leaves small amounts of capacity unused.
How to pass
Checks whether the memo accepts specific underfilled capacity rather than force-filling weak perishables.
Reads
Failure mode Quantity, Cost, Capacity, or Rate Calculation Wrong
Why it failed
The memo correctly argues for leaving some capacity open rather than force-filling weak items, but the specific Highway and Rural North open-slot numbers do not match the required 7.5/8.0 and 6.0/7.0 values.
Justification
The memo does show Highway / Travel underfilled at 7.5 of 8.0 slots with 0.5 slack and argues against unsupported items, but it does not name Rural North at 6.0 of 7.0 with 1.0 open. Instead, Rural North is listed at 6.5 of 7.0 with 0.5 slack. Because the required Rural numeric open-slot value is missing/mismatched, the rubric is not fully satisfied.
proposal_reconciliationLLMFail
Why it matters
The requested decision is not only a final assortment; it must show which proposed changes were accepted, changed, or rejected.
How to pass
Checks whether the workbook provides a substantive accept/change/reject reconciliation against the buyer proposal.
Reads
Failure mode Required Evidence Fields or Rows Omitted
Why it failed
The proposal-reconciliation content is truncated, entirely absent, or missing the required accept/reduce/reject status label even where the buyer and final values themselves are correct.
Justification
The workbook does include a 'Proposal Reconciliation' tab with proposed_action, proposed_facings, final_action, final_facings, and decision_status, but the provided extract only shows a few Metro rows and cuts off at Metro Turkey Cranberry Sandwich. It omits reconciliation rows for Caprese Ciabatta, Protein Snack Box, Spicy Tuna Sushi Roll, and the other cluster decisions for Egg Salad Croissant and Turkey Cranberry Sandwich, so the required row-level proposed vs. final values/statuses and the visible changes (Metro sushi reduced to 1, sushi rejected outside Metro, Egg Salad/Turkey Cranberry dropped in all clusters, Protein in all 5 clusters, Caprese only in Metro/Campus) are not fully evidenced.
scope_controlLLMPass
Why it matters
Extra assumptions or unrelated operational actions can make the recommendation unusable even when the core analysis appears complete.
How to pass
Checks workbook scope control and absence of materially unsolicited tabs, assumptions, or side actions.
Reads

2 deliverables · what this trial produced

grab_go_reset_memo.docx42 KB

Prepared Foods Grab-and-Go Reset — July 2026 Recommendation

Revised assortment and cluster plan for the first 4 weeks of the refrigerated grab-and-go reset

To:

L. Moreno, Senior Merchant – Prepared Foods; Space Planning

From:

Category Planning

Date:

June 19, 2026

Re:

Decision on the July grab-and-go reset proposal (buyer line review dated June 12, 2026)

Bottom line

The buyer proposal does not fit the live case and should not go to Space Planning as written. Converted to tray slots, it exceeds available capacity in 4 of 5 clusters and uses 100% of Metro Core’s capacity with zero slack. It also extends two vendor-signed items — Spicy Tuna Sushi Roll and Caprese Ciabatta — into clusters and routes those vendors did not sign for, and it would leave Highway/Travel and Rural North without a compliant vegetarian option. The recommendation below fits live tray capacity with slack in every cluster, keeps every item within its signed vendor terms, and is built entirely from internal sales, waste, and inventory records rather than supplier projections or buyer commentary. Of the 50 proposal lines (10 items × 5 clusters), 39 are accepted as submitted, 2 are changed (facing counts only), and 9 are rejected — detail in the sections below and in the companion workbook.

Revised cluster-level assortment

Facing counts are final for the first 4 weeks. Tray-slot usage accounts for each item's actual tray footprint (some items use 1.5 slots/facing), not just facing counts.

Cluster

Store count / deliveries

Tray slots(avail / used / slack)

Final assortment (facings)

Metro Core

18 stores, 5 del/wk

12.0 / 10.5 / 1.5

Chicken Caesar Wrap (2), Turkey Club Sandwich (1), Southwest Chicken Bowl (1), Cobb Salad (1), Caprese Ciabatta (1, NEW – vegetarian anchor), Protein Snack Box (2, NEW), Spicy Tuna Sushi Roll (1, NEW – phased)

Commuter Suburban

26 stores, 4 del/wk

10.0 / 9.0 / 1.0

Chicken Caesar Wrap (1), Turkey Club Sandwich (2), Southwest Chicken Bowl (1), Cobb Salad (1), Hummus Veggie Wrap (1, RETAINED – vegetarian anchor), Protein Snack Box (2, NEW)

Campus / Hospital

11 stores, 5 del/wk

10.0 / 9.0 / 1.0

Chicken Caesar Wrap (2), Turkey Club Sandwich (1), Southwest Chicken Bowl (1), Cobb Salad (1), Caprese Ciabatta (1, NEW – vegetarian anchor), Protein Snack Box (2, NEW)

Highway / Travel

15 stores, 3 del/wk

8.0 / 7.5 / 0.5

Chicken Caesar Wrap (1), Turkey Club Sandwich (2), Southwest Chicken Bowl (1), Hummus Veggie Wrap (1, RETAINED – vegetarian anchor), Protein Snack Box (2, NEW)

Rural North

14 stores, 2 del/wk

7.0 / 6.5 / 0.5

Chicken Caesar Wrap (1), Turkey Club Sandwich (2), Southwest Chicken Bowl (1), Hummus Veggie Wrap (1, RETAINED – swapped in for Egg Salad Croissant), Protein Snack Box (1, reduced)

Removed from the July set chainwide: Egg Salad Croissant (kept only where noted above, now removed there too), Turkey Cranberry Sandwich (all clusters). Not added anywhere the signed vendor terms or internal pilot data didn't support it: Caprese Ciabatta in Highway/Rural, Spicy Tuna Sushi Roll outside Metro Core.

Highest-risk parts of the proposal, and what changes

Ranked by execution and financial risk. Full rationale and source data for every one of the 50 proposal lines is in the workbook's Proposal Reconciliation tab.

1. The proposal doesn't fit the live case

The proposal was built without reconciling to tray capacity. Converting proposed facings to tray slots (each item's actual footprint per the item master, not just its facing count) shows every cluster at or over capacity:

Cluster

Tray slots available

Proposal (slots used)

Result

Metro Core

12.0

Exact fit — zero slack

Commuter Suburban

10.0

10.5

Over capacity by 0.5 slots

Campus / Hospital

10.0

10.5

Over capacity by 0.5 slots

Highway / Travel

8.0

8.5

Over capacity by 0.5 slots

Rural North

7.0

7.5

Over capacity by 0.5 slots

The pending Metro Core lease-line tray expansion is explicitly not approved for the July reset and cannot be used to paper over this. The recommended plan (see cluster table above) fits all five clusters with 0.5 to 1.5 slots of slack by rightsizing two facing counts and rejecting three additions that don't clear the vendor-terms or demand-data bar below — not by inventing capacity.

2. Sushi and Caprese were extended beyond what their vendors signed for

Spicy Tuna Sushi Roll (Sakura Express) is signed for daily delivery and a 50% waste credit only on Metro Core's "route M-11." The letter states plainly that "Campus and Commuter pilot samples were line-review tests and are not part of the signed launch commitment." The proposal added it in Commuter (1 facing) and Campus (1 facing) anyway, leaning on a supplier traffic estimate for exactly the clusters where the pilot was thinnest — the kind of demand source the handoff rules out. The internal pilot data explains why the vendor drew the line where it did: 32.5% shrink in Commuter and 26.1% in Campus, the two worst shrink rates of any item/cluster in this entire review (versus 10.6% in Metro Core, where the route and credit are actually signed). Reject both adds.

Caprese Ciabatta (GreenFork) is explicitly excluded from Highway/Travel and Rural North route expansion under the signed letter, and no pilot ever ran in either cluster. The proposal added a facing in Highway anyway. Reject.

3. The vegetarian-anchor swap doesn't hold in every cluster

The proposal's rationale for pulling Hummus Veggie Wrap was identical in all 5 clusters ("removes this to make room for the Caprese launch") — the same sentence copy-pasted regardless of local fit, which suggests the swap wasn't actually checked cluster by cluster. It doesn't hold up in three of them:

Highway/Travel and Rural North: Caprese isn't contractually available in either cluster (see above), so removing Hummus would leave both without a compliant vegetarian option. Rural's proposal would have leaned on Egg Salad Croissant alone — which the handoff explicitly bars from being a cluster's only vegetarian answer. Keep Hummus as the anchor in both.

Commuter Suburban: Caprese is contractually fine here, but the pilot data doesn't support the swap — Commuter's current Hummus (2.18 units/store/week, 8.7% shrink, $7.33/store/week net contribution) outperforms its own Caprese pilot (1.83 units/store/week, 16.4% shrink, $6.33/store/week) on every metric. The handoff's own guidance is to use Caprese "selectively" and keep Hummus where it isn't a clean fit — this is that case. Keep Hummus; don't add Caprese.

Metro Core and Campus/Hospital: here the pilot data clearly favors Caprese over Hummus on velocity, shrink, and $ contribution, and Campus's "meatless options over-index" mission fits the trade-up. Proceed with the swap as proposed in these two clusters only.

4. Two seasonal/legacy holdovers don't belong in the July set

Turkey Cranberry Sandwich (Highway/Travel): the proposal kept 1 facing "if space allows" on a store request. It's a winter seasonal item; the signed EatWell letter authorizes no returns or billbacks after January 31, 2026, and the handoff explicitly bars keeping winter seasonal sandwiches to fill space. Internal data agrees: 22.4% shrink and the steepest sales decline of any item/cluster in the chain (-12.5% over 8 weeks). Remove.

Egg Salad Croissant (Rural North): the proposal kept 1 facing on a rural DM request. Once Hummus is restored as Rural's vegetarian anchor, this item is no longer needed, and the data doesn't support it either — the weakest net contribution of any cluster for this SKU ($1.79/store/week) with 24.3% shrink. Remove.

5. Two new items need facing-level risk management, not a flat yes/no

Spicy Tuna Sushi Roll (Metro Core): proposal added 2 facings, which is exactly what pushes Metro Core to zero slack (see #1). The signed Sakura Express letter also ties the daily route and credit to "route M-11" specifically — the files don't confirm whether that covers all 18 Metro Core stores or a subset. Launch at 1 facing to hold 1.5 slots of buffer; expand to 2 at the next reset once Space Planning confirms the M-11 store list and 4 weeks of chainwide sell-through are in hand.

Protein Snack Box (Rural North): proposal added 2 facings. Rural's pilot velocity (1.84 units/store/week) is the lowest of any cluster piloted — still positive and growing (+3.4%), just not enough to justify 2 facings in the chain's most delivery-constrained cluster (2 deliveries/week). Reduce to 1 facing; this is also the change that closes Rural's capacity overflow.

Supporting economics

Chainwide weekly shrink-adjusted net contribution (gross margin less waste cost net of signed vendor waste credits), summed across all included cluster/item lines:

Scenario

Chainwide $/week

Buyer proposal as submitted (before capacity/contract fixes)

$6,768

Recommended plan (fits capacity + signed terms)

$6,655

Delta

($112) / -1.7%

This is not money left on the table — it nets three offsetting moves: (1) +$328/week from rejecting the proposed removal of Hummus Veggie Wrap in Commuter, Highway, and Rural (keeping it as the vegetarian anchor there instead of Caprese or nothing); (2) −$368/week from rejecting three additions built on uncontracted or thin-pilot volume (Commuter Caprese, Commuter Sushi, Campus Sushi — the latter two piloted at 26–33% shrink, the worst in the assortment); (3) −$72/week from removing the two items the proposal kept against the handoff's own rules (Highway Turkey Cranberry, Rural Egg Salad). The recommended total is the one that's actually executable at signed terms and lawful tray capacity; the buyer total was never achievable as submitted.

Vendor launch-support caps — recommended plan, first 4–6 weeks:

Item

Est. units over window

Cap

% of cap

Caprese Ciabatta (Metro, Campus; 4 wks, Jul 13–Aug 9)

~373

5,500

6.8%

Protein Snack Box (all 5 clusters; first 6 wks)

~1,821

8,000

22.8%

Spicy Tuna Sushi Roll (Metro only, 1 facing)

50% waste credit thru Aug 16 — no unit cap

n/a

Neither unit cap is a binding constraint at the recommended facing counts. Volume estimates extrapolate pilot-store per-store-week rates to full cluster store counts; pilot stores were a non-random subset, so treat these as directional, not committed.

Execution risks for Space Planning

Metro Core has zero slack at the buyer's proposed facings (12.0 of 12.0 tray slots) — any facing miscount or delivery miss breaks the case. The recommendation launches Sushi at 1 facing (not 2) to hold 1.5 slots of buffer.

Sakura Express's signed daily route and 50% waste credit name "route M-11" stores specifically, not all 18 Metro Core stores; the files don't confirm whether M-11 covers the full cluster. Confirm the M-11 store list before wiring the 2nd Sushi facing at the next reset.

Caprese and Sushi pilots only ran in Metro/Commuter/Campus — there is no internal demand signal at all for Highway or Rural North, independent of the route restrictions that already block them there.

Hummus and Caprese only carry the GreenFork 30% shrink credit in stores receiving 4+ GreenFork deliveries/week. Highway (3/wk) and Rural (2/wk) fall below that line, so Hummus's shrink exposure in those two clusters is real and uncredited — worth an active portion/pack review, not just a facing decision.

Facing-count reductions (Metro Sushi 2→1, Rural Protein Snack Box 2→1) are sized off observed pilot per-store rates; we don't have facing-elasticity data, so realized volume at the lower facing count could land slightly below the pilot rate.

Full item-level economics, the complete 50-line proposal reconciliation, and the tray-capacity math behind every number above are in the companion workbook, reset_decision_workbook.xlsx (tabs: Summary, Cluster Final Assortment, Proposal Reconciliation, Capacity Check, Item Economics, Weekly Raw Data, Item Master, Vendor Terms).

reset_decision_workbook.xlsx86 KB

Summary44 rows

Prepared Foods Grab-and-Go Reset -- Decision Workbook
Blue Mesa Market \| Q3 2026 refrigerated grab-and-go case \| First 4 weeks of July reset
Prepared for: L. Moreno, Senior Merchant - Prepared Foods \| Prepared by: Category Planning
HEADLINE FINDING
The buyer proposal, as submitted, does not fit the live case: it exceeds available tray capacity in 4 of 5 clusters (Commuter, Campus, Highway, Rural) and uses 100% of capacity with zero slack in the 5th (Metro). It also extends two vendor-signed items (Sushi, Caprese) into clusters/routes those vendors did not sign for, and would leave two clusters (Highway, Rural) without a compliant vegetarian option. This workbook reconciles the proposal against tray capacity, signed vendor terms, and internal sales/waste data, and shows a revised plan that fits capacity with positive slack in all 5 clusters.
DECISION COUNTS (50 proposal lines: 10 items x 5 clusters)
cluster_code	cluster_name	Accept	Change	Reject	Total
MET	Metro Core	9	1	0	10
COM	Commuter Suburban	7	0	3	10
CAM	Campus / Hospital	9	0	1	10
HWY	Highway / Travel	7	0	3	10
RUR	Rural North	7	1	2	10
	Chainwide total	39	2	9	50
CAPACITY CHECK (tray slots)
cluster_code	cluster_name	tray_slots_available	proposed_slots_used	proposed_status	final_slots_used	final_status
MET	Metro Core	12	12	Exact fit - no slack	10.5	Fits
COM	Commuter Suburban	10	10.5	OVER CAPACITY	9	Fits
CAM	Campus / Hospital	10	10.5	OVER CAPACITY	9	Fits
HWY	Highway / Travel	8	8.5	OVER CAPACITY	7.5	Fits
RUR	Rural North	7	7.5	OVER CAPACITY	6.5	Fits
CHAINWIDE WEEKLY ECONOMICS ($, shrink-adjusted net contribution)
Buyer proposal as submitted (before capacity/contract fixes)			6767.69179166667
Recommended plan (fits capacity + signed terms)			6655.483875
Delta			-112.207916666667
Note: the small net delta is not money left on the table -- it nets three offsetting moves. (1) +$328/week from rejecting the proposed removal of Hummus Veggie Wrap in Commuter, Highway, and Rural (keeping it as the vegetarian anchor there instead of Caprese or nothing). (2) -$368/week from rejecting three additions that leaned on uncontracted or thin-pilot volume (Commuter Caprese, Commuter Sushi, Campus Sushi -- the latter two piloted at 26-33% shrink, the worst in the assortment). (3) -$72/week from removing two items the proposal kept against the handoff's rules (Highway Turkey Cranberry Sandwich -- seasonal filler with no billback protection after 1/31/26 -- and Rural Egg Salad Croissant, which the handoff bars from being a cluster's only vegetarian option). The recommended plan is the one that is actually executable at signed terms; the buyer total is not.
VENDOR LAUNCH-SUPPORT CAP CHECK (recommended plan, 4-week reset window)
item	clusters_carrying	est_chainwide_weekly_units	est_units_over_window	window	unit_cap	pct_of_cap	est_$_credit
Caprese Ciabatta (GreenFork)	Metro, Campus	93.3	373.2	4 weeks (Jul 13-Aug 9)	5500	0.0678545454545455	149.28
Protein Snack Box (Urban Spoon)	All 5 clusters	303.5375	1821.225	6 weeks (first six weeks of reset)	8000	0.227653125	637.42875
Spicy Tuna Sushi Roll (Sakura, Metro-only)	Metro only (1 facing)	56.75	227	No unit cap -- 50% waste credit thru Aug 16 instead	n/a	n/a	n/a -- waste credit, not per-unit
Both unit caps have wide headroom at the recommended facing counts -- neither is a binding constraint for the first 4-6 weeks. Volume estimates extrapolate pilot-store per-store-week rates to full cluster store counts; pilot stores were a non-random subset, so treat these as directional, not committed.
TOP EXECUTION RISKS
-	Metro Core has zero slack at the buyer's proposed facings (12.0 of 12.0 tray slots) -- any facing miscount or delivery miss breaks the case. Recommendation launches Sushi at 1 facing (not 2) to hold 1.5 slots of buffer.
-	Sakura Express's signed daily route + 50% waste credit names 'route M-11' stores specifically, not all 18 Metro Core stores; the files do not confirm whether M-11 covers the full cluster. Space Planning should confirm the M-11 store list before wiring the 2nd Sushi facing at the next reset.
-	Caprese and Sushi pilots only ran in Metro/Commuter/Campus -- there is no internal demand signal at all for Highway or Rural North, independent of the route restrictions that already block them there.
-	Hummus and Caprese only carry the GreenFork 30% shrink credit in stores receiving >=4 GreenFork deliveries/week. Highway (3/wk) and Rural (2/wk) fall below that line, so Hummus's shrink risk in those two clusters is real and uncredited -- worth an active portion/pack review, not just a facing decision.
-	Sushi's own pilot data outside Metro shows 26-33% shrink (Commuter, Campus) -- by far the worst in the assortment -- reinforcing the contractual rejection with a demand-side one.
-	Facing-count reductions (Metro Sushi 2->1, Rural Protein Snack Box 2->1) are modeled at the observed pilot per-store rate; the workbook does not have facing-elasticity data, so realized volume at the lower facing count could come in slightly below the pilot rate.
See tabs: Cluster Final Assortment \| Proposal Reconciliation \| Capacity Check \| Item Economics \| Weekly Raw Data \| Item Master \| Vendor Terms

Item Master10 rows

sku	item	status	vendor	role	diet_flag	shelf_life_days	case_pack	tray_slots_per_facing	retail_price	unit_cost	margin_per_unit	order_multiple_cases	first_available_date	current_core
GGS-84QJ	Chicken Caesar Wrap	Current	EatWell Foods	Core wrap	Meat	3	12	1	5.99	2.38	3.61	1	2024-03-18	Yes
GGS-2VWK	Turkey Club Sandwich	Current	EatWell Foods	Core sandwich	Meat	3	10	1	6.49	2.64	3.85	1	2023-08-07	Yes
GGS-9PQL	Southwest Chicken Bowl	Current	Urban Spoon	Bowl meal	Meat	3	8	1.5	7.99	3.45	4.54	1	2024-09-09	Yes
GGS-5MTC	Hummus Veggie Wrap	Current	GreenFork Kitchen	Vegetarian lunch	Vegetarian	2	8	1	6.29	2.75	3.54	1	2023-05-01	No
GGS-7DNL	Cobb Salad	Current	FreshPack Deli	Salad meal	Meat	3	6	1.5	8.49	3.72	4.77	1	2024-01-22	No
GGS-1KFV	Egg Salad Croissant	Current	FreshPack Deli	Legacy sandwich	Egg vegetarian	2	8	1	5.49	2.28	3.21	1	2022-06-13	No
GGS-4HBP	Turkey Cranberry Sandwich	Current seasonal	EatWell Foods	Winter seasonal	Meat	3	10	1	6.59	2.95	3.64	1	2025-10-27	No
GGS-3RZA	Caprese Ciabatta	Candidate	GreenFork Kitchen	Vegetarian lunch	Vegetarian	2	8	1	6.99	3.1	3.89	1	2026-06-24	No
GGS-6BGH	Protein Snack Box	Candidate	Urban Spoon	Protein snack / light meal	Mixed protein	5	10	1	6.79	2.94	3.85	1	2026-06-24	No
GGS-8XUY	Spicy Tuna Sushi Roll	Candidate	Sakura Express	Sushi / novelty lunch	Fish	1	12	1.5	9.99	4.3	5.69	1	2026-07-08	No

Vendor Terms4 rows

vendor	signed_date	signed_by	covered_items	launch_support	shrink_credit	route_limits	service_note_other
GreenFork Kitchen	2026-06-05	M. Patel, GreenFork Kitchen	GGS-5MTC Hummus Veggie Wrap; GGS-3RZA Caprese Ciabatta	$0.40 per scanned unit on GGS-3RZA receipts dated July 13-August 9, capped at 5,500 scanned units.	30% credit on documented waste units for covered GreenFork items, only in stores receiving GreenFork delivery at least 4 days/week.	Highway/Travel and Rural North are NOT approved for Caprese route expansion under this letter. Future expansion requires a new signed routing addendum.	GreenFork products carry a two-day code at store receipt.
Urban Spoon	2026-06-06	T. Nguyen, Urban Spoon	GGS-9PQL Southwest Chicken Bowl; GGS-6BGH Protein Snack Box	$0.35 per scanned unit on GGS-6BGH during the first six weeks of the Q3 reset, capped at 8,000 scanned units.	No shrink credit. Normal returns policy only for verified mis-picks.	Current Urban Spoon delivery routes cover all five Blue Mesa clusters on the existing replenishment cadence.	GGS-6BGH carries a five-day code; GGS-9PQL carries a three-day code.
Sakura Express	2026-06-07	A. Watanabe, Sakura Express	GGS-8XUY Spicy Tuna Sushi Roll	Metro Core route M-11 stores only: 50% credit on documented waste units through August 16. No scan allowance.	(see launch support - credit is route-restricted, see route_limits)	Daily fresh route and credit apply ONLY to Metro Core stores listed on route M-11. Campus and Commuter pilot samples were line-review tests and are NOT part of the signed launch commitment. No credit or service-level guarantee outside Metro Core unless separately signed.	One-day code. Stores must receive daily delivery; do not hold over. Case pack is 12 units.
EatWell Foods	2026-05-30	C. Reeves, EatWell Foods	GGS-84QJ Chicken Caesar Wrap; GGS-2VWK Turkey Club Sandwich; GGS-4HBP Turkey Cranberry Sandwich	No Q3 scan allowance. Standard volume pricing remains in place.	No shrink credit under this letter.	Current EatWell delivery routes cover all five Blue Mesa clusters on the existing replenishment cadence. Turkey Cranberry Sandwich was a winter feature -- returns or billbacks after January 31, 2026 are NOT authorized.	Covered EatWell items carry a three-day code at store receipt.

