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task_116Retail trade

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

TaxonomyRetail tradeGeneral and operations managers

All trialsClaude Sonnet 5claude-codeTrial 02

54%

Trial reward

Claude Sonnet 5Fail

Trial 02 — 2nd of 4 by reward score. This model averages 51% across 4 trials on this task.

  • 8/15Core verifiers passed
  • 10/18All verifiers passed
  • 7Core failed
  • 141Turns
  • 73Tool calls
  • $6.26Cost
  • 36.7mTime
  • 139kOutput tokens

Missed 7 of 15 core — traffic_profit, trust_hierarchy and execution and 4 more, plus 1 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 space in all clusters and says it is "accepted broadly — strong margin and low waste" with signed scan allowance, but it never identifies Chicken Caesar Wrap as a protected/additional-space priority or cites it as a core lunch traffic driver with OOS pressure. It also does not mention Protein Snack Box's long code date, so the rubric's required rationale is incomplete.

  • trust_hierarchyLLMFail
    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

    Failure mode Required Rationale or Authority Statement Omitted

    Why it failed

    The memo applies signed vendor terms and internal data correctly in specific decisions but never states the explicit trust-hierarchy principle that internal sales, waste, and inventory records govern demand over supplier or buyer claims.

    Justification

    The memo applies signed terms and rejects weak external demand claims in several places—for example, it limits Spicy Tuna Sushi Roll to Metro Core route M-11 because the signed Sakura letter controls route, waste credit, and launch commitment, and it blocks Caprese in Highway/Travel and Rural North per the signed GreenFork letter despite proposal/vendor expansion logic. However, it does not include an explicit trust-hierarchy statement that internal sales, waste, and inventory records are the governing demand signal; it only explicitly says the proposal relied on supplier traffic estimates and buyer/DM comments 'in place of internal sales data,' with no explicit inventory-record hierarchy.

  • 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 is cluster-specific and gives facings/slot tables, but it does not match the required final plan. Campus / Hospital lists Caprese 1 and Protein 2 with no Hummus, while the rubric requires Hummus 1. Rural North includes Southwest Chicken Bowl (1) and shows 6.5 / 7.0 slots, but the rubric requires zero Southwest Chicken Bowl and a 6.0-slot total. Highway / Travel shows 6.5 / 8.0 rather than the required 7.5-slot total. Because these required cluster outcomes are not all satisfied, the rubric fails.

  • workbook_structureLLMPass
    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

  • 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

    The final plan in 'Proposal Reconciliation' does not meet the required facings. Chicken Caesar Wrap (GGS-84QJ) revised facings are MET 2, COM 1, CAM 2, HWY 1, RUR 1, but the rubric requires 2 in all five clusters and explicitly fails any cluster below 2. Southwest Chicken Bowl (GGS-9PQL) is also MET 1 and RUR 1 versus expected MET 2 and RUR 0, so multiple graded values differ materially.

  • 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 Check table with live capacity, proposal slots, revised slots, buffers, and fit status, and the live capacities/proposal over-capacity cases are shown. However, the final/revised tray-slot uses do not match the rubric’s required final values: it shows MET 10.5, COM 9, CAM 9, HWY 6.5, and RUR 6.5, not the required 12.0, 10.0, 10.0, 7.5, and 6.0.

  • dropsLLMPass
    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

  • 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

    Caprese Ciabatta (GGS-3RZA) is only carried in MET and CAM and is not carried in COM, HWY, or RUR, but Hummus Veggie Wrap (GGS-5MTC) is not retained in Campus / Hospital: the CAM row shows Revised Facings = 0 and Revised Action = 'Not carried' ('Remove (swapped for Caprese)'). The rubric requires Hummus to be retained in COM, CAM, HWY, and RUR.

  • 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

  • calculationsLLMFail
    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

    Failure mode Required Evidence Fields or Rows Omitted

    Why it failed

    The workbook lacks the row-level economics fields the rubric requires, such as scan credit dollars, margin, out-of-stock rate, or net contribution.

    Justification

    The workbook is auditable on facings, sales rate, waste, OOS, GP/unit, and capacity (e.g., Proposal Reconciliation, Demand & Waste Detail, Capacity Check), but it does not include credits in the economics or show net contribution/margin-after-waste. Signed Vendor Terms lists credits ($0.35 Protein Snack Box scan allowance, 30% GreenFork shrink credit, 50% Metro Core sushi waste credit), yet SKU-cluster economics exclude them: e.g., COM Protein Snack Box weekly GP is exactly 3.875 × 3.85 = 14.91875 with no scan credit added, and MET Spicy Tuna weekly waste is 0.375 × 4.3 = 1.6125 with no 50% credit applied. So credits are omitted from economics and no explicit net contribution field is shown.

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 say unused capacity is intentional and that “empty capacity is preferable to forcing in a low-repeat item, particularly in Highway/Travel and Rural North,” but it does not provide the rubric’s required open-slot figures. Instead, it lists Highway / Travel at 6.5 / 8.0 and Rural North at 6.5 / 7.0, not 7.5 / 8.0 with 0.5 open and 6.0 / 7.0 with 1.0 open.

  • proposal_reconciliationLLMPass
    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

  • 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.docx43 KB

Prepared Foods Grab-and-Go — July Reset

Revised Recommendation for the First Four Weeks

To:

L. Moreno, Senior Merchant – Prepared Foods

From:

Category Planning

Date:

June 15, 2026

Re:

Refrigerated grab-and-go reset — revised assortment for July 13–August 9, 2026

Bottom Line

We recommend releasing a revised version of the July reset, not the buyer proposal as submitted. Of the 50 SKU-by-cluster calls in the proposal, this revision changes 12; the rest are confirmed as submitted (full item-by-item detail is in the accompanying workbook).

It does not fit the live case. It exceeds tray capacity in four of five clusters (Commuter Suburban, Campus/Hospital, Highway/Travel, and Rural North are each 0.5 tray slots over; Metro Core has zero slack at exactly 12.0 of 12.0). This is checked against today's live case only — none of it assumes the pending September lease-line trays.

It conflicts with signed vendor terms in three places (Section 1), all of which trace back to the proposal's own reliance on supplier traffic estimates and buyer/DM comments in place of internal sales data.

It would leave Highway/Travel and Rural North with no vegetarian lunch option at all, which the handoff treats as a non-negotiable rule, not a preference.

The revised plan fixes all three, fits every cluster with tray slots to spare, and still keeps most of the proposal's upside: network gross profit rises 14.9% over today ($6,077 to $6,984 per week across 84 stores) versus the proposal's 18.5% ($7,199/week) — but network waste cost falls 15.9% ($422 to $355/week) where the buyer's proposal, as submitted, would have raised network waste cost 9.4%. Taking shrink dollars out of the case was the stated purpose of this reset; as submitted, the proposal did not do that.

1. Highest-risk parts of the proposal

1.1 Two clusters would end up with no vegetarian lunch option

The proposal removes Hummus Veggie Wrap in every cluster and routes the Caprese Ciabatta trade-up into Metro Core, Commuter Suburban, Campus/Hospital, and Highway/Travel. But the signed GreenFork Kitchen letter blocks Caprese from Highway/Travel and Rural North entirely: “Highway/Travel and Rural North are not approved for Caprese route expansion under this letter… requires a new signed routing addendum.” Combined with removing Hummus and Egg Salad Croissant (the latter on weak data — see 1.4), Highway/Travel and Rural North would carry zero vegetarian items. The handoff is explicit that every cluster keeps one credible vegetarian option and that Egg Salad doesn't count toward it. Fix: reinstate Hummus Veggie Wrap in both clusters at one facing.

1.2 Sushi is proposed in two clusters the signed terms don't cover

The Sakura Express letter limits the daily route, waste credit, and service guarantee to “Metro Core stores listed on route M-11” and states outright that the Commuter and Campus pilots “were line-review tests and are not part of the signed launch commitment.” The proposal adds Spicy Tuna Sushi Roll to both anyway, citing the buyer's own comment to “use supplier traffic estimate where pilot is thin” — the one demand source the handoff rules out. It's also the weakest performer where it was tested: the Commuter pilot ran 32.5% waste and the worst gross-profit-per-tray-slot of any item in that cluster ($4.27); the Campus pilot ran 26.1% waste. Fix: reject both. Within Metro Core itself, only about half of the 18 stores were ever piloted, and the signed credit follows confirmed route M-11 stores specifically — we recommend Metro Core keep the item, but at one facing (not the proposed two) and scoped to route M-11 pending a store list from DSD ops, not rolled to the full 18-store cluster.

1.3 Highway/Travel's keep of Turkey Cranberry Sandwich conflicts with signed terms and the handoff's seasonal rule

EatWell's signed letter bars “returns or billbacks after January 31, 2026” for this winter-seasonal item, so any shrink on it is fully unfunded. Current data shows 22.4% waste on 1.1 units/store/week, and the handoff says directly: “Do not keep winter seasonal sandwiches for Q3 just to fill empty space.” Fix: remove, matching every other cluster.

1.4 Rural North's keep of Egg Salad Croissant rests on a DM's anecdote, not the data

“Regulars still ask for it” is the stated reason in the proposal. The 8-week record shows the opposite: the lowest velocity of any SKU in the cluster (0.72 units/store/week) and the highest waste rate in the cluster (24.3%). The handoff's rule is to remove legacy items “unless the data shows a current, profitable role” — it doesn't here, and it isn't needed as a vegetarian anchor once Hummus is reinstated (1.1). Fix: remove, matching every other cluster.

1.5 The facing plan wasn't reconciled to tray capacity

Four of five clusters come in at exactly the same 0.5-slot overage, which reads as a standard facing template applied without checking each cluster's actual tray count — the exact gap the handoff called out up front. See Section 4 for the full reconciliation.

2. Revised cluster-level assortment

Cluster

Final line-up (item: facings)

Vegetarian anchor

Tray slots(used / available)

Metro Core(18 stores, 5 dlv/wk)

Chicken Caesar Wrap (2); Turkey Club Sandwich (1); Southwest Chicken Bowl (1); Cobb Salad (1); Caprese Ciabatta (1); Protein Snack Box (2); Spicy Tuna Sushi Roll (1 — route M-11 stores only)

Caprese Ciabatta

10.5 / 12.0

Commuter Suburban(26 stores, 4 dlv/wk)

Chicken Caesar Wrap (1); Turkey Club Sandwich (2); Southwest Chicken Bowl (1); Hummus Veggie Wrap (1); Cobb Salad (1); Protein Snack Box (2)

Hummus Veggie Wrap

9.0 / 10.0

Campus / Hospital(11 stores, 5 dlv/wk)

Chicken Caesar Wrap (2); Turkey Club Sandwich (1); Southwest Chicken Bowl (1); Cobb Salad (1); Caprese Ciabatta (1); Protein Snack Box (2)

Caprese Ciabatta

9.0 / 10.0

Highway / Travel(15 stores, 3 dlv/wk)

Chicken Caesar Wrap (1); Turkey Club Sandwich (2); Southwest Chicken Bowl (1); Hummus Veggie Wrap (1); Protein Snack Box (1)

Hummus Veggie Wrap

6.5 / 8.0

Rural North(14 stores, 2 dlv/wk)

Chicken Caesar Wrap (1); Turkey Club Sandwich (2); Southwest Chicken Bowl (1); Hummus Veggie Wrap (1); Protein Snack Box (1)

Hummus Veggie Wrap

6.5 / 7.0

Removed everywhere: Egg Salad Croissant; Turkey Cranberry Sandwich.

Not carried this cycle: Spicy Tuna Sushi Roll (Commuter Suburban, Campus/Hospital — no signed route or credit); Caprese Ciabatta (Commuter Suburban — data doesn't support it; Highway/Travel and Rural North — signed route is blocked).

Key changes from the proposal, by theme

Vegetarian assortment: a selective swap, not a blanket one. Caprese replaces Hummus where the pilot data favors it (Metro Core, Campus/Hospital); Hummus stays where the data favors it instead (Commuter Suburban) or where Caprese's route is blocked outright (Highway/Travel, Rural North).

Spicy Tuna Sushi Roll: scoped to the one cluster and route the signed terms actually cover, at a facing count the pilot data — not the supplier estimate — supports.

Legacy/seasonal cleanup: Egg Salad Croissant and Turkey Cranberry Sandwich are fully out, network-wide. The proposal's own partial keeps (Rural North; Highway/Travel) don't hold up against the data or the signed terms.

Protein Snack Box: accepted broadly — strong margin and low waste everywhere it was piloted — but trimmed from two facings to one in Highway/Travel and Rural North, where its own pilot velocity runs below items the cluster already carries at a single facing.

Cobb Salad removal in Highway/Travel and Rural North: confirmed as proposed. The data backs this call (low velocity, high waste in both clusters) — one part of the proposal that didn't need a change.

3. Supporting economics

Gross profit and waste cost per store per week, current case vs. proposal vs. revised plan:

Cluster

GP $/store/wkCurrent

GP $/store/wkProposal

GP $/store/wkRevised

Waste $/store/wkCurrent

Waste $/store/wkProposal

Waste $/store/wkRevised

Metro Core

$80.64

$112.85

$112.85

$4.92

$5.86

$5.86

Commuter Suburban

$77.61

$90.95

$85.16

$4.91

$6.75

$3.88

Campus / Hospital

$88.84

$116.79

$104.70

$5.21

$7.63

$4.40

Highway / Travel

$62.68

$59.64

$61.33

$5.13

$3.50

$3.36

Rural North

$49.32

$44.55

$47.67

$5.11

$3.16

$3.56

NETWORK TOTAL — weekly $ (84 stores)

$6,077

$7,199

$6,984

$422

$462

$355

Commuter Suburban and Campus/Hospital show the biggest gap between the proposal's claimed GP and the revised figure — both lose their Sushi contribution, and Commuter also loses the Caprese swap the data doesn't support. Even so, both clusters still gain gross profit over today (+9.7% Commuter Suburban, +17.8% Campus/Hospital) while cutting waste roughly in half versus the proposal (about -42%). Highway/Travel and Rural North actually beat the proposal's own gross-profit figure (+2.8% and +7.0% respectively) once Hummus is reinstated, because it outperforms the items it would otherwise have displaced there.

Rural North is the one cluster where the vegetarian-anchor fix costs a little on waste versus the buyer's plan — about $0.40/store/week, since reinstated Hummus (18.1% waste rate in this cluster) runs a bit higher shrink than the Egg Salad Croissant it replaces. That's the deliberate cost of a mandatory-rule fix, not an error, and the cluster still nets more gross profit than the proposal even after absorbing it.

4. Capacity reconciliation

Live tray-slot capacity vs. the slots the proposal actually requires vs. the revised plan:

Cluster

Tray slotsavailable (live)

Proposalrequired

Proposalfit

Revisedrequired

Revisedbuffer

Metro Core

12.0

12.0

Fits — zero slack

10.5

1.5

Commuter Suburban

10.0

10.5

Over by 0.5

9.0

1.0

Campus / Hospital

10.0

10.5

Over by 0.5

9.0

1.0

Highway / Travel

8.0

8.5

Over by 0.5

6.5

1.5

Rural North

7.0

7.5

Over by 0.5

6.5

0.5

No facing anywhere is partial — every carried item holds a full facing, consistent with the handoff rule against using partial facings to solve a capacity problem. The buffer left in each cluster is intentional reserve, not an oversight: per the handoff, empty capacity is preferable to forcing in a low-repeat item, particularly in Highway/Travel and Rural North. None of this relies on the pending September lease-line trays.

5. Execution risks and pre-launch action items

Confirm the Sakura Express route M-11 store list within Metro Core before store-level distribution ships. Only those stores should receive Spicy Tuna Sushi Roll and its waste credit; non-M-11 Metro Core stores should not receive the item this cycle.

GreenFork's Caprese scan allowance (capped at 5,500 units) and Urban Spoon's Protein Snack Box scan allowance (capped at 8,000 units over six weeks) are both well under cap at the revised facings and pilot-run sales rates — no near-term risk, but worth a mid-reset check if either item carries past week four.

The Rural North waste increase noted in Section 3 (about $0.40/store/week versus the buyer's plan) is a deliberate trade-off for mandatory vegetarian-anchor compliance and net GP gain — flagging it here so it isn't misread as a miss in the first four-week read.

Caprese Ciabatta, Protein Snack Box, and Metro Core's Sushi facing were each piloted in a subset of stores, never the full cluster. Recommend a week-4 read against actuals before deciding whether to extend any facing to the balance of a cluster's stores.

Full item-by-item detail, cluster capacity math, item economics, and condensed signed-vendor terms are in the accompanying workbook, reset_decision_workbook.xlsx.

User prompt → 141 turns · 73 tool calls → final responseclaude-code

97 of 141 turns are kept here; the rest were cut to fit the trajectory's byte budget, and each cut is marked where it fell.

  1. 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.

  2. 3Bash32k1

    Tool execution only — no assistant text

    Bashfind /workspace -maxdepth 4 -not -path '*/node_modules/*' | sort (+description)

    Arguments

    List workspace contents to locate attached materials

    find /workspace -maxdepth 4 -not -path '*/node_modules/*' | sort

    Output

    /workspace
/workspace/data
/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
/workspace/data
/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
  3. 5I'll start by reviewing all the attached materials, beginning with the merchant handoff (authoritative for business rule…33k

    I'll start by reviewing all the attached materials, beginning with the merchant handoff (authoritative for business rules).

  4. 6user{"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 */] }

    … 18,094 more characters in the raw trajectory.

  5. 7Skill1

    Tool execution only — no assistant text

    Skilldocx

    Arguments

    docx

    Output

    Launching skill: docx

[metadata]
success: true
commandName: docx
  6. 8Bash1

    Tool execution only — no assistant text

    Bashcat /workspace/data/buyer_reset_proposal.csv (+description)11k chars

    Arguments

    View buyer reset proposal CSV

    cat /workspace/data/buyer_reset_proposal.csv

    Output

    proposal_date,cluster_code,cluster_name,sku,item,proposed_action,proposed_facings,buyer_comment,supplier_projection_units_per_store_week
2026-06-12,MET,Metro Core,GGS-84QJ,Chicken Caesar Wrap,Keep,2,,
2026-06-12,MET,Metro Core,GGS-2VWK,Turkey Club Sandwich,Keep,1,,
2026-06-12,MET,Metro Core,GGS-9PQL,Southwest Chicken Bowl,Keep,1,,
2026-06-12,MET,Metro Core,GGS-5MTC,Hummus Veggie Wrap,Remove,0,Buyer proposal removes this to make room for the Caprese launch.,
2026-06-12,MET,Metro Core,GGS-7DNL,Cobb Salad,Keep,1,,
2026-06-12,MET,Metro Core,GGS-1KFV,Egg Salad Croissant,Remove,0,Rural DM says some regulars still ask for it.,
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.,
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
2026-06-12,MET,Metro Core,GGS-6BGH,Protein Snack Box,Add,2,Merchant liked long code date and grab-

    … 10,302 more characters of output in the raw trajectory.

  7. 9Bash1

    Tool execution only — no assistant text

    Bashcat /workspace/data/item_master_unit_economics.csv (+description)3k chars

    Arguments

    View item master unit economics CSV

    cat /workspace/data/item_master_unit_economics.csv

    Output

    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
GGS-84QJ,Chicken Caesar Wrap,Current,EatWell Foods,Core wrap,Meat,3,12,1.0,5.99,2.38,1,2024-03-18,Yes
GGS-2VWK,Turkey Club Sandwich,Current,EatWell Foods,Core sandwich,Meat,3,10,1.0,6.49,2.64,1,2023-08-07,Yes
GGS-9PQL,Southwest Chicken Bowl,Current,Urban Spoon,Bowl meal,Meat,3,8,1.5,7.99,3.45,1,2024-09-09,Yes
GGS-5MTC,Hummus Veggie Wrap,Current,GreenFork Kitchen,Vegetarian lunch,Vegetarian,2,8,1.0,6.29,2.75,1,2023-05-01,No
GGS-7DNL,Cobb Salad,Current,FreshPack Deli,Salad meal,Meat,3,6,1.5,8.49,3.72,1,2024-01-22,No
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
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
GGS-3RZA,Caprese Ciabatta,Candidate,GreenFork Kitchen,Vegetarian lunc

    … 1,628 more characters of output in the raw trajectory.

  8. 10Bash1

    Tool execution only — no assistant text

    Bashcat /workspace/data/store_cluster_capacity.csv (+description)2k chars

    Arguments

    View store cluster capacity CSV

    cat /workspace/data/store_cluster_capacity.csv

    Output

    cluster_code,cluster_name,store_count,deliveries_per_week,tray_slots_available,extra_tray_project,notes
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.
COM,Commuter Suburban,26,4,10.0,No incremental tray capacity this reset,Office parks and commuter corridors; strongest weekday lunch.
CAM,Campus / Hospital,11,5,10.0,No incremental tray capacity this reset,Late lunch and evening snack missions; meatless options over-index.
HWY,Highway / Travel,15,3,8.0,No incremental tray capacity this reset,Fewer delivery touches; travel purchase pattern favors familiar sandwiches.
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.

[stdout]
cluster_code,cluster_name,store_count,deliveries_per_week,tray_slots_available,extra_tray_project,notes
MET,Metro Core,18,5,12.0,Pending September lease-line

    … 712 more characters of output in the raw trajectory.

  9. 11Bash1

    Tool execution only — no assistant text

    Bashcat /workspace/data/weekly_pos_inventory_waste.csv (+description)32k chars

    Arguments

    View weekly POS inventory waste CSV

    cat /workspace/data/weekly_pos_inventory_waste.csv

    Output

    <persisted-output>
Output too large (32.8KB). Full output saved to: /logs/agent/sessions/projects/-workspace/4d39eea3-8259-4ac0-8d90-1ac10a30f231/tool-results/bm2h7sse6.txt

Preview (first 2KB):
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
2026-04-06,MET,Metro Core,GGS-84QJ,Chicken Caesar Wrap,Current set,18,99,5,5.2,102,26
2026-04-13,MET,Metro Core,GGS-84QJ,Chicken Caesar Wrap,Current set,18,98,5,5.3,107,30
2026-04-20,MET,Metro Core,GGS-84QJ,Chicken Caesar Wrap,Current set,18,97,5,6.7,105,33
2026-04-27,MET,Metro Core,GGS-84QJ,Chicken Caesar Wrap,Current set,18,108,5,3.0,113,33
2026-05-04,MET,Metro Core,GGS-84QJ,Chicken Caesar Wrap,Current set,18,88,5,2.4,93,33
2026-05-11,MET,Metro Core,GGS-84QJ,Chicken Caesar Wrap,Current set,18,92,5,5.2,99,35
2026-05-18,MET,Metro Core,GGS-84QJ,Chicken Caesar Wrap,Current set,18,96,5,4.7,103,37
2026-05-25,MET,Metro Core,GGS-84QJ,Chicken Cae

    … 31,408 more characters of output in the raw trajectory.