Capacity Check14 rows

Cluster reference (from store_cluster_capacity.csv)
cluster_code	cluster_name	store_count	deliveries_per_week	tray_slots_available	extra_tray_project_note	cluster_notes
MET	Metro Core	18	5	12	Pending September lease-line change; not approved for July reset	Dense lunch traffic; daily prepared-food replenishment except Sunday.
COM	Commuter Suburban	26	4	10	No incremental tray capacity this reset	Office parks and commuter corridors; strongest weekday lunch.
CAM	Campus / Hospital	11	5	10	No incremental tray capacity this reset	Late lunch and evening snack missions; meatless options over-index.
HWY	Highway / Travel	15	3	8	No incremental tray capacity this reset	Fewer delivery touches; travel purchase pattern favors familiar sandwiches.
RUR	Rural North	14	2	7	No incremental tray capacity this reset	Long delivery gap and highest transfer cost; do not chase low-repeat novelty.
Capacity reconciliation: buyer proposal vs. recommended plan
cluster_code	cluster_name	tray_slots_available	proposed_slots_used	proposed_over_under	proposed_status	final_slots_used	final_over_under	final_status
MET	Metro Core	12	12	0	Exact fit - no slack	10.5	1.5	Fits
COM	Commuter Suburban	10	10.5	-0.5	OVER CAPACITY	9	1	Fits
CAM	Campus / Hospital	10	10.5	-0.5	OVER CAPACITY	9	1	Fits
HWY	Highway / Travel	8	8.5	-0.5	OVER CAPACITY	7.5	0.5	Fits
RUR	Rural North	7	7.5	-0.5	OVER CAPACITY	6.5	0.5	Fits
22		47	49	-2	42.5		4.5

Weekly Raw Data59 rows · 309 not shown

week_start	cluster_code	cluster_name	sku	item	range_type	stores_ranged	net_sales_units	waste_units	oos_store_days	receipts_units	ending_on_hand_units	period	units_per_store_this_week	key
46118	MET	Metro Core	GGS-84QJ	Chicken Caesar Wrap	Current set	18	99	5	5.2	102	26	First4	5.5	MET\|GGS-84QJ
46125	MET	Metro Core	GGS-84QJ	Chicken Caesar Wrap	Current set	18	98	5	5.3	107	30	First4	5.44444444444445	MET\|GGS-84QJ
46132	MET	Metro Core	GGS-84QJ	Chicken Caesar Wrap	Current set	18	97	5	6.7	105	33	First4	5.38888888888889	MET\|GGS-84QJ
46139	MET	Metro Core	GGS-84QJ	Chicken Caesar Wrap	Current set	18	108	5	3	113	33	First4	6	MET\|GGS-84QJ
46146	MET	Metro Core	GGS-84QJ	Chicken Caesar Wrap	Current set	18	88	5	2.4	93	33	Last4	4.88888888888889	MET\|GGS-84QJ
46153	MET	Metro Core	GGS-84QJ	Chicken Caesar Wrap	Current set	18	92	5	5.2	99	35	Last4	5.11111111111111	MET\|GGS-84QJ
46160	MET	Metro Core	GGS-84QJ	Chicken Caesar Wrap	Current set	18	96	5	4.7	103	37	Last4	5.33333333333333	MET\|GGS-84QJ
46167	MET	Metro Core	GGS-84QJ	Chicken Caesar Wrap	Current set	18	114	6	3.5	123	40	Last4	6.33333333333333	MET\|GGS-84QJ
46118	COM	Commuter Suburban	GGS-84QJ	Chicken Caesar Wrap	Current set	26	124	5	3.1	129	41	First4	4.76923076923077	COM\|GGS-84QJ
46125	COM	Commuter Suburban	GGS-84QJ	Chicken Caesar Wrap	Current set	26	144	6	3.8	149	40	First4	5.53846153846154	COM\|GGS-84QJ
46132	COM	Commuter Suburban	GGS-84QJ	Chicken Caesar Wrap	Current set	26	121	5	8.5	126	40	First4	4.65384615384615	COM\|GGS-84QJ
46139	COM	Commuter Suburban	GGS-84QJ	Chicken Caesar Wrap	Current set	26	125	5	3.3	127	37	First4	4.80769230769231	COM\|GGS-84QJ
46146	COM	Commuter Suburban	GGS-84QJ	Chicken Caesar Wrap	Current set	26	136	6	3.4	143	38	Last4	5.23076923076923	COM\|GGS-84QJ
46153	COM	Commuter Suburban	GGS-84QJ	Chicken Caesar Wrap	Current set	26	117	5	2.7	126	42	Last4	4.5	COM\|GGS-84QJ
46160	COM	Commuter Suburban	GGS-84QJ	Chicken Caesar Wrap	Current set	26	132	5	6.6	134	39	Last4	5.07692307692308	COM\|GGS-84QJ
46167	COM	Commuter Suburban	GGS-84QJ	Chicken Caesar Wrap	Current set	26	126	5	5.2	132	40	Last4	4.84615384615385	COM\|GGS-84QJ
46118	CAM	Campus / Hospital	GGS-84QJ	Chicken Caesar Wrap	Current set	11	66	3	2.7	68	16	First4	6	CAM\|GGS-84QJ
46125	CAM	Campus / Hospital	GGS-84QJ	Chicken Caesar Wrap	Current set	11	79	3	1.9	84	18	First4	7.18181818181818	CAM\|GGS-84QJ
46132	CAM	Campus / Hospital	GGS-84QJ	Chicken Caesar Wrap	Current set	11	85	3	1.4	87	17	First4	7.72727272727273	CAM\|GGS-84QJ
46139	CAM	Campus / Hospital	GGS-84QJ	Chicken Caesar Wrap	Current set	11	72	3	1.4	78	20	First4	6.54545454545455	CAM\|GGS-84QJ
46146	CAM	Campus / Hospital	GGS-84QJ	Chicken Caesar Wrap	Current set	11	65	3	4	65	17	Last4	5.90909090909091	CAM\|GGS-84QJ
46153	CAM	Campus / Hospital	GGS-84QJ	Chicken Caesar Wrap	Current set	11	74	3	1.2	80	20	Last4	6.72727272727273	CAM\|GGS-84QJ
46160	CAM	Campus / Hospital	GGS-84QJ	Chicken Caesar Wrap	Current set	11	72	2	4.1	73	19	Last4	6.54545454545455	CAM\|GGS-84QJ
46167	CAM	Campus / Hospital	GGS-84QJ	Chicken Caesar Wrap	Current set	11	85	3	2.9	91	22	Last4	7.72727272727273	CAM\|GGS-84QJ
46118	HWY	Highway / Travel	GGS-84QJ	Chicken Caesar Wrap	Current set	15	65	3	3.6	65	21	First4	4.33333333333333	HWY\|GGS-84QJ
46125	HWY	Highway / Travel	GGS-84QJ	Chicken Caesar Wrap	Current set	15	74	4	4.4	77	20	First4	4.93333333333333	HWY\|GGS-84QJ
46132	HWY	Highway / Travel	GGS-84QJ	Chicken Caesar Wrap	Current set	15	63	3	3.5	67	21	First4	4.2	HWY\|GGS-84QJ
46139	HWY	Highway / Travel	GGS-84QJ	Chicken Caesar Wrap	Current set	15	71	4	3	75	21	First4	4.73333333333333	HWY\|GGS-84QJ
46146	HWY	Highway / Travel	GGS-84QJ	Chicken Caesar Wrap	Current set	15	67	3	5.5	73	24	Last4	4.46666666666667	HWY\|GGS-84QJ
46153	HWY	Highway / Travel	GGS-84QJ	Chicken Caesar Wrap	Current set	15	78	4	4.2	80	22	Last4	5.2	HWY\|GGS-84QJ
46160	HWY	Highway / Travel	GGS-84QJ	Chicken Caesar Wrap	Current set	15	73	4	3.5	74	19	Last4	4.86666666666667	HWY\|GGS-84QJ
46167	HWY	Highway / Travel	GGS-84QJ	Chicken Caesar Wrap	Current set	15	74	4	4.3	77	18	Last4	4.93333333333333	HWY\|GGS-84QJ
46118	RUR	Rural North	GGS-84QJ	Chicken Caesar Wrap	Current set	14	55	3	3.1	60	24	First4	3.92857142857143	RUR\|GGS-84QJ
46125	RUR	Rural North	GGS-84QJ	Chicken Caesar Wrap	Current set	14	57	3	3.6	64	28	First4	4.07142857142857	RUR\|GGS-84QJ
46132	RUR	Rural North	GGS-84QJ	Chicken Caesar Wrap	Current set	14	54	3	5.4	57	28	First4	3.85714285714286	RUR\|GGS-84QJ
46139	RUR	Rural North	GGS-84QJ	Chicken Caesar Wrap	Current set	14	53	3	4.2	60	32	First4	3.78571428571429	RUR\|GGS-84QJ
46146	RUR	Rural North	GGS-84QJ	Chicken Caesar Wrap	Current set	14	51	3	4.4	56	34	Last4	3.64285714285714	RUR\|GGS-84QJ
46153	RUR	Rural North	GGS-84QJ	Chicken Caesar Wrap	Current set	14	46	2	5.7	45	31	Last4	3.28571428571429	RUR\|GGS-84QJ
46160	RUR	Rural North	GGS-84QJ	Chicken Caesar Wrap	Current set	14	47	3	5	50	31	Last4	3.35714285714286	RUR\|GGS-84QJ
46167	RUR	Rural North	GGS-84QJ	Chicken Caesar Wrap	Current set	14	50	3	5.7	51	29	Last4	3.57142857142857	RUR\|GGS-84QJ
46118	MET	Metro Core	GGS-2VWK	Turkey Club Sandwich	Current set	18	50	2	1.4	51	27	First4	2.77777777777778	MET\|GGS-2VWK
46125	MET	Metro Core	GGS-2VWK	Turkey Club Sandwich	Current set	18	56	2	1.3	55	24	First4	3.11111111111111	MET\|GGS-2VWK
46132	MET	Metro Core	GGS-2VWK	Turkey Club Sandwich	Current set	18	62	3	0.7	63	22	First4	3.44444444444444	MET\|GGS-2VWK
46139	MET	Metro Core	GGS-2VWK	Turkey Club Sandwich	Current set	18	51	2	0.8	50	19	First4	2.83333333333333	MET\|GGS-2VWK
46146	MET	Metro Core	GGS-2VWK	Turkey Club Sandwich	Current set	18	57	2	1.7	60	20	Last4	3.16666666666667	MET\|GGS-2VWK
46153	MET	Metro Core	GGS-2VWK	Turkey Club Sandwich	Current set	18	62	3	1	65	20	Last4	3.44444444444444	MET\|GGS-2VWK
46160	MET	Metro Core	GGS-2VWK	Turkey Club Sandwich	Current set	18	55	2	0.3	56	19	Last4	3.05555555555556	MET\|GGS-2VWK
46167	MET	Metro Core	GGS-2VWK	Turkey Club Sandwich	Current set	18	52	2	0.7	52	17	Last4	2.88888888888889	MET\|GGS-2VWK
46118	COM	Commuter Suburban	GGS-2VWK	Turkey Club Sandwich	Current set	26	115	5	1.2	117	38	First4	4.42307692307692	COM\|GGS-2VWK
46125	COM	Commuter Suburban	GGS-2VWK	Turkey Club Sandwich	Current set	26	119	5	1.6	123	37	First4	4.57692307692308	COM\|GGS-2VWK
46132	COM	Commuter Suburban	GGS-2VWK	Turkey Club Sandwich	Current set	26	132	5	0.6	139	39	First4	5.07692307692308	COM\|GGS-2VWK
46139	COM	Commuter Suburban	GGS-2VWK	Turkey Club Sandwich	Current set	26	103	4	2.4	108	40	First4	3.96153846153846	COM\|GGS-2VWK
46146	COM	Commuter Suburban	GGS-2VWK	Turkey Club Sandwich	Current set	26	105	5	1.9	114	44	Last4	4.03846153846154	COM\|GGS-2VWK
46153	COM	Commuter Suburban	GGS-2VWK	Turkey Club Sandwich	Current set	26	127	5	0.4	132	44	Last4	4.88461538461539	COM\|GGS-2VWK
46160	COM	Commuter Suburban	GGS-2VWK	Turkey Club Sandwich	Current set	26	112	5	1.2	114	41	Last4	4.30769230769231	COM\|GGS-2VWK
46167	COM	Commuter Suburban	GGS-2VWK	Turkey Club Sandwich	Current set	26	104	4	1.9	110	43	Last4	4	COM\|GGS-2VWK
46118	CAM	Campus / Hospital	GGS-2VWK	Turkey Club Sandwich	Current set	11	34	2	0.7	33	14	First4	3.09090909090909	CAM\|GGS-2VWK
46125	CAM	Campus / Hospital	GGS-2VWK	Turkey Club Sandwich	Current set	11	38	2	0.1	40	14	First4	3.45454545454545	CAM\|GGS-2VWK
46132	CAM	Campus / Hospital	GGS-2VWK	Turkey Club Sandwich	Current set	11	45	3	0.5	50	16	First4	4.09090909090909	CAM\|GGS-2VWK

Item Economics46 rows

cluster_code	cluster_name	sku	item	key	range_type	stores_ranged	weeks_count	total_net_sales	total_waste	total_receipts	avg_oos_store_days	units_per_store_week	waste_per_store_week	shrink_rate_pct	oos_pct_of_week	first4_avg_upsw	last4_avg_upsw	trend_pct	vendor	tray_slots_per_facing	shelf_life_days	retail_price	unit_cost	margin_per_unit	gm_dollars_per_store_week	shrink_credit_rate	effective_waste_cost_per_store_week	net_contribution_per_store_week	store_count	chainwide_weekly_net_contribution
MET	Metro Core	GGS-84QJ	Chicken Caesar Wrap	MET\|GGS-84QJ	Current set	18	8	792	41	845	4.5	5.5	0.284722222222222	0.0492196878751501	0.0357142857142857	5.58333333333333	5.41666666666667	-0.0298507462686569	EatWell Foods	1	3	5.99	2.38	3.61	19.855	0	0.677638888888889	19.1773611111111	18	345.1925
COM	Commuter Suburban	GGS-84QJ	Chicken Caesar Wrap	COM\|GGS-84QJ	Current set	26	8	1025	42	1066	4.575	4.92788461538462	0.201923076923077	0.0393626991565136	0.0251373626373626	4.94230769230769	4.91346153846154	-0.00583657587548645	EatWell Foods	1	3	5.99	2.38	3.61	17.7896634615385	0	0.480576923076923	17.3090865384615	26	450.03625
CAM	Campus / Hospital	GGS-84QJ	Chicken Caesar Wrap	CAM\|GGS-84QJ	Current set	11	8	598	23	626	2.45	6.79545454545455	0.261363636363636	0.037037037037037	0.0318181818181818	6.86363636363636	6.72727272727273	-0.0198675496688741	EatWell Foods	1	3	5.99	2.38	3.61	24.5315909090909	0	0.622045454545455	23.9095454545455	11	263.005
HWY	Highway / Travel	GGS-84QJ	Chicken Caesar Wrap	HWY\|GGS-84QJ	Current set	15	8	565	29	588	4	4.70833333333333	0.241666666666667	0.0488215488215488	0.0380952380952381	4.55	4.86666666666667	0.0695970695970697	EatWell Foods	1	3	5.99	2.38	3.61	16.9970833333333	0	0.575166666666667	16.4219166666667	15	246.32875
RUR	Rural North	GGS-84QJ	Chicken Caesar Wrap	RUR\|GGS-84QJ	Current set	14	8	413	23	443	4.6375	3.6875	0.205357142857143	0.0527522935779817	0.0473214285714286	3.91071428571429	3.46428571428571	-0.114155251141552	EatWell Foods	1	3	5.99	2.38	3.61	13.311875	0	0.48875	12.823125	14	179.52375
MET	Metro Core	GGS-2VWK	Turkey Club Sandwich	MET\|GGS-2VWK	Current set	18	8	445	18	452	0.9875	3.09027777777778	0.125	0.0388768898488121	0.00783730158730159	3.04166666666667	3.13888888888889	0.0319634703196346	EatWell Foods	1	3	6.49	2.64	3.85	11.8975694444444	0	0.33	11.5675694444444	18	208.21625
COM	Commuter Suburban	GGS-2VWK	Turkey Club Sandwich	COM\|GGS-2VWK	Current set	26	8	917	38	957	1.4	4.40865384615385	0.182692307692308	0.0397905759162304	0.00769230769230769	4.50961538461539	4.30769230769231	-0.0447761194029852	EatWell Foods	1	3	6.49	2.64	3.85	16.9733173076923	0	0.482307692307692	16.4910096153846	26	428.76625
CAM	Campus / Hospital	GGS-2VWK	Turkey Club Sandwich	CAM\|GGS-2VWK	Current set	11	8	306	17	322	0.575	3.47727272727273	0.193181818181818	0.0526315789473684	0.00746753246753247	3.59090909090909	3.36363636363636	-0.0632911392405064	EatWell Foods	1	3	6.49	2.64	3.85	13.3875	0	0.51	12.8775	11	141.6525
HWY	Highway / Travel	GGS-2VWK	Turkey Club Sandwich	HWY\|GGS-2VWK	Current set	15	8	568	22	586	0.525	4.73333333333333	0.183333333333333	0.0372881355932203	0.005	4.61666666666667	4.85	0.0505415162454874	EatWell Foods	1	3	6.49	2.64	3.85	18.2233333333333	0	0.484	17.7393333333333	15	266.09
RUR	Rural North	GGS-2VWK	Turkey Club Sandwich	RUR\|GGS-2VWK	Current set	14	8	452	23	479	0.525	4.03571428571429	0.205357142857143	0.048421052631579	0.00535714285714286	3.94642857142857	4.125	0.0452488687782805	EatWell Foods	1	3	6.49	2.64	3.85	15.5375	0	0.542142857142857	14.9953571428571	14	209.935
MET	Metro Core	GGS-9PQL	Southwest Chicken Bowl	MET\|GGS-9PQL	Current set	18	8	650	46	696	2.875	4.51388888888889	0.319444444444444	0.0660919540229885	0.0228174603174603	4.375	4.65277777777778	0.0634920634920637	Urban Spoon	1.5	3	7.99	3.45	4.54	20.4930555555556	0	1.10208333333333	19.3909722222222	18	349.0375
COM	Commuter Suburban	GGS-9PQL	Southwest Chicken Bowl	COM\|GGS-9PQL	Current set	26	8	640	53	696	1.7	3.07692307692308	0.254807692307692	0.0764790764790765	0.00934065934065934	2.92307692307692	3.23076923076923	0.105263157894737	Urban Spoon	1.5	3	7.99	3.45	4.54	13.9692307692308	0	0.879086538461539	13.0901442307692	26	340.34375
CAM	Campus / Hospital	GGS-9PQL	Southwest Chicken Bowl	CAM\|GGS-9PQL	Current set	11	8	406	28	448	2.1	4.61363636363636	0.318181818181818	0.0645161290322581	0.0272727272727273	4.61363636363636	4.61363636363636	0	Urban Spoon	1.5	3	7.99	3.45	4.54	20.9459090909091	0	1.09772727272727	19.8481818181818	11	218.33
HWY	Highway / Travel	GGS-9PQL	Southwest Chicken Bowl	HWY\|GGS-9PQL	Current set	15	8	260	31	302	0.6125	2.16666666666667	0.258333333333333	0.106529209621993	0.00583333333333333	2.06666666666667	2.26666666666667	0.096774193548387	Urban Spoon	1.5	3	7.99	3.45	4.54	9.83666666666667	0	0.89125	8.94541666666667	15	134.18125
RUR	Rural North	GGS-9PQL	Southwest Chicken Bowl	RUR\|GGS-9PQL	Current set	14	8	155	37	202	0.7125	1.38392857142857	0.330357142857143	0.192708333333333	0.00727040816326531	1.33928571428571	1.42857142857143	0.0666666666666668	Urban Spoon	1.5	3	7.99	3.45	4.54	6.28303571428571	0	1.13973214285714	5.14330357142857	14	72.00625
MET	Metro Core	GGS-5MTC	Hummus Veggie Wrap	MET\|GGS-5MTC	Current set	18	8	282	24	309	1.1375	1.95833333333333	0.166666666666667	0.0784313725490196	0.00902777777777778	1.91666666666667	2	0.0434782608695653	GreenFork Kitchen	1	2	6.29	2.75	3.54	6.9325	0.3	0.320833333333333	6.61166666666667	18	119.01
COM	Commuter Suburban	GGS-5MTC	Hummus Veggie Wrap	COM\|GGS-5MTC	Current set	26	8	454	43	495	1.175	2.18269230769231	0.206730769230769	0.0865191146881288	0.00645604395604396	2.23076923076923	2.13461538461538	-0.0431034482758621	GreenFork Kitchen	1	2	6.29	2.75	3.54	7.72673076923077	0.3	0.397956730769231	7.32877403846154	26	190.548125
CAM	Campus / Hospital	GGS-5MTC	Hummus Veggie Wrap	CAM\|GGS-5MTC	Current set	11	8	273	21	290	0.475	3.10227272727273	0.238636363636364	0.0714285714285714	0.00616883116883117	3.06818181818182	3.13636363636364	0.0222222222222223	GreenFork Kitchen	1	2	6.29	2.75	3.54	10.9820454545455	0.3	0.459375	10.5226704545455	11	115.749375
HWY	Highway / Travel	GGS-5MTC	Hummus Veggie Wrap	HWY\|GGS-5MTC	Current set	15	8	196	36	239	0.575	1.63333333333333	0.3	0.155172413793103	0.00547619047619048	1.66666666666667	1.6	-0.04	GreenFork Kitchen	1	2	6.29	2.75	3.54	5.782	0	0.825	4.957	15	74.355
RUR	Rural North	GGS-5MTC	Hummus Veggie Wrap	RUR\|GGS-5MTC	Current set	14	8	172	38	213	0.625	1.53571428571429	0.339285714285714	0.180952380952381	0.00637755102040816	1.53571428571429	1.53571428571429	0	GreenFork Kitchen	1	2	6.29	2.75	3.54	5.43642857142857	0	0.933035714285714	4.50339285714286	14	63.0475
MET	Metro Core	GGS-7DNL	Cobb Salad	MET\|GGS-7DNL	Current set	18	8	435	35	478	0.8625	3.02083333333333	0.243055555555556	0.074468085106383	0.0068452380952381	3.02777777777778	3.01388888888889	-0.00458715596330274	FreshPack Deli	1.5	3	8.49	3.72	4.77	14.409375	0	0.904166666666667	13.5052083333333	18	243.09375
COM	Commuter Suburban	GGS-7DNL	Cobb Salad	COM\|GGS-7DNL	Current set	26	8	601	59	665	1.2875	2.88942307692308	0.283653846153846	0.0893939393939394	0.00707417582417583	2.99038461538462	2.78846153846154	-0.0675241157556271	FreshPack Deli	1.5	3	8.49	3.72	4.77	13.7825480769231	0	1.05519230769231	12.7273557692308	26	330.91125
CAM	Campus / Hospital	GGS-7DNL	Cobb Salad	CAM\|GGS-7DNL	Current set	11	8	211	21	230	0.5375	2.39772727272727	0.238636363636364	0.0905172413793104	0.00698051948051948	2.52272727272727	2.27272727272727	-0.0990990990990993	FreshPack Deli	1.5	3	8.49	3.72	4.77	11.4371590909091	0	0.887727272727273	10.5494318181818	11	116.04375
HWY	Highway / Travel	GGS-7DNL	Cobb Salad	HWY\|GGS-7DNL	Current set	15	8	131	29	165	0.725	1.09166666666667	0.241666666666667	0.18125	0.00690476190476191	1.13333333333333	1.05	-0.0735294117647058	FreshPack Deli	1.5	3	8.49	3.72	4.77	5.20725	0	0.899	4.30825	15	64.62375
RUR	Rural North	GGS-7DNL	Cobb Salad	RUR\|GGS-7DNL	Current set	14	8	80	24	99	0.875	0.714285714285714	0.214285714285714	0.230769230769231	0.00892857142857143	0.696428571428571	0.732142857142857	0.0512820512820514	FreshPack Deli	1.5	3	8.49	3.72	4.77	3.40714285714286	0	0.797142857142857	2.61	14	36.54
MET	Metro Core	GGS-1KFV	Egg Salad Croissant	MET\|GGS-1KFV	Current set	18	8	186	49	235	1.05	1.29166666666667	0.340277777777778	0.208510638297872	0.00833333333333333	1.29166666666667	1.29166666666667	0	FreshPack Deli	1	2	5.49	2.28	3.21	4.14625	0	0.775833333333333	3.37041666666667	18	60.6675
COM	Commuter Suburban	GGS-1KFV	Egg Salad Croissant	COM\|GGS-1KFV	Current set	26	8	246	62	320	1.275	1.18269230769231	0.298076923076923	0.201298701298701	0.00700549450549451	1.21153846153846	1.15384615384615	-0.0476190476190478	FreshPack Deli	1	2	5.49	2.28	3.21	3.79644230769231	0	0.679615384615385	3.11682692307692	26	81.0375
CAM	Campus / Hospital	GGS-1KFV	Egg Salad Croissant	CAM\|GGS-1KFV	Current set	11	8	138	32	170	0.575	1.56818181818182	0.363636363636364	0.188235294117647	0.00746753246753247	1.59090909090909	1.54545454545455	-0.0285714285714285	FreshPack Deli	1	2	5.49	2.28	3.21	5.03386363636364	0	0.829090909090909	4.20477272727273	11	46.2525
HWY	Highway / Travel	GGS-1KFV	Egg Salad Croissant	HWY\|GGS-1KFV	Current set	15	8	95	26	131	0.7	0.791666666666667	0.216666666666667	0.214876033057851	0.00666666666666667	0.766666666666667	0.816666666666667	0.0652173913043479	FreshPack Deli	1	2	5.49	2.28	3.21	2.54125	0	0.494	2.04725	15	30.70875
RUR	Rural North	GGS-1KFV	Egg Salad Croissant	RUR\|GGS-1KFV	Current set	14	8	81	26	111	0.625	0.723214285714286	0.232142857142857	0.242990654205607	0.00637755102040816	0.732142857142857	0.714285714285714	-0.0243902439024391	FreshPack Deli	1	2	5.49	2.28	3.21	2.32151785714286	0	0.529285714285714	1.79223214285714	14	25.09125
MET	Metro Core	GGS-4HBP	Turkey Cranberry Sandwich	MET\|GGS-4HBP	Current set	18	8	115	33	160	0.8625	0.798611111111111	0.229166666666667	0.222972972972973	0.0068452380952381	0.819444444444444	0.777777777777778	-0.0508474576271186	EatWell Foods	1	3	6.59	2.95	3.64	2.90694444444444	0	0.676041666666667	2.23090277777778	18	40.15625
COM	Commuter Suburban	GGS-4HBP	Turkey Cranberry Sandwich	COM\|GGS-4HBP	Current set	26	8	204	54	265	1.2125	0.980769230769231	0.259615384615385	0.209302325581395	0.00666208791208791	1	0.961538461538462	-0.0384615384615386	EatWell Foods	1	3	6.59	2.95	3.64	3.57	0	0.765865384615385	2.80413461538461	26	72.9075
CAM	Campus / Hospital	GGS-4HBP	Turkey Cranberry Sandwich	CAM\|GGS-4HBP	Current set	11	8	61	18	82	0.6	0.693181818181818	0.204545454545455	0.227848101265823	0.00779220779220779	0.727272727272727	0.659090909090909	-0.0937500000000001	EatWell Foods	1	3	6.59	2.95	3.64	2.52318181818182	0	0.603409090909091	1.91977272727273	11	21.1175
HWY	Highway / Travel	GGS-4HBP	Turkey Cranberry Sandwich	HWY\|GGS-4HBP	Current set	15	8	135	39	178	0.6875	1.125	0.325	0.224137931034483	0.00654761904761905	1.2	1.05	-0.125	EatWell Foods	1	3	6.59	2.95	3.64	4.095	0	0.95875	3.13625	15	47.04375
RUR	Rural North	GGS-4HBP	Turkey Cranberry Sandwich	RUR\|GGS-4HBP	Current set	14	8	93	26	117	0.7	0.830357142857143	0.232142857142857	0.218487394957983	0.00714285714285714	0.875	0.785714285714286	-0.102040816326531	EatWell Foods	1	3	6.59	2.95	3.64	3.0225	0	0.684821428571429	2.33767857142857	14	32.7275
MET	Metro Core	GGS-3RZA	Caprese Ciabatta	MET\|GGS-3RZA	Controlled pilot	9	8	228	21	256	0.475	3.16666666666667	0.291666666666667	0.0843373493975904	0.00753968253968254	3.13888888888889	3.19444444444444	0.0176991150442479	GreenFork Kitchen	1	2	6.99	3.1	3.89	12.3183333333333	0.3	0.632916666666667	11.6854166666667	18	210.3375
COM	Commuter Suburban	GGS-3RZA	Caprese Ciabatta	COM\|GGS-3RZA	Controlled pilot	8	8	117	23	142	0.4125	1.828125	0.359375	0.164285714285714	0.00736607142857143	1.84375	1.8125	-0.0169491525423729	GreenFork Kitchen	1	2	6.99	3.1	3.89	7.11140625	0.3	0.77984375	6.3315625	26	164.620625
CAM	Campus / Hospital	GGS-3RZA	Caprese Ciabatta	CAM\|GGS-3RZA	Controlled pilot	5	8	132	9	153	0.2125	3.3	0.225	0.0638297872340426	0.00607142857142857	3.35	3.25	-0.0298507462686567	GreenFork Kitchen	1	2	6.99	3.1	3.89	12.837	0.3	0.48825	12.34875	11	135.83625
MET	Metro Core	GGS-6BGH	Protein Snack Box	MET\|GGS-6BGH	Controlled pilot	9	8	298	8	321	2.525	4.13888888888889	0.111111111111111	0.0261437908496732	0.0400793650793651	4.19444444444445	4.08333333333333	-0.0264900662251657	Urban Spoon	1	5	6.79	2.94	3.85	15.9347222222222	0	0.326666666666667	15.6080555555556	18	280.945
COM	Commuter Suburban	GGS-6BGH	Protein Snack Box	COM\|GGS-6BGH	Controlled pilot	8	8	248	9	257	2.725	3.875	0.140625	0.0350194552529183	0.0486607142857143	3.6875	4.0625	0.101694915254237	Urban Spoon	1	5	6.79	2.94	3.85	14.91875	0	0.4134375	14.5053125	26	377.138125
CAM	Campus / Hospital	GGS-6BGH	Protein Snack Box	CAM\|GGS-6BGH	Controlled pilot	5	8	224	8	248	1.175	5.6	0.2	0.0344827586206897	0.0335714285714286	5.75	5.45	-0.0521739130434782	Urban Spoon	1	5	6.79	2.94	3.85	21.56	0	0.588	20.972	11	230.692
HWY	Highway / Travel	GGS-6BGH	Protein Snack Box	HWY\|GGS-6BGH	Controlled pilot	5	8	109	8	129	1.45	2.725	0.2	0.0683760683760684	0.0414285714285714	2.65	2.8	0.0566037735849056	Urban Spoon	1	5	6.79	2.94	3.85	10.49125	0	0.588	9.90325	15	148.54875
RUR	Rural North	GGS-6BGH	Protein Snack Box	RUR\|GGS-6BGH	Controlled pilot	4	8	59	5	67	1.05	1.84375	0.15625	0.078125	0.0375	1.8125	1.875	0.0344827586206897	Urban Spoon	1	5	6.79	2.94	3.85	7.0984375	0	0.459375	6.6390625	14	92.946875
MET	Metro Core	GGS-8XUY	Spicy Tuna Sushi Roll	MET\|GGS-8XUY	Controlled pilot	9	8	227	27	270	0.775	3.15277777777778	0.375	0.106299212598425	0.0123015873015873	3.05555555555556	3.25	0.0636363636363637	Sakura Express	1.5	1	9.99	4.3	5.69	17.9393055555556	0.5	0.80625	17.1330555555556	18	308.395
COM	Commuter Suburban	GGS-8XUY	Spicy Tuna Sushi Roll	COM\|GGS-8XUY	Controlled pilot	6	8	54	26	85	0.3	1.125	0.541666666666667	0.325	0.00714285714285714	1.125	1.125	0	Sakura Express	1.5	1	9.99	4.3	5.69	6.40125	0	2.32916666666667	4.07208333333333	26	105.874166666667
CAM	Campus / Hospital	GGS-8XUY	Spicy Tuna Sushi Roll	CAM\|GGS-8XUY	Controlled pilot	4	8	68	24	100	0.1875	2.125	0.75	0.260869565217391	0.00669642857142857	2.125	2.125	0	Sakura Express	1.5	1	9.99	4.3	5.69	12.09125	0	3.225	8.86625	11	97.52875

Proposal Reconciliation51 rows

cluster_code	cluster_name	sku	item	proposed_action	proposed_facings	final_action	final_facings	decision_status	rationale	key	tray_slots_per_facing	proposed_slots	final_slots	net_contribution_per_store_week	store_count	proposed_chainwide_weekly	final_chainwide_weekly	delta_weekly	units_per_store_week	final_chainwide_units	proposed_chainwide_units
MET	Metro Core	GGS-84QJ	Chicken Caesar Wrap	Keep	2	Keep	2	Accept	Core anchor, strong performance ($19.18 net contribution/store/wk); no change proposed, no issue found.	MET\|GGS-84QJ	1	2	2	19.1773611111111	18	345.1925	345.1925	0	5.5	99	99
MET	Metro Core	GGS-2VWK	Turkey Club Sandwich	Keep	1	Keep	1	Accept	Core anchor, strong performance ($11.57/store/wk); no issue found.	MET\|GGS-2VWK	1	1	1	11.5675694444444	18	208.21625	208.21625	0	3.09027777777778	55.625	55.625
MET	Metro Core	GGS-9PQL	Southwest Chicken Bowl	Keep	1	Keep	1	Accept	Core anchor, strong performance ($19.39/store/wk); no issue found.	MET\|GGS-9PQL	1.5	1.5	1.5	19.3909722222222	18	349.0375	349.0375	0	4.51388888888889	81.25	81.25
MET	Metro Core	GGS-5MTC	Hummus Veggie Wrap	Remove	0	Remove	0	Accept	Replaced by Caprese Ciabatta as cluster vegetarian anchor; Caprese outperforms Hummus here on velocity and $ contribution.	MET\|GGS-5MTC	1	0	0	6.61166666666667	18	0	0	0	1.95833333333333	0	0
MET	Metro Core	GGS-7DNL	Cobb Salad	Keep	1	Keep	1	Accept	Solid performer (7.4% shrink, $13.51/store/wk); no issue found.	MET\|GGS-7DNL	1.5	1.5	1.5	13.5052083333333	18	243.09375	243.09375	0	3.02083333333333	54.375	54.375
MET	Metro Core	GGS-1KFV	Egg Salad Croissant	Remove	0	Remove	0	Accept	Legacy SKU, 20.9% shrink, no vendor shrink credit; not needed since Caprese covers the vegetarian requirement.	MET\|GGS-1KFV	1	0	0	3.37041666666667	18	0	0	0	1.29166666666667	0	0
MET	Metro Core	GGS-4HBP	Turkey Cranberry Sandwich	Remove	0	Remove	0	Accept	Winter seasonal; handoff bars carrying seasonal filler into Q3; no signed billback after 1/31/26; declining trend (-5.1%).	MET\|GGS-4HBP	1	0	0	2.23090277777778	18	0	0	0	0.798611111111111	0	0
MET	Metro Core	GGS-3RZA	Caprese Ciabatta	Add	1	Add	1	Accept	GreenFork-signed cluster; pilot shows 3.17 u/store/wk, 8.4% shrink, $11.69/store/wk net contribution (with 30% credit) -- beats Hummus on every metric here.	MET\|GGS-3RZA	1	1	1	11.6854166666667	18	210.3375	210.3375	0	3.16666666666667	57	57
MET	Metro Core	GGS-6BGH	Protein Snack Box	Add	2	Add	2	Accept	Urban Spoon-signed chainwide; pilot shows 4.14 u/store/wk, 2.6% shrink (best-in-class), $15.61/store/wk net contribution.	MET\|GGS-6BGH	1	2	2	15.6080555555556	18	280.945	280.945	0	4.13888888888889	74.5	74.5
MET	Metro Core	GGS-8XUY	Spicy Tuna Sushi Roll	Add	2	Add	1	Change	Only Metro is signed for Sakuras daily route + 50% waste credit, and letter specifies "route M-11" stores, not confirmed as all 18 Metro stores. Case is at 12.0/12.0 slots (zero slack) at the proposed 2 facings. Launch at 1 facing to keep a capacity buffer and avoid over-committing shelf space to stores whose M-11 coverage is unconfirmed; expand after Space Planning confirms the M-11 store list and week 1-4 sell-through holds.	MET\|GGS-8XUY	1.5	3	1.5	17.1330555555556	18	308.395	308.395	0	3.15277777777778	56.75	56.75
COM	Commuter Suburban	GGS-84QJ	Chicken Caesar Wrap	Keep	1	Keep	1	Accept	Core anchor; no issue found.	COM\|GGS-84QJ	1	1	1	17.3090865384615	26	450.03625	450.03625	0	4.92788461538462	128.125	128.125
COM	Commuter Suburban	GGS-2VWK	Turkey Club Sandwich	Keep	2	Keep	2	Accept	Core anchor, best performer in set ($16.49/store/wk); no issue found.	COM\|GGS-2VWK	1	2	2	16.4910096153846	26	428.76625	428.76625	0	4.40865384615385	114.625	114.625
COM	Commuter Suburban	GGS-9PQL	Southwest Chicken Bowl	Keep	1	Keep	1	Accept	Core anchor; no issue found.	COM\|GGS-9PQL	1.5	1.5	1.5	13.0901442307692	26	340.34375	340.34375	0	3.07692307692308	80	80
COM	Commuter Suburban	GGS-5MTC	Hummus Veggie Wrap	Remove	0	Keep	1	Reject	Proposal removed this to make room for Caprese, but Commuter pilot data shows Hummus (2.18 u/store/wk, 8.7% shrink, $7.33/store/wk) outperforms the Caprese pilot here (1.83 u/store/wk, 16.4% shrink, $6.33/store/wk) on every metric. Handoff says use Caprese "selectively" and keep Hummus where Caprese is not a clean fit -- Commuter is that case.	COM\|GGS-5MTC	1	0	1	7.32877403846154	26	0	190.548125	190.548125	2.18269230769231	56.75	0
COM	Commuter Suburban	GGS-7DNL	Cobb Salad	Keep	1	Keep	1	Accept	Solid performer (8.9% shrink, $12.73/store/wk); no issue found.	COM\|GGS-7DNL	1.5	1.5	1.5	12.7273557692308	26	330.91125	330.91125	0	2.88942307692308	75.125	75.125
COM	Commuter Suburban	GGS-1KFV	Egg Salad Croissant	Remove	0	Remove	0	Accept	Legacy SKU, 20.1% shrink, no vendor shrink credit; Hummus already covers the vegetarian requirement.	COM\|GGS-1KFV	1	0	0	3.11682692307692	26	0	0	0	1.18269230769231	0	0
COM	Commuter Suburban	GGS-4HBP	Turkey Cranberry Sandwich	Remove	0	Remove	0	Accept	Winter seasonal; handoff bars seasonal filler in Q3; declining trend (-3.8%).	COM\|GGS-4HBP	1	0	0	2.80413461538461	26	0	0	0	0.980769230769231	0	0
COM	Commuter Suburban	GGS-3RZA	Caprese Ciabatta	Add	1	Do not add	0	Reject	Commuter pilot underperforms current Hummus on velocity, shrink, and $ contribution (see GGS-5MTC row). Retaining Hummus is the higher-margin, lower-shrink choice; also removes 1.5 tray slots that were driving this cluster over capacity.	COM\|GGS-3RZA	1	1	0	6.3315625	26	164.620625	0	-164.620625	1.828125	0	47.53125
COM	Commuter Suburban	GGS-6BGH	Protein Snack Box	Add	2	Add	2	Accept	Urban Spoon-signed chainwide; pilot shows 3.88 u/store/wk, 3.5% shrink, growing trend (+10.2%), $14.51/store/wk net contribution.	COM\|GGS-6BGH	1	2	2	14.5053125	26	377.138125	377.138125	0	3.875	100.75	100.75
COM	Commuter Suburban	GGS-8XUY	Spicy Tuna Sushi Roll	Add	1	Do not add	0	Reject	Sakura Express letter explicitly states Commuter pilot samples "were line-review tests and are not part of the signed launch commitment" -- no route, no credit, no scan allowance here. Commuters own pilot shrink was 32.5%, the worst in the entire assortment. Also required to bring the cluster from 10.5 back to 9.0 of 10.0 available tray slots.	COM\|GGS-8XUY	1.5	1.5	0	4.07208333333333	26	105.874166666667	0	-105.874166666667	1.125	0	29.25
CAM	Campus / Hospital	GGS-84QJ	Chicken Caesar Wrap	Keep	2	Keep	2	Accept	Core anchor, highest per-store velocity in the chain ($23.91/store/wk); no issue found.	CAM\|GGS-84QJ	1	2	2	23.9095454545455	11	263.005	263.005	0	6.79545454545455	74.75	74.75
CAM	Campus / Hospital	GGS-2VWK	Turkey Club Sandwich	Keep	1	Keep	1	Accept	Core anchor; no issue found.	CAM\|GGS-2VWK	1	1	1	12.8775	11	141.6525	141.6525	0	3.47727272727273	38.25	38.25
CAM	Campus / Hospital	GGS-9PQL	Southwest Chicken Bowl	Keep	1	Keep	1	Accept	Core anchor; no issue found.	CAM\|GGS-9PQL	1.5	1.5	1.5	19.8481818181818	11	218.33	218.33	0	4.61363636363636	50.75	50.75
CAM	Campus / Hospital	GGS-5MTC	Hummus Veggie Wrap	Remove	0	Remove	0	Accept	Replaced by Caprese as vegetarian anchor; Campus "meatless options over-index" per cluster notes and Caprese pilot here is the strongest of the three Caprese pilot clusters.	CAM\|GGS-5MTC	1	0	0	10.5226704545455	11	0	0	0	3.10227272727273	0	0
CAM	Campus / Hospital	GGS-7DNL	Cobb Salad	Keep	1	Keep	1	Accept	Solid performer (9.1% shrink, $10.55/store/wk); no issue found.	CAM\|GGS-7DNL	1.5	1.5	1.5	10.5494318181818	11	116.04375	116.04375	0	2.39772727272727	26.375	26.375
CAM	Campus / Hospital	GGS-1KFV	Egg Salad Croissant	Remove	0	Remove	0	Accept	Legacy SKU, no vendor shrink credit; Caprese covers the vegetarian requirement.	CAM\|GGS-1KFV	1	0	0	4.20477272727273	11	0	0	0	1.56818181818182	0	0
CAM	Campus / Hospital	GGS-4HBP	Turkey Cranberry Sandwich	Remove	0	Remove	0	Accept	Winter seasonal; steepest decline in the chain (-9.4%); handoff bars seasonal filler in Q3.	CAM\|GGS-4HBP	1	0	0	1.91977272727273	11	0	0	0	0.693181818181818	0	0
CAM	Campus / Hospital	GGS-3RZA	Caprese Ciabatta	Add	1	Add	1	Accept	GreenFork-signed cluster; best-performing Caprese pilot in the chain (3.30 u/store/wk, 6.4% shrink, $12.35/store/wk net contribution); fits "meatless over-indexes" mission.	CAM\|GGS-3RZA	1	1	1	12.34875	11	135.83625	135.83625	0	3.3	36.3	36.3
CAM	Campus / Hospital	GGS-6BGH	Protein Snack Box	Add	2	Add	2	Accept	Urban Spoon-signed chainwide; best PSB pilot performance in the chain (5.60 u/store/wk, 3.4% shrink, $20.97/store/wk -- highest net contribution of any item/cluster in the review).	CAM\|GGS-6BGH	1	2	2	20.972	11	230.692	230.692	0	5.6	61.6	61.6
CAM	Campus / Hospital	GGS-8XUY	Spicy Tuna Sushi Roll	Add	1	Do not add	0	Reject	Sakura Express letter explicitly excludes Campus pilot samples from the signed launch commitment -- no route, no credit. Campus pilot shrink was 26.1%, second-worst in the assortment. Also required to bring the cluster back to 9.0 of 10.0 available tray slots.	CAM\|GGS-8XUY	1.5	1.5	0	8.86625	11	97.52875	0	-97.52875	2.125	0	23.375
HWY	Highway / Travel	GGS-84QJ	Chicken Caesar Wrap	Keep	1	Keep	1	Accept	Core anchor; no issue found.	HWY\|GGS-84QJ	1	1	1	16.4219166666667	15	246.32875	246.32875	0	4.70833333333333	70.625	70.625
HWY	Highway / Travel	GGS-2VWK	Turkey Club Sandwich	Keep	2	Keep	2	Accept	Core anchor, strong performer ($17.74/store/wk); "travel purchase pattern favors familiar sandwiches" per cluster notes.	HWY\|GGS-2VWK	1	2	2	17.7393333333333	15	266.09	266.09	0	4.73333333333333	71	71
HWY	Highway / Travel	GGS-9PQL	Southwest Chicken Bowl	Keep	1	Keep	1	Accept	Core anchor; no issue found.	HWY\|GGS-9PQL	1.5	1.5	1.5	8.94541666666667	15	134.18125	134.18125	0	2.16666666666667	32.5	32.5
HWY	Highway / Travel	GGS-5MTC	Hummus Veggie Wrap	Remove	0	Keep	1	Reject	Proposal removed this "to make room for Caprese," but Caprese is contractually blocked in Highway/Travel (GreenFork letter: route not approved) and no Caprese pilot ever ran here. Hummus must stay as the clusters only credible vegetarian option; loses the 30% shrink credit below 4 delivery-days/wk but still nets a positive $4.96/store/wk.	HWY\|GGS-5MTC	1	0	1	4.957	15	0	74.355	74.355	1.63333333333333	24.5	0
HWY	Highway / Travel	GGS-7DNL	Cobb Salad	Remove	0	Remove	0	Accept	Weak performer here (1.09 u/store/wk, 18.1% shrink, $4.31/store/wk vs $10.5-13.5 in the other clusters); consistent with "fewer, cleaner choices" guidance for this cluster.	HWY\|GGS-7DNL	1.5	0	0	4.30825	15	0	0	0	1.09166666666667	0	0
HWY	Highway / Travel	GGS-1KFV	Egg Salad Croissant	Remove	0	Remove	0	Accept	Legacy SKU; not needed since Hummus covers the vegetarian requirement.	HWY\|GGS-1KFV	1	0	0	2.04725	15	0	0	0	0.791666666666667	0	0
HWY	Highway / Travel	GGS-4HBP	Turkey Cranberry Sandwich	Keep	1	Remove	0	Reject	Proposal kept this "if space allows" on store-advocate request, but handoff explicitly bars keeping winter seasonal sandwiches to fill space, EatWell letter authorizes no returns/billbacks after 1/31/26, shrink is 22.4%, and the trend is the steepest decline in the entire dataset (-12.5%). No demand basis or contract support survives.	HWY\|GGS-4HBP	1	1	0	3.13625	15	47.04375	0	-47.04375	1.125	0	16.875
HWY	Highway / Travel	GGS-3RZA	Caprese Ciabatta	Add	1	Do not add	0	Reject	GreenFork letter explicitly states "Highway/Travel...are not approved for Caprese route expansion under this letter"; no pilot was ever run here (no internal demand signal exists). Buyer comment relied on aspiration, not signed terms or data.	HWY\|GGS-3RZA	1	1	0	0	15	0	0	0	0	0	0
HWY	Highway / Travel	GGS-6BGH	Protein Snack Box	Add	2	Add	2	Accept	Urban Spoon-signed chainwide; pilot shows 2.73 u/store/wk, 6.8% shrink, growing trend (+5.7%), $9.90/store/wk net contribution.	HWY\|GGS-6BGH	1	2	2	9.90325	15	148.54875	148.54875	0	2.725	40.875	40.875
HWY	Highway / Travel	GGS-8XUY	Spicy Tuna Sushi Roll	Do not add	0	Do not add	0	Accept	Buyer proposal already correctly excludes Highway -- consistent with Sakura letter (Metro-only route/credit) and the fact no pilot ran here.	HWY\|GGS-8XUY	1.5	0	0	0	15	0	0	0	0	0	0
RUR	Rural North	GGS-84QJ	Chicken Caesar Wrap	Keep	1	Keep	1	Accept	Core anchor; no issue found.	RUR\|GGS-84QJ	1	1	1	12.823125	14	179.52375	179.52375	0	3.6875	51.625	51.625
RUR	Rural North	GGS-2VWK	Turkey Club Sandwich	Keep	2	Keep	2	Accept	Core anchor, strongest performer in cluster ($14.99/store/wk); no issue found.	RUR\|GGS-2VWK	1	2	2	14.9953571428571	14	209.935	209.935	0	4.03571428571429	56.5	56.5
RUR	Rural North	GGS-9PQL	Southwest Chicken Bowl	Keep	1	Keep	1	Accept	Core anchor; no issue found.	RUR\|GGS-9PQL	1.5	1.5	1.5	5.14330357142857	14	72.00625	72.00625	0	1.38392857142857	19.375	19.375
RUR	Rural North	GGS-5MTC	Hummus Veggie Wrap	Remove	0	Keep	1	Reject	Proposal removed this, which (combined with Egg Salad as the only remaining meatless item) would leave Rural North with no credible vegetarian option -- handoff explicitly bars Egg Salad Croissant from being the sole vegetarian answer. Hummus nets a positive $4.50/store/wk even without the GreenFork shrink credit (RUR delivery cadence is below the 4-day credit threshold).	RUR\|GGS-5MTC	1	0	1	4.50339285714286	14	0	63.0475	63.0475	1.53571428571429	21.5	0
RUR	Rural North	GGS-7DNL	Cobb Salad	Remove	0	Remove	0	Accept	Weakest performer of any cluster (0.71 u/store/wk, 23.1% shrink, $2.61/store/wk); "do not chase low-repeat novelty" per cluster notes.	RUR\|GGS-7DNL	1.5	0	0	2.61	14	0	0	0	0.714285714285714	0	0
RUR	Rural North	GGS-1KFV	Egg Salad Croissant	Keep	1	Remove	0	Reject	Proposal kept this on a rural-DM request, but it would then be the clusters only vegetarian option, which the handoff explicitly prohibits (low repeat + allergy handling complaints). Weakest net contribution of any cluster for this SKU ($1.79/store/wk). Replaced by Hummus.	RUR\|GGS-1KFV	1	1	0	1.79223214285714	14	25.09125	0	-25.09125	0.723214285714286	0	10.125
RUR	Rural North	GGS-4HBP	Turkey Cranberry Sandwich	Remove	0	Remove	0	Accept	Winter seasonal, handoff bars seasonal filler; declining trend (-10.2%).	RUR\|GGS-4HBP	1	0	0	2.33767857142857	14	0	0	0	0.830357142857143	0	0
RUR	Rural North	GGS-3RZA	Caprese Ciabatta	Do not add	0	Do not add	0	Accept	Buyer proposal already correctly excludes Rural -- consistent with GreenFork route limits, a 2-day code item against only 2 deliveries/week, and no pilot data.	RUR\|GGS-3RZA	1	0	0	0	14	0	0	0	0	0	0
RUR	Rural North	GGS-6BGH	Protein Snack Box	Add	2	Add	1	Change	Lowest per-store pilot velocity of any cluster (1.84 u/store/wk vs 2.7-5.6 elsewhere) though still net-positive and growing (+3.4%). One facing is enough for the demonstrated volume, and the cut is required to close the 0.5-slot capacity overflow (7.5 of 7.0 slots at 2 facings) -- consistent with "fewer, cleaner choices, empty capacity over low-repeat/over-order risk" guidance for Rural.	RUR\|GGS-6BGH	1	2	1	6.6390625	14	92.946875	92.946875	0	1.84375	25.8125	25.8125
RUR	Rural North	GGS-8XUY	Spicy Tuna Sushi Roll	Do not add	0	Do not add	0	Accept	Buyer proposal already correctly excludes Rural -- consistent with Sakura letter (Metro-only) and a 1-day code item against only 2 deliveries/week; no pilot data exists.	RUR\|GGS-8XUY	1.5	0	0	0	14	0	0	0	0	0	0
								Chainwide total:								6767.69179166667	6655.483875	-112.207916666667

Cluster Final Assortment34 rows

cluster_code	cluster_name	sku	item	role	diet_flag	final_facings	tray_slots_per_facing	tray_slots_used	net_contribution_per_store_week	store_count	chainwide_weekly_contribution	note
MET	Metro Core	GGS-84QJ	Chicken Caesar Wrap	Core wrap	Meat	2	1	2	19.1773611111111	18	345.1925	Core anchor
MET	Metro Core	GGS-2VWK	Turkey Club Sandwich	Core sandwich	Meat	1	1	1	11.5675694444444	18	208.21625	Core anchor
MET	Metro Core	GGS-9PQL	Southwest Chicken Bowl	Bowl meal	Meat	1	1.5	1.5	19.3909722222222	18	349.0375	Core anchor
MET	Metro Core	GGS-7DNL	Cobb Salad	Salad meal	Meat	1	1.5	1.5	13.5052083333333	18	243.09375	Current -- unchanged
MET	Metro Core	GGS-3RZA	Caprese Ciabatta	Vegetarian lunch	Vegetarian	1	1	1	11.6854166666667	18	210.3375	NEW -- vegetarian anchor (replaces Hummus)
MET	Metro Core	GGS-6BGH	Protein Snack Box	Protein snack / light meal	Mixed protein	2	1	2	15.6080555555556	18	280.945	NEW
MET	Metro Core	GGS-8XUY	Spicy Tuna Sushi Roll	Sushi / novelty lunch	Fish	1	1.5	1.5	17.1330555555556	18	308.395	NEW -- phased at 1 facing, see risk notes
280		10.5							1945.2175			of 12 slots available -- 1.5 slot(s) slack
COM	Commuter Suburban	GGS-84QJ	Chicken Caesar Wrap	Core wrap	Meat	1	1	1	17.3090865384615	26	450.03625	Core anchor
COM	Commuter Suburban	GGS-2VWK	Turkey Club Sandwich	Core sandwich	Meat	2	1	2	16.4910096153846	26	428.76625	Core anchor
COM	Commuter Suburban	GGS-9PQL	Southwest Chicken Bowl	Bowl meal	Meat	1	1.5	1.5	13.0901442307692	26	340.34375	Core anchor
COM	Commuter Suburban	GGS-7DNL	Cobb Salad	Salad meal	Meat	1	1.5	1.5	12.7273557692308	26	330.91125	Current -- unchanged
COM	Commuter Suburban	GGS-5MTC	Hummus Veggie Wrap	Vegetarian lunch	Vegetarian	1	1	1	7.32877403846154	26	190.548125	RETAINED -- vegetarian anchor (proposal removal rejected)
COM	Commuter Suburban	GGS-6BGH	Protein Snack Box	Protein snack / light meal	Mixed protein	2	1	2	14.5053125	26	377.138125	NEW
282		9							2117.74375			of 10 slots available -- 1 slot(s) slack
CAM	Campus / Hospital	GGS-84QJ	Chicken Caesar Wrap	Core wrap	Meat	2	1	2	23.9095454545455	11	263.005	Core anchor
CAM	Campus / Hospital	GGS-2VWK	Turkey Club Sandwich	Core sandwich	Meat	1	1	1	12.8775	11	141.6525	Core anchor
CAM	Campus / Hospital	GGS-9PQL	Southwest Chicken Bowl	Bowl meal	Meat	1	1.5	1.5	19.8481818181818	11	218.33	Core anchor
CAM	Campus / Hospital	GGS-7DNL	Cobb Salad	Salad meal	Meat	1	1.5	1.5	10.5494318181818	11	116.04375	Current -- unchanged
CAM	Campus / Hospital	GGS-3RZA	Caprese Ciabatta	Vegetarian lunch	Vegetarian	1	1	1	12.34875	11	135.83625	NEW -- vegetarian anchor (replaces Hummus)
CAM	Campus / Hospital	GGS-6BGH	Protein Snack Box	Protein snack / light meal	Mixed protein	2	1	2	20.972	11	230.692	NEW
283		9							1105.5595			of 10 slots available -- 1 slot(s) slack
HWY	Highway / Travel	GGS-84QJ	Chicken Caesar Wrap	Core wrap	Meat	1	1	1	16.4219166666667	15	246.32875	Core anchor
HWY	Highway / Travel	GGS-2VWK	Turkey Club Sandwich	Core sandwich	Meat	2	1	2	17.7393333333333	15	266.09	Core anchor
HWY	Highway / Travel	GGS-9PQL	Southwest Chicken Bowl	Bowl meal	Meat	1	1.5	1.5	8.94541666666667	15	134.18125	Core anchor
HWY	Highway / Travel	GGS-5MTC	Hummus Veggie Wrap	Vegetarian lunch	Vegetarian	1	1	1	4.957	15	74.355	RETAINED -- vegetarian anchor (proposal removal rejected)
HWY	Highway / Travel	GGS-6BGH	Protein Snack Box	Protein snack / light meal	Mixed protein	2	1	2	9.90325	15	148.54875	NEW
284		7.5							869.50375			of 8 slots available -- 0.5 slot(s) slack
RUR	Rural North	GGS-84QJ	Chicken Caesar Wrap	Core wrap	Meat	1	1	1	12.823125	14	179.52375	Core anchor
RUR	Rural North	GGS-2VWK	Turkey Club Sandwich	Core sandwich	Meat	2	1	2	14.9953571428571	14	209.935	Core anchor
RUR	Rural North	GGS-9PQL	Southwest Chicken Bowl	Bowl meal	Meat	1	1.5	1.5	5.14330357142857	14	72.00625	Core anchor
RUR	Rural North	GGS-5MTC	Hummus Veggie Wrap	Vegetarian lunch	Vegetarian	1	1	1	4.50339285714286	14	63.0475	RETAINED -- vegetarian anchor, swapped in for Egg Salad Croissant
RUR	Rural North	GGS-6BGH	Protein Snack Box	Protein snack / light meal	Mixed protein	1	1	1	6.6390625	14	92.946875	NEW -- reduced to 1 facing
287		6.5							617.459375			of 7 slots available -- 0.5 slot(s) slack

User prompt → 190 turns · 102 tool calls → final responseclaude-code

133 of 190 turns are kept here; the rest were cut to fit the trajectory's byte budget, and each cut is marked where it fell.

1userYou are a category planning analyst at Blue Mesa Market, an 84-store convenience/grocery retailer. The prepared-foods me…
You are a category planning analyst at Blue Mesa Market, an 84-store convenience/grocery retailer. The prepared-foods merchant has asked you to review a July reset proposal for the refrigerated grab-and-go case before it is released to Space Planning and field operations. The proposal came out of vendor line reviews and includes several new items, but the case is capacity-constrained and the first four weeks of the reset must work with the delivery network that is already signed.

Using the attached materials, decide which proposed item and cluster changes should be accepted, changed, or rejected for the first four weeks of the reset. Your recommendation should protect lunch traffic and gross profit while reducing avoidable shrink and avoiding store-level execution problems. The senior merchant needs a practical decision, not a theory memo: identify the highest-risk parts of the proposal, state the revised cluster-level assortment, and show the supporting economics and capacity reconciliation.