  10. 13Bash47k1

    Tool execution only — no assistant text

    Bashwc -l /workspace/data/weekly_pos_inventory_waste.csv && echo "---" && cut -d',' -f2,4,5 /workspace/data/weekly_pos_inventory_waste.csv | sort -u | head -60 (+description)3k chars

    Arguments

    Check row count and unique cluster/item combos in waste file

    wc -l /workspace/data/weekly_pos_inventory_waste.csv && echo "---" && cut -d',' -f2,4,5 /workspace/data/weekly_pos_inventory_waste.csv | sort -u | head -60

    Output

    369 /workspace/data/weekly_pos_inventory_waste.csv
---
CAM,GGS-1KFV,Egg Salad Croissant
CAM,GGS-2VWK,Turkey Club Sandwich
CAM,GGS-3RZA,Caprese Ciabatta
CAM,GGS-4HBP,Turkey Cranberry Sandwich
CAM,GGS-5MTC,Hummus Veggie Wrap
CAM,GGS-6BGH,Protein Snack Box
CAM,GGS-7DNL,Cobb Salad
CAM,GGS-84QJ,Chicken Caesar Wrap
CAM,GGS-8XUY,Spicy Tuna Sushi Roll
CAM,GGS-9PQL,Southwest Chicken Bowl
COM,GGS-1KFV,Egg Salad Croissant
COM,GGS-2VWK,Turkey Club Sandwich
COM,GGS-3RZA,Caprese Ciabatta
COM,GGS-4HBP,Turkey Cranberry Sandwich
COM,GGS-5MTC,Hummus Veggie Wrap
COM,GGS-6BGH,Protein Snack Box
COM,GGS-7DNL,Cobb Salad
COM,GGS-84QJ,Chicken Caesar Wrap
COM,GGS-8XUY,Spicy Tuna Sushi Roll
COM,GGS-9PQL,Southwest Chicken Bowl
HWY,GGS-1KFV,Egg Salad Croissant
HWY,GGS-2VWK,Turkey Club Sandwich
HWY,GGS-4HBP,Turkey Cranberry Sandwich
HWY,GGS-5MTC,Hummus Veggie Wrap
HWY,GGS-6BGH,Protein Snack Box
HWY,GGS-7DNL,Cobb Salad
HWY,GGS-84QJ,Chicken Caesar Wrap
HWY,GGS-9PQL,Southwest Chicken Bowl
MET,GGS-1KFV,Egg Salad Croiss

    … 2,212 more characters of output in the raw trajectory.

  11. 14Bash1

    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/ 2>&1 | tail -20 (+description)

    Arguments

    Unpack the merchant handoff docx for reading

    cd /workspace/data && python3 /logs/agent/sessions/skills/docx/scripts/office/unpack.py merchant_handoff_prepared_foods.docx /tmp/handoff_unpacked/ 2>&1 | tail -20

    Output

    Unpacked merchant_handoff_prepared_foods.docx (16 XML files), simplified 0 tracked changes, merged 0 runs

[stdout]
Unpacked merchant_handoff_prepared_foods.docx (16 XML files), simplified 0 tracked changes, merged 0 runs
[metadata]
noOutputExpected: false
  12. 15Bash1

    Tool execution only — no assistant text

    Bashcd /workspace/data && pandoc signed_vendor_offer_letters.pdf -o /tmp/vendor_letters.md 2>&1; echo "---pandoc exit $?---"; ls -la /tmp/vendor_letters.md 2>/dev/null (+description)

    Arguments

    Try converting vendor offer letters PDF to markdown

    cd /workspace/data && pandoc signed_vendor_offer_letters.pdf -o /tmp/vendor_letters.md 2>&1; echo "---pandoc exit $?---"; ls -la /tmp/vendor_letters.md 2>/dev/null

    Output

    Exit code 2
/bin/bash: line 1: pandoc: command not found
---pandoc exit 127---

[error] tool reported failure
  13. 17Read49k1

    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.

  14. 18user{"type": "text", "text": "Base directory for this skill: /logs/agent/sessions/skills/pdf\n\n# PDF Processing Guide\n\n##…

    {"type": "text", "text": "Base directory for this skill: /logs/agent/sessions/skills/pdf\n\n# PDF Processing Guide\n\n## Overview\n\nThis guide covers essential PDF processing operations using Python libraries and command-line tools. For advanced features, JavaScript libraries, and detailed examples, see REFERENCE.md. If you need to fill out a PDF form, read FORMS.md and follow its instructions.\n\n## Quick Start\n\npython\nfrom pypdf import PdfReader, PdfWriter\n\n# Read a PDF\nreader = PdfReader(\"document.pdf\")\nprint(f\"Pages: {len(reader.pages)}\")\n\n# Extract text\ntext = \"\"\nfor page in reader.pages:\n text += page.extract_text()\n\n\n## Python Libraries\n\n### pypdf - Basic Operations\n\n#### Merge PDFs\npython\nfrom pypdf import PdfWriter, PdfReader\n\nwriter = PdfWriter()\nfor pdf_file in [\"doc1.pdf\", \"doc2.pdf\", \"doc3.pdf\"]:\n reader = PdfReader(pdf_file)\n for page in reader.pages:\n writer.add_page(page)\n\nwith open(\"merged.pdf\", \"wb\") as output:\n writer.write(output)\n\n\n#### Split PDF\npython\nreader = PdfReader(\"input.pdf\")\nfor i, page in enumerate(reader.pages):\n writer = PdfWriter()\n writer.add_page(page)\n with open(f\"page_{i+1}.pdf\", \"wb\") as output:\n writer.write(output)\n\n\n#### Extract Metadata\npython\nreader = PdfReader(\"document.pdf\")\nmeta = reader.metadata\nprint(f\"Title: {meta.title}\")\nprint(f\"Author: {meta.author}\")\nprint(f\"Subject: {meta.subject}\")\nprint(f\"Creator: {meta.creator}\")\n\n\n#### Rotate Pages\npython\nreader = PdfReader(\"input.pdf\")\nwriter = PdfWriter()\n\npage = reader.pages[0]\npage.rotate(90) # Rotate 90 degrees clockwise\nwriter.add_page(page)\n\nwith open(\"rotated.pdf\", \"wb\") as output:\n writer.write(output)\n\n\n### pdfplumber - Text and Table Extraction\n\n#### Extract Text with Layout\n```python\nimport pdfplumber\n\nwith pdfplumber.open("document.pdf") as pdf:\n for page in pdf.pages:\n

    … 6,009 more characters in the raw trajectory.

  15. 19Skill1

    Tool execution only — no assistant text

    Skillpdf

    Arguments

    pdf

    Output

    Launching skill: pdf

[metadata]
success: true
commandName: pdf
  16. 21Bash76k1

    Tool execution only — no assistant text

    Bashcd /tmp && python3 -c " from pypdf import PdfReader reader = PdfReader('/workspace/data/signed_vendor_offer_letters.pdf') print('Pages:', len(reader.pages)) for i, page in enumerate(reader.pages): print(f'--- PAGE {i+1} ---') print(page.extract_text()) " (+description)5k chars

    Arguments

    Extract text from signed vendor offer letters PDF

    cd /tmp && python3 -c "
from pypdf import PdfReader
reader = PdfReader('/workspace/data/signed_vendor_offer_letters.pdf')
print('Pages:', len(reader.pages))
for i, page in enumerate(reader.pages):
    print(f'--- PAGE {i+1} ---')
    print(page.extract_text())
"

    Output

    Pages: 2
--- PAGE 1 ---
Signed Vendor Offer Letters - Prepared Foods Q3 2026
Blue Mesa Market internal copy. These are the signed terms that supersede informal proposal notes.
GreenFork Kitchen
Signed June 5, 2026 by M. Patel, GreenFork Kitchen
Term
Signed language
Covered items
GGS-5MTC Hummus Veggie Wrap; GGS-3RZA Caprese Ciabatta
Launch support
$0.40 per scanned unit on GGS-3RZA receipts dated July 13-August 9, capped at 5,500 scanned units.
Shrink credit
30% credit on documented waste units for covered GreenFork items only in stores receiving GreenFork delivery at
least four days per week.
Route limits
Highway / Travel and Rural North are not approved for Caprese route expansion under this letter. Future expansion
requires a new signed routing addendum.
Service note
GreenFork products carry a two-day code at store receipt.
Urban Spoon
Signed June 6, 2026 by T. Nguyen, Urban Spoon
Term
Signed language
Covered items
GGS-9PQL Southwest Chicken Bowl; GGS-6BGH Protein Snack Box
Launch s

    … 4,462 more characters of output in the raw trajectory.

  17. 22Bash1

    Tool execution only — no assistant text

    Bashcat /tmp/handoff_unpacked/word/document.xml | grep -o '<w:t[^>]*>[^<]*</w:t>' | sed -E 's/<w:t[^>]*>//; s/<\/w:t>//' (+description)7k chars

    Arguments

    Extract plain text from merchant handoff document.xml

    cat /tmp/handoff_unpacked/word/document.xml | grep -o '<w:t[^>]*>[^<]*</w:t>' | sed -E 's/<w:t[^>]*>//; s/<\/w:t>//'

    Output

    Prepared Foods Reset Handoff
Blue Mesa Market - Q3 2026 refrigerated grab-and-go case
From: L. Moreno, Senior Merchant - Prepared Foods
To: Category Planning / Space Planning
Date: June 10, 2026
Context: The July reset has to protect lunch traffic while taking shrink dollars out of the case. The buyer proposal was assembled after vendor line reviews, but it has not been reconciled to current tray capacity, delivery cadence, or the signed trade terms. Stores are already flagging that the case is hard to recover after the noon rush, so the final call needs to be operationally boring even if the vendor story is exciting.
Decision rules for this reset
Fit the first four weeks of the July reset into the live refrigerated case. Do not assume the September lease-line change, extra trays, or extra driver stops will materialize.
Treat internal sales, waste, and inventory records as the demand signal. Supplier projections in the proposal are not an accepted demand source for this call.
Signed of

    … 5,624 more characters of output in the raw trajectory.

  18. 24Now I have all four source files digested. Let me run the quantitative analysis — per-cluster/item demand, waste, and a…108k

    Now I have all four source files digested. Let me run the quantitative analysis — per-cluster/item demand, waste, and a tray-capacity reconciliation — before drafting the recommendation.

  19. 25Bash1

    Tool execution only — no assistant text

    Bashmkdir -p /workspace/output /tmp/analysis && cat > /tmp/analysis/build.py << 'PYEOF' import pandas as pd pd.set_option('display.width', 200) pd.set_option('display.max_columns', 20) waste = pd.read_csv('/workspace/data/weekly_pos_inventory_waste.csv') items = pd.read_csv('/workspace/data/item_master_unit_economics.csv') cap = pd.read_csv('/workspace/data/store_cluster_capacity.csv') prop = pd.read_csv('/workspace/data/buyer_reset_proposal.csv') # ---- 1. Per cluster-item demand/waste summary (8-week window) ---- g = waste.groupby(['cluster_code','sku','item','range_ty25k chars

    Arguments

    mkdir -p /workspace/output /tmp/analysis && cat > /tmp/analysis/build.py << 'PYEOF'
import pandas as pd

pd.set_option('display.width', 200)
pd.set_option('display.max_columns', 20)

waste = pd.read_csv('/workspace/data/weekly_pos_inventory_waste.csv')
items = pd.read_csv('/workspace/data/item_master_unit_economics.csv')
cap = pd.read_csv('/workspace/data/store_cluster_capacity.csv')
prop = pd.read_csv('/workspace/data/buyer_reset_proposal.csv')

# ---- 1. Per cluster-item demand/waste summary (8-week window) ----
g = waste.groupby(['cluster_code','sku','item','range_ty

    … 1,784 more characters of arguments in the raw trajectory.

    Output

    === PER-CLUSTER ITEM PERFORMANCE (8-wk avg) ===
cluster_code      cluster_name      sku                      item       range_type  stores_ranged_avg  per_store_wk_sales  per_store_wk_waste  waste_rate_pct  oos_store_days_avg  retail_price  unit_cost  gp_per_unit  weekly_gp_per_store  gp_per_tray_slot_per_store_wk
         CAM Campus / Hospital GGS-1KFV       Egg Salad Croissant      Current set               11.0                1.57                0.36           18.82                0.57          5.49       2.28         3.21                 5.03                           5.03
         CAM Campus / Hospital GGS-2VWK      Turkey Club Sandwich      Current set               11.0                3.48                0.19            5.26                0.57          6.49       2.64         3.85                13.39                          13.39
         CAM Campus / Hospital GGS-3RZA          Caprese Ciabatta Controlled pilot                5.0                3.30                0.22

    … 24,336 more characters of output in the raw trajectory.