Work only from the attached materials. Treat the merchant handoff as authoritative for business rules and trust hierarchy. Treat internal sales, waste, and inventory records as the demand signal; do not rely on supplier projections or proposal comments as proof of demand. Treat signed vendor offer letters as authoritative for credits, route eligibility, and launch support. Do not invent additional case capacity, delivery days, vendor credits, or substitute items that are not in the files. Where the proposal conflicts with the handoff, internal records, or signed terms, explain the conflict and resolve it using the more authoritative source.

Produce the following deliverables in /workspace/output/:
- grab_go_reset_memo.docx - a merchant-facing memo with the revised reset recommendation, the major proposal changes, business rationale, and execution risks.
- reset_decision_workbook.xlsx - a supporting workbook showing the cluster-level final decisions, item economics, pro
… 67 more characters in the raw trajectory.
3I'll start by locating the attached materials in the workspace.32k
I'll start by locating the attached materials in the workspace.
4Bash1
Tool execution only — no assistant text
Bashfind /workspace -maxdepth 4 -type d | sort (+description)
Arguments
List directories in workspace up to 4 levels deep
find /workspace -maxdepth 4 -type d | sort
Output
/workspace /workspace/data [stdout] /workspace /workspace/data [metadata] noOutputExpected: false

5Bash1

Tool execution only — no assistant text

Bashfind /workspace -maxdepth 4 -type f | sort (+description)

Arguments

List files in workspace up to 4 levels deep

find /workspace -maxdepth 4 -type f | sort

Output

/workspace/data/buyer_reset_proposal.csv
/workspace/data/item_master_unit_economics.csv
/workspace/data/merchant_handoff_prepared_foods.docx
/workspace/data/signed_vendor_offer_letters.pdf
/workspace/data/store_cluster_capacity.csv
/workspace/data/weekly_pos_inventory_waste.csv

[stdout]
/workspace/data/buyer_reset_proposal.csv
/workspace/data/item_master_unit_economics.csv
/workspace/data/merchant_handoff_prepared_foods.docx
/workspace/data/signed_vendor_offer_letters.pdf
/workspace/data/store_cluster_capacity.csv
/workspace/data/weekly_pos_inventory_waste.csv
[metadata]
noOutputExpected: false

7Read33k1

Tool execution only — no assistant text

Read/workspace/data/buyer_reset_proposal.csv12k chars

Arguments

/workspace/data/buyer_reset_proposal.csv

Output

1	proposal_date,cluster_code,cluster_name,sku,item,proposed_action,proposed_facings,buyer_comment,supplier_projection_units_per_store_week
2	2026-06-12,MET,Metro Core,GGS-84QJ,Chicken Caesar Wrap,Keep,2,,
3	2026-06-12,MET,Metro Core,GGS-2VWK,Turkey Club Sandwich,Keep,1,,
4	2026-06-12,MET,Metro Core,GGS-9PQL,Southwest Chicken Bowl,Keep,1,,
5	2026-06-12,MET,Metro Core,GGS-5MTC,Hummus Veggie Wrap,Remove,0,Buyer proposal removes this to make room for the Caprese launch.,
6	2026-06-12,MET,Metro Core,GGS-7DNL,Cobb Salad,Keep,1,,
7	2026-06-12,MET,Metro Core,GGS-1KFV,Egg Salad Croissant,Remove,0,Rural DM says some regulars still ask for it.,
8	2026-06-12,MET,Metro Core,GGS-4HBP,Turkey Cranberry Sandwich,Remove,0,Highway stores asked to keep one slot from winter if space allows.,
9	2026-06-12,MET,Metro Core,GGS-3RZA,Caprese Ciabatta,Add,1,Use as the vegetarian trade-up and remove Hummus where possible.,3.4
10	2026-06-12,MET,Metro Core,GGS-6BGH,Protein Snack Box,Add,2,Merchant liked long code da

… 10,511 more characters of output in the raw trajectory.

8Read1

Tool execution only — no assistant text

Read/workspace/data/store_cluster_capacity.csv2k chars

Arguments

/workspace/data/store_cluster_capacity.csv

Output

1	cluster_code,cluster_name,store_count,deliveries_per_week,tray_slots_available,extra_tray_project,notes
2	MET,Metro Core,18,5,12.0,Pending September lease-line change; not approved for July reset,Dense lunch traffic; daily prepared-food replenishment except Sunday.
3	COM,Commuter Suburban,26,4,10.0,No incremental tray capacity this reset,Office parks and commuter corridors; strongest weekday lunch.
4	CAM,Campus / Hospital,11,5,10.0,No incremental tray capacity this reset,Late lunch and evening snack missions; meatless options over-index.
5	HWY,Highway / Travel,15,3,8.0,No incremental tray capacity this reset,Fewer delivery touches; travel purchase pattern favors familiar sandwiches.
6	RUR,Rural North,14,2,7.0,No incremental tray capacity this reset,Long delivery gap and highest transfer cost; do not chase low-repeat novelty.
7

[metadata]
type: text
file:
  filePath: /workspace/data/store_cluster_capacity.csv
  content: cluster_code,cluster_name,store_count,deliveries_pe

… 833 more characters of output in the raw trajectory.

9Read1

Tool execution only — no assistant text

Read/workspace/data/item_master_unit_economics.csv3k chars

Arguments

/workspace/data/item_master_unit_economics.csv

Output

1	sku,item,status,vendor,role,diet_flag,shelf_life_days,case_pack,tray_slots_per_facing,retail_price,unit_cost,order_multiple_cases,first_available_date,current_core
2	GGS-84QJ,Chicken Caesar Wrap,Current,EatWell Foods,Core wrap,Meat,3,12,1.0,5.99,2.38,1,2024-03-18,Yes
3	GGS-2VWK,Turkey Club Sandwich,Current,EatWell Foods,Core sandwich,Meat,3,10,1.0,6.49,2.64,1,2023-08-07,Yes
4	GGS-9PQL,Southwest Chicken Bowl,Current,Urban Spoon,Bowl meal,Meat,3,8,1.5,7.99,3.45,1,2024-09-09,Yes
5	GGS-5MTC,Hummus Veggie Wrap,Current,GreenFork Kitchen,Vegetarian lunch,Vegetarian,2,8,1.0,6.29,2.75,1,2023-05-01,No
6	GGS-7DNL,Cobb Salad,Current,FreshPack Deli,Salad meal,Meat,3,6,1.5,8.49,3.72,1,2024-01-22,No
7	GGS-1KFV,Egg Salad Croissant,Current,FreshPack Deli,Legacy sandwich,Egg vegetarian,2,8,1.0,5.49,2.28,1,2022-06-13,No
8	GGS-4HBP,Turkey Cranberry Sandwich,Current seasonal,EatWell Foods,Winter seasonal,Meat,3,10,1.0,6.59,2.95,1,2025-10-27,No
9	GGS-3RZA,Caprese Ciabatta,Candidate,GreenFork Kitchen,Veget

… 1,763 more characters of output in the raw trajectory.

10Read1

Tool execution only — no assistant text

Read/workspace/data/weekly_pos_inventory_waste.csv68k chars

Arguments

/workspace/data/weekly_pos_inventory_waste.csv

Output

1	week_start,cluster_code,cluster_name,sku,item,range_type,stores_ranged,net_sales_units,waste_units,oos_store_days,receipts_units,ending_on_hand_units
2	2026-04-06,MET,Metro Core,GGS-84QJ,Chicken Caesar Wrap,Current set,18,99,5,5.2,102,26
3	2026-04-13,MET,Metro Core,GGS-84QJ,Chicken Caesar Wrap,Current set,18,98,5,5.3,107,30
4	2026-04-20,MET,Metro Core,GGS-84QJ,Chicken Caesar Wrap,Current set,18,97,5,6.7,105,33
5	2026-04-27,MET,Metro Core,GGS-84QJ,Chicken Caesar Wrap,Current set,18,108,5,3.0,113,33
6	2026-05-04,MET,Metro Core,GGS-84QJ,Chicken Caesar Wrap,Current set,18,88,5,2.4,93,33
7	2026-05-11,MET,Metro Core,GGS-84QJ,Chicken Caesar Wrap,Current set,18,92,5,5.2,99,35
8	2026-05-18,MET,Metro Core,GGS-84QJ,Chicken Caesar Wrap,Current set,18,96,5,4.7,103,37
9	2026-05-25,MET,Metro Core,GGS-84QJ,Chicken Caesar Wrap,Current set,18,114,6,3.5,123,40
10	2026-04-06,COM,Commuter Suburban,GGS-84QJ,Chicken Caesar Wrap,Current set,26,124,5,3.1,129,41
11	2026-04-13,COM,Commuter Suburban,GGS-84QJ,Ch

… 67,326 more characters of output in the raw trajectory.

11user{"type": "document", "source": {"type": "base64", "media_type": "application/pdf", "data": "JVBERi0xLjQKJZOMi54gUmVwb3J0…
{"type": "document", "source": {"type": "base64", "media_type": "application/pdf", "data": "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
… 4,491 more characters in the raw trajectory.

12Read1

Tool execution only — no assistant text

Read/workspace/data/signed_vendor_offer_letters.pdf7k chars

Arguments

/workspace/data/signed_vendor_offer_letters.pdf

Output

PDF file read: /workspace/data/signed_vendor_offer_letters.pdf (4.7KB)

[metadata]
type: pdf
file:
  filePath: /workspace/data/signed_vendor_offer_letters.pdf
  base64: 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

… 5,603 more characters of output in the raw trajectory.

13No text or tool call recorded64k
14user{"type": "text", "text": "Base directory for this skill: /logs/agent/sessions/skills/docx\n\n# DOCX creation, editing, a…
{"type": "text", "text": "Base directory for this skill: /logs/agent/sessions/skills/docx\n\n# DOCX creation, editing, and analysis\n\n## Overview\n\nA .docx file is a ZIP archive containing XML files.\n\n## Quick Reference\n\n| Task | Approach |\n|------|----------|\n| Read/analyze content | pandoc or unpack for raw XML |\n| Create new document | Use docx-js - see Creating New Documents below |\n| Edit existing document | Unpack → edit XML → repack - see Editing Existing Documents below |\n\n### Converting .doc to .docx\n\nLegacy .doc files must be converted before editing:\n\nbash\npython scripts/office/soffice.py --headless --convert-to docx document.doc\n\n\n### Reading Content\n\nbash\n# Text extraction with tracked changes\npandoc --track-changes=all document.docx -o output.md\n\n# Raw XML access\npython scripts/office/unpack.py document.docx unpacked/\n\n\n### Converting to Images\n\nbash\npython scripts/office/soffice.py --headless --convert-to pdf document.docx\npdftoppm -jpeg -r 150 document.pdf page\n\n\n### Accepting Tracked Changes\n\nTo produce a clean document with all tracked changes accepted (requires LibreOffice):\n\nbash\npython scripts/accept_changes.py input.docx output.docx\n\n\n---\n\n## Creating New Documents\n\nGenerate .docx files with JavaScript, then validate. Install: npm install -g docx\n\n### Setup\n```javascript\nconst { Document, Packer, Paragraph, TextRun, Table, TableRow, TableCell, ImageRun,\n Header, Footer, AlignmentType, PageOrientation, LevelFormat, ExternalHyperlink,\n InternalHyperlink, Bookmark, FootnoteReferenceRun, PositionalTab,\n PositionalTabAlignment, PositionalTabRelativeTo, PositionalTabLeader,\n TabStopType, TabStopPosition, Column, SectionType,\n TableOfContents, HeadingLevel, BorderStyle, WidthType, ShadingType,\n VerticalAlign, PageNumber, PageBreak } = require('docx');\n\nconst doc = new Document({ sections: [{ children: [/* content */] }
… 18,321 more characters in the raw trajectory.

15Skill1

Tool execution only — no assistant text

Skilldocx (+args)

Arguments

skill

docx

args

Read and extract the full text content (including all tables) from /workspace/data/merchant_handoff_prepared_foods.docx so I can use it as the authoritative business-rules source for a category planning decision.

Output

Launching skill: docx

[metadata]
success: true
commandName: docx

17Bash73k1
Tool execution only — no assistant text
Bashcd /workspace/data && pandoc --track-changes=all merchant_handoff_prepared_foods.docx -o /tmp/merchant_handoff.md && cat /tmp/merchant_handoff.md (+description)
Arguments
Convert merchant handoff docx to markdown for reading
cd /workspace/data && pandoc --track-changes=all merchant_handoff_prepared_foods.docx -o /tmp/merchant_handoff.md && cat /tmp/merchant_handoff.md
Output
Exit code 127 /bin/bash: line 1: pandoc: command not found [error] tool reported failure

19Bash73k1

Tool execution only — no assistant text

Bashfind / -iname "unpack.py" 2>/dev/null | grep -i office (+description)

Arguments

Locate the docx skill unpack.py script

find / -iname "unpack.py" 2>/dev/null | grep -i office

Output

/harbor/skills/xlsx/scripts/office/unpack.py
/harbor/skills/docx/scripts/office/unpack.py
/logs/agent/sessions/skills/docx/scripts/office/unpack.py
/logs/agent/sessions/skills/xlsx/scripts/office/unpack.py

[stdout]
/harbor/skills/xlsx/scripts/office/unpack.py
/harbor/skills/docx/scripts/office/unpack.py
/logs/agent/sessions/skills/docx/scripts/office/unpack.py
/logs/agent/sessions/skills/xlsx/scripts/office/unpack.py
[metadata]
noOutputExpected: false

20Bash74k1

Tool execution only — no assistant text

Bashcd /workspace/data && python3 /logs/agent/sessions/skills/docx/scripts/office/unpack.py merchant_handoff_prepared_foods.docx /tmp/handoff_unpacked/ && echo "---DOCUMENT.XML---" && cat /tmp/handoff_unpacked/word/document.xml (+description)26k chars

Arguments

Unpack merchant handoff docx and print document.xml

cd /workspace/data && python3 /logs/agent/sessions/skills/docx/scripts/office/unpack.py merchant_handoff_prepared_foods.docx /tmp/handoff_unpacked/ && echo "---DOCUMENT.XML---" && cat /tmp/handoff_unpacked/word/document.xml

Output

Unpacked merchant_handoff_prepared_foods.docx (16 XML files), simplified 0 tracked changes, merged 0 runs
---DOCUMENT.XML---
<?xml version="1.0" encoding="UTF-8"?><w:document xmlns:wpc="http://schemas.microsoft.com/office/word/2010/wordprocessingCanvas" xmlns:mo="http://schemas.microsoft.com/office/mac/office/2008/main" xmlns:mc="http://schemas.openxmlformats.org/markup-compatibility/2006" xmlns:mv="urn:schemas-microsoft-com:mac:vml" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:r="http://schemas.openxmlformats.org/officeDocument/2006/relationships" xmlns:m="http://schemas.openxmlformats.org/officeDocument/2006/math" xmlns:v="urn:schemas-microsoft-com:vml" xmlns:wp14="http://schemas.microsoft.com/office/word/2010/wordprocessingDrawing" xmlns:wp="http://schemas.openxmlformats.org/drawingml/2006/wordprocessingDrawing" xmlns:w10="urn:schemas-microsoft-com:office:word" xmlns:w="http://schemas.openxmlformats.org/wordprocessingml/2006/main" xmlns:w14="http://schemas.microsoft.com/o

… 24,584 more characters of output in the raw trajectory.

22Now I have all five source files. Before drafting recommendations, I need to crunch the internal sales/waste/economics d…100k
Now I have all five source files. Before drafting recommendations, I need to crunch the internal sales/waste/economics data precisely rather than eyeballing 368 rows. Let me run a quantitative analysis.
23Bash1
Tool execution only — no assistant text
Bashmkdir -p /workspace/output /tmp/analysis && python3 --version && python3 -c "import pandas" 2>&1 | tail -1 (+description)
Arguments
Check output dir and pandas availability
mkdir -p /workspace/output /tmp/analysis && python3 --version && python3 -c "import pandas" 2>&1 | tail -1
Output
Python 3.11.16 [stdout] Python 3.11.16 [metadata] noOutputExpected: false
25Bash101k1
Tool execution only — no assistant text
Bashpython3 -c "import pandas as pd; print('pandas', pd.__version__)" (+description)
Arguments
Confirm pandas is importable
python3 -c "import pandas as pd; print('pandas', pd.__version__)"
Output
pandas 2.3.3 [stdout] pandas 2.3.3 [metadata] noOutputExpected: false

27Write103k1

Tool execution only — no assistant text

Write/tmp/analysis/analyze.py (+content)5k chars

Arguments

file_path

/tmp/analysis/analyze.py

content

import pandas as pd

pd.set_option('display.width', 200)
pd.set_option('display.max_columns', 50)
pd.set_option('display.max_rows', 200)

DATA = "/workspace/data"

items = pd.read_csv(f"{DATA}/item_master_unit_economics.csv")
cap = pd.read_csv(f"{DATA}/store_cluster_capacity.csv")
prop = pd.read_csv(f"{DATA}/buyer_reset_proposal.csv")
waste = pd.read_csv(f"{DATA}/weekly_pos_inventory_waste.csv")

items['margin_per_unit'] = items['retail_price'] - items['unit_cost']

# ---- Aggregate weekly_pos_inventory_waste by cluste

… 3,704 more characters of arguments in the raw trajectory.

Output

File created successfully at: /tmp/analysis/analyze.py (file state is current in your context — no need to Read it back)

[metadata]
type: create
filePath: /tmp/analysis/analyze.py
content: |
  import pandas as pd
  
  pd.set_option('display.width', 200)
  pd.set_option('display.max_columns', 50)
  pd.set_option('display.max_rows', 200)
  
  DATA = "/workspace/data"
  
  items = pd.read_csv(f"{DATA}/item_master_unit_economics.csv")
  cap = pd.read_csv(f"{DATA}/store_cluster_capacity.csv")
  prop = pd.read_csv(f"{DATA}/buyer_reset_proposal.csv")
  waste = pd.read_csv(f"{DATA}/weekly_pos_inventory_waste.csv")
  
  items['margin_per_unit'] = items['retail_price'] - items['unit_cost']
  
  # ---- Aggregate weekly_pos_inventory_waste by cluster+sku ----
  g = waste.groupby(['cluster_code','cluster_name','sku','item'])
  agg = g.agg(
      weeks=('week_start','nunique'),
      stores_ranged=('stores_ranged','max'),
      stores_ranged_min=('stores_ranged','min'),
      total_net_sales=('net_s

… 3,525 more characters of output in the raw trajectory.

28Bash103k1

Tool execution only — no assistant text

Bashcd /tmp/analysis && python3 analyze.py (+description)32k chars

Arguments

Run the per-cluster item economics aggregation

cd /tmp/analysis && python3 analyze.py

Output

<persisted-output>
Output too large (55.5KB). Full output saved to: /logs/agent/sessions/projects/-workspace/8b1ae101-94ad-4905-b157-9bcdcfd2de51/tool-results/b1lcnsg5j.txt

Preview (first 2KB):
/tmp/analysis/analyze.py:44: FutureWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
  per_week = sub.groupby('week_start').apply(lambda x: x['net_sales_units'].sum()/x['stores_ranged'].max())
/tmp/analysis/analyze.py:44: FutureWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after grou

… 31,391 more characters of output in the raw trajectory.

30Read104k1

Tool execution only — no assistant text

Read/logs/agent/sessions/projects/-workspace/8b1ae101-94ad-4905-b157-9bcdcfd2de51/tool-results/b1lcnsg5j.txt115k chars

Arguments

/logs/agent/sessions/projects/-workspace/8b1ae101-94ad-4905-b157-9bcdcfd2de51/tool-results/b1lcnsg5j.txt

Output

1	/tmp/analysis/analyze.py:44: FutureWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
2	  per_week = sub.groupby('week_start').apply(lambda x: x['net_sales_units'].sum()/x['stores_ranged'].max())
3	/tmp/analysis/analyze.py:44: FutureWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
4	  per_week = sub.groupby('week_start').apply(lambda x: x['net_sales_units'].sum()/x['stores_ranged'].max())
5	/tmp/analysis/analyze.py:44: FutureWarning: Data

… 113,945 more characters of output in the raw trajectory.

32My analysis is converging on a clear finding: the buyer proposal, as submitted, overflows tray capacity in 4 of 5 cluste…154k
My analysis is converging on a clear finding: the buyer proposal, as submitted, overflows tray capacity in 4 of 5 clusters and has zero slack in the 5th — before any of the contract or demand-signal problems are even considered. Let me build the full reconciliation programmatically to keep the numbers precise and consistent across both deliverables.

33Write1

Tool execution only — no assistant text

Write/tmp/analysis/build_decision.py (+content)16k chars

Arguments

file_path

/tmp/analysis/build_decision.py

content

import pandas as pd

DATA = "/workspace/data"
items = pd.read_csv(f"{DATA}/item_master_unit_economics.csv").set_index('sku')
cap = pd.read_csv(f"{DATA}/store_cluster_capacity.csv").set_index('cluster_code')
prop = pd.read_csv(f"{DATA}/buyer_reset_proposal.csv")
agg = pd.read_csv('/tmp/analysis/agg_full.csv')
agg_idx = agg.set_index(['cluster_code','sku'])

clusters = ['MET','COM','CAM','HWY','RUR']
skus_order = ['GGS-84QJ','GGS-2VWK','GGS-9PQL','GGS-5MTC','GGS-7DNL','GGS-1KFV','GGS-4HBP','GGS-3RZA','GGS-6BGH','GGS-8XUY

… 15,391 more characters of arguments in the raw trajectory.

Output

File created successfully at: /tmp/analysis/build_decision.py (file state is current in your context — no need to Read it back)

[metadata]
type: create
filePath: /tmp/analysis/build_decision.py
content: |
  import pandas as pd
  
  DATA = "/workspace/data"
  items = pd.read_csv(f"{DATA}/item_master_unit_economics.csv").set_index('sku')
  cap = pd.read_csv(f"{DATA}/store_cluster_capacity.csv").set_index('cluster_code')
  prop = pd.read_csv(f"{DATA}/buyer_reset_proposal.csv")
  agg = pd.read_csv('/tmp/analysis/agg_full.csv')
  agg_idx = agg.set_index(['cluster_code','sku'])
  
  clusters = ['MET','COM','CAM','HWY','RUR']
  skus_order = ['GGS-84QJ','GGS-2VWK','GGS-9PQL','GGS-5MTC','GGS-7DNL','GGS-1KFV','GGS-4HBP','GGS-3RZA','GGS-6BGH','GGS-8XUY']
  
  # Final decision matrix: (cluster, sku) -> (final_action, final_facings, status, rationale)
  DECISIONS = {
   # MET
   ('MET','GGS-84QJ'): ('Keep',2,'Accept','Core anchor, strong performance ($19.18 net contribution/store/wk); no change

… 15,219 more characters of output in the raw trajectory.

34Bash154k1

Tool execution only — no assistant text

Bashcd /tmp/analysis && python3 build_decision.py 2>&1 | grep -v FutureWarning (+description)5k chars

Arguments

Build the final decision matrix, capacity check, and chainwide economics

cd /tmp/analysis && python3 build_decision.py 2>&1 | grep -v FutureWarning

Output

=== Decision status counts ===
decision_status
Accept    39
Reject     9
Change     2
Name: count, dtype: int64

=== Per-cluster status counts ===
decision_status  Accept  Change  Reject
cluster_code                           
MET                   9       1       0
COM                   7       0       3
CAM                   9       0       1
HWY                   7       0       3
RUR                   7       1       2

=== Capacity check ===
cluster_code      cluster_name  tray_slots_available  deliveries_per_week  store_count  proposed_slots_used  proposed_over_under  final_slots_used  final_over_under
         MET        Metro Core                  12.0                    5           18                 12.0                  0.0              10.5               1.5
         COM Commuter Suburban                  10.0                    4           26                 10.5                 -0.5               9.0               1.0
         CAM Campus / Hospital                  10.0

… 3,540 more characters of output in the raw trajectory.

36Let me build a clean bridge table showing exactly where the dollars move between the proposal and the recommendation, si…158k
Let me build a clean bridge table showing exactly where the dollars move between the proposal and the recommendation, since the small aggregate delta actually hides a bigger structural story (the proposal's number leans on uncontracted, thin-pilot volume).

37Bash1

Tool execution only — no assistant text

Bashcd /tmp/analysis && python3 -c " import pandas as pd recon = pd.read_csv('reconciliation.csv') agg = pd.read_csv('agg_full.csv').set_index(['cluster_code','sku']) cap = pd.read_csv('/workspace/data/store_cluster_capacity.csv').set_index('cluster_code') rows=[] for _,r in recon.iterrows(): key=(r['cluster_code'], r['sku']) stores = cap.loc[r['cluster_code'],'store_count'] per_store = agg.loc[key,'net_contribution_per_store_week'] if key in agg.index else 0 prop_val = per_store*stores if r['proposed_facings']>0 else 0 final_val = per_store*stores if3k chars

Arguments

cd /tmp/analysis && python3 -c "
import pandas as pd
recon = pd.read_csv('reconciliation.csv')
agg = pd.read_csv('agg_full.csv').set_index(['cluster_code','sku'])
cap = pd.read_csv('/workspace/data/store_cluster_capacity.csv').set_index('cluster_code')

rows=[]
for _,r in recon.iterrows():
    key=(r['cluster_code'], r['sku'])
    stores = cap.loc[r['cluster_code'],'store_count']
    per_store = agg.loc[key,'net_contribution_per_store_week'] if key in agg.index else 0
    prop_val = per_store*stores if r['proposed_facings']>0 else 0
    final_val = per_store*stores if

… 658 more characters of arguments in the raw trajectory.

Output

cluster_code      sku                      item proposed_action final_action status  proposed_weekly_contrib  final_weekly_contrib  delta
         COM GGS-3RZA          Caprese Ciabatta             Add   Do not add Reject                    165.0                   0.0 -165.0
         COM GGS-8XUY     Spicy Tuna Sushi Roll             Add   Do not add Reject                    106.0                   0.0 -106.0
         CAM GGS-8XUY     Spicy Tuna Sushi Roll             Add   Do not add Reject                     98.0                   0.0  -98.0
         HWY GGS-4HBP Turkey Cranberry Sandwich            Keep       Remove Reject                     47.0                   0.0  -47.0
         RUR GGS-1KFV       Egg Salad Croissant            Keep       Remove Reject                     25.0                   0.0  -25.0
         RUR GGS-5MTC        Hummus Veggie Wrap          Remove         Keep Reject                      0.0                  63.0   63.0
         HWY GGS-5MTC        Hummu

… 1,656 more characters of output in the raw trajectory.

39Now I have every number I need, precisely reconciled. Let me load the xlsx skill to build the workbook correctly.161k
Now I have every number I need, precisely reconciled. Let me load the xlsx skill to build the workbook correctly.

40Skill1

Tool execution only — no assistant text

Skillxlsx (+args)

Arguments

skill

xlsx

args

Create a new multi-tab Excel workbook from scratch (not editing an existing file) that presents a category-planning decision: cluster-level final assortment, item economics, a proposal-vs-final reconciliation table, and a tray-capacity check. Need guidance on the recommended workflow for building a new, well-formatted .xlsx with formulas, multiple sheets, and conditional formatting/color coding for status columns (Accept/Change/Reject).