  20. 27The pilot data confirms several hand calculations and sharpens others — notably GP-per-tray-slot flips the Commuter Capr…117k

    The pilot data confirms several hand calculations and sharpens others — notably GP-per-tray-slot flips the Commuter Caprese decision even further, and exposes a consistent 0.5-slot capacity overage pattern. Let me build the full reconciliation (proposal vs. revised, capacity check, GP/waste impact) in code so every number in the deliverables is machine-checked.

  21. 28Bash1

    Tool execution only — no assistant text

    Bashcat > /tmp/analysis/reconcile.py << 'PYEOF' import pandas as pd items = pd.read_csv('/workspace/data/item_master_unit_economics.csv').set_index('sku') cap = pd.read_csv('/workspace/data/store_cluster_capacity.csv').set_index('cluster_code') prop = pd.read_csv('/workspace/data/buyer_reset_proposal.csv') perf = pd.read_csv('/tmp/analysis/demand_waste_summary.csv').set_index(['cluster_code','sku']) clusters = ['MET','COM','CAM','HWY','RUR'] skus = ['GGS-84QJ','GGS-2VWK','GGS-9PQL','GGS-5MTC','GGS-7DNL','GGS-1KFV','GGS-4HBP','GGS-3RZA','GGS-6BGH','GGS-8XUY'] # Proposal fa

    Arguments

    cat > /tmp/analysis/reconcile.py << 'PYEOF'
import pandas as pd

items = pd.read_csv('/workspace/data/item_master_unit_economics.csv').set_index('sku')
cap = pd.read_csv('/workspace/data/store_cluster_capacity.csv').set_index('cluster_code')
prop = pd.read_csv('/workspace/data/buyer_reset_proposal.csv')
perf = pd.read_csv('/tmp/analysis/demand_waste_summary.csv').set_index(['cluster_code','sku'])

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

# Proposal fa

    … 5,856 more characters of arguments in the raw trajectory.

    Output

    Exit code 1
  File "/tmp/analysis/reconcile.py", line 95
    for label, fm in [('baseline',baseline_facings behaviorproposal:=None) if False else ('baseline',baseline_facings)]:
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
SyntaxError: invalid syntax. Perhaps you forgot a comma?

[error] tool reported failure
  22. 30Stray debug line from editing — let me remove it.118k

    Stray debug line from editing — let me remove it.

  23. 31Bash1

    Tool execution only — no assistant text

    Bashcd /tmp/analysis && python3 - << 'EOF' import re with open('reconcile.py') as f: content = f.read() content = content.replace( """# sanity check: any (cluster,sku) with facings>0 but not in perf index? for label, fm in [('baseline',baseline_facings behaviorproposal:=None) if False else ('baseline',baseline_facings)]: pass for label, fm in [('baseline',baseline_facings), ('proposal', {(c,s):prop_facings.get((c,s),0) for c in clusters for s in skus}), ('revised', revised)]:""", """# sanity check: any (cluster,sku) with facings>0 but not in perf index? for l7k chars

    Arguments

    cd /tmp/analysis && python3 - << 'EOF'
import re
with open('reconcile.py') as f:
    content = f.read()
content = content.replace(
"""# sanity check: any (cluster,sku) with facings>0 but not in perf index?
for label, fm in [('baseline',baseline_facings behaviorproposal:=None) if False else ('baseline',baseline_facings)]:
    pass
for label, fm in [('baseline',baseline_facings), ('proposal', {(c,s):prop_facings.get((c,s),0) for c in clusters for s in skus}), ('revised', revised)]:""",
"""# sanity check: any (cluster,sku) with facings>0 but not in perf index?
for l

    … 341 more characters of arguments in the raw trajectory.

    Output

    fixed
=== CAPACITY CHECK: proposal vs revised (tray slots) ===
cluster  proposal_slots  revised_slots  tray_slots_available  deliveries_per_week  store_count  proposal_over_under  revised_over_under
    CAM            10.5            9.0                  10.0                    5           11                 -0.5                 1.0
    COM            10.5            9.0                  10.0                    4           26                 -0.5                 1.0
    HWY             8.5            6.5                   8.0                    3           15                 -0.5                 1.5
    MET            12.0           10.5                  12.0                    5           18                  0.0                 1.5
    RUR             7.5            6.5                   7.0                    2           14                 -0.5                 0.5
MISSING PERF DATA for proposal HWY GGS-3RZA (facings=1)

=== GP & WASTE $ IMPACT: baseline vs proposal vs revised ===

    … 6,146 more characters of output in the raw trajectory.

  24. 33The numbers confirm a consistent pattern: the proposal overshoots tray capacity in 4 of 5 clusters by exactly 0.5 slots,…134k

    The numbers confirm a consistent pattern: the proposal overshoots tray capacity in 4 of 5 clusters by exactly 0.5 slots, and — despite promising to cut shrink — would actually raise network waste cost by 9% over baseline. Let me generate the full reconciliation table with reasons/authority citations for every changed decision, which will drive both deliverables.

  25. 34Bash1

    Tool execution only — no assistant text

    Bashcat > /tmp/analysis/final_table.py << 'PYEOF' import pandas as pd items = pd.read_csv('/workspace/data/item_master_unit_economics.csv').set_index('sku') cap = pd.read_csv('/workspace/data/store_cluster_capacity.csv').set_index('cluster_code') prop = pd.read_csv('/workspace/data/buyer_reset_proposal.csv') perf = pd.read_csv('/tmp/analysis/demand_waste_summary.csv').set_index(['cluster_code','sku']) clusters = ['MET','COM','CAM','HWY','RUR'] cluster_names = cap['cluster_name'].to_dict() skus = ['GGS-84QJ','GGS-2VWK','GGS-9PQL','GGS-5MTC','GGS-7DNL','GGS-1KFV','GGS-4HBP','GG18k chars

    Arguments

    cat > /tmp/analysis/final_table.py << 'PYEOF'
import pandas as pd
items = pd.read_csv('/workspace/data/item_master_unit_economics.csv').set_index('sku')
cap = pd.read_csv('/workspace/data/store_cluster_capacity.csv').set_index('cluster_code')
prop = pd.read_csv('/workspace/data/buyer_reset_proposal.csv')
perf = pd.read_csv('/tmp/analysis/demand_waste_summary.csv').set_index(['cluster_code','sku'])

clusters = ['MET','COM','CAM','HWY','RUR']
cluster_names = cap['cluster_name'].to_dict()
skus = ['GGS-84QJ','GGS-2VWK','GGS-9PQL','GGS-5MTC','GGS-7DNL','GGS-1KFV','GGS-4HBP','GG

    … 10,245 more characters of arguments in the raw trajectory.

    Output

    cluster_code      sku                      item proposal_action  proposal_facings  revised_facings changed_vs_proposal                                               decision_note
         MET GGS-84QJ       Chicken Caesar Wrap            Keep                 2                2                  No                                Unchanged — matches proposal
         MET GGS-2VWK      Turkey Club Sandwich            Keep                 1                1                  No                                Unchanged — matches proposal
         MET GGS-9PQL    Southwest Chicken Bowl            Keep                 1                1                  No                                Unchanged — matches proposal
         MET GGS-5MTC        Hummus Veggie Wrap          Remove                 0                0                  No                                Remove (swapped for Caprese)
         MET GGS-7DNL                Cobb Salad            Keep                 1                1

    … 17,354 more characters of output in the raw trajectory.

  26. 36Now let me build the workbook. I'll check the xlsx skill guidance first, then construct the multi-tab file.138k

    Now let me build the workbook. I'll check the xlsx skill guidance first, then construct the multi-tab file.

  27. 37user{"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

    … 8,847 more characters in the raw trajectory.

  28. 38Skill1

    Tool execution only — no assistant text

    Skillxlsx

    Arguments

    xlsx

    Output

    Launching skill: xlsx

[metadata]
success: true
commandName: xlsx
  29. 40Bash148k1

    Tool execution only — no assistant text

    Bashls /logs/agent/sessions/skills/xlsx/scripts/ 2>/dev/null; echo "---"; python3 -c "import openpyxl; print(openpyxl.__version__)" (+description)

    Arguments

    Check xlsx skill scripts available and openpyxl version

    ls /logs/agent/sessions/skills/xlsx/scripts/ 2>/dev/null; echo "---"; python3 -c "import openpyxl; print(openpyxl.__version__)"

    Output

    office
recalc.py
---
3.1.5

[stdout]
office
recalc.py
---
3.1.5
[metadata]
noOutputExpected: false
  30. 42Bash156k1

    Tool execution only — no assistant text

    Bashcat > /tmp/analysis/build_workbook.py << 'PYEOF' 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.worksheet.table import Table, TableStyleInfo FONT = "Arial" NAVY = "1F3864" LTBLUE = "DDEBF7" LTGRAY = "F2F2F2" GOLD = "FFF2CC" RED_BAD = "C00000" GREEN_GOOD = "006100" GREEN_FILL = "C6EFCE" RED_FILL = "FFC7CE" hdr_font = Font(name=FONT, bold=True, color="FFFFFF", size=10) hdr_fill = PatternFill("solid", fgColor=NAV

    Arguments

    cat > /tmp/analysis/build_workbook.py << 'PYEOF'
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.worksheet.table import Table, TableStyleInfo

FONT = "Arial"
NAVY = "1F3864"
LTBLUE = "DDEBF7"
LTGRAY = "F2F2F2"
GOLD = "FFF2CC"
RED_BAD = "C00000"
GREEN_GOOD = "006100"
GREEN_FILL = "C6EFCE"
RED_FILL = "FFC7CE"

hdr_font = Font(name=FONT, bold=True, color="FFFFFF", size=10)
hdr_fill = PatternFill("solid", fgColor=NAV

    … 7,598 more characters of arguments in the raw trajectory.

    Output

    Item last row: 14 Raw last row: 372

[stdout]
Item last row: 14 Raw last row: 372
[metadata]
noOutputExpected: false
  31. 44Bash160k1

    Tool execution only — no assistant text

    Bashcat > /tmp/analysis/build_workbook_part2.py << 'PYEOF' import pandas as pd from openpyxl import load_workbook from openpyxl.styles import Font, PatternFill, Alignment, Border, Side from openpyxl.utils import get_column_letter FONT = "Arial" NAVY = "1F3864" hdr_font = Font(name=FONT, bold=True, color="FFFFFF", size=10) hdr_fill = PatternFill("solid", fgColor=NAVY) title_font = Font(name=FONT, bold=True, size=14, color=NAVY) subtitle_font = Font(name=FONT, italic=True, size=9, color="595959") sect_font = Font(name=FONT, bold=True, size=11, color=NAVY) normal =

    Arguments

    cat > /tmp/analysis/build_workbook_part2.py << 'PYEOF'
import pandas as pd
from openpyxl import load_workbook
from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
from openpyxl.utils import get_column_letter

FONT = "Arial"
NAVY = "1F3864"
hdr_font = Font(name=FONT, bold=True, color="FFFFFF", size=10)
hdr_fill = PatternFill("solid", fgColor=NAVY)
title_font = Font(name=FONT, bold=True, size=14, color=NAVY)
subtitle_font = Font(name=FONT, italic=True, size=9, color="595959")
sect_font = Font(name=FONT, bold=True, size=11, color=NAVY)
normal =

    … 4,238 more characters of arguments in the raw trajectory.

    Output

    Demand&Waste last row: 50

[stdout]
Demand&Waste last row: 50
[metadata]
noOutputExpected: false
  32. 46Bash166k1

    Tool execution only — no assistant text

    Bashcat > /tmp/analysis/build_workbook_part3.py << 'PYEOF' import pandas as pd from openpyxl import load_workbook from openpyxl.styles import Font, PatternFill, Alignment, Border, Side from openpyxl.utils import get_column_letter FONT = "Arial" NAVY = "1F3864" hdr_font = Font(name=FONT, bold=True, color="FFFFFF", size=10) hdr_fill = PatternFill("solid", fgColor=NAVY) title_font = Font(name=FONT, bold=True, size=14, color=NAVY) subtitle_font = Font(name=FONT, italic=True, size=9, color="595959") normal = Font(name=FONT, size=10) normal_wrap = Font(name=FONT, size

    Arguments

    cat > /tmp/analysis/build_workbook_part3.py << 'PYEOF'
import pandas as pd
from openpyxl import load_workbook
from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
from openpyxl.utils import get_column_letter

FONT = "Arial"
NAVY = "1F3864"
hdr_font = Font(name=FONT, bold=True, color="FFFFFF", size=10)
hdr_fill = PatternFill("solid", fgColor=NAVY)
title_font = Font(name=FONT, bold=True, size=14, color=NAVY)
subtitle_font = Font(name=FONT, italic=True, size=9, color="595959")
normal = Font(name=FONT, size=10)
normal_wrap = Font(name=FONT, size

    … 6,917 more characters of arguments in the raw trajectory.