Output

Launching skill: xlsx

[metadata]
success: true
commandName: xlsx

41user{"type": "text", "text": "Base directory for this skill: /logs/agent/sessions/skills/xlsx\n\n# Requirements for Outputs\…
{"type": "text", "text": "Base directory for this skill: /logs/agent/sessions/skills/xlsx\n\n# Requirements for Outputs\n\n## All Excel files\n\n### Professional Font\n- Use a consistent, professional font (e.g., Arial, Times New Roman) for all deliverables unless otherwise instructed by the user\n\n### Zero Formula Errors\n- Every Excel model MUST be delivered with ZERO formula errors (#REF!, #DIV/0!, #VALUE!, #N/A, #NAME?)\n\n### Preserve Existing Templates (when updating templates)\n- Study and EXACTLY match existing format, style, and conventions when modifying files\n- Never impose standardized formatting on files with established patterns\n- Existing template conventions ALWAYS override these guidelines\n\n## Financial models\n\n### Color Coding Standards\nUnless otherwise stated by the user or existing template\n\n#### Industry-Standard Color Conventions\n- Blue text (RGB: 0,0,255): Hardcoded inputs, and numbers users will change for scenarios\n- Black text (RGB: 0,0,0): ALL formulas and calculations\n- Green text (RGB: 0,128,0): Links pulling from other worksheets within same workbook\n- Red text (RGB: 255,0,0): External links to other files\n- Yellow background (RGB: 255,255,0): Key assumptions needing attention or cells that need to be updated\n\n### Number Formatting Standards\n\n#### Required Format Rules\n- Years: Format as text strings (e.g., "2024" not "2,024")\n- Currency: Use $#,##0 format; ALWAYS specify units in headers ("Revenue ($mm)")\n- Zeros: Use number formatting to make all zeros "-", including percentages (e.g., "$#,##0;($#,##0);-")\n- Percentages: Default to 0.0% format (one decimal)\n- Multiples: Format as 0.0x for valuation multiples (EV/EBITDA, P/E)\n- Negative numbers: Use parentheses (123) not minus -123\n\n### Formula Construction Rules\n\n#### Assumptions Placement\n- Place ALL assumptions (growth rates, margins, multiples, etc.) in separate assumption cells\n- Use cell referenc
… 8,849 more characters in the raw trajectory.

43Bash174k1

Tool execution only — no assistant text

Bashcd /tmp/analysis && python3 -c " import pandas as pd agg = pd.read_csv('agg_full.csv') print('Total rows:', len(agg)) print(agg.groupby('sku')['cluster_code'].apply(list)) print() recon = pd.read_csv('reconciliation.csv') print('Reconciliation rows:', len(recon)) "1k chars

Arguments

cd /tmp/analysis && python3 -c "
import pandas as pd
agg = pd.read_csv('agg_full.csv')
print('Total rows:', len(agg))
print(agg.groupby('sku')['cluster_code'].apply(list))
print()
recon = pd.read_csv('reconciliation.csv')
print('Reconciliation rows:', len(recon))
"

Output

Total rows: 46
sku
GGS-1KFV    [MET, COM, CAM, HWY, RUR]
GGS-2VWK    [MET, COM, CAM, HWY, RUR]
GGS-3RZA              [MET, COM, CAM]
GGS-4HBP    [MET, COM, CAM, HWY, RUR]
GGS-5MTC    [MET, COM, CAM, HWY, RUR]
GGS-6BGH    [MET, COM, CAM, HWY, RUR]
GGS-7DNL    [MET, COM, CAM, HWY, RUR]
GGS-84QJ    [MET, COM, CAM, HWY, RUR]
GGS-8XUY              [MET, COM, CAM]
GGS-9PQL    [MET, COM, CAM, HWY, RUR]
Name: cluster_code, dtype: object

Reconciliation rows: 50
Shell cwd was reset to /workspace

[stdout]
Total rows: 46
sku
GGS-1KFV    [MET, COM, CAM, HWY, RUR]
GGS-2VWK    [MET, COM, CAM, HWY, RUR]
GGS-3RZA              [MET, COM, CAM]
GGS-4HBP    [MET, COM, CAM, HWY, RUR]
GGS-5MTC    [MET, COM, CAM, HWY, RUR]
GGS-6BGH    [MET, COM, CAM, HWY, RUR]
GGS-7DNL    [MET, COM, CAM, HWY, RUR]
GGS-84QJ    [MET, COM, CAM, HWY, RUR]
GGS-8XUY              [MET, COM, CAM]
GGS-9PQL    [MET, COM, CAM, HWY, RUR]
Name: cluster_code, dtype: object

Reconciliation rows: 50
[stderr]

Shell cwd was reset to /worksp

… 42 more characters of output in the raw trajectory.

45Write192k1

Tool execution only — no assistant text

Write/tmp/analysis/build_workbook.py (+content)12k chars

Arguments

file_path

/tmp/analysis/build_workbook.py

content

import pandas as pd
from openpyxl import Workbook
from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
from openpyxl.utils import get_column_letter
from openpyxl.formatting.rule import CellIsRule
from openpyxl.worksheet.table import Table, TableStyleInfo

DATA = "/workspace/data"
OUT = "/workspace/output/reset_decision_workbook.xlsx"

FONT = "Arial"
BLUE = Font(name=FONT, color="0000FF", size=10)
BLACK = Font(name=FONT, color="000000", size=10)
GREEN = Font(name=FONT, color="008000", size=10)

… 11,190 more characters of arguments in the raw trajectory.

Output

File created successfully at: /tmp/analysis/build_workbook.py (file state is current in your context — no need to Read it back)

[metadata]
type: create
filePath: /tmp/analysis/build_workbook.py
content: |
  import pandas as pd
  from openpyxl import Workbook
  from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
  from openpyxl.utils import get_column_letter
  from openpyxl.formatting.rule import CellIsRule
  from openpyxl.worksheet.table import Table, TableStyleInfo
  
  DATA = "/workspace/data"
  OUT = "/workspace/output/reset_decision_workbook.xlsx"
  
  FONT = "Arial"
  BLUE = Font(name=FONT, color="0000FF", size=10)
  BLACK = Font(name=FONT, color="000000", size=10)
  GREEN = Font(name=FONT, color="008000", size=10)
  HDR_FONT = Font(name=FONT, color="FFFFFF", bold=True, size=10)
  HDR_FILL = PatternFill("solid", fgColor="1F4E78")
  TITLE_FONT = Font(name=FONT, bold=True, size=16, color="1F4E78")
  SUBTITLE_FONT = Font(name=FONT, italic=True, size=1

… 11,018 more characters of output in the raw trajectory.

47Bash192k1

Tool execution only — no assistant text

Bashcd /tmp/analysis && python3 build_workbook.py (+description)

Arguments

Run stage 1 of workbook build (Item Master, Vendor Terms, Capacity Check)

cd /tmp/analysis && python3 build_workbook.py

Output

Item Master rows: 10 | Capacity ref rows: 3 - 7 | Capacity check rows: 11 - 15
stage1 saved
Shell cwd was reset to /workspace

[stdout]
Item Master rows: 10 | Capacity ref rows: 3 - 7 | Capacity check rows: 11 - 15
stage1 saved
[stderr]

Shell cwd was reset to /workspace
[metadata]
noOutputExpected: false

49Edit196k1

Tool execution only — no assistant text

Edit/tmp/analysis/build_workbook.py (+replace_all, old_string, new_string)14k chars

Arguments

replace_all

false

file_path

/tmp/analysis/build_workbook.py

old_string

print("Item Master rows:", n_items, "| Capacity ref rows:", ref_first, "-", ref_last, "| Capacity check rows:", check_hdr_row+1,"-",total_row-1)
wb.save(OUT)
print("stage1 saved")

new_string

print("Item Master rows:", n_items, "| Capacity ref rows:", ref_first, "-", ref_last, "| Capacity check rows:", check_hdr_row+1,"-",total_row-1)

# ============================================================= WEEKLY RAW DATA
ws = wb.create_sheet("Weekly Raw Data")
ws.sheet_view.showGridLines

… 6,227 more characters of arguments in the raw trajectory.

Output

The file /tmp/analysis/build_workbook.py has been updated successfully. (file state is current in your context — no need to Read it back)

[metadata]
filePath: /tmp/analysis/build_workbook.py
oldString: |
  print("Item Master rows:", n_items, "| Capacity ref rows:", ref_first, "-", ref_last, "| Capacity check rows:", check_hdr_row+1,"-",total_row-1)
  wb.save(OUT)
  print("stage1 saved")
newString: |
  print("Item Master rows:", n_items, "| Capacity ref rows:", ref_first, "-", ref_last, "| Capacity check rows:", check_hdr_row+1,"-",total_row-1)
  
  # ============================================================= WEEKLY RAW DATA
  ws = wb.create_sheet("Weekly Raw Data")
  ws.sheet_view.showGridLines = False
  headers = ["week_start","cluster_code","cluster_name","sku","item","range_type","stores_ranged",
             "net_sales_units","waste_units","oos_store_days","receipts_units","ending_on_hand_units",
             "period","units_per_s

… 13,086 more characters of output in the raw trajectory.

50Bash196k1

Tool execution only — no assistant text

Bashcd /tmp/analysis && python3 build_workbook.py (+description)

Arguments

Run stage 2 of workbook build (Weekly Raw Data, Item Economics)

cd /tmp/analysis && python3 build_workbook.py

Output

Item Master rows: 10 | Capacity ref rows: 3 - 7 | Capacity check rows: 11 - 15
Item Economics rows: 46
stage2 saved
Shell cwd was reset to /workspace

[stdout]
Item Master rows: 10 | Capacity ref rows: 3 - 7 | Capacity check rows: 11 - 15
Item Economics rows: 46
stage2 saved
[stderr]

Shell cwd was reset to /workspace
[metadata]
noOutputExpected: false

52Edit200k1

Tool execution only — no assistant text

Edit/tmp/analysis/build_workbook.py (+replace_all, old_string, new_string)17k chars

Arguments

replace_all

false

file_path

/tmp/analysis/build_workbook.py

old_string

wb.save(OUT)
print("stage2 saved")

new_string

# ============================================================= PROPOSAL RECONCILIATION
ws = wb.create_sheet("Proposal Reconciliation")
ws.sheet_view.showGridLines = False
headers = ["cluster_code","cluster_name","sku","item","proposed_action","proposed_facings","final_action",
           "final_facings","decision_status","rationale","key","tray_slots_per_facing","proposed_slots",
           "final_slots","net_contribution_per

… 7,698 more characters of arguments in the raw trajectory.

Output

The file /tmp/analysis/build_workbook.py has been updated successfully. (file state is current in your context — no need to Read it back)

[metadata]
filePath: /tmp/analysis/build_workbook.py
oldString: |
  wb.save(OUT)
  print("stage2 saved")
newString: |
  # ============================================================= PROPOSAL RECONCILIATION
  ws = wb.create_sheet("Proposal Reconciliation")
  ws.sheet_view.showGridLines = False
  headers = ["cluster_code","cluster_name","sku","item","proposed_action","proposed_facings","final_action",
             "final_facings","decision_status","rationale","key","tray_slots_per_facing","proposed_slots",
             "final_slots","net_contribution_per_store_week","store_count","proposed_chainwide_weekly",
             "final_chainwide_weekly","delta_weekly"]
  write_row(ws, 1, headers)
  style_header(ws, 1, len(headers))
  recon_df = pd.read_csv('/tmp/analysis/reconciliation.csv')
  for i, r in recon_df.iterro

… 16,246 more characters of output in the raw trajectory.

53Bash201k1

Tool execution only — no assistant text

Bashcd /tmp/analysis && python3 build_workbook.py (+description)

Arguments

Run stage 3 of workbook build (Reconciliation, Cluster Final Assortment)

cd /tmp/analysis && python3 build_workbook.py

Output

Item Master rows: 10 | Capacity ref rows: 3 - 7 | Capacity check rows: 11 - 15
Item Economics rows: 46
Reconciliation rows: 50
Cluster Final Assortment built, rows: {'MET': (2, 8, 9), 'COM': (11, 16, 17), 'CAM': (19, 24, 25), 'HWY': (27, 31, 32), 'RUR': (34, 38, 39)}
stage3 saved
Shell cwd was reset to /workspace

[stdout]
Item Master rows: 10 | Capacity ref rows: 3 - 7 | Capacity check rows: 11 - 15
Item Economics rows: 46
Reconciliation rows: 50
Cluster Final Assortment built, rows: {'MET': (2, 8, 9), 'COM': (11, 16, 17), 'CAM': (19, 24, 25), 'HWY': (27, 31, 32), 'RUR': (34, 38, 39)}
stage3 saved
[stderr]

Shell cwd was reset to /workspace
[metadata]
noOutputExpected: false

55I need one more column set on the Reconciliation tab (units/week, not just $) to drive the launch-support cap checks on…203k
I need one more column set on the Reconciliation tab (units/week, not just $) to drive the launch-support cap checks on the Summary tab. Let me add those, then build the Summary sheet.

56Edit1

Tool execution only — no assistant text

Edit/tmp/analysis/build_workbook.py (+replace_all, old_string, new_string)2k chars

Arguments

replace_all

false

file_path

/tmp/analysis/build_workbook.py

old_string

headers = ["cluster_code","cluster_name","sku","item","proposed_action","proposed_facings","final_action",
           "final_facings","decision_status","rationale","key","tray_slots_per_facing","proposed_slots",
           "final_slots","net_contribution_per_store_week","store_count","proposed_chainwide_weekly",
           "final_chainwide_weekly","delta_weekly"]

new_string

headers = ["cluster_code","cluster_name","sku","item","proposed_action","proposed_faci

… 391 more characters of arguments in the raw trajectory.

Output

The file /tmp/analysis/build_workbook.py has been updated successfully. (file state is current in your context — no need to Read it back)

[metadata]
filePath: /tmp/analysis/build_workbook.py
oldString: |
  headers = ["cluster_code","cluster_name","sku","item","proposed_action","proposed_facings","final_action",
             "final_facings","decision_status","rationale","key","tray_slots_per_facing","proposed_slots",
             "final_slots","net_contribution_per_store_week","store_count","proposed_chainwide_weekly",
             "final_chainwide_weekly","delta_weekly"]
newString: |
  headers = ["cluster_code","cluster_name","sku","item","proposed_action","proposed_facings","final_action",
             "final_facings","decision_status","rationale","key","tray_slots_per_facing","proposed_slots",
             "final_slots","net_contribution_per_store_week","store_count","proposed_chainwide_weekly",
             "f

… 978 more characters of output in the raw trajectory.

57Edit204k1

Tool execution only — no assistant text

Edit/tmp/analysis/build_workbook.py (+replace_all, old_string)4k chars

Arguments

replace_all

false

file_path

/tmp/analysis/build_workbook.py

old_string

    ws.cell(row=row, column=19, value=f"=R{row}-Q{row}").font = BLACK
    for c, f in {12:NUM1,13:NUM1,14:NUM1,15:CUR2,16:NUM0,17:CUR0,18:CUR0,19:CUR0}.items():
        ws.cell(row=row, column=c).number_format = f
    for c in range(1, 20):
        ws.cell(row=row, column=c).border = BORDER
    ws.row_dimensions[row].height = 45
n_recon = len(recon_df)
total_recon_row = n_recon + 2
ws.cell(row=total_recon_row, column=9, value="Chainwide total:").font = BOLD
for col in (17,18,19):
    letter = get_col

… 1,459 more characters of arguments in the raw trajectory.

Output

The file /tmp/analysis/build_workbook.py has been updated successfully. (file state is current in your context — no need to Read it back)

[metadata]
filePath: /tmp/analysis/build_workbook.py
oldString: |
      ws.cell(row=row, column=19, value=f"=R{row}-Q{row}").font = BLACK
      for c, f in {12:NUM1,13:NUM1,14:NUM1,15:CUR2,16:NUM0,17:CUR0,18:CUR0,19:CUR0}.items():
          ws.cell(row=row, column=c).number_format = f
      for c in range(1, 20):
          ws.cell(row=row, column=c).border = BORDER
      ws.row_dimensions[row].height = 45
  n_recon = len(recon_df)
  total_recon_row = n_recon + 2
  ws.cell(row=total_recon_row, column=9, value="Chainwide total:").font = BOLD
  for col in (17,18,19):
      letter = get_column_letter(col)
      ws.cell(row=total_recon_row, column=col, value=f"=SUM({letter}2:{letter}{n_recon+1})").font = BOLD
      ws.cell(row=total_recon_row, column=col).number_format = CUR0
  autosize(ws, [12,20,10,24,15,10,13,10,15,55,16,13,13,13,15,12,15,15,13])

… 2,981 more characters of output in the raw trajectory.

59Edit211k1

Tool execution only — no assistant text

Edit/tmp/analysis/build_workbook.py (+replace_all, old_string, new_string)26k chars

Arguments

replace_all

false

file_path

/tmp/analysis/build_workbook.py

old_string

wb.save(OUT)
print("stage3 saved")

new_string

# ============================================================= SUMMARY
ws = wb.create_sheet("Summary")
ws.sheet_view.showGridLines = False
ws.cell(row=1, column=1, value="Prepared Foods Grab-and-Go Reset -- Decision Workbook").font = TITLE_FONT
ws.cell(row=2, column=1, value="Blue Mesa Market | Q3 2026 refrigerated grab-and-go case | First 4 weeks of July reset").font = SUBTITLE_FONT
ws.cell(row=3, column=1, value="Prepared for: L. Moreno, Senior Me

… 12,076 more characters of arguments in the raw trajectory.

Output

The file /tmp/analysis/build_workbook.py has been updated successfully. (file state is current in your context — no need to Read it back)

[metadata]
filePath: /tmp/analysis/build_workbook.py
oldString: |
  wb.save(OUT)
  print("stage3 saved")
newString: |
  # ============================================================= SUMMARY
  ws = wb.create_sheet("Summary")
  ws.sheet_view.showGridLines = False
  ws.cell(row=1, column=1, value="Prepared Foods Grab-and-Go Reset -- Decision Workbook").font = TITLE_FONT
  ws.cell(row=2, column=1, value="Blue Mesa Market | Q3 2026 refrigerated grab-and-go case | First 4 weeks of July reset").font = SUBTITLE_FONT
  ws.cell(row=3, column=1, value="Prepared for: L. Moreno, Senior Merchant - Prepared Foods  |  Prepared by: Category Planning").font = SUBTITLE_FONT
  
  r = 5
  ws.cell(row=r, column=1, value="HEADLINE FINDING").font = SECTION_FONT; r += 1
  ws.merge_cells(start_row=r, start_column=1, end_row=r+2, end_column=8)
  ws.cell(row=r, column

… 25,173 more characters of output in the raw trajectory.

60Bash211k1

Tool execution only — no assistant text

Bashcd /tmp/analysis && python3 build_workbook.py (+description)1k chars

Arguments

Run stage 4 of workbook build (Summary sheet) and finalize

cd /tmp/analysis && python3 build_workbook.py

Output

Item Master rows: 10 | Capacity ref rows: 3 - 7 | Capacity check rows: 11 - 15
Item Economics rows: 46
Reconciliation rows: 50
Cluster Final Assortment built, rows: {'MET': (2, 8, 9), 'COM': (11, 16, 17), 'CAM': (19, 24, 25), 'HWY': (27, 31, 32), 'RUR': (34, 38, 39)}
stage4 (Summary) saved. Sheet order: ['Summary', 'Item Master', 'Vendor Terms', 'Capacity Check', 'Weekly Raw Data', 'Item Economics', 'Proposal Reconciliation', 'Cluster Final Assortment']
Shell cwd was reset to /workspace

[stdout]
Item Master rows: 10 | Capacity ref rows: 3 - 7 | Capacity check rows: 11 - 15
Item Economics rows: 46
Reconciliation rows: 50
Cluster Final Assortment built, rows: {'MET': (2, 8, 9), 'COM': (11, 16, 17), 'CAM': (19, 24, 25), 'HWY': (27, 31, 32), 'RUR': (34, 38, 39)}
stage4 (Summary) saved. Sheet order: ['Summary', 'Item Master', 'Vendor Terms', 'Capacity Check', 'Weekly Raw Data', 'Item Economics', 'Proposal Reconciliation', 'Cluster Final Assortment']
[stderr]

Shell cwd was reset to /worksp

… 42 more characters of output in the raw trajectory.

61All 8 sheets built and sheet order is correct with Summary first. Now let's recalculate all formulas with LibreOffice an…211k
All 8 sheets built and sheet order is correct with Summary first. Now let's recalculate all formulas with LibreOffice and check for errors.

62Bash1

Tool execution only — no assistant text

Bashfind / -iname "recalc.py" 2>/dev/null | grep -i xlsx (+description)

Arguments

Locate the xlsx skill recalc.py script

find / -iname "recalc.py" 2>/dev/null | grep -i xlsx

Output

/harbor/skills/xlsx/scripts/recalc.py
/logs/agent/sessions/skills/xlsx/scripts/recalc.py

[stdout]
/harbor/skills/xlsx/scripts/recalc.py
/logs/agent/sessions/skills/xlsx/scripts/recalc.py
[metadata]
noOutputExpected: false

63Bash212k1

Tool execution only — no assistant text

Bashcd /workspace/output && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py reset_decision_workbook.xlsx 90 (+description)3k chars

Arguments

Recalculate all formulas in the workbook via LibreOffice

cd /workspace/output && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py reset_decision_workbook.xlsx 90

Output

status: errors_found
total_errors: 460
error_summary:
  #DIV/0!:
    count: 92
    locations:
      - Item Economics!Q2
      - Item Economics!S2
      - Item Economics!Q3
      - Item Economics!S3
      - Item Economics!Q4
      - Item Economics!S4
      - Item Economics!Q5
      - Item Economics!S5
      - Item Economics!Q6
      - Item Economics!S6
      - Item Economics!Q7
      - Item Economics!S7
      - Item Economics!Q8
      - Item Economics!S8
      - Item Economics!Q9
      - Item Economics!S9
      - Item Economics!Q10
      - Item Economics!S10
      - Item Economics!Q11
      - Item Economics!S11
  #NAME?:
    count: 368
    locations:
      - Item Economics!G2
      - Item Economics!M2
      - Item Economics!N2
      - Item Economics!P2
      - Item Economics!Z2
      - Item Economics!AB2
      - Item Economics!AC2
      - ""

… 1,882 more characters of output in the raw trajectory.

65The #NAME? errors are almost certainly from MAXIFS, which needs the _xlfn. prefix when written via openpyxl for older fu…217k
The #NAME? errors are almost certainly from MAXIFS, which needs the _xlfn. prefix when written via openpyxl for older function-name recognition. Let me confirm both issues before fixing.

66Bash1

Tool execution only — no assistant text

Bashpython3 -c " from openpyxl import load_workbook wb = load_workbook('reset_decision_workbook.xlsx', data_only=True) ws = wb['Weekly Raw Data'] print('A2 (week_start):', repr(ws['A2'].value), type(ws['A2'].value)) print('M2 (period):', repr(ws['M2'].value)) print('G2 (stores_ranged):', repr(ws['G2'].value)) print('N2 (units_per_store_this_week):', repr(ws['N2'].value)) ws2 = wb['Item Economics'] print('Item Economics Q2 (first4_avg):', repr(ws2['Q2'].value)) print('Item Economics R2 (last4_avg):', repr(ws2['R2'].value)) print('Item Economics G2 (stores_ranged via MAXIFS):1k chars

Arguments

python3 -c "
from openpyxl import load_workbook
wb = load_workbook('reset_decision_workbook.xlsx', data_only=True)
ws = wb['Weekly Raw Data']
print('A2 (week_start):', repr(ws['A2'].value), type(ws['A2'].value))
print('M2 (period):', repr(ws['M2'].value))
print('G2 (stores_ranged):', repr(ws['G2'].value))
print('N2 (units_per_store_this_week):', repr(ws['N2'].value))
ws2 = wb['Item Economics']
print('Item Economics Q2 (first4_avg):', repr(ws2['Q2'].value))
print('Item Economics R2 (last4_avg):', repr(ws2['R2'].value))
print('Item Economics G2 (stores_ranged via MAXIFS):

… 403 more characters of arguments in the raw trajectory.

Output

A2 (week_start): '2026-04-06' <class 'str'>
M2 (period): 'Last4'
G2 (stores_ranged): 18
N2 (units_per_store_this_week): 5.5
Item Economics Q2 (first4_avg): '#DIV/0!'
Item Economics R2 (last4_avg): 5.5
Item Economics G2 (stores_ranged via MAXIFS): '#NAME?'
Item Economics E2 (key): 'MET|GGS-84QJ'
Formula A2: '2026-04-06'
Formula M2: '=IF(A2<=DATE(2026,4,27),"First4","Last4")'
Formula G2: "=maxifs('Weekly Raw Data'!$G:$G,'Weekly Raw Data'!$O:$O,$E2)"
Formula Q2: '=AVERAGEIFS(\'Weekly Raw Data\'!$N:$N,\'Weekly Raw Data\'!$O:$O,$E2,\'Weekly Raw Data\'!$M:$M,"First4")'

[stdout]
A2 (week_start): '2026-04-06' <class 'str'>
M2 (period): 'Last4'
G2 (stores_ranged): 18
N2 (units_per_store_this_week): 5.5
Item Economics Q2 (first4_avg): '#DIV/0!'
Item Economics R2 (last4_avg): 5.5
Item Economics G2 (stores_ranged via MAXIFS): '#NAME?'
Item Economics E2 (key): 'MET|GGS-84QJ'
Formula A2: '2026-04-06'
Formula M2: '=IF(A2<=DATE(2026,4,27),"First4","Last4")'
Formula G2: "=maxifs('Weekly Raw Data'!$G:$

… 188 more characters of output in the raw trajectory.

68Bash219k1

Tool execution only — no assistant text

Arguments

Find all occurrences of newer Excel functions that need _xlfn prefix

cd /tmp/analysis && grep -n "MAXIFS\|MINIFS\|TEXTJOIN\|IFS(\|CONCAT(\|SWITCH(" build_workbook.py

Output

151:    ws.cell(row=row, column=4, value=(f"=SUMIFS('Proposal Reconciliation'!$M:$M,"
157:    ws.cell(row=row, column=7, value=(f"=SUMIFS('Proposal Reconciliation'!$N:$N,"
248:    ws.cell(row=row, column=7, value=(f"=MAXIFS({RAW}$G:$G,{RAW}$O:$O,{key})")).font = GREEN
249:    ws.cell(row=row, column=8, value=(f"=COUNTIFS({RAW}$O:$O,{key})")).font = GREEN
250:    ws.cell(row=row, column=9, value=(f"=SUMIFS({RAW}$H:$H,{RAW}$O:$O,{key})")).font = GREEN
251:    ws.cell(row=row, column=10, value=(f"=SUMIFS({RAW}$I:$I,{RAW}$O:$O,{key})")).font = GREEN
252:    ws.cell(row=row, column=11, value=(f"=SUMIFS({RAW}$K:$K,{RAW}$O:$O,{key})")).font = GREEN
253:    ws.cell(row=row, column=12, value=(f"=AVERAGEIFS({RAW}$J:$J,{RAW}$O:$O,{key})")).font = GREEN
258:    ws.cell(row=row, column=17, value=(f'=AVERAGEIFS({RAW}$N:$N,{RAW}$O:$O,{key},{RAW}$M:$M,"First4")')).font = GREEN
259:    ws.cell(row=row, column=18, value=(f'=AVERAGEIFS({RAW}$N:$N,{RAW}$O:$O,{key},{RAW}$M:$M,"Last4")')).font = GREEN
446:

… 2,856 more characters of output in the raw trajectory.

70Edit220k1

Tool execution only — no assistant text

Edit/tmp/analysis/build_workbook.py (+replace_all, old_string, new_string)1k chars

Arguments

replace_all

false

file_path

/tmp/analysis/build_workbook.py

old_string

    ws.cell(row=row, column=7, value=(f"=MAXIFS({RAW}$G:$G,{RAW}$O:$O,{key})")).font = GREEN

new_string

    ws.cell(row=row, column=7, value=(f"=_xlfn.MAXIFS({RAW}$G:$G,{RAW}$O:$O,{key})")).font = GREEN

Output

The file /tmp/analysis/build_workbook.py has been updated successfully. (file state is current in your context — no need to Read it back)

[metadata]
filePath: /tmp/analysis/build_workbook.py
oldString:     ws.cell(row=row, column=7, value=(f"=MAXIFS({RAW}$G:$G,{RAW}$O:$O,{key})")).font = GREEN
newString:     ws.cell(row=row, column=7, value=(f"=_xlfn.MAXIFS({RAW}$G:$G,{RAW}$O:$O,{key})")).font = GREEN
originalFile: null
structuredPatch:
  -
    oldStart: 245
    oldLines: 7
    newStart: 245
    newLines: 7
    lines:
      -      ws.cell(row=row, column=5, value=f'=A{row}&"|"&C{row}').font = BLACK
      -      key = f"$E{row}"
      -      ws.cell(row=row, column=6, value=(f"=INDEX({RAW}$F:$F,MATCH({key},{RAW}$O:$O,0))")).font = GREEN
      - -    ws.cell(row=row, column=7, value=(f"=MAXIFS({RAW}$G:$G,{RAW}$O:$O,{key})")).font = GREEN
      - +    ws.cell(row=row, column=7, value=(f"=_xlfn.MAXIFS({RAW}$G:$G,{RAW}$O:$O,{key})")).font = GREEN
      -      ws.cell(row=row, column=8, value=(

… 295 more characters of output in the raw trajectory.