    Output

    Proposal Reconciliation last row: 54

[stdout]
Proposal Reconciliation last row: 54
[metadata]
noOutputExpected: false
  33. 48Bash174k1

    Tool execution only — no assistant text

    Bashcat > /tmp/analysis/build_workbook_part4.py << 'PYEOF' import pandas as pd from openpyxl import load_workbook from openpyxl.styles import Font, PatternFill, Alignment, Border, Side from openpyxl.utils import get_column_letter from openpyxl.formatting.rule import CellIsRule, FormulaRule FONT = "Arial" NAVY = "1F3864" hdr_font = Font(name=FONT, bold=True, color="FFFFFF", size=10) hdr_fill = PatternFill("solid", fgColor=NAVY) title_font = Font(name=FONT, bold=True, size=14, color=NAVY) subtitle_font = Font(name=FONT, italic=True, size=9, color="595959") sect_fo

    Arguments

    cat > /tmp/analysis/build_workbook_part4.py << 'PYEOF'
import pandas as pd
from openpyxl import load_workbook
from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
from openpyxl.utils import get_column_letter
from openpyxl.formatting.rule import CellIsRule, FormulaRule

FONT = "Arial"
NAVY = "1F3864"
hdr_font = Font(name=FONT, bold=True, color="FFFFFF", size=10)
hdr_fill = PatternFill("solid", fgColor=NAVY)
title_font = Font(name=FONT, bold=True, size=14, color=NAVY)
subtitle_font = Font(name=FONT, italic=True, size=9, color="595959")
sect_fo

    … 11,422 more characters of arguments in the raw trajectory.

    Output

    Cluster Summary rows: 5 9 total row: 10

[stdout]
Cluster Summary rows: 5 9 total row: 10
[metadata]
noOutputExpected: false
  34. 50Bash176k1

    Tool execution only — no assistant text

    Bashcat > /tmp/analysis/build_workbook_part5.py << 'PYEOF' from openpyxl import load_workbook from openpyxl.styles import Font, PatternFill, Alignment, Border, Side from openpyxl.utils import get_column_letter FONT = "Arial" NAVY = "1F3864" hdr_font = Font(name=FONT, bold=True, color="FFFFFF", size=10) hdr_fill = PatternFill("solid", fgColor=NAVY) title_font = Font(name=FONT, bold=True, size=14, color=NAVY) subtitle_font = Font(name=FONT, italic=True, size=9, color="595959") normal = Font(name=FONT, size=10) normal_wrap = Font(name=FONT, size=9) bold_wrap = Font

    Arguments

    cat > /tmp/analysis/build_workbook_part5.py << 'PYEOF'
from openpyxl import load_workbook
from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
from openpyxl.utils import get_column_letter

FONT = "Arial"
NAVY = "1F3864"
hdr_font = Font(name=FONT, bold=True, color="FFFFFF", size=10)
hdr_fill = PatternFill("solid", fgColor=NAVY)
title_font = Font(name=FONT, bold=True, size=14, color=NAVY)
subtitle_font = Font(name=FONT, italic=True, size=9, color="595959")
normal = Font(name=FONT, size=10)
normal_wrap = Font(name=FONT, size=9)
bold_wrap = Font

    … 5,043 more characters of arguments in the raw trajectory.

    Output

    done, sheets: ['Cluster Summary', 'Capacity Check', 'Proposal Reconciliation', 'Item Economics', 'Demand & Waste Detail', 'Signed Vendor Terms', 'Raw Data - POS Waste', 'Read Me']

[stdout]
done, sheets: ['Cluster Summary', 'Capacity Check', 'Proposal Reconciliation', 'Item Economics', 'Demand & Waste Detail', 'Signed Vendor Terms', 'Raw Data - POS Waste', 'Read Me']
[metadata]
noOutputExpected: false
  35. 51Now let's recalculate all formulas and check for errors.177k

    Now let's recalculate all formulas and check for errors.

  36. 52Bash1

    Tool execution only — no assistant text

    Bashcd /workspace/output && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py reset_decision_workbook.xlsx 60 (+description)

    Arguments

    Recalculate workbook formulas and check for errors

    cd /workspace/output && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py reset_decision_workbook.xlsx 60

    Output

    {
  "status": "success",
  "total_errors": 0,
  "error_summary": {},
  "total_formulas": 1873
}

[stdout]
{
  "status": "success",
  "total_errors": 0,
  "error_summary": {},
  "total_formulas": 1873
}
[metadata]
noOutputExpected: false
  37. 54Zero formula errors across 1,873 formulas. Let me verify the computed values match my earlier analysis before moving to…177k

    Zero formula errors across 1,873 formulas. Let me verify the computed values match my earlier analysis before moving to the memo.

  38. 55Bash1

    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['Capacity Check'] print('=== CAPACITY CHECK ===') for r in range(4,10): print([ws.cell(row=r,column=c).value for c in range(1,13)]) ws = wb['Cluster Summary'] print() print('=== CLUSTER SUMMARY ===') for r in range(4,11): print([ws.cell(row=r,column=c).value for c in range(1,21)]) " (+description)6k chars

    Arguments

    Inspect recalculated Capacity Check and Cluster Summary values

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

ws = wb['Capacity Check']
print('=== CAPACITY CHECK ===')
for r in range(4,10):
    print([ws.cell(row=r,column=c).value for c in range(1,13)])

ws = wb['Cluster Summary']
print()
print('=== CLUSTER SUMMARY ===')
for r in range(4,11):
    print([ws.cell(row=r,column=c).value for c in range(1,21)])
"

    Output

    === CAPACITY CHECK ===
['Cluster', 'Cluster Name', 'Store Count', 'Deliveries/Wk', 'Tray Slots Available (live)', 'Extra Tray Project (not usable this reset)', 'Proposal Slots Required', 'Proposal Buffer (slots)', 'Proposal Fit?', 'Revised Slots Required', 'Revised Buffer (slots)', 'Revised Fit?']
['MET', 'Metro Core', 18, 5, 12, 'Pending September lease-line change; not approved for July reset', 12, 0, 'Fits', 10.5, 1.5, 'Fits']
['COM', 'Commuter Suburban', 26, 4, 10, 'No incremental tray capacity this reset', 10.5, -0.5, 'OVER CAPACITY', 9, 1, 'Fits']
['CAM', 'Campus / Hospital', 11, 5, 10, 'No incremental tray capacity this reset', 10.5, -0.5, 'OVER CAPACITY', 9, 1, 'Fits']
['HWY', 'Highway / Travel', 15, 3, 8, 'No incremental tray capacity this reset', 8.5, -0.5, 'OVER CAPACITY', 6.5, 1.5, 'Fits']
['RUR', 'Rural North', 14, 2, 7, 'No incremental tray capacity this reset', 7.5, -0.5, 'OVER CAPACITY', 6.5, 0.5, 'Fits']

=== CLUSTER SUMMARY ===
['Cluster', 'Cluster Name', 'Store Count

    … 5,032 more characters of output in the raw trajectory.

  39. 57Let me fill in a couple of missing network-level cells (weighted-average waste $/store and the remaining % deltas) in th…181k

    Let me fill in a couple of missing network-level cells (weighted-average waste $/store and the remaining % deltas) in the total row for completeness, then re-verify.

  40. 58Bash1

    Tool execution only — no assistant text

    Bashcat > /tmp/analysis/patch_totals.py << 'PYEOF' from openpyxl import load_workbook wb = load_workbook('/workspace/output/reset_decision_workbook.xlsx') ws = wb['Cluster Summary'] cs_start, cs_end, r = 5, 9, 10 ws.cell(row=r, column=12, value=f'=SUMPRODUCT(L{cs_start}:L{cs_end},C{cs_start}:C{cs_end})/C{r}').number_format='$#,##0.00' ws.cell(row=r, column=13, value=f'=SUMPRODUCT(M{cs_start}:M{cs_end},C{cs_start}:C{cs_end})/C{r}').number_format='$#,##0.00' ws.cell(row=r, column=14, value=f'=SUMPRODUCT(N{cs_start}:N{cs_end},C{cs_start}:C{cs_end})/C{r}').number_format='$#,##0.00

    Arguments

    cat > /tmp/analysis/patch_totals.py << 'PYEOF'
from openpyxl import load_workbook
wb = load_workbook('/workspace/output/reset_decision_workbook.xlsx')
ws = wb['Cluster Summary']
cs_start, cs_end, r = 5, 9, 10

ws.cell(row=r, column=12, value=f'=SUMPRODUCT(L{cs_start}:L{cs_end},C{cs_start}:C{cs_end})/C{r}').number_format='$#,##0.00'
ws.cell(row=r, column=13, value=f'=SUMPRODUCT(M{cs_start}:M{cs_end},C{cs_start}:C{cs_end})/C{r}').number_format='$#,##0.00'
ws.cell(row=r, column=14, value=f'=SUMPRODUCT(N{cs_start}:N{cs_end},C{cs_start}:C{cs_end})/C{r}').number_format='$#,##0.00

    … 955 more characters of arguments in the raw trajectory.

    Output

    {
  "status": "success",
  "total_errors": 0,
  "error_summary": {},
  "total_formulas": 1879
}

[stdout]
{
  "status": "success",
  "total_errors": 0,
  "error_summary": {},
  "total_formulas": 1879
}
[metadata]
noOutputExpected: false
  41. 60Bash182k1

    Tool execution only — no assistant text

    Bashpython3 -c " from openpyxl import load_workbook wb = load_workbook('/workspace/output/reset_decision_workbook.xlsx', data_only=True) ws = wb['Cluster Summary'] r=10 vals = [ws.cell(row=r,column=c).value for c in range(1,21)] labels = [ws.cell(row=4,column=c).value for c in range(1,21)] for l,v in zip(labels,vals): print(f'{l}: {v}') "2k chars

    Arguments

    python3 -c "
from openpyxl import load_workbook
wb = load_workbook('/workspace/output/reset_decision_workbook.xlsx', data_only=True)
ws = wb['Cluster Summary']
r=10
vals = [ws.cell(row=r,column=c).value for c in range(1,21)]
labels = [ws.cell(row=4,column=c).value for c in range(1,21)]
for l,v in zip(labels,vals):
    print(f'{l}: {v}')
"

    Output

    Cluster: None
Cluster Name: NETWORK TOTAL (84 stores)
Store Count: 84
Final SKU Count (revised): None
Vegetarian Anchor (revised): None
Tray Slots Used (revised): None
Tray Slots Available: None
Buffer (slots): None
GP $/Store/Wk — Current: 72.348943452381
GP $/Store/Wk — Proposal: 85.701552827381
GP $/Store/Wk — Revised: 83.1476949404762
Waste $/Store/Wk — Current: 5.02510416666667
Waste $/Store/Wk — Proposal: 5.49553670634921
Waste $/Store/Wk — Revised: 4.22682886904762
Network GP $/Wk — Revised: 6984.406375
Network Waste $/Wk — Revised: 355.053625
GP % Chg Revised vs Current: 0.149259283865048
Waste % Chg Revised vs Current: -0.158857462679937
GP % Chg Revised vs Proposal: -0.0297994353970309
Waste % Chg Revised vs Proposal: -0.230861498174655

[stdout]
Cluster: None
Cluster Name: NETWORK TOTAL (84 stores)
Store Count: 84
Final SKU Count (revised): None
Vegetarian Anchor (revised): None
Tray Slots Used (revised): None
Tray Slots Available: None
Buffer (slots): None
GP $/Store/Wk — C

    … 562 more characters of output in the raw trajectory.

  42. 62Let me lock down precise headline network dollar figures for the memo text (computed from the workbook's own values, not…189k

    Let me lock down precise headline network dollar figures for the memo text (computed from the workbook's own values, not re-derived by hand).

  43. 63Bash1

    Tool execution only — no assistant text

    Bashpython3 -c " b_gp,p_gp,r_gp = 72.348943452381, 85.701552827381, 83.1476949404762 b_w,p_w,r_w = 5.02510416666667, 5.49553670634921, 4.22682886904762 n=84 print('Network GP/wk current : \${:,.0f}'.format(b_gp*n)) print('Network GP/wk proposal : \${:,.0f}'.format(p_gp*n)) print('Network GP/wk revised : \${:,.0f}'.format(r_gp*n)) print('revised vs current : {:+.1f}% ({:+,.0f}/wk)'.format((r_gp-b_gp)/b_gp*100, (r_gp-b_gp)*n)) print('revised vs proposal: {:+.1f}% ({:+,.0f}/wk)'.format((r_gp-p_gp)/p_gp*100, (r_gp-p_gp)*n)) print('pct of proposal upside captured:', roun

    Arguments

    python3 -c "
b_gp,p_gp,r_gp = 72.348943452381, 85.701552827381, 83.1476949404762
b_w,p_w,r_w = 5.02510416666667, 5.49553670634921, 4.22682886904762
n=84
print('Network GP/wk  current  : \${:,.0f}'.format(b_gp*n))
print('Network GP/wk  proposal : \${:,.0f}'.format(p_gp*n))
print('Network GP/wk  revised  : \${:,.0f}'.format(r_gp*n))
print('revised vs current : {:+.1f}%  ({:+,.0f}/wk)'.format((r_gp-b_gp)/b_gp*100, (r_gp-b_gp)*n))
print('revised vs proposal: {:+.1f}%  ({:+,.0f}/wk)'.format((r_gp-p_gp)/p_gp*100, (r_gp-p_gp)*n))
print('pct of proposal upside captured:', roun

    … 531 more characters of arguments in the raw trajectory.

    Output

    Network GP/wk  current  : $6,077
Network GP/wk  proposal : $7,199
Network GP/wk  revised  : $6,984
revised vs current : +14.9%  (+907/wk)
revised vs proposal: -3.0%  (-215/wk)
pct of proposal upside captured: 80.9 %

Network waste/wk current : $422
Network waste/wk proposal: $462
Network waste/wk revised : $355
revised vs current : -15.9%  (-67/wk)
revised vs proposal: -23.1%  (-107/wk)
proposal vs current (waste) : +9.4%  (+40/wk)

[stdout]
Network GP/wk  current  : $6,077
Network GP/wk  proposal : $7,199
Network GP/wk  revised  : $6,984
revised vs current : +14.9%  (+907/wk)
revised vs proposal: -3.0%  (-215/wk)
pct of proposal upside captured: 80.9 %

Network waste/wk current : $422
Network waste/wk proposal: $462
Network waste/wk revised : $355
revised vs current : -15.9%  (-67/wk)
revised vs proposal: -23.1%  (-107/wk)
proposal vs current (waste) : +9.4%  (+40/wk)
[metadata]
noOutputExpected: false
  44. 65Now I have all the precise figures. Let me build the memo with the docx library.195k

    Now I have all the precise figures. Let me build the memo with the docx library.

  45. 66Bash1

    Tool execution only — no assistant text

    Bashnode -e "console.log(require('docx').Packer ? 'docx OK' : 'missing')" 2>&1 || npm install -g docx 2>&1 | tail -5 (+description)

    Arguments

    Verify docx npm package is available

    node -e "console.log(require('docx').Packer ? 'docx OK' : 'missing')" 2>&1 || npm install -g docx 2>&1 | tail -5

    Output

    /bin/bash: line 1: node: command not found
/bin/bash: line 1: npm: command not found

[stdout]
/bin/bash: line 1: node: command not found
/bin/bash: line 1: npm: command not found
[metadata]
noOutputExpected: false
  46. 68Bash195k1

    Tool execution only — no assistant text

    Bashwhich node nodejs npm 2>&1; ls /usr/local/bin/ 2>/dev/null | grep -i node; ls /usr/bin/ 2>/dev/null | grep -i node; find / -maxdepth 4 -iname "node" -type f 2>/dev/null; cat /etc/os-release 2>/dev/null | head -3 (+description)1k chars

    Arguments

    Search for node.js installation on the system

    which node nodejs npm 2>&1; ls /usr/local/bin/ 2>/dev/null | grep -i node; ls /usr/bin/ 2>/dev/null | grep -i node; find / -maxdepth 4 -iname "node" -type f 2>/dev/null; cat /etc/os-release 2>/dev/null | head -3

    Output

    /proc/irq/0/node
/proc/irq/1/node
/proc/irq/2/node
/proc/irq/3/node
/proc/irq/4/node
/proc/irq/5/node
/proc/irq/6/node
/proc/irq/7/node
/proc/irq/8/node
/proc/irq/9/node
/proc/irq/10/node
/proc/irq/11/node
/proc/irq/12/node
/proc/irq/13/node
/proc/irq/14/node
/proc/irq/15/node
/proc/irq/24/node
/proc/irq/25/node
/proc/irq/26/node
/proc/irq/27/node
/proc/irq/28/node
/proc/irq/29/node
/proc/irq/30/node
/proc/irq/31/node
/proc/irq/32/node
/proc/irq/33/node
/proc/irq/34/node
/proc/irq/35/node
/proc/irq/36/node
/proc/irq/37/node
PRETTY_NAME="Debian GNU/Linux 13 (trixie)"
NAME="Debian GNU/Linux"
VERSION_ID="13"

[stdout]
/proc/irq/0/node
/proc/irq/1/node
/proc/irq/2/node
/proc/irq/3/node
/proc/irq/4/node
/proc/irq/5/node
/proc/irq/6/node
/proc/irq/7/node
/proc/irq/8/node
/proc/irq/9/node
/proc/irq/10/node
/proc/irq/11/node
/proc/irq/12/node
/proc/irq/13/node
/proc/irq/14/node
/proc/irq/15/node
/proc/irq/24/node
/proc/irq/25/node
/proc/irq/26/node
/proc/irq/27/node
/proc/irq/28/node
/proc/irq

    … 274 more characters of output in the raw trajectory.

  47. 70Bash196k1

    Tool execution only — no assistant text

    Bashpython3 -c "import docx; print('python-docx OK', docx.__file__)" 2>&1 echo "---apt check---" which apt apt-get 2>&1 echo "---network check---" timeout 5 curl -sI https://registry.npmjs.org 2>&1 | head -3 echo "---pip check for docx libs---" pip3 list 2>/dev/null | grep -i doc (+description)

    Arguments

    Check for python-docx, apt, and network availability as fallback options

    python3 -c "import docx; print('python-docx OK', docx.__file__)" 2>&1
echo "---apt check---"
which apt apt-get 2>&1
echo "---network check---"
timeout 5 curl -sI https://registry.npmjs.org 2>&1 | head -3
echo "---pip check for docx libs---"
pip3 list 2>/dev/null | grep -i doc

    Output

    python-docx OK /usr/local/lib/python3.11/site-packages/docx/__init__.py
---apt check---
/usr/bin/apt
/usr/bin/apt-get
---network check---
HTTP/2 200 
date: Thu, 20 Aug 2026 07:35:22 GMT
content-type: application/json
---pip check for docx libs---
python-docx        1.2.0

[stdout]
python-docx OK /usr/local/lib/python3.11/site-packages/docx/__init__.py
---apt check---
/usr/bin/apt
/usr/bin/apt-get
---network check---
HTTP/2 200 
date: Thu, 20 Aug 2026 07:35:22 GMT
content-type: application/json
---pip check for docx libs---
python-docx        1.2.0
[metadata]
noOutputExpected: false
  48. 72Bash197k1

    Tool execution only — no assistant text

    Bashtimeout 60 apt-get install -y nodejs npm 2>&1 | tail -15 (+description)

    Arguments

    Attempt to install Node.js via apt

    timeout 60 apt-get install -y nodejs npm 2>&1 | tail -15

    Output

    Exit code 143
Terminated

[error] tool reported failure
  49. 74No node/npm available and apt install is too slow here — I'll build the memo with python-docx instead, which is already…199k

    No node/npm available and apt install is too slow here — I'll build the memo with python-docx instead, which is already installed and fully capable of the formatting this needs.

  50. 75Bash1

    Tool execution only — no assistant text

    Bashmkdir -p /tmp/analysis && cat > /tmp/analysis/docx_helpers.py << 'PYEOF' from docx.oxml.ns import qn from docx.oxml import OxmlElement from docx.shared import Pt, RGBColor NAVY = RGBColor(0x1F, 0x38, 0x64) DKGRAY = RGBColor(0x40, 0x40, 0x40) RED = RGBColor(0xC0, 0x00, 0x00) GREEN = RGBColor(0x00, 0x61, 0x00) def set_cell_bg(cell, hex_color): shd = OxmlElement('w:shd') shd.set(qn('w:val'), 'clear') shd.set(qn('w:color'), 'auto') shd.set(qn('w:fill'), hex_color) cell._tc.get_or_add_tcPr().append(shd) def set_cell_borders(cell, color="BFBFBF",

    Arguments

    mkdir -p /tmp/analysis && cat > /tmp/analysis/docx_helpers.py << 'PYEOF'
from docx.oxml.ns import qn
from docx.oxml import OxmlElement
from docx.shared import Pt, RGBColor

NAVY = RGBColor(0x1F, 0x38, 0x64)
DKGRAY = RGBColor(0x40, 0x40, 0x40)
RED = RGBColor(0xC0, 0x00, 0x00)
GREEN = RGBColor(0x00, 0x61, 0x00)

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

def set_cell_borders(cell, color="BFBFBF",

    … 1,966 more characters of arguments in the raw trajectory.

    Output

    helpers written

[stdout]
helpers written
[metadata]
noOutputExpected: false
  51. 77Write204k1

    Tool execution only — no assistant text

    Write/tmp/analysis/build_memo.py (+content)11k chars

    Arguments

    file_path
    /tmp/analysis/build_memo.py
    content
    import sys
sys.path.insert(0, '/tmp/analysis')
from docx_helpers import *
from docx import Document
from docx.shared import Pt, Inches, RGBColor
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

doc = Document()

# ---- Page setup & base style ----
section = doc.sections[0]
section.page_height = Inches(11)
section.page_width = Inches(8.5)
section.top_margin = Inches(0.7)
section.bottom_margin = Inches(0.7)
section.left

    … 10,138 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 sys
  sys.path.insert(0, '/tmp/analysis')
  from docx_helpers import *
  from docx import Document
  from docx.shared import Pt, Inches, RGBColor
  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
  
  doc = Document()
  
  # ---- Page setup & base style ----
  section = doc.sections[0]
  section.page_height = Inches(11)
  section.page_width = Inches(8.5)
  section.top_margin = Inches(0.7)
  section.bottom_margin = Inches(0.7)
  section.left_margin = Inches(0.8)
  section.right_margin = Inches(0.8)
  
  normal_style = doc.styles['Normal']
  normal_style.font.name = "Arial"
  normal_style.font.size = Pt(10.5)
  normal_style.font.color.rgb = RGBColor(0x1A, 0x1A, 0x1A)
  rpr = normal_styl

    … 9,962 more characters of output in the raw trajectory.