71Edit221k1

Tool execution only — no assistant text

Edit/tmp/analysis/build_workbook.py (+replace_all, old_string)3k chars

Arguments

replace_all

false

file_path

/tmp/analysis/build_workbook.py

old_string

raw_df = pd.read_csv(f"{DATA}/weekly_pos_inventory_waste.csv")
for i, r in raw_df.iterrows():
    row = i + 2
    vals = [str(r['week_start']), r['cluster_code'], r['cluster_name'], r['sku'], r['item'], r['range_type'],
            r['stores_ranged'], r['net_sales_units'], r['waste_units'], r['oos_store_days'],
            r['receipts_units'], r['ending_on_hand_units'], None, None, None]
    write_row(ws, row, vals, font=BLUE)
    ws.cell(row=row, column=13, value=f'=IF(A{row}<=DATE(2026,4,27),"First4",

… 678 more characters of arguments in the raw trajectory.

Output

The file /tmp/analysis/build_workbook.py has been updated successfully. (file state is current in your context — no need to Read it back)

[metadata]
filePath: /tmp/analysis/build_workbook.py
oldString: |
  raw_df = pd.read_csv(f"{DATA}/weekly_pos_inventory_waste.csv")
  for i, r in raw_df.iterrows():
      row = i + 2
      vals = [str(r['week_start']), r['cluster_code'], r['cluster_name'], r['sku'], r['item'], r['range_type'],
              r['stores_ranged'], r['net_sales_units'], r['waste_units'], r['oos_store_days'],
              r['receipts_units'], r['ending_on_hand_units'], None, None, None]
      write_row(ws, row, vals, font=BLUE)
      ws.cell(row=row, column=13, value=f'=IF(A{row}<=DATE(2026,4,27),"First4","Last4")').font = BLACK
newString: |
  raw_df = pd.read_csv(f"{DATA}/weekly_pos_inventory_waste.csv", parse_dates=['week_start'])
  for i, r in raw_df.iterrows():
      row = i + 2
      vals = [r['week_start'].date(), r['cluster_code'], r['cluster_name'], r['sku'],

… 1,689 more characters of output in the raw trajectory.

72Now let's rebuild and recalculate.221k
Now let's rebuild and recalculate.

73Bash1

Tool execution only — no assistant text

Bashcd /tmp/analysis && python3 build_workbook.py && cd /workspace/output && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py reset_decision_workbook.xlsx 90 (+description)1k chars

Arguments

Rebuild workbook with fixes and recalculate

cd /tmp/analysis && python3 build_workbook.py && cd /workspace/output && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py reset_decision_workbook.xlsx 90

Output

Item Master rows: 10 | Capacity ref rows: 3 - 7 | Capacity check rows: 11 - 15
Item Economics rows: 46
Reconciliation rows: 50
Cluster Final Assortment built, rows: {'MET': (2, 8, 9), 'COM': (11, 16, 17), 'CAM': (19, 24, 25), 'HWY': (27, 31, 32), 'RUR': (34, 38, 39)}
stage4 (Summary) saved. Sheet order: ['Summary', 'Item Master', 'Vendor Terms', 'Capacity Check', 'Weekly Raw Data', 'Item Economics', 'Proposal Reconciliation', 'Cluster Final Assortment']
{
  "status": "success",
  "total_errors": 0,
  "error_summary": {},
  "total_formulas": 3328
}

[stdout]
Item Master rows: 10 | Capacity ref rows: 3 - 7 | Capacity check rows: 11 - 15
Item Economics rows: 46
Reconciliation rows: 50
Cluster Final Assortment built, rows: {'MET': (2, 8, 9), 'COM': (11, 16, 17), 'CAM': (19, 24, 25), 'HWY': (27, 31, 32), 'RUR': (34, 38, 39)}
stage4 (Summary) saved. Sheet order: ['Summary', 'Item Master', 'Vendor Terms', 'Capacity Check', 'Weekly Raw Data', 'Item Economics', 'Proposal Reconciliation', 'Clust

… 156 more characters of output in the raw trajectory.

75Zero errors across 3,328 formulas. Now let me cross-validate the computed values against my independent Python analysis…223k
Zero errors across 3,328 formulas. Now let me cross-validate the computed values against my independent Python analysis to make sure both computation paths agree.

76Bash1

Tool execution only — no assistant text

Bashpython3 -c " from openpyxl import load_workbook wb = load_workbook('reset_decision_workbook.xlsx', data_only=True) cc = wb['Capacity Check'] print('=== Capacity Check (rows 11-16) ===') for row in range(10,16): print([cc.cell(row=row,column=c).value for c in range(1,10)]) print() econ = wb['Item Economics'] print('=== Item Economics sample rows (header + first 3) ===') for row in [1,2,3,4]: print([econ.cell(row=row,column=c).value for c in [1,3,7,13,14,15,19,26,27,28,29,31]]) print() recon = wb['Proposal Reconciliation'] print('=== Reconciliation totals9k chars

Arguments

python3 -c "
from openpyxl import load_workbook
wb = load_workbook('reset_decision_workbook.xlsx', data_only=True)

cc = wb['Capacity Check']
print('=== Capacity Check (rows 11-16) ===')
for row in range(10,16):
    print([cc.cell(row=row,column=c).value for c in range(1,10)])

print()
econ = wb['Item Economics']
print('=== Item Economics sample rows (header + first 3) ===')
for row in [1,2,3,4]:
    print([econ.cell(row=row,column=c).value for c in [1,3,7,13,14,15,19,26,27,28,29,31]])

print()
recon = wb['Proposal Reconciliation']
print('=== Reconciliation totals

… 618 more characters of arguments in the raw trajectory.

Output

=== Capacity Check (rows 11-16) ===
['cluster_code', 'cluster_name', 'tray_slots_available', 'proposed_slots_used', 'proposed_over_under', 'proposed_status', 'final_slots_used', 'final_over_under', 'final_status']
['MET', 'Metro Core', 12, 12, 0, 'Exact fit - no slack', 10.5, 1.5, 'Fits']
['COM', 'Commuter Suburban', 10, 10.5, -0.5, 'OVER CAPACITY', 9, 1, 'Fits']
['CAM', 'Campus / Hospital', 10, 10.5, -0.5, 'OVER CAPACITY', 9, 1, 'Fits']
['HWY', 'Highway / Travel', 8, 8.5, -0.5, 'OVER CAPACITY', 7.5, 0.5, 'Fits']
['RUR', 'Rural North', 7, 7.5, -0.5, 'OVER CAPACITY', 6.5, 0.5, 'Fits']

=== Item Economics sample rows (header + first 3) ===
['cluster_code', 'sku', 'stores_ranged', 'units_per_store_week', 'waste_per_store_week', 'shrink_rate_pct', 'trend_pct', 'gm_dollars_per_store_week', 'shrink_credit_rate', 'effective_waste_cost_per_store_week', 'net_contribution_per_store_week', 'chainwide_weekly_net_contribution']
['MET', 'GGS-84QJ', 18, 5.5, 0.284722222222222, 0.0492196878751501, -0.

… 8,278 more characters of output in the raw trajectory.

78I caught an error in my own summary note — it undercounted the Hummus-retention gains and omitted two offsetting cuts. L…227k
I caught an error in my own summary note — it undercounted the Hummus-retention gains and omitted two offsetting cuts. Let me pull the precise bridge figures and correct it.

79Bash1

Tool execution only — no assistant text

Bashpython3 -c " from openpyxl import load_workbook wb = load_workbook('reset_decision_workbook.xlsx', data_only=True) recon = wb['Proposal Reconciliation'] print('cluster sku item status proposed_cw final_cw delta') for row in range(2,52): delta = recon.cell(row=row,column=19).value if delta and abs(delta) > 0.5: print(recon.cell(row=row,column=1).value, recon.cell(row=row,column=3).value, recon.cell(row=row,column=4).value, recon.cell(row=row,column=9).value, round(recon.cell(row=row,column=17).value,1), round(recon.cell(row=row,1k chars

Arguments

python3 -c "
from openpyxl import load_workbook
wb = load_workbook('reset_decision_workbook.xlsx', data_only=True)
recon = wb['Proposal Reconciliation']
print('cluster sku item status proposed_cw final_cw delta')
for row in range(2,52):
    delta = recon.cell(row=row,column=19).value
    if delta and abs(delta) > 0.5:
        print(recon.cell(row=row,column=1).value, recon.cell(row=row,column=3).value, recon.cell(row=row,column=4).value,
              recon.cell(row=row,column=9).value, round(recon.cell(row=row,column=17).value,1),
              round(recon.cell(row=row,

… 44 more characters of arguments in the raw trajectory.

Output

cluster sku item status proposed_cw final_cw delta
COM GGS-5MTC Hummus Veggie Wrap Reject 0 190.5 190.5
COM GGS-3RZA Caprese Ciabatta Reject 164.6 0 -164.6
COM GGS-8XUY Spicy Tuna Sushi Roll Reject 105.9 0 -105.9
CAM GGS-8XUY Spicy Tuna Sushi Roll Reject 97.5 0 -97.5
HWY GGS-5MTC Hummus Veggie Wrap Reject 0 74.4 74.4
HWY GGS-4HBP Turkey Cranberry Sandwich Reject 47.0 0 -47.0
RUR GGS-5MTC Hummus Veggie Wrap Reject 0 63.0 63.0
RUR GGS-1KFV Egg Salad Croissant Reject 25.1 0 -25.1

[stdout]
cluster sku item status proposed_cw final_cw delta
COM GGS-5MTC Hummus Veggie Wrap Reject 0 190.5 190.5
COM GGS-3RZA Caprese Ciabatta Reject 164.6 0 -164.6
COM GGS-8XUY Spicy Tuna Sushi Roll Reject 105.9 0 -105.9
CAM GGS-8XUY Spicy Tuna Sushi Roll Reject 97.5 0 -97.5
HWY GGS-5MTC Hummus Veggie Wrap Reject 0 74.4 74.4
HWY GGS-4HBP Turkey Cranberry Sandwich Reject 47.0 0 -47.0
RUR GGS-5MTC Hummus Veggie Wrap Reject 0 63.0 63.0
RUR GGS-1KFV Egg Salad Croissant Reject 25.1 0 -25.1
[metadata] {"noOutputExpec

… 12 more characters of output in the raw trajectory.

81Edit228k1

Tool execution only — no assistant text

Edit/tmp/analysis/build_workbook.py (+replace_all, old_string)4k chars

Arguments

replace_all

false

file_path

/tmp/analysis/build_workbook.py

old_string

ws.cell(row=r, column=1, value=("Note: the small net delta is not money left on the table. It nets a $369/week reduction from "
    "rejecting three proposal lines that leaned on uncontracted or thin-pilot volume (Commuter Caprese, Commuter Sushi, "
    "Campus Sushi -- the latter two piloted at 26-33% shrink, the worst in the assortment) against a $137/week gain from "
    "keeping Hummus Veggie Wrap as the vegetarian anchor in Highway and Rural instead of leaving those clusters short a "
    "compli

… 1,145 more characters of arguments in the raw trajectory.

Output

The file /tmp/analysis/build_workbook.py has been updated successfully. (file state is current in your context — no need to Read it back)

[metadata]
filePath: /tmp/analysis/build_workbook.py
oldString: |
  ws.cell(row=r, column=1, value=("Note: the small net delta is not money left on the table. It nets a $369/week reduction from "
      "rejecting three proposal lines that leaned on uncontracted or thin-pilot volume (Commuter Caprese, Commuter Sushi, "
      "Campus Sushi -- the latter two piloted at 26-33% shrink, the worst in the assortment) against a $137/week gain from "
      "keeping Hummus Veggie Wrap as the vegetarian anchor in Highway and Rural instead of leaving those clusters short a "
      "compliant vegetarian option. The recommended plan is the one that is actually executable; the buyer total is not.")).alignment = WRAP
newString: ws.cell(row=r, column=1, value=("Note: the small net delta is not money left on the table -- it nets three offsetting moves

… 2,968 more characters of output in the raw trajectory.

83Bash229k1

Tool execution only — no assistant text

Bashcd /tmp/analysis && grep -n "small net delta\|r += 4\|r += 3\|start_row=r, start_column=1, end_row=r+2" build_workbook.py | head -20 (+description)

Arguments

Locate surrounding merge/row-advance lines for the note block

cd /tmp/analysis && grep -n "small net delta\|r += 4\|r += 3\|start_row=r, start_column=1, end_row=r+2" build_workbook.py | head -20

Output

425:ws.merge_cells(start_row=r, start_column=1, end_row=r+2, end_column=8)
438:r += 4
502:ws.merge_cells(start_row=r, start_column=1, end_row=r+2, end_column=8)
503:ws.cell(row=r, column=1, value=("Note: the small net delta is not money left on the table -- it nets three offsetting moves. (1) +$328/week from "
515:r += 4
566:r += 3
Shell cwd was reset to /workspace

[stdout]
425:ws.merge_cells(start_row=r, start_column=1, end_row=r+2, end_column=8)
438:r += 4
502:ws.merge_cells(start_row=r, start_column=1, end_row=r+2, end_column=8)
503:ws.cell(row=r, column=1, value=("Note: the small net delta is not money left on the table -- it nets three offsetting moves. (1) +$328/week from "
515:r += 4
566:r += 3
[stderr]

Shell cwd was reset to /workspace
[metadata]
noOutputExpected: false

84Read229k1

Tool execution only — no assistant text

Read/tmp/analysis/build_workbook.py (+offset, limit)4k chars

Arguments

file_path: /tmp/analysis/build_workbook.py
offset: 495
limit: 25

Output

495	ws.cell(row=r, column=4).number_format = CUR0
496	r += 1
497	ws.cell(row=r, column=1, value="Delta").font = BOLD
498	ws.cell(row=r, column=4, value=f"=B{r-1}").font=BLACK  # placeholder overwritten below
499	ws.cell(row=r, column=4, value=f"='Proposal Reconciliation'!S{total_recon_row}").font = BOLD
500	ws.cell(row=r, column=4).number_format = CUR0
501	r += 1
502	ws.merge_cells(start_row=r, start_column=1, end_row=r+2, end_column=8)
503	ws.cell(row=r, column=1, value=("Note: the small net delta is not money left on the table -- it nets three offsetting moves. (1) +$328/week from "
504	    "rejecting the proposed removal of Hummus Veggie Wrap in Commuter, Highway, and Rural (keeping it as the vegetarian "
505	    "anchor there instead of Caprese or nothing). (2) -$368/week from rejecting three additions that leaned on "
506	    "uncontracted or thin-pilot volume (Commuter Caprese, Commuter Sushi, Campus Sushi -- the latter two piloted at "
507	    "26-33% shrink, the worst in the as

… 2,880 more characters of output in the raw trajectory.

85Let me expand the merged region to 4 rows to fit the longer note text properly.230k
Let me expand the merged region to 4 rows to fit the longer note text properly.

86Edit1

Tool execution only — no assistant text

Edit/tmp/analysis/build_workbook.py (+replace_all, old_string, new_string)2k chars

Arguments

replace_all

false

file_path

/tmp/analysis/build_workbook.py

old_string

ws.merge_cells(start_row=r, start_column=1, end_row=r+2, end_column=8)
ws.cell(row=r, column=1, value=("Note: the small net delta is not money left on the table -- it nets three offsetting moves. (1) +$328/week from "

new_string

ws.merge_cells(start_row=r, start_column=1, end_row=r+3, end_column=8)
ws.cell(row=r, column=1, value=("Note: the small net delta is not money left on the table -- it nets three offsetting moves. (1) +$328/week from "

Output

The file /tmp/analysis/build_workbook.py has been updated successfully. (file state is current in your context — no need to Read it back)

[metadata]
filePath: /tmp/analysis/build_workbook.py
oldString: |
  ws.merge_cells(start_row=r, start_column=1, end_row=r+2, end_column=8)
  ws.cell(row=r, column=1, value=("Note: the small net delta is not money left on the table -- it nets three offsetting moves. (1) +$328/week from "
newString: |
  ws.merge_cells(start_row=r, start_column=1, end_row=r+3, end_column=8)
  ws.cell(row=r, column=1, value=("Note: the small net delta is not money left on the table -- it nets three offsetting moves. (1) +$328/week from "
originalFile: null
structuredPatch:
  -
    oldStart: 499
    oldLines: 7
    newStart: 499
    newLines: 7
    lines:
      -  ws.cell(row=r, column=4, value=f"='Proposal Reconciliation'!S{total_recon_row}").font = BOLD
      -  ws.cell(row=r, column=4).number_format = CUR0
      -  r += 1
      - -ws.merge_cells(start_row=r, start_column=1, end_r

… 545 more characters of output in the raw trajectory.

87Edit231k1

Tool execution only — no assistant text

Edit/tmp/analysis/build_workbook.py (+replace_all, old_string, new_string)2k chars

Arguments

replace_all

false

file_path

/tmp/analysis/build_workbook.py

old_string

ws.cell(row=r, column=1).font = BLACK
for rr in range(r, r+3):
    for c in range(1,9):
        ws.cell(row=rr, column=c).border = BORDER
r += 4

ws.cell(row=r, column=1, value="VENDOR LAUNCH-SUPPORT CAP CHECK (recommended plan, 4-week reset window)").font = SECTION_FONT; r += 1

new_string

ws.cell(row=r, column=1).font = BLACK
for rr in range(r, r+4):
    for c in range(1,9):
        ws.cell(row=rr, column=c).border = BORDER
r += 5

ws.cell(row=r, column=1, value="VENDOR LAUNCH-SUPPORT CAP CHECK

… 73 more characters of arguments in the raw trajectory.

Output

The file /tmp/analysis/build_workbook.py has been updated successfully. (file state is current in your context — no need to Read it back)

[metadata]
filePath: /tmp/analysis/build_workbook.py
oldString: |
  ws.cell(row=r, column=1).font = BLACK
  for rr in range(r, r+3):
      for c in range(1,9):
          ws.cell(row=rr, column=c).border = BORDER
  r += 4
  
  ws.cell(row=r, column=1, value="VENDOR LAUNCH-SUPPORT CAP CHECK (recommended plan, 4-week reset window)").font = SECTION_FONT; r += 1
newString: |
  ws.cell(row=r, column=1).font = BLACK
  for rr in range(r, r+4):
      for c in range(1,9):
          ws.cell(row=rr, column=c).border = BORDER
  r += 5
  
  ws.cell(row=r, column=1, value="VENDOR LAUNCH-SUPPORT CAP CHECK (recommended plan, 4-week reset window)").font = SECTION_FONT; r += 1
originalFile: null
structuredPatch:
  -
    oldStart: 509
    oldLines: 10
    newStart: 509
    newLines: 10
    lines:
      -      "and Rural Egg Salad Croissant, which the handoff bars from being a

… 583 more characters of output in the raw trajectory.

89Read231k1

Tool execution only — no assistant text

Read/tmp/analysis/build_workbook.py (+offset, limit)4k chars

Arguments

file_path: /tmp/analysis/build_workbook.py
offset: 415
limit: 25

Output

415	
416	# ============================================================= SUMMARY
417	ws = wb.create_sheet("Summary")
418	ws.sheet_view.showGridLines = False
419	ws.cell(row=1, column=1, value="Prepared Foods Grab-and-Go Reset -- Decision Workbook").font = TITLE_FONT
420	ws.cell(row=2, column=1, value="Blue Mesa Market | Q3 2026 refrigerated grab-and-go case | First 4 weeks of July reset").font = SUBTITLE_FONT
421	ws.cell(row=3, column=1, value="Prepared for: L. Moreno, Senior Merchant - Prepared Foods  |  Prepared by: Category Planning").font = SUBTITLE_FONT
422	
423	r = 5
424	ws.cell(row=r, column=1, value="HEADLINE FINDING").font = SECTION_FONT; r += 1
425	ws.merge_cells(start_row=r, start_column=1, end_row=r+2, end_column=8)
426	ws.cell(row=r, column=1, value=("The buyer proposal, as submitted, does not fit the live case: it exceeds available tray capacity in 4 of 5 "
427	    "clusters (Commuter, Campus, Highway, Rural) and uses 100% of capacity with zero slack in the 5th (Metro). I

… 2,673 more characters of output in the raw trajectory.

91Bash233k1

Tool execution only — no assistant text

Bashcd /tmp/analysis && python3 build_workbook.py && cd /workspace/output && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py reset_decision_workbook.xlsx 90 (+description)1k chars

Arguments

Rebuild workbook with corrected note and recalculate

cd /tmp/analysis && python3 build_workbook.py && cd /workspace/output && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py reset_decision_workbook.xlsx 90

Output

Item Master rows: 10 | Capacity ref rows: 3 - 7 | Capacity check rows: 11 - 15
Item Economics rows: 46
Reconciliation rows: 50
Cluster Final Assortment built, rows: {'MET': (2, 8, 9), 'COM': (11, 16, 17), 'CAM': (19, 24, 25), 'HWY': (27, 31, 32), 'RUR': (34, 38, 39)}
stage4 (Summary) saved. Sheet order: ['Summary', 'Item Master', 'Vendor Terms', 'Capacity Check', 'Weekly Raw Data', 'Item Economics', 'Proposal Reconciliation', 'Cluster Final Assortment']
{
  "status": "success",
  "total_errors": 0,
  "error_summary": {},
  "total_formulas": 3328
}

[stdout]
Item Master rows: 10 | Capacity ref rows: 3 - 7 | Capacity check rows: 11 - 15
Item Economics rows: 46
Reconciliation rows: 50
Cluster Final Assortment built, rows: {'MET': (2, 8, 9), 'COM': (11, 16, 17), 'CAM': (19, 24, 25), 'HWY': (27, 31, 32), 'RUR': (34, 38, 39)}
stage4 (Summary) saved. Sheet order: ['Summary', 'Item Master', 'Vendor Terms', 'Capacity Check', 'Weekly Raw Data', 'Item Economics', 'Proposal Reconciliation', 'Clust

… 156 more characters of output in the raw trajectory.

93Let me visually verify the workbook renders correctly by converting key sheets to images.233k
Let me visually verify the workbook renders correctly by converting key sheets to images.

94Bash1

Tool execution only — no assistant text

Bashpython3 /logs/agent/sessions/skills/docx/scripts/office/soffice.py --headless --convert-to pdf reset_decision_workbook.xlsx 2>&1 | tail -5 && ls -la *.pdf (+description)

Arguments

Convert workbook to PDF for visual inspection

python3 /logs/agent/sessions/skills/docx/scripts/office/soffice.py --headless --convert-to pdf reset_decision_workbook.xlsx 2>&1 | tail -5 && ls -la *.pdf

Output

Warning: failed to launch javaldx - java may not function correctly
convert /workspace/output/reset_decision_workbook.xlsx as a Calc document -> /workspace/output/reset_decision_workbook.pdf using filter : calc_pdf_Export
-rw-r--r-- 1 root root 2398126 Aug 20 02:49 reset_decision_workbook.pdf

[stdout]
Warning: failed to launch javaldx - java may not function correctly
convert /workspace/output/reset_decision_workbook.xlsx as a Calc document -> /workspace/output/reset_decision_workbook.pdf using filter : calc_pdf_Export
-rw-r--r-- 1 root root 2398126 Aug 20 02:49 reset_decision_workbook.pdf
[metadata]
noOutputExpected: false

96Bash234k1
Tool execution only — no assistant text
Bash(pdfinfo reset_decision_workbook.pdf 2>/dev/null | grep Pages) || python3 -c " from pypdf import PdfReader r = PdfReader('reset_decision_workbook.pdf') print('Pages:', len(r.pages)) " (+description)
Arguments
Check page count of the rendered workbook PDF
(pdfinfo reset_decision_workbook.pdf 2>/dev/null | grep Pages) || python3 -c " from pypdf import PdfReader r = PdfReader('reset_decision_workbook.pdf') print('Pages:', len(r.pages)) "
Output
Pages: 95 [stdout] Pages: 95 [metadata] noOutputExpected: false

98Bash235k1

Tool execution only — no assistant text

Bashpdftoppm -jpeg -r 100 -f 1 -l 4 reset_decision_workbook.pdf /tmp/analysis/summary_page && ls /tmp/analysis/summary_page* (+description)

Arguments

Render first 4 pages of the workbook PDF as images

pdftoppm -jpeg -r 100 -f 1 -l 4 reset_decision_workbook.pdf /tmp/analysis/summary_page && ls /tmp/analysis/summary_page*

Output

/tmp/analysis/summary_page-01.jpg
/tmp/analysis/summary_page-02.jpg
/tmp/analysis/summary_page-03.jpg
/tmp/analysis/summary_page-04.jpg

[stdout]
/tmp/analysis/summary_page-01.jpg
/tmp/analysis/summary_page-02.jpg
/tmp/analysis/summary_page-03.jpg
/tmp/analysis/summary_page-04.jpg
[metadata]
noOutputExpected: false

99Read235k1

Tool execution only — no assistant text

Read/tmp/analysis/summary_page-01.jpg402k chars

Arguments

/tmp/analysis/summary_page-01.jpg

Output

type: image
source:
  type: base64
  data: 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

… 401,397 more characters of output in the raw trajectory.

100Read1

Tool execution only — no assistant text

Read/tmp/analysis/summary_page-02.jpg105k chars

Arguments

/tmp/analysis/summary_page-02.jpg

Output

type: image
source:
  type: base64
  data: 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

… 104,332 more characters of output in the raw trajectory.

102The layout is correct but the print/page setup clips wide tables (columns run off the page). Since this workbook may get…239k
The layout is correct but the print/page setup clips wide tables (columns run off the page). Since this workbook may get printed or PDF'd by Space Planning, let me set proper page setup (landscape, fit-to-width) across all sheets.

103Edit1

Tool execution only — no assistant text

Edit/tmp/analysis/build_workbook.py (+replace_all, old_string, new_string)2k chars

Arguments

replace_all

false

file_path

/tmp/analysis/build_workbook.py

old_string

wb.move_sheet("Summary", offset=-(len(wb.sheetnames)-1))
wb.save(OUT)
print("stage4 (Summary) saved. Sheet order:", wb.sheetnames)

new_string

wb.move_sheet("Summary", offset=-(len(wb.sheetnames)-1))

# ---- Print setup for every sheet: landscape, fit to page width ----
for name in wb.sheetnames:
    sh = wb[name]
    sh.page_setup.orientation = "landscape"
    sh.page_setup.fitToWidth = 1
    sh.page_setup.fitToHeight = 0
    sh.sheet_properties.pageSetUpPr.fitToPage = True
    sh.page_margi

… 242 more characters of arguments in the raw trajectory.