  52. 78Bash204k1

    Tool execution only — no assistant text

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

    Arguments

    Run memo build script part 1

    cd /tmp/analysis && python3 build_memo.py

    Output

    Part 1 saved. Paragraphs so far: 20
Shell cwd was reset to /workspace

[stdout]
Part 1 saved. Paragraphs so far: 20
[stderr]

Shell cwd was reset to /workspace
[metadata]
noOutputExpected: false
  53. 80Edit212k1

    Tool execution only — no assistant text

    Edit/tmp/analysis/build_memo.py (+replace_all, old_string, new_string)19k chars

    Arguments

    replace_all
    false
    file_path
    /tmp/analysis/build_memo.py
    old_string
    doc.save('/workspace/output/grab_go_reset_memo.docx')
print("Part 1 saved. Paragraphs so far:", len(doc.paragraphs))
    new_string
    # ================= SECTION 2 =================
add_h1("Revised cluster-level assortment", 2)
add_table(
 headers=["Cluster", "Final line-up (item: facings)", "Vegetarian anchor", "Tray slots\n(used / available)"],
 rows=[
  ["Metro Core\n(18 stores, 5 dlv/wk)",
   "Chicken Caesar Wrap (2); Turkey Club Sandwich (1); Southwest Chicken Bowl (1); Cobb Salad (1); "

    … 8,484 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("Part 1 saved. Paragraphs so far:", len(doc.paragraphs))
newString: |
  # ================= SECTION 2 =================
  add_h1("Revised cluster-level assortment", 2)
  add_table(
   headers=["Cluster", "Final line-up (item: facings)", "Vegetarian anchor", "Tray slots\n(used / available)"],
   rows=[
    ["Metro Core\n(18 stores, 5 dlv/wk)",
     "Chicken Caesar Wrap (2); Turkey Club Sandwich (1); Southwest Chicken Bowl (1); Cobb Salad (1); "
     "Caprese Ciabatta (1); Protein Snack Box (2); Spicy Tuna Sushi Roll (1 — route M-11 stores only)",
     "Caprese Ciabatta", "10.5 / 12.0"],
    ["Commuter Suburban\n(26 stores, 4 dlv/wk)",
     "Chicken Caesar Wrap (1); Turkey Club Sandwich (2); Southwest Chicken

    … 17,733 more characters of output in the raw trajectory.

  54. 81Bash213k1

    Tool execution only — no assistant text

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

    Arguments

    Run full memo build script

    cd /tmp/analysis && python3 build_memo.py

    Output

    Full memo saved. Paragraphs: 46 Tables: 4
Shell cwd was reset to /workspace

[stdout]
Full memo saved. Paragraphs: 46 Tables: 4
[stderr]

Shell cwd was reset to /workspace
[metadata]
noOutputExpected: false
  55. 83Bash213k1

    Tool execution only — no assistant text

    Bashpython3 /logs/agent/sessions/skills/docx/scripts/office/validate.py /workspace/output/grab_go_reset_memo.docx 2>&1 (+description)1k chars

    Arguments

    Validate the generated docx file structure

    python3 /logs/agent/sessions/skills/docx/scripts/office/validate.py /workspace/output/grab_go_reset_memo.docx 2>&1

    Output

    Exit code 1

FAILED - Found NEW validation errors:
  word/document.xml: 3 new error(s)
    - Element '{http://schemas.openxmlformats.org/wordprocessingml/2006/main}pBdr': This element is not expected. Expected is one of ( {http://schemas.openxmlformats.org/wordprocessingml/2006/main}ind, {http://schemas.openxmlformats.org/wordprocessingml/20...
    - 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...
    - Element '{http://schemas.openxmlformats.org/wordprocessingml/2006/main}left': This element is not expected. Expected is one of ( {http://schemas.openxmlformats.org/wordprocessingml/2006/main}end, {http://schemas.openxmlformats.org/wordprocessingml/20...
  word/settings.xml: 1 new error(s)
    - Element '{http://schemas.openxmlformats.org/wordprocessingml/2006/main}zoom': The attribute

    … 156 more characters of output in the raw trajectory.

  56. 85Bash218k1

    Tool execution only — no assistant text

    Bashcd /tmp && python3 -c " from docx import Document d = Document() d.add_paragraph('test') d.save('/tmp/blank_test.docx') " python3 /logs/agent/sessions/skills/docx/scripts/office/validate.py /tmp/blank_test.docx 2>&1 (+description)

    Arguments

    Check if zoom-percent error is inherent to python-docx blank template

    cd /tmp && python3 -c "
from docx import Document
d = Document()
d.add_paragraph('test')
d.save('/tmp/blank_test.docx')
"
python3 /logs/agent/sessions/skills/docx/scripts/office/validate.py /tmp/blank_test.docx 2>&1

    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
  57. 87Bash219k1

    Tool execution only — no assistant text

    Bashcd /tmp && python3 -c " from docx import Document from docx.oxml.ns import qn d = Document() zoom = d.settings.element.find(qn('w:zoom')) print('found:', zoom, zoom.attrib if zoom is not None else None) zoom.set(qn('w:percent'), '100') d.add_paragraph('test') d.save('/tmp/blank_test2.docx') " python3 /logs/agent/sessions/skills/docx/scripts/office/validate.py /tmp/blank_test2.docx 2>&1 (+description)

    Arguments

    Test fixing the zoom percent attribute via python-docx settings element

    cd /tmp && python3 -c "
from docx import Document
from docx.oxml.ns import qn
d = Document()
zoom = d.settings.element.find(qn('w:zoom'))
print('found:', zoom, zoom.attrib if zoom is not None else None)
zoom.set(qn('w:percent'), '100')
d.add_paragraph('test')
d.save('/tmp/blank_test2.docx')
"
python3 /logs/agent/sessions/skills/docx/scripts/office/validate.py /tmp/blank_test2.docx 2>&1

    Output

    found: <Element {http://schemas.openxmlformats.org/wordprocessingml/2006/main}zoom at 0x7ed5e50068c0> {'{http://schemas.openxmlformats.org/wordprocessingml/2006/main}val': 'bestFit'}

Paragraphs: 0 → 1 (+1)
All validations PASSED!
Shell cwd was reset to /workspace

[stdout]
found: <Element {http://schemas.openxmlformats.org/wordprocessingml/2006/main}zoom at 0x7ed5e50068c0> {'{http://schemas.openxmlformats.org/wordprocessingml/2006/main}val': 'bestFit'}

Paragraphs: 0 → 1 (+1)
All validations PASSED!
[stderr]

Shell cwd was reset to /workspace
[metadata]
noOutputExpected: false
  58. 89Edit221k1

    Tool execution only — no assistant text

    Edit/tmp/analysis/docx_helpers.py (+replace_all, old_string)7k chars

    Arguments

    replace_all
    false
    file_path
    /tmp/analysis/docx_helpers.py
    old_string
    def set_cell_bg(cell, hex_color):
    shd = OxmlElement('w:shd')
    shd.set(qn('w:val'), 'clear')
    shd.set(qn('w:color'), 'auto')
    shd.set(qn('w:fill'), hex_color)
    cell._tc.get_or_add_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'), sz)

    … 2,162 more characters of arguments in the raw trajectory.

    Output

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

[metadata]
filePath: /tmp/analysis/docx_helpers.py
oldString: |
  def set_cell_bg(cell, hex_color):
      shd = OxmlElement('w:shd')
      shd.set(qn('w:val'), 'clear')
      shd.set(qn('w:color'), 'auto')
      shd.set(qn('w:fill'), hex_color)
      cell._tc.get_or_add_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'), sz)
          el.set(qn('w:space'), '0')
          el.set(qn('w:color'), color)
          borders.append(el)
      tcPr.append(borders)
  
  def set_cell_margins(cell, top=60, bottom=60, left=100, right=100):
      tcPr = cell._tc.get_or_add_tcPr()
      mar = OxmlElement('w:tcMar')

    … 6,088 more characters of output in the raw trajectory.

  59. 91Edit222k1

    Tool execution only — no assistant text

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

    Arguments

    replace_all
    false
    file_path
    /tmp/analysis/docx_helpers.py
    old_string
    def set_col_widths(table, widths_in_inches):
    from docx.shared import Inches
    table.autofit = False
    for row in table.rows:
        for idx, w in enumerate(widths_in_inches):
            row.cells[idx].width = Inches(w)
    for idx, w in enumerate(widths_in_inches):
        table.columns[idx].width = Inches(w)

def add_hr(paragraph, color="1F3864", sz="12"):
    p = paragraph._p
    pPr = p.get_or_add_pPr()
    pBdr = OxmlElement('w:pBdr')
    bottom = OxmlElement('w:bottom')
    bottom.se

    … 1,360 more characters of arguments in the raw trajectory.

    Output

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

[metadata]
filePath: /tmp/analysis/docx_helpers.py
oldString: |
  def set_col_widths(table, widths_in_inches):
      from docx.shared import Inches
      table.autofit = False
      for row in table.rows:
          for idx, w in enumerate(widths_in_inches):
              row.cells[idx].width = Inches(w)
      for idx, w in enumerate(widths_in_inches):
          table.columns[idx].width = Inches(w)
  
  def add_hr(paragraph, color="1F3864", sz="12"):
      p = paragraph._p
      pPr = p.get_or_add_pPr()
      pBdr = OxmlElement('w:pBdr')
      bottom = OxmlElement('w:bottom')
      bottom.set(qn('w:val'), 'single')
      bottom.set(qn('w:sz'), sz)
      bottom.set(qn('w:space'), '1')
      bottom.set(qn('w:color'), color)
      pBdr.append(bottom)
      pPr.append(pBdr)
newString: |
  def set_col_widths(table, widths_in_inches):
      from docx.shared import Inc

    … 5,308 more characters of output in the raw trajectory.

  60. 92Now let me add the zoom fix to the memo build script and re-run.223k

    Now let me add the zoom fix to the memo build script and re-run.

  61. 93Edit1

    Tool execution only — no assistant text

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

    Arguments

    replace_all
    false
    file_path
    /tmp/analysis/build_memo.py
    old_string
    doc.save('/workspace/output/grab_go_reset_memo.docx')
print("Full memo saved. Paragraphs:", len(doc.paragraphs), "Tables:", len(doc.tables))
    new_string
    zoom = doc.settings.element.find(qn('w:zoom'))
if zoom is not None:
    zoom.set(qn('w:percent'), '100')

doc.save('/workspace/output/grab_go_reset_memo.docx')
print("Full memo saved. Paragraphs:", len(doc.paragraphs), "Tables:", len(doc.tables))

    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("Full memo saved. Paragraphs:", len(doc.paragraphs), "Tables:", len(doc.tables))
newString: |
  zoom = doc.settings.element.find(qn('w:zoom'))
  if zoom is not None:
      zoom.set(qn('w:percent'), '100')
  
  doc.save('/workspace/output/grab_go_reset_memo.docx')
  print("Full memo saved. Paragraphs:", len(doc.paragraphs), "Tables:", len(doc.tables))
originalFile: null
structuredPatch:
  -
    oldStart: 324
    oldLines: 5
    newStart: 324
    newLines: 9
    lines:
      -   "accompanying workbook, reset_decision_workbook.xlsx.", space_after=2
      -  )
      -  
      - +zoom = doc.settings.element.find(qn('w:zoom'))
      - +if zoom is not None:
      - +    zoom.set(qn('w:percent'), '100')
      - +
      -  doc.save('/workspace/output/grab_go_reset_memo.

    … 150 more characters of output in the raw trajectory.

  62. 94Bash223k1

    Tool execution only — no assistant text

    Bashcd /tmp/analysis && python3 build_memo.py && python3 /logs/agent/sessions/skills/docx/scripts/office/validate.py /workspace/output/grab_go_reset_memo.docx 2>&1 (+description)

    Arguments

    Rebuild memo with fixes and validate

    cd /tmp/analysis && python3 build_memo.py && python3 /logs/agent/sessions/skills/docx/scripts/office/validate.py /workspace/output/grab_go_reset_memo.docx 2>&1

    Output

    Exit code 1
Full memo saved. Paragraphs: 46 Tables: 4

FAILED - Found NEW validation errors:
  word/document.xml: 1 new error(s)
    - Element '{http://schemas.openxmlformats.org/wordprocessingml/2006/main}left': This element is not expected. Expected is one of ( {http://schemas.openxmlformats.org/wordprocessingml/2006/main}end, {http://schemas.openxmlformats.org/wordprocessingml/20...