Output

The file /tmp/analysis/build_workbook.py has been updated successfully. (file state is current in your context — no need to Read it back)

[metadata]
filePath: /tmp/analysis/build_workbook.py
oldString: |
  wb.move_sheet("Summary", offset=-(len(wb.sheetnames)-1))
  wb.save(OUT)
  print("stage4 (Summary) saved. Sheet order:", wb.sheetnames)
newString: |
  wb.move_sheet("Summary", offset=-(len(wb.sheetnames)-1))
  
  # ---- Print setup for every sheet: landscape, fit to page width ----
  for name in wb.sheetnames:
      sh = wb[name]
      sh.page_setup.orientation = "landscape"
      sh.page_setup.fitToWidth = 1
      sh.page_setup.fitToHeight = 0
      sh.sheet_properties.pageSetUpPr.fitToPage = True
      sh.page_margins.left = 0.3
      sh.page_margins.right = 0.3
      sh.page_margins.top = 0.4
      sh.page_margins.bottom = 0.4
      sh.print_options.horizontalCentered = False
  
  wb.save(OUT)
  print("stage4 (Summary) saved. Sheet order:", wb.sheetnames)
originalFile: null

… 845 more characters of output in the raw trajectory.

104Bash239k1

Tool execution only — no assistant text

Bashcd /tmp/analysis && python3 build_workbook.py && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py reset_decision_workbook.xlsx 90 (+description)1k chars

Arguments

Rebuild with print setup and recalculate

cd /tmp/analysis && python3 build_workbook.py && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py reset_decision_workbook.xlsx 90

Output

Item Master rows: 10 | Capacity ref rows: 3 - 7 | Capacity check rows: 11 - 15
Item Economics rows: 46
Reconciliation rows: 50
Cluster Final Assortment built, rows: {'MET': (2, 8, 9), 'COM': (11, 16, 17), 'CAM': (19, 24, 25), 'HWY': (27, 31, 32), 'RUR': (34, 38, 39)}
stage4 (Summary) saved. Sheet order: ['Summary', 'Item Master', 'Vendor Terms', 'Capacity Check', 'Weekly Raw Data', 'Item Economics', 'Proposal Reconciliation', 'Cluster Final Assortment']
{
  "error": "File reset_decision_workbook.xlsx does not exist"
}
Shell cwd was reset to /workspace

[stdout]
Item Master rows: 10 | Capacity ref rows: 3 - 7 | Capacity check rows: 11 - 15
Item Economics rows: 46
Reconciliation rows: 50
Cluster Final Assortment built, rows: {'MET': (2, 8, 9), 'COM': (11, 16, 17), 'CAM': (19, 24, 25), 'HWY': (27, 31, 32), 'RUR': (34, 38, 39)}
stage4 (Summary) saved. Sheet order: ['Summary', 'Item Master', 'Vendor Terms', 'Capacity Check', 'Weekly Raw Data', 'Item Economics', 'Proposal Reconciliation', 'C

… 174 more characters of output in the raw trajectory.

106Bash239k1

Tool execution only — no assistant text

Bashcd /workspace/output && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py reset_decision_workbook.xlsx 90 (+description)

Arguments

Recalculate workbook formulas from correct directory

cd /workspace/output && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py reset_decision_workbook.xlsx 90

Output

{
  "status": "success",
  "total_errors": 0,
  "error_summary": {},
  "total_formulas": 3328
}

[stdout]
{
  "status": "success",
  "total_errors": 0,
  "error_summary": {},
  "total_formulas": 3328
}
[metadata]
noOutputExpected: false

108Bash240k1

Tool execution only — no assistant text

Bashrm -f reset_decision_workbook.pdf && python3 /logs/agent/sessions/skills/docx/scripts/office/soffice.py --headless --convert-to pdf reset_decision_workbook.xlsx 2>&1 | tail -3 && python3 -c " from pypdf import PdfReader r = PdfReader('reset_decision_workbook.pdf') print('Pages:', len(r.pages)) " (+description)

Arguments

Re-render PDF with new print setup and check page count

rm -f reset_decision_workbook.pdf && python3 /logs/agent/sessions/skills/docx/scripts/office/soffice.py --headless --convert-to pdf reset_decision_workbook.xlsx 2>&1 | tail -3 && python3 -c "
from pypdf import PdfReader
r = PdfReader('reset_decision_workbook.pdf')
print('Pages:', len(r.pages))
"

Output

Warning: failed to launch javaldx - java may not function correctly
convert /workspace/output/reset_decision_workbook.xlsx as a Calc document -> /workspace/output/reset_decision_workbook.pdf using filter : calc_pdf_Export
Pages: 14

[stdout]
Warning: failed to launch javaldx - java may not function correctly
convert /workspace/output/reset_decision_workbook.xlsx as a Calc document -> /workspace/output/reset_decision_workbook.pdf using filter : calc_pdf_Export
Pages: 14
[metadata]
noOutputExpected: false

110Bash240k1

Tool execution only — no assistant text

Bashcd /tmp/analysis && rm -f pg*.jpg && pdftoppm -jpeg -r 110 /workspace/output/reset_decision_workbook.pdf pg && ls pg* (+description)

Arguments

Render all 14 pages as images for review

cd /tmp/analysis && rm -f pg*.jpg && pdftoppm -jpeg -r 110 /workspace/output/reset_decision_workbook.pdf pg && ls pg*

Output

pg-01.jpg
pg-02.jpg
pg-03.jpg
pg-04.jpg
pg-05.jpg
pg-06.jpg
pg-07.jpg
pg-08.jpg
pg-09.jpg
pg-10.jpg
pg-11.jpg
pg-12.jpg
pg-13.jpg
pg-14.jpg
Shell cwd was reset to /workspace

[stdout]
pg-01.jpg
pg-02.jpg
pg-03.jpg
pg-04.jpg
pg-05.jpg
pg-06.jpg
pg-07.jpg
pg-08.jpg
pg-09.jpg
pg-10.jpg
pg-11.jpg
pg-12.jpg
pg-13.jpg
pg-14.jpg
[stderr]

Shell cwd was reset to /workspace
[metadata]
noOutputExpected: false

111Read240k1

Tool execution only — no assistant text

Read/tmp/analysis/pg-01.jpg509k chars

Arguments

/tmp/analysis/pg-01.jpg

Output

type: image
source:
  type: base64
  data: 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

… 508,437 more characters of output in the raw trajectory.

112Read1

Tool execution only — no assistant text

Read/tmp/analysis/pg-02.jpg78k chars

Arguments

/tmp/analysis/pg-02.jpg

Output

type: image
source:
  type: base64
  data: /9j/4AAQSkZJRgABAQEAbgBuAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAOnBLoDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA

… 77,308 more characters of output in the raw trajectory.

114I spotted a small alignment bug — the bullet dashes are bottom-aligned while the wrapped text is top-aligned, making the…245k
I spotted a small alignment bug — the bullet dashes are bottom-aligned while the wrapped text is top-aligned, making them look visually offset by one row. Let me fix that.

115Bash1

Tool execution only — no assistant text

Bashcd /tmp/analysis && grep -n 'value="-"' build_workbook.py (+description)

Arguments

Find the bullet-dash cell code

cd /tmp/analysis && grep -n 'value="-"' build_workbook.py

Output

578:    ws.cell(row=r, column=1, value="-").font = BLACK
Shell cwd was reset to /workspace

[stdout]
578:    ws.cell(row=r, column=1, value="-").font = BLACK
[stderr]

Shell cwd was reset to /workspace
[metadata]
noOutputExpected: false

116Read245k1

Tool execution only — no assistant text

Read/tmp/analysis/build_workbook.py (+offset, limit)4k chars

Arguments

file_path: /tmp/analysis/build_workbook.py
offset: 570
limit: 12

Output

570	 "Metro Core has zero slack at the buyer's proposed facings (12.0 of 12.0 tray slots) -- any facing miscount or delivery miss breaks the case. Recommendation launches Sushi at 1 facing (not 2) to hold 1.5 slots of buffer.",
571	 "Sakura Express's signed daily route + 50% waste credit names 'route M-11' stores specifically, not all 18 Metro Core stores; the files do not confirm whether M-11 covers the full cluster. Space Planning should confirm the M-11 store list before wiring the 2nd Sushi facing at the next reset.",
572	 "Caprese and Sushi pilots only ran in Metro/Commuter/Campus -- there is no internal demand signal at all for Highway or Rural North, independent of the route restrictions that already block them there.",
573	 "Hummus and Caprese only carry the GreenFork 30% shrink credit in stores receiving >=4 GreenFork deliveries/week. Highway (3/wk) and Rural (2/wk) fall below that line, so Hummus's shrink risk in those two clusters is real and uncredited -- worth an active po

… 2,683 more characters of output in the raw trajectory.

117Edit246k1

Tool execution only — no assistant text

Edit/tmp/analysis/build_workbook.py (+replace_all, old_string, new_string)1k chars

Arguments

replace_all

false

file_path

/tmp/analysis/build_workbook.py

old_string

for txt in risks:
    ws.cell(row=r, column=1, value="-").font = BLACK
    ws.merge_cells(start_row=r, start_column=2, end_row=r, end_column=8)

new_string

for txt in risks:
    ws.cell(row=r, column=1, value="-").font = BLACK
    ws.cell(row=r, column=1).alignment = Alignment(vertical="top")
    ws.merge_cells(start_row=r, start_column=2, end_row=r, end_column=8)

Output

The file /tmp/analysis/build_workbook.py has been updated successfully. (file state is current in your context — no need to Read it back)

[metadata]
filePath: /tmp/analysis/build_workbook.py
oldString: |
  for txt in risks:
      ws.cell(row=r, column=1, value="-").font = BLACK
      ws.merge_cells(start_row=r, start_column=2, end_row=r, end_column=8)
newString: |
  for txt in risks:
      ws.cell(row=r, column=1, value="-").font = BLACK
      ws.cell(row=r, column=1).alignment = Alignment(vertical="top")
      ws.merge_cells(start_row=r, start_column=2, end_row=r, end_column=8)
originalFile: null
structuredPatch:
  -
    oldStart: 576
    oldLines: 6
    newStart: 576
    newLines: 7
    lines:
      -  ]
      -  for txt in risks:
      -      ws.cell(row=r, column=1, value="-").font = BLACK
      - +    ws.cell(row=r, column=1).alignment = Alignment(vertical="top")
      -      ws.merge_cells(start_row=r, start_column=2, end_row=r, end_column=8)
      -      ws.cell(row=r, column=2, value=txt).font = B

… 103 more characters of output in the raw trajectory.

119Read247k1

Tool execution only — no assistant text

Read/tmp/analysis/pg-03.jpg176k chars

Arguments

/tmp/analysis/pg-03.jpg

Output

type: image
source:
  type: base64
  data: 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

… 175,484 more characters of output in the raw trajectory.

120Read1

Tool execution only — no assistant text

Read/tmp/analysis/pg-04.jpg193k chars

Arguments

/tmp/analysis/pg-04.jpg

Output

type: image
source:
  type: base64
  data: 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

… 192,460 more characters of output in the raw trajectory.

122Read250k1

Tool execution only — no assistant text

Read/tmp/analysis/pg-05.jpg229k chars

Arguments

/tmp/analysis/pg-05.jpg

Output

type: image
source:
  type: base64
  data: 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

… 227,508 more characters of output in the raw trajectory.

123Read1

Tool execution only — no assistant text

Read/tmp/analysis/pg-07.jpg764k chars

Arguments

/tmp/analysis/pg-07.jpg

Output

type: image
source:
  type: base64
  data: 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

… 762,821 more characters of output in the raw trajectory.

125Read254k1

Tool execution only — no assistant text

Read/tmp/analysis/pg-09.jpg766k chars

Arguments

/tmp/analysis/pg-09.jpg

Output

type: image
source:
  type: base64
  data: 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

… 765,125 more characters of output in the raw trajectory.

126Read1

Tool execution only — no assistant text

Read/tmp/analysis/pg-11.jpg289k chars

Arguments

/tmp/analysis/pg-11.jpg

Output

type: image
source:
  type: base64
  data: 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

… 288,413 more characters of output in the raw trajectory.

128Read258k1

Tool execution only — no assistant text

Read/tmp/analysis/pg-12.jpg468k chars

Arguments

/tmp/analysis/pg-12.jpg

Output

type: image
source:
  type: base64
  data: 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

… 467,485 more characters of output in the raw trajectory.

129Read1

Tool execution only — no assistant text

Read/tmp/analysis/pg-14.jpg386k chars

Arguments

/tmp/analysis/pg-14.jpg

Output

type: image
source:
  type: base64
  data: 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

… 384,957 more characters of output in the raw trajectory.

131The data and formulas are all correct and cross-validated. Let me adjust print scaling for the three densest tabs so the…262k
The data and formulas are all correct and cross-validated. Let me adjust print scaling for the three densest tabs so they're legible if printed, then do a final rebuild.

132Edit1

Tool execution only — no assistant text

Edit/tmp/analysis/build_workbook.py (+replace_all, old_string, new_string)2k chars

Arguments

replace_all

false

file_path

/tmp/analysis/build_workbook.py

old_string

# ---- Print setup for every sheet: landscape, fit to page width ----
for name in wb.sheetnames:
    sh = wb[name]
    sh.page_setup.orientation = "landscape"
    sh.page_setup.fitToWidth = 1
    sh.page_setup.fitToHeight = 0

new_string

# ---- Print setup for every sheet: landscape, fit to page width ----
WIDE_SHEETS = {"Weekly Raw Data", "Item Economics", "Proposal Reconciliation"}
for name in wb.sheetnames:
    sh = wb[name]
    sh.page_setup.orientation = "landscape"
    sh.page_setup.fi

… 79 more characters of arguments in the raw trajectory.

Output

The file /tmp/analysis/build_workbook.py has been updated successfully. (file state is current in your context — no need to Read it back)

[metadata]
filePath: /tmp/analysis/build_workbook.py
oldString: |
  # ---- Print setup for every sheet: landscape, fit to page width ----
  for name in wb.sheetnames:
      sh = wb[name]
      sh.page_setup.orientation = "landscape"
      sh.page_setup.fitToWidth = 1
      sh.page_setup.fitToHeight = 0
newString: |
  # ---- Print setup for every sheet: landscape, fit to page width ----
  WIDE_SHEETS = {"Weekly Raw Data", "Item Economics", "Proposal Reconciliation"}
  for name in wb.sheetnames:
      sh = wb[name]
      sh.page_setup.orientation = "landscape"
      sh.page_setup.fitToWidth = 2 if name in WIDE_SHEETS else 1
      sh.page_setup.fitToHeight = 0
originalFile: null
structuredPatch:
  -
    oldStart: 591
    oldLines: 10
    newStart: 591
    newLines: 11
    lines:
      -  wb.move_sheet("Summary", offset=-(len(wb.sheetnames)-1))
      -  
      - ""

… 545 more characters of output in the raw trajectory.

133Bash262k1

Tool execution only — no assistant text

Bashcd /tmp/analysis && python3 build_workbook.py && cd /workspace/output && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py reset_decision_workbook.xlsx 90 (+description)1k chars

Arguments

Final rebuild with adjusted print scaling and recalculate

cd /tmp/analysis && python3 build_workbook.py && cd /workspace/output && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py reset_decision_workbook.xlsx 90

Output

Item Master rows: 10 | Capacity ref rows: 3 - 7 | Capacity check rows: 11 - 15
Item Economics rows: 46
Reconciliation rows: 50
Cluster Final Assortment built, rows: {'MET': (2, 8, 9), 'COM': (11, 16, 17), 'CAM': (19, 24, 25), 'HWY': (27, 31, 32), 'RUR': (34, 38, 39)}
stage4 (Summary) saved. Sheet order: ['Summary', 'Item Master', 'Vendor Terms', 'Capacity Check', 'Weekly Raw Data', 'Item Economics', 'Proposal Reconciliation', 'Cluster Final Assortment']
{
  "status": "success",
  "total_errors": 0,
  "error_summary": {},
  "total_formulas": 3328
}

[stdout]
Item Master rows: 10 | Capacity ref rows: 3 - 7 | Capacity check rows: 11 - 15
Item Economics rows: 46
Reconciliation rows: 50
Cluster Final Assortment built, rows: {'MET': (2, 8, 9), 'COM': (11, 16, 17), 'CAM': (19, 24, 25), 'HWY': (27, 31, 32), 'RUR': (34, 38, 39)}
stage4 (Summary) saved. Sheet order: ['Summary', 'Item Master', 'Vendor Terms', 'Capacity Check', 'Weekly Raw Data', 'Item Economics', 'Proposal Reconciliation', 'Clust

… 156 more characters of output in the raw trajectory.

135Bash263k1

Tool execution only — no assistant text

Bashls -la /workspace/output/ && rm -f /workspace/output/reset_decision_workbook.pdf && ls -la /workspace/output/ (+description)

Arguments

Clean up the temporary inspection PDF from the output folder

ls -la /workspace/output/ && rm -f /workspace/output/reset_decision_workbook.pdf && ls -la /workspace/output/

Output

total 2372
drwxr-xr-x 2 root root    4096 Aug 20 02:52 .
drwxr-xr-x 1 root root    4096 Aug 20 02:32 ..
-rw-r--r-- 1 root root 2328387 Aug 20 02:50 reset_decision_workbook.pdf
-rw-r--r-- 1 root root   88563 Aug 20 02:52 reset_decision_workbook.xlsx
total 96
drwxr-xr-x 2 root root  4096 Aug 20 02:52 .
drwxr-xr-x 1 root root  4096 Aug 20 02:32 ..
-rw-r--r-- 1 root root 88563 Aug 20 02:52 reset_decision_workbook.xlsx

[stdout]
total 2372
drwxr-xr-x 2 root root    4096 Aug 20 02:52 .
drwxr-xr-x 1 root root    4096 Aug 20 02:32 ..
-rw-r--r-- 1 root root 2328387 Aug 20 02:50 reset_decision_workbook.pdf
-rw-r--r-- 1 root root   88563 Aug 20 02:52 reset_decision_workbook.xlsx
total 96
drwxr-xr-x 2 root root  4096 Aug 20 02:52 .
drwxr-xr-x 1 root root  4096 Aug 20 02:32 ..
-rw-r--r-- 1 root root 88563 Aug 20 02:52 reset_decision_workbook.xlsx
[metadata]
noOutputExpected: false

137Now let me build the memo. First, checking the docx-js tooling is available.268k
Now let me build the memo. First, checking the docx-js tooling is available.

138Bash1

Tool execution only — no assistant text

Bashnpm list -g docx 2>&1 | head -5; node --version (+description)

Arguments

Check docx npm package and node availability

npm list -g docx 2>&1 | head -5; node --version

Output

Exit code 127
/bin/bash: line 1: npm: command not found
/bin/bash: line 1: node: command not found

[error] tool reported failure

140Bash268k1

Tool execution only — no assistant text

Bashpython3 -c "import docx; print('python-docx available:', docx.__file__)" 2>&1 which soffice libreoffice 2>&1 python3 -c " from openpyxl import Workbook " 2>&1 pip list 2>/dev/null | grep -i docx (+description)

Arguments

Check for python-docx and libreoffice availability as alternative docx tooling

python3 -c "import docx; print('python-docx available:', docx.__file__)" 2>&1
which soffice libreoffice 2>&1
python3 -c "
from openpyxl import Workbook
" 2>&1
pip list 2>/dev/null | grep -i docx

Output

python-docx available: /usr/local/lib/python3.11/site-packages/docx/__init__.py
/usr/bin/soffice
/usr/bin/libreoffice
python-docx        1.2.0

[stdout]
python-docx available: /usr/local/lib/python3.11/site-packages/docx/__init__.py
/usr/bin/soffice
/usr/bin/libreoffice
python-docx        1.2.0
[metadata]
noOutputExpected: false

142Write273k1

Tool execution only — no assistant text

Write/tmp/analysis/build_memo.py (+content)7k chars

Arguments

file_path

/tmp/analysis/build_memo.py

content

import docx
from docx import Document
from docx.shared import Pt, Inches, RGBColor, Cm
from docx.enum.text import WD_ALIGN_PARAGRAPH
from docx.enum.table import WD_TABLE_ALIGNMENT
from docx.oxml.ns import qn
from docx.oxml import OxmlElement
from docx.enum.section import WD_SECTION

NAVY = RGBColor(0x1F, 0x4E, 0x78)
DARKRED = RGBColor(0x9C, 0x00, 0x06)
DARKGREEN = RGBColor(0x00, 0x61, 0x00)
GREY = RGBColor(0x59, 0x59, 0x59)
BLACK = RGBColor(0x00, 0x00, 0x00)

def set_cell_shading(cell, color_hex):
    tcPr = cell._tc.get_or_

… 6,543 more characters of arguments in the raw trajectory.

Output

File created successfully at: /tmp/analysis/build_memo.py (file state is current in your context — no need to Read it back)

[metadata]
type: create
filePath: /tmp/analysis/build_memo.py
content: |
  import docx
  from docx import Document
  from docx.shared import Pt, Inches, RGBColor, Cm
  from docx.enum.text import WD_ALIGN_PARAGRAPH
  from docx.enum.table import WD_TABLE_ALIGNMENT
  from docx.oxml.ns import qn
  from docx.oxml import OxmlElement
  from docx.enum.section import WD_SECTION
  
  NAVY = RGBColor(0x1F, 0x4E, 0x78)
  DARKRED = RGBColor(0x9C, 0x00, 0x06)
  DARKGREEN = RGBColor(0x00, 0x61, 0x00)
  GREY = RGBColor(0x59, 0x59, 0x59)
  BLACK = RGBColor(0x00, 0x00, 0x00)
  
  def set_cell_shading(cell, color_hex):
      tcPr = cell._tc.get_or_add_tcPr()
      shd = OxmlElement('w:shd')
      shd.set(qn('w:val'), 'clear')
      shd.set(qn('w:color'), 'auto')
      shd.set(qn('w:fill'), color_hex)
      tcPr.append(shd)
  
  def set_cell_borders(cell, color="BFBFBF", sz=4):
      tcPr = cel

… 6,367 more characters of output in the raw trajectory.

144Bash273k1

Tool execution only — no assistant text

Bashcd /tmp/analysis && python3 build_memo.py (+description)

Arguments

Test stage 1 of memo build

cd /tmp/analysis && python3 build_memo.py

Output

Stage 1 (title + bottom line) saved
Shell cwd was reset to /workspace

[stdout]
Stage 1 (title + bottom line) saved
[stderr]

Shell cwd was reset to /workspace
[metadata]
noOutputExpected: false

145Good, the base structure works. Now let me add the remaining sections: cluster assortment table, proposal changes, econo…275k
Good, the base structure works. Now let me add the remaining sections: cluster assortment table, proposal changes, economics, execution risks.

146Edit1

Tool execution only — no assistant text

Edit/tmp/analysis/build_memo.py (+replace_all, old_string, new_string)13k chars

Arguments

replace_all

false

file_path

/tmp/analysis/build_memo.py

old_string

doc.save("/workspace/output/grab_go_reset_memo.docx")
print("Stage 1 (title + bottom line) saved")

new_string

# ================= REVISED CLUSTER ASSORTMENT =================
add_heading(doc, "Revised cluster-level assortment", level=1)
add_para(doc, "Facing counts are final for the first 4 weeks. Tray-slot usage accounts for each item's actual tray "
               "footprint (some items use 1.5 slots/facing), not just facing counts.", size=9.5, italic=True, color=GREY)

cluster_rows = [
 ("Metr

… 2,235 more characters of arguments in the raw trajectory.

Output

The file /tmp/analysis/build_memo.py has been updated successfully. (file state is current in your context — no need to Read it back)

[metadata]
filePath: /tmp/analysis/build_memo.py
oldString: |
  doc.save("/workspace/output/grab_go_reset_memo.docx")
  print("Stage 1 (title + bottom line) saved")
newString: |
  # ================= REVISED CLUSTER ASSORTMENT =================
  add_heading(doc, "Revised cluster-level assortment", level=1)
  add_para(doc, "Facing counts are final for the first 4 weeks. Tray-slot usage accounts for each item's actual tray "
                 "footprint (some items use 1.5 slots/facing), not just facing counts.", size=9.5, italic=True, color=GREY)
  
  cluster_rows = [
   ("Metro Core", "18 stores, 5 del/wk", "12.0 / 10.5 / 1.5",
    "Chicken Caesar Wrap (2), Turkey Club Sandwich (1), Southwest Chicken Bowl (1), Cobb Salad (1), "
    "Caprese Ciabatta (1, NEW – vegetarian anchor), Protein Snack Box (2, NEW), Spicy Tuna Sushi Roll (1, NEW –

… 12,170 more characters of output in the raw trajectory.

147Bash275k1

Tool execution only — no assistant text

Bashcd /tmp/analysis && python3 build_memo.py (+description)

Arguments

Test stage 2 of memo build

cd /tmp/analysis && python3 build_memo.py

Output

Stage 2 (cluster assortment) saved
Shell cwd was reset to /workspace

[stdout]
Stage 2 (cluster assortment) saved
[stderr]

Shell cwd was reset to /workspace
[metadata]
noOutputExpected: false

148Now the major proposal changes section — the highest-risk corrections with rationale.278k
Now the major proposal changes section — the highest-risk corrections with rationale.

149Edit1

Tool execution only — no assistant text

Edit/tmp/analysis/build_memo.py (+replace_all, old_string, new_string)25k chars

Arguments

replace_all

false

file_path

/tmp/analysis/build_memo.py

old_string

doc.save("/workspace/output/grab_go_reset_memo.docx")
print("Stage 2 (cluster assortment) saved")

new_string

# ================= MAJOR CHANGES =================
add_heading(doc, "Highest-risk parts of the proposal, and what changes", level=1)
add_para(doc, "Ranked by execution and financial risk. Full rationale and source data for every one of the 50 "
               "proposal lines is in the workbook's Proposal Reconciliation tab.", size=9.5, italic=True, color=GREY)

add_heading(doc, "1. The pro

… 6,624 more characters of arguments in the raw trajectory.

Output

The file /tmp/analysis/build_memo.py has been updated successfully. (file state is current in your context — no need to Read it back)

[metadata]
filePath: /tmp/analysis/build_memo.py
oldString: |
  doc.save("/workspace/output/grab_go_reset_memo.docx")
  print("Stage 2 (cluster assortment) saved")
newString: |
  # ================= MAJOR CHANGES =================
  add_heading(doc, "Highest-risk parts of the proposal, and what changes", level=1)
  add_para(doc, "Ranked by execution and financial risk. Full rationale and source data for every one of the 50 "
                 "proposal lines is in the workbook's Proposal Reconciliation tab.", size=9.5, italic=True, color=GREY)
  
  add_heading(doc, "1. The proposal doesn't fit the live case", level=2)
  add_para(doc, "The proposal was built without reconciling to tray capacity. Converting proposed facings to tray slots "
      "(each item's actual footprint per the item master, not just its facing count) shows every cluster

… 23,659 more characters of output in the raw trajectory.

150Bash278k1

Tool execution only — no assistant text

Bashcd /tmp/analysis && python3 build_memo.py (+description)

Arguments

Test stage 3 of memo build

cd /tmp/analysis && python3 build_memo.py

Output

Stage 3 (major changes) saved
Shell cwd was reset to /workspace

[stdout]
Stage 3 (major changes) saved
[stderr]

Shell cwd was reset to /workspace
[metadata]
noOutputExpected: false

152Let me fix a leftover no-op in the capacity table — I computed shading colors but never applied them.279k
Let me fix a leftover no-op in the capacity table — I computed shading colors but never applied them.

153Bash1

Tool execution only — no assistant text

Bashcd /tmp/analysis && grep -n "cap_data\|shade = \|for c in t.rows" build_memo.py (+description)

Arguments

Locate the capacity table shading code to fix

cd /tmp/analysis && grep -n "cap_data\|shade = \|for c in t.rows" build_memo.py

Output

208:cap_data = [("Metro Core","12.0","12.0","Exact fit — zero slack"),
213:for row in cap_data:
214:    shade = "FFC7CE" if "Over" in row[3] else ("FFEB9C" if "zero slack" in row[3] else None)
216:    for c in t.rows[-1].cells: pass
Shell cwd was reset to /workspace

[stdout]
208:cap_data = [("Metro Core","12.0","12.0","Exact fit — zero slack"),
213:for row in cap_data:
214:    shade = "FFC7CE" if "Over" in row[3] else ("FFEB9C" if "zero slack" in row[3] else None)
216:    for c in t.rows[-1].cells: pass
[stderr]

Shell cwd was reset to /workspace
[metadata]
noOutputExpected: false

154Read279k1

Tool execution only — no assistant text

Read/tmp/analysis/build_memo.py (+offset, limit)2k chars

Arguments

file_path: /tmp/analysis/build_memo.py
offset: 205
limit: 12

Output

205	t = doc.add_table(rows=1, cols=4)
206	t.style = 'Table Grid'
207	header_row(t, ["Cluster","Tray slots available","Proposal (slots used)","Result"], [1.7,1.5,1.5,2.0])
208	cap_data = [("Metro Core","12.0","12.0","Exact fit — zero slack"),
209	            ("Commuter Suburban","10.0","10.5","Over capacity by 0.5 slots"),
210	            ("Campus / Hospital","10.0","10.5","Over capacity by 0.5 slots"),
211	            ("Highway / Travel","8.0","8.5","Over capacity by 0.5 slots"),
212	            ("Rural North","7.0","7.5","Over capacity by 0.5 slots")]
213	for row in cap_data:
214	    shade = "FFC7CE" if "Over" in row[3] else ("FFEB9C" if "zero slack" in row[3] else None)
215	    data_row(t, row, align_center_cols=(1,2), shade=None)
216	    for c in t.rows[-1].cells: pass

[metadata]
type: text
file:
  filePath: /tmp/analysis/build_memo.py
  content: |
    t = doc.add_table(rows=1, cols=4)
    t.style = 'Table Grid'
    header_row(t, ["Cluster","Tray slots available","Proposal (s

… 733 more characters of output in the raw trajectory.

156Edit280k1

Tool execution only — no assistant text

Edit/tmp/analysis/build_memo.py (+replace_all, old_string, new_string)2k chars

Arguments

replace_all

false

file_path

/tmp/analysis/build_memo.py

old_string

for row in cap_data:
    shade = "FFC7CE" if "Over" in row[3] else ("FFEB9C" if "zero slack" in row[3] else None)
    data_row(t, row, align_center_cols=(1,2), shade=None)
    for c in t.rows[-1].cells: pass

new_string

for row in cap_data:
    shade = "FFC7CE" if "Over" in row[3] else ("FFEB9C" if "zero slack" in row[3] else None)
    data_row(t, row, align_center_cols=(1,2))
    if shade: set_cell_shading(t.rows[-1].cells[3], shade)

Output

The file /tmp/analysis/build_memo.py has been updated successfully. (file state is current in your context — no need to Read it back)

[metadata]
filePath: /tmp/analysis/build_memo.py
oldString: |
  for row in cap_data:
      shade = "FFC7CE" if "Over" in row[3] else ("FFEB9C" if "zero slack" in row[3] else None)
      data_row(t, row, align_center_cols=(1,2), shade=None)
      for c in t.rows[-1].cells: pass
newString: |
  for row in cap_data:
      shade = "FFC7CE" if "Over" in row[3] else ("FFEB9C" if "zero slack" in row[3] else None)
      data_row(t, row, align_center_cols=(1,2))
      if shade: set_cell_shading(t.rows[-1].cells[3], shade)
originalFile: null
structuredPatch:
  -
    oldStart: 212
    oldLines: 8
    newStart: 212
    newLines: 8
    lines:
      -              ("Rural North","7.0","7.5","Over capacity by 0.5 slots")]
      -  for row in cap_data:
      -      shade = "FFC7CE" if "Over" in row[3] else ("FFEB9C" if "zero slack" in row[3] else None)

… 629 more characters of output in the raw trajectory.

157Now let's add the economics section and execution risks, then finalize.282k
Now let's add the economics section and execution risks, then finalize.

158Edit1

Tool execution only — no assistant text

Edit/tmp/analysis/build_memo.py (+replace_all, old_string, new_string)10k chars

Arguments

replace_all

false

file_path

/tmp/analysis/build_memo.py

old_string

doc.save("/workspace/output/grab_go_reset_memo.docx")
print("Stage 3 (major changes) saved")

new_string

# ================= ECONOMICS =================
add_heading(doc, "Supporting economics", level=1)
add_para(doc, "Chainwide weekly shrink-adjusted net contribution (gross margin less waste cost net of signed vendor "
    "waste credits), summed across all included cluster/item lines:")
t = doc.add_table(rows=1, cols=2)
t.style = 'Table Grid'
header_row(t, ["Scenario","Chainwide $/week"], [4.2

… 4,240 more characters of arguments in the raw trajectory.

Output

The file /tmp/analysis/build_memo.py has been updated successfully. (file state is current in your context — no need to Read it back)

[metadata]
filePath: /tmp/analysis/build_memo.py
oldString: |
  doc.save("/workspace/output/grab_go_reset_memo.docx")
  print("Stage 3 (major changes) saved")
newString: |
  # ================= ECONOMICS =================
  add_heading(doc, "Supporting economics", level=1)
  add_para(doc, "Chainwide weekly shrink-adjusted net contribution (gross margin less waste cost net of signed vendor "
      "waste credits), summed across all included cluster/item lines:")
  t = doc.add_table(rows=1, cols=2)
  t.style = 'Table Grid'
  header_row(t, ["Scenario","Chainwide $/week"], [4.2,2.0])
  data_row(t, ["Buyer proposal as submitted (before capacity/contract fixes)","$6,768"], align_center_cols=(1,))
  data_row(t, ["Recommended plan (fits capacity + signed terms)","$6,655"], align_center_cols=(1,))
  data_row(t, ["Delta","($112) / -1.7%"], b

… 9,071 more characters of output in the raw trajectory.

159Bash282k1

Tool execution only — no assistant text

Bashcd /tmp/analysis && python3 build_memo.py (+description)

Arguments

Build the complete memo

cd /tmp/analysis && python3 build_memo.py

Output

Stage 4 (economics + risks) saved — memo complete
Shell cwd was reset to /workspace

[stdout]
Stage 4 (economics + risks) saved — memo complete
[stderr]

Shell cwd was reset to /workspace
[metadata]
noOutputExpected: false

161Let me validate the docx structurally, then render it to check visual quality.282k
Let me validate the docx structurally, then render it to check visual quality.

162Bash1

Tool execution only — no assistant text

Bashfind / -iname "validate.py" 2>/dev/null | grep -i docx (+description)

Arguments

Locate the docx skill validate.py

find / -iname "validate.py" 2>/dev/null | grep -i docx

Output

/harbor/skills/docx/scripts/office/validate.py
/logs/agent/sessions/skills/docx/scripts/office/validate.py

[stdout]
/harbor/skills/docx/scripts/office/validate.py
/logs/agent/sessions/skills/docx/scripts/office/validate.py
[metadata]
noOutputExpected: false

163Bash283k1

Tool execution only — no assistant text

Bashcd /workspace/output && python3 /logs/agent/sessions/skills/docx/scripts/office/validate.py grab_go_reset_memo.docx (+description)

Arguments

Validate the memo docx structure

cd /workspace/output && python3 /logs/agent/sessions/skills/docx/scripts/office/validate.py grab_go_reset_memo.docx

Output

Exit code 1

FAILED - Found NEW validation errors:
  word/document.xml: 2 new error(s)
    - Element '{http://schemas.openxmlformats.org/wordprocessingml/2006/main}shd': This element is not expected. Expected is one of ( {http://schemas.openxmlformats.org/wordprocessingml/2006/main}ind, {http://schemas.openxmlformats.org/wordprocessingml/200...
    - Element '{http://schemas.openxmlformats.org/wordprocessingml/2006/main}tcBorders': This element is not expected. Expected is one of ( {http://schemas.openxmlformats.org/wordprocessingml/2006/main}noWrap, {http://schemas.openxmlformats.org/wordprocess...
  word/settings.xml: 1 new error(s)
    - Element '{http://schemas.openxmlformats.org/wordprocessingml/2006/main}zoom': The attribute '{http://schemas.openxmlformats.org/wordprocessingml/2006/main}percent' is required but missing.

Paragraphs: 0 → 119 (+119)

[error] tool reported failure

165I have OOXML schema-ordering violations in my custom shading/border XML. Let me fix the element ordering (tcBorders must…286k
I have OOXML schema-ordering violations in my custom shading/border XML. Let me fix the element ordering (tcBorders must precede shd in tcPr; shd must precede spacing in pPr), and check whether the settings.xml zoom issue is pre-existing.

166Bash1

Tool execution only — no assistant text

Bashcd /tmp/analysis && python3 -c " import docx from docx import Document d = Document() d.add_paragraph('test') d.save('/tmp/analysis/blank_test.docx') " && python3 /logs/agent/sessions/skills/docx/scripts/office/validate.py /tmp/analysis/blank_test.docx (+description)

Arguments

Check if the zoom-percent issue is a pre-existing python-docx baseline quirk

cd /tmp/analysis && python3 -c "
import docx
from docx import Document
d = Document()
d.add_paragraph('test')
d.save('/tmp/analysis/blank_test.docx')
" && python3 /logs/agent/sessions/skills/docx/scripts/office/validate.py /tmp/analysis/blank_test.docx

Output

Exit code 1

FAILED - Found NEW validation errors:
  word/settings.xml: 1 new error(s)
    - Element '{http://schemas.openxmlformats.org/wordprocessingml/2006/main}zoom': The attribute '{http://schemas.openxmlformats.org/wordprocessingml/2006/main}percent' is required but missing.

Paragraphs: 0 → 1 (+1)

[error] tool reported failure

168Edit288k1

Tool execution only — no assistant text

Edit/tmp/analysis/build_memo.py (+replace_all, old_string)6k chars

Arguments

replace_all

false

file_path

/tmp/analysis/build_memo.py

old_string

def set_cell_shading(cell, color_hex):
    tcPr = cell._tc.get_or_add_tcPr()
    shd = OxmlElement('w:shd')
    shd.set(qn('w:val'), 'clear')
    shd.set(qn('w:color'), 'auto')
    shd.set(qn('w:fill'), color_hex)
    tcPr.append(shd)

def set_cell_borders(cell, color="BFBFBF", sz=4):
    tcPr = cell._tc.get_or_add_tcPr()
    borders = OxmlElement('w:tcBorders')
    for edge in ('top','left','bottom','right'):
        el = OxmlElement(f'w:{edge}')
        el.set(qn('w:val'), 'single')
        el.set(qn

… 2,614 more characters of arguments in the raw trajectory.

Output

The file /tmp/analysis/build_memo.py has been updated successfully. (file state is current in your context — no need to Read it back)

[metadata]
filePath: /tmp/analysis/build_memo.py
oldString: |
  def set_cell_shading(cell, color_hex):
      tcPr = cell._tc.get_or_add_tcPr()
      shd = OxmlElement('w:shd')
      shd.set(qn('w:val'), 'clear')
      shd.set(qn('w:color'), 'auto')
      shd.set(qn('w:fill'), color_hex)
      tcPr.append(shd)
  
  def set_cell_borders(cell, color="BFBFBF", sz=4):
      tcPr = cell._tc.get_or_add_tcPr()
      borders = OxmlElement('w:tcBorders')
      for edge in ('top','left','bottom','right'):
          el = OxmlElement(f'w:{edge}')
          el.set(qn('w:val'), 'single')
          el.set(qn('w:sz'), str(sz))
          el.set(qn('w:color'), color)
          borders.append(el)
      tcPr.append(borders)
  
  def shade_paragraph(paragraph, color_hex):
      pPr = paragraph._p.get_or_add_pPr()
      shd = OxmlElement('w:shd')
      shd.set(qn('w:val'), 'clear')
      shd

… 5,051 more characters of output in the raw trajectory.

170Bash288k1

Tool execution only — no assistant text

Bashcd /tmp/analysis && python3 -c " import zipfile z = zipfile.ZipFile('blank_test.docx') print(z.read('word/settings.xml').decode()[:500]) " (+description)1k chars

Arguments

Inspect the zoom element in settings.xml

cd /tmp/analysis && python3 -c "
import zipfile
z = zipfile.ZipFile('blank_test.docx')
print(z.read('word/settings.xml').decode()[:500])
"

Output

<?xml version='1.0' encoding='UTF-8' standalone='yes'?>
<w:settings xmlns:mc="http://schemas.openxmlformats.org/markup-compatibility/2006" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:r="http://schemas.openxmlformats.org/officeDocument/2006/relationships" xmlns:m="http://schemas.openxmlformats.org/officeDocument/2006/math" xmlns:v="urn:schemas-microsoft-com:vml" xmlns:w10="urn:schemas-microsoft-com:office:word" xmlns:w="http://schemas.openxmlformats.org/wordprocessingml/2006/main" xml
Shell cwd was reset to /workspace

[stdout]
<?xml version='1.0' encoding='UTF-8' standalone='yes'?>
<w:settings xmlns:mc="http://schemas.openxmlformats.org/markup-compatibility/2006" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:r="http://schemas.openxmlformats.org/officeDocument/2006/relationships" xmlns:m="http://schemas.openxmlformats.org/officeDocument/2006/math" xmlns:v="urn:schemas-microsoft-com:vml" xmlns:w10="urn:schemas-microsoft-com:office:word" xmlns:w="http://schemas.openx

… 128 more characters of output in the raw trajectory.

172Bash289k1

Tool execution only — no assistant text

Bashcd /tmp/analysis && python3 -c " import zipfile, re z = zipfile.ZipFile('blank_test.docx') xml = z.read('word/settings.xml').decode() m = re.search(r'<w:zoom[^/]*/?>', xml) print(m.group(0) if m else 'not found') " (+description)

Arguments

Find the exact zoom element markup

cd /tmp/analysis && python3 -c "
import zipfile, re
z = zipfile.ZipFile('blank_test.docx')
xml = z.read('word/settings.xml').decode()
m = re.search(r'<w:zoom[^/]*/?>', xml)
print(m.group(0) if m else 'not found')
"

Output

<w:zoom w:val="bestFit"/>
Shell cwd was reset to /workspace

[stdout]
<w:zoom w:val="bestFit"/>
[stderr]

Shell cwd was reset to /workspace
[metadata]
noOutputExpected: false

174Edit290k1

Tool execution only — no assistant text

Edit/tmp/analysis/build_memo.py (+replace_all, old_string, new_string)2k chars

Arguments

replace_all

false

file_path

/tmp/analysis/build_memo.py

old_string

doc.save("/workspace/output/grab_go_reset_memo.docx")
print("Stage 4 (economics + risks) saved — memo complete")

new_string

OUT_PATH = "/workspace/output/grab_go_reset_memo.docx"
doc.save(OUT_PATH)

# ---- Fix known python-docx quirk: <w:zoom> missing required w:percent attribute ----
import zipfile, shutil, re
tmp_path = OUT_PATH + ".tmp"
with zipfile.ZipFile(OUT_PATH, 'r') as zin, zipfile.ZipFile(tmp_path, 'w', zipfile.ZIP_DEFLATED) as zout:
    for item in zin.infolist():
        data = zin.rea

… 407 more characters of arguments in the raw trajectory.

Output

The file /tmp/analysis/build_memo.py has been updated successfully. (file state is current in your context — no need to Read it back)

[metadata]
filePath: /tmp/analysis/build_memo.py
oldString: |
  doc.save("/workspace/output/grab_go_reset_memo.docx")
  print("Stage 4 (economics + risks) saved — memo complete")
newString: |
  OUT_PATH = "/workspace/output/grab_go_reset_memo.docx"
  doc.save(OUT_PATH)
  
  # ---- Fix known python-docx quirk: <w:zoom> missing required w:percent attribute ----
  import zipfile, shutil, re
  tmp_path = OUT_PATH + ".tmp"
  with zipfile.ZipFile(OUT_PATH, 'r') as zin, zipfile.ZipFile(tmp_path, 'w', zipfile.ZIP_DEFLATED) as zout:
      for item in zin.infolist():
          data = zin.read(item.filename)
          if item.filename == 'word/settings.xml':
              text = data.decode('utf-8')
              text = re.sub(r'<w:zoom(?![^>]*w:percent)([^/]*)/>', r'<w:zoom\1 w:percent="100"/>', text)
              data = text.encode('utf-8')
          zout.wr

… 1,461 more characters of output in the raw trajectory.

175Bash290k1

Tool execution only — no assistant text

Bashcd /tmp/analysis && python3 build_memo.py && cd /workspace/output && python3 /logs/agent/sessions/skills/docx/scripts/office/validate.py grab_go_reset_memo.docx (+description)

Arguments

Rebuild memo with fixes and validate

cd /tmp/analysis && python3 build_memo.py && cd /workspace/output && python3 /logs/agent/sessions/skills/docx/scripts/office/validate.py grab_go_reset_memo.docx

Output

Stage 4 (economics + risks) saved — memo complete, zoom quirk patched

Paragraphs: 0 → 119 (+119)
All validations PASSED!

[stdout]
Stage 4 (economics + risks) saved — memo complete, zoom quirk patched

Paragraphs: 0 → 119 (+119)
All validations PASSED!
[metadata]
noOutputExpected: false

176All validations pass. Now let's visually inspect the rendered memo.290k
All validations pass. Now let's visually inspect the rendered memo.

177Bash1

Tool execution only — no assistant text

Bashpython3 /logs/agent/sessions/skills/docx/scripts/office/soffice.py --headless --convert-to pdf grab_go_reset_memo.docx 2>&1 | tail -3 && python3 -c " from pypdf import PdfReader r = PdfReader('grab_go_reset_memo.pdf') print('Pages:', len(r.pages)) " (+description)

Arguments

Convert memo to PDF and check page count

python3 /logs/agent/sessions/skills/docx/scripts/office/soffice.py --headless --convert-to pdf grab_go_reset_memo.docx 2>&1 | tail -3 && python3 -c "
from pypdf import PdfReader
r = PdfReader('grab_go_reset_memo.pdf')
print('Pages:', len(r.pages))
"

Output

Warning: failed to launch javaldx - java may not function correctly
convert /workspace/output/grab_go_reset_memo.docx as a Writer document -> /workspace/output/grab_go_reset_memo.pdf using filter : writer_pdf_Export
Pages: 5

[stdout]
Warning: failed to launch javaldx - java may not function correctly
convert /workspace/output/grab_go_reset_memo.docx as a Writer document -> /workspace/output/grab_go_reset_memo.pdf using filter : writer_pdf_Export
Pages: 5
[metadata]
noOutputExpected: false

179Bash291k1

Tool execution only — no assistant text

Bashcd /tmp/analysis && rm -f memo*.jpg && pdftoppm -jpeg -r 120 /workspace/output/grab_go_reset_memo.pdf memo && ls memo* (+description)

Arguments

Render memo pages as images

cd /tmp/analysis && rm -f memo*.jpg && pdftoppm -jpeg -r 120 /workspace/output/grab_go_reset_memo.pdf memo && ls memo*

Output

memo-1.jpg
memo-2.jpg
memo-3.jpg
memo-4.jpg
memo-5.jpg
Shell cwd was reset to /workspace

[stdout]
memo-1.jpg
memo-2.jpg
memo-3.jpg
memo-4.jpg
memo-5.jpg
[stderr]

Shell cwd was reset to /workspace
[metadata]
noOutputExpected: false

180Read291k1

Tool execution only — no assistant text

Read/tmp/analysis/memo-1.jpg475k chars

Arguments

/tmp/analysis/memo-1.jpg

Output

type: image
source:
  type: base64
  data: 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

… 473,799 more characters of output in the raw trajectory.

181Read1

Tool execution only — no assistant text

Read/tmp/analysis/memo-2.jpg466k chars

Arguments

/tmp/analysis/memo-2.jpg

Output

type: image
source:
  type: base64
  data: 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

… 465,039 more characters of output in the raw trajectory.

183Read295k1

Tool execution only — no assistant text

Read/tmp/analysis/memo-3.jpg707k chars

Arguments

/tmp/analysis/memo-3.jpg

Output

type: image
source:
  type: base64
  data: 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

… 705,511 more characters of output in the raw trajectory.

184Read1

Tool execution only — no assistant text

Read/tmp/analysis/memo-4.jpg666k chars

Arguments

/tmp/analysis/memo-4.jpg

Output

type: image
source:
  type: base64
  data: 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

… 664,943 more characters of output in the raw trajectory.

186Read299k1

Tool execution only — no assistant text

Read/tmp/analysis/memo-5.jpg253k chars

Arguments

/tmp/analysis/memo-5.jpg

Output

type: image
source:
  type: base64
  data: 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

… 251,902 more characters of output in the raw trajectory.

188Both deliverables look clean and professional. Let me clean up the temporary inspection files and do a final verificatio…301k
Both deliverables look clean and professional. Let me clean up the temporary inspection files and do a final verification of the output directory.

189Bash1

Tool execution only — no assistant text

Bashrm -f /workspace/output/grab_go_reset_memo.pdf ls -la /workspace/output/ echo "---" python3 -c " from openpyxl import load_workbook wb = load_workbook('/workspace/output/reset_decision_workbook.xlsx') print('Workbook sheets:', wb.sheetnames) " python3 -c " import docx d = docx.Document('/workspace/output/grab_go_reset_memo.docx') print('Memo paragraphs:', len(d.paragraphs), '| tables:', len(d.tables)) " (+description)

Arguments

Clean up temp files and do final sanity check on both deliverables

rm -f /workspace/output/grab_go_reset_memo.pdf
ls -la /workspace/output/
echo "---"
python3 -c "
from openpyxl import load_workbook
wb = load_workbook('/workspace/output/reset_decision_workbook.xlsx')
print('Workbook sheets:', wb.sheetnames)
"
python3 -c "
import docx
d = docx.Document('/workspace/output/grab_go_reset_memo.docx')
print('Memo paragraphs:', len(d.paragraphs), '| tables:', len(d.tables))
"

Output

total 140
drwxr-xr-x 2 root root  4096 Aug 20 02:58 .
drwxr-xr-x 1 root root  4096 Aug 20 02:32 ..
-rw-r--r-- 1 root root 42874 Aug 20 02:57 grab_go_reset_memo.docx
-rw-r--r-- 1 root root 88563 Aug 20 02:52 reset_decision_workbook.xlsx
---
Workbook sheets: ['Summary', 'Item Master', 'Vendor Terms', 'Capacity Check', 'Weekly Raw Data', 'Item Economics', 'Proposal Reconciliation', 'Cluster Final Assortment']
Memo paragraphs: 39 | tables: 5

[stdout]
total 140
drwxr-xr-x 2 root root  4096 Aug 20 02:58 .
drwxr-xr-x 1 root root  4096 Aug 20 02:32 ..
-rw-r--r-- 1 root root 42874 Aug 20 02:57 grab_go_reset_memo.docx
-rw-r--r-- 1 root root 88563 Aug 20 02:52 reset_decision_workbook.xlsx
---
Workbook sheets: ['Summary', 'Item Master', 'Vendor Terms', 'Capacity Check', 'Weekly Raw Data', 'Item Economics', 'Proposal Reconciliation', 'Cluster Final Assortment']
Memo paragraphs: 39 | tables: 5
[metadata]
noOutputExpected: false

190Both deliverables are complete in /workspace/output/. Summary of the analysis and what's in each file: Headline finding:…302k
Both deliverables are complete in /workspace/output/. Summary of the analysis and what's in each file:

Headline finding: the buyer proposal, as submitted, doesn't fit the live case — it overflows tray capacity in 4 of 5 clusters and uses 100% of Metro Core's capacity with zero slack — before even accounting for contract and demand-data problems. Of the 50 proposal lines (10 items × 5 clusters), 39 are accepted, 2 are changed (facing counts), and 9 are rejected.

Key corrections, each tied to a specific source conflict:
- Sushi & Caprese pushed beyond signed routes — Sakura Express's daily route/credit is Metro-only ("route M-11"); rejecting the Commuter/Campus sushi adds also fixes those clusters' capacity overflow and avoids their 26–33% pilot shrink. Caprese is contractually barred from Highway/Rural.
- The Hummus→Caprese swap doesn't hold everywhere — the proposal used identical copy-pasted rationale in all 5 clusters. Data shows Caprese only wins in Metro/Campus; Commuter's own pilot shows Hummus outperforming Caprese; Highway/Rural need Hummus retained since Caprese isn't contractually available there and the handoff bars Egg Salad Croissant from being a cluster's sole vegetarian option.
- Seasonal/legacy holdovers removed — Turkey Cranberry (Highway) and Egg Salad (Rural) violate explicit handoff rules and show the weakest economics in the set.
- Facing-level risk management — Metro Sushi phased at 1 facing (not 2) pending confirmation of the M-11 store list, and to hold capacity buffer; Rural Protein Snack Box cut to 1 facing to match its lower pilot velocity and close the capacity gap.
reset_decision_workbook.xlsx (8 tabs, 3,328 formulas, zero errors, fully cross-validated against an independent analysis): Summary, Cluster Final Assortment, Proposal Reconciliation (all 50 lines), Capacity Check, Item Economics, Weekly Raw Data, Item Master, Vendor Terms.

grab_go_reset_memo.docx (5 pages): bottom line, revised cluster
… 163 more characters in the raw trajectory.

5 failure modes across 9 verifier failures

1Required Evidence Fields or Rows OmittedView on Failure Modes ↗Deliverable Completion and Structure3 failures
Description
Is the decision generally present, but the required exact identifiers, comparison rows, operational columns, governing terms, before-and-after values, or validation fields needed to verify it are absent?
Failure evidence · per affected verifier
- The cluster-SKU decision matrix is truncated partway through the clusters, so rows for the remaining clusters and SKUs are never shown.
- The workbook shows both weak SKUs removed in Metro Core but does not carry that same removal evidence through the other four clusters.
- The proposal-reconciliation content is truncated, entirely absent, or missing the required accept/reduce/reject status label even where the buyer and final values themselves are correct.
2Allocation or Selection Plan IncorrectView on Failure Modes ↗Reasoning and Computation2 failures
Description
After eligibility is established, does the artifact assign a scarce resource, facing, shelf position, assortment item, or appointment slot to the wrong recipient or produce the wrong required final set?
Failure evidence · per affected verifier
- The memo's cluster-level final facings and slot totals consistently differ from the required exact values for Metro, Highway, and Rural North.
- The workbook's final facing counts for Chicken Caesar Wrap, Southwest Chicken Bowl, and the other graded SKUs consistently differ from the required per-cluster values.
3Quantity, Cost, Capacity, or Rate Calculation WrongView on Failure Modes ↗Reasoning and Computation2 failures
Description
With the correct source rows and eligibility decisions available, is a required order quantity, excess, cost, credit, capacity, production-mix value, threshold flag, or weighted rate calculated incorrectly?
Failure evidence · per affected verifier
- The memo correctly argues for leaving some capacity open rather than force-filling weak items, but the specific Highway and Rural North open-slot numbers do not match the required 7.5/8.0 and 6.0/7.0 values.
- The workbook correctly shows live capacity and the buyer-proposal overages, but the final reconciled tray-slot totals per cluster do not match the required final values.
4Eligibility or Controlling Rule Applied IncorrectlyView on Failure Modes ↗Reasoning and Computation1 failure
Description
Does the artifact keep an option eligible, exclude a required option, or elevate an advisory rule contrary to a documented origin, certification, source-status, schedule, route, seasonality, hold, lock, or authority rule?
Failure evidence · per affected verifier
- Caprese Ciabatta and Hummus Veggie Wrap end up eligible or ineligible in the wrong clusters relative to the MET/CAM-only Caprese rule and the COM/CAM/HWY/RUR Hummus-retention rule.
5Required Rationale or Authority Statement OmittedView on Failure Modes ↗Presentation and Communication1 failure
Description
Is the underlying decision correct or substantially present, but the memo fails to state a required rule hierarchy, source-governance principle, item-specific reason, signed-term basis, or operating condition?
Failure evidence · per affected verifier
- The memo protects Chicken Caesar Wrap and gives Protein Snack Box launch space but never states the full required rationale together: OOS pressure for Caesar, and pilot performance, low waste, code date, and scan credit for Protein Snack Box.