Paragraphs: 0 → 163 (+163)

[error] tool reported failure
  63. 96Bash224k1

    Tool execution only — no assistant text

    Bashcd /tmp && rm -rf memo_unpacked && python3 /logs/agent/sessions/skills/docx/scripts/office/unpack.py /workspace/output/grab_go_reset_memo.docx memo_unpacked/ 2>&1 | tail -5 grep -n "w:left" memo_unpacked/word/document.xml | head -20 (+description)3k chars

    Arguments

    Unpack memo and inspect w:left element context

    cd /tmp && rm -rf memo_unpacked && python3 /logs/agent/sessions/skills/docx/scripts/office/unpack.py /workspace/output/grab_go_reset_memo.docx memo_unpacked/ 2>&1 | tail -5
grep -n "w:left" memo_unpacked/word/document.xml | head -20

    Output

    Unpacked /workspace/output/grab_go_reset_memo.docx (16 XML files), simplified 0 tracked changes, merged 0 runs
49:              <w:left w:w="0" w:type="dxa"/>
71:              <w:left w:w="0" w:type="dxa"/>
95:              <w:left w:w="0" w:type="dxa"/>
117:              <w:left w:w="0" w:type="dxa"/>
141:              <w:left w:w="0" w:type="dxa"/>
163:              <w:left w:w="0" w:type="dxa"/>
187:              <w:left w:w="0" w:type="dxa"/>
209:              <w:left w:w="0" w:type="dxa"/>
506:              <w:left w:val="single" w:sz="4" w:space="0" w:color="BFBFBF"/>
514:              <w:left w:w="100" w:type="dxa"/>
539:              <w:left w:val="single" w:sz="4" w:space="0" w:color="BFBFBF"/>
547:              <w:left w:w="100" w:type="dxa"/>
572:              <w:left w:val="single" w:sz="4" w:space="0" w:color="BFBFBF"/>
580:              <w:left w:w="100" w:type="dxa"/>
605:              <w:left w:val="single" w:sz="4" w:space="0" w:color="BFBFBF"/>
613:              <w:le

    … 1,710 more characters of output in the raw trajectory.

  64. 98Read225k1

    Tool execution only — no assistant text

    Read/tmp/memo_unpacked/word/document.xml (+offset, limit)2k chars

    Arguments

    file_path
    /tmp/memo_unpacked/word/document.xml
    offset
    30
    limit
    30

    Output

    30	    </w:p>
31	    <w:tbl>
32	      <w:tblPr>
33	        <w:tblW w:type="auto" w:w="0"/>
34	        <w:jc w:val="left"/>
35	        <w:tblLayout w:type="fixed"/>
36	        <w:tblLook w:firstColumn="1" w:firstRow="1" w:lastColumn="0" w:lastRow="0" w:noHBand="0" w:noVBand="1" w:val="04A0"/>
37	      </w:tblPr>
38	      <w:tblGrid>
39	        <w:gridCol w:w="1008"/>
40	        <w:gridCol w:w="9072"/>
41	      </w:tblGrid>
42	      <w:tr>
43	        <w:tc>
44	          <w:tcPr>
45	            <w:tcW w:type="dxa" w:w="1008"/>
46	            <w:tcMar>
47	              <w:top w:w="20" w:type="dxa"/>
48	              <w:bottom w:w="20" w:type="dxa"/>
49	              <w:left w:w="0" w:type="dxa"/>
50	              <w:right w:w="100" w:type="dxa"/>
51	            </w:tcMar>
52	          </w:tcPr>
53	          <w:p>
54	            <w:r/>
55	            <w:r>
56	              <w:rPr>
57	                <w:rFonts w:ascii="Arial" w:hAnsi="Arial"/>
58	                <w:b/>
59	                <w:

    … 1,180 more characters of output in the raw trajectory.

  65. 100Found it — my tcMar children were added in the wrong order (top, bottom, left, right instead of top, left, bottom, right…227k

    Found it — my tcMar children were added in the wrong order (top, bottom, left, right instead of top, left, bottom, right). Fixing:

  66. 101Edit1

    Tool execution only — no assistant text

    Edit/tmp/analysis/docx_helpers.py (+replace_all, old_string, new_string)5k chars

    Arguments

    replace_all
    false
    file_path
    /tmp/analysis/docx_helpers.py
    old_string
        mar = OxmlElement('w:tcMar')
    for edge, val in (('top',top),('bottom',bottom),('left',left),('right',right)):
    new_string
        mar = OxmlElement('w:tcMar')
    for edge, val in (('top',top),('left',left),('bottom',bottom),('right',right)):

    Output

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

[metadata]
filePath: /tmp/analysis/docx_helpers.py
oldString: |
      mar = OxmlElement('w:tcMar')
      for edge, val in (('top',top),('bottom',bottom),('left',left),('right',right)):
newString: |
      mar = OxmlElement('w:tcMar')
      for edge, val in (('top',top),('left',left),('bottom',bottom),('right',right)):
originalFile: |
  from docx.oxml.ns import qn
  from docx.oxml import OxmlElement
  from docx.shared import Pt, RGBColor
  
  NAVY = RGBColor(0x1F, 0x38, 0x64)
  DKGRAY = RGBColor(0x40, 0x40, 0x40)
  RED = RGBColor(0xC0, 0x00, 0x00)
  GREEN = RGBColor(0x00, 0x61, 0x00)
  
  TCPR_ORDER = ['cnfStyle','tcW','gridSpan','hMerge','vMerge','tcBorders','shd','noWrap',
                'tcMar','textDirection','tcFitText','vAlign','hideMark','headers']
  
  def fix_tcpr_order(cell):
      tcPr = cell._tc.get_or_add_tcPr()
      order_index = {qn(f'w:{tag}'):

    … 3,510 more characters of output in the raw trajectory.

  67. 102Bash227k1

    Tool execution only — no assistant text

    Bashcd /tmp/analysis && python3 build_memo.py && python3 /logs/agent/sessions/skills/docx/scripts/office/validate.py /workspace/output/grab_go_reset_memo.docx 2>&1 (+description)

    Arguments

    Rebuild memo and validate again

    cd /tmp/analysis && python3 build_memo.py && python3 /logs/agent/sessions/skills/docx/scripts/office/validate.py /workspace/output/grab_go_reset_memo.docx 2>&1

    Output

    Full memo saved. Paragraphs: 46 Tables: 4

Paragraphs: 0 → 163 (+163)
All validations PASSED!
Shell cwd was reset to /workspace

[stdout]
Full memo saved. Paragraphs: 46 Tables: 4

Paragraphs: 0 → 163 (+163)
All validations PASSED!
[stderr]

Shell cwd was reset to /workspace
[metadata]
noOutputExpected: false
  68. 103All validations pass. Let me now visually inspect the rendered pages to confirm formatting looks right.227k

    All validations pass. Let me now visually inspect the rendered pages to confirm formatting looks right.

  69. 104Bash1

    Tool execution only — no assistant text

    Bashcd /tmp && rm -f memo_preview*.pdf memo_preview*.jpg python3 /logs/agent/sessions/skills/docx/scripts/office/soffice.py --headless --convert-to pdf --outdir /tmp /workspace/output/grab_go_reset_memo.docx 2>&1 | tail -5 pdftoppm -jpeg -r 100 /tmp/grab_go_reset_memo.pdf /tmp/memo_preview ls /tmp/memo_preview*.jpg (+description)

    Arguments

    Convert memo to PDF and render page images for visual review

    cd /tmp && rm -f memo_preview*.pdf memo_preview*.jpg
python3 /logs/agent/sessions/skills/docx/scripts/office/soffice.py --headless --convert-to pdf --outdir /tmp /workspace/output/grab_go_reset_memo.docx 2>&1 | tail -5
pdftoppm -jpeg -r 100 /tmp/grab_go_reset_memo.pdf /tmp/memo_preview
ls /tmp/memo_preview*.jpg

    Output

    Warning: failed to launch javaldx - java may not function correctly
convert /workspace/output/grab_go_reset_memo.docx as a Writer document -> /tmp/grab_go_reset_memo.pdf using filter : writer_pdf_Export
/tmp/memo_preview-1.jpg
/tmp/memo_preview-2.jpg
/tmp/memo_preview-3.jpg
/tmp/memo_preview-4.jpg
/tmp/memo_preview-5.jpg
Shell cwd was reset to /workspace

[stdout]
Warning: failed to launch javaldx - java may not function correctly
convert /workspace/output/grab_go_reset_memo.docx as a Writer document -> /tmp/grab_go_reset_memo.pdf using filter : writer_pdf_Export
/tmp/memo_preview-1.jpg
/tmp/memo_preview-2.jpg
/tmp/memo_preview-3.jpg
/tmp/memo_preview-4.jpg
/tmp/memo_preview-5.jpg
[stderr]

Shell cwd was reset to /workspace
[metadata]
noOutputExpected: false
  70. 1055 pages, appropriate for the content. Let me view all of them.228k

    5 pages, appropriate for the content. Let me view all of them.

  71. 106Read1

    Tool execution only — no assistant text

    Read/tmp/memo_preview-1.jpg462k chars

    Arguments

    /tmp/memo_preview-1.jpg

    Output

    type: image
source:
  type: base64
  data: 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

    … 461,293 more characters of output in the raw trajectory.

  72. 107Read1

    Tool execution only — no assistant text

    Read/tmp/memo_preview-2.jpg503k chars

    Arguments

    /tmp/memo_preview-2.jpg

    Output

    type: image
source:
  type: base64
  data: 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

    … 501,773 more characters of output in the raw trajectory.

  73. 108Read1

    Tool execution only — no assistant text

    Read/tmp/memo_preview-3.jpg447k chars

    Arguments

    /tmp/memo_preview-3.jpg

    Output

    type: image
source:
  type: base64
  data: 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

    … 445,821 more characters of output in the raw trajectory.

  74. 109This looks clean and professional. Let me check the remaining pages.232k

    This looks clean and professional. Let me check the remaining pages.

  75. 110Read1

    Tool execution only — no assistant text

    Read/tmp/memo_preview-4.jpg373k chars

    Arguments

    /tmp/memo_preview-4.jpg

    Output

    type: image
source:
  type: base64
  data: 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

    … 371,837 more characters of output in the raw trajectory.

  76. 111Read1

    Tool execution only — no assistant text

    Read/tmp/memo_preview-5.jpg240k chars

    Arguments

    /tmp/memo_preview-5.jpg

    Output

    type: image
source:
  type: base64
  data: 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

    … 238,588 more characters of output in the raw trajectory.

  77. 113Let me visually spot-check the workbook's key tabs for formatting quality.235k

    Let me visually spot-check the workbook's key tabs for formatting quality.

  78. 114Bash1

    Tool execution only — no assistant text

    Bashcd /tmp && rm -f wb_preview*.pdf wb_preview*.jpg timeout 90 python3 /logs/agent/sessions/skills/docx/scripts/office/soffice.py --headless --convert-to pdf --outdir /tmp /workspace/output/reset_decision_workbook.xlsx 2>&1 | tail -5 pdfinfo /tmp/reset_decision_workbook.pdf 2>/dev/null | grep Pages pdftoppm -jpeg -r 100 -f 1 -l 6 /tmp/reset_decision_workbook.pdf /tmp/wb_preview ls /tmp/wb_preview*.jpg (+description)

    Arguments

    Convert workbook to PDF and render first pages for visual review

    cd /tmp && rm -f wb_preview*.pdf wb_preview*.jpg
timeout 90 python3 /logs/agent/sessions/skills/docx/scripts/office/soffice.py --headless --convert-to pdf --outdir /tmp /workspace/output/reset_decision_workbook.xlsx 2>&1 | tail -5
pdfinfo /tmp/reset_decision_workbook.pdf 2>/dev/null | grep Pages
pdftoppm -jpeg -r 100 -f 1 -l 6 /tmp/reset_decision_workbook.pdf /tmp/wb_preview
ls /tmp/wb_preview*.jpg

    Output

    Warning: failed to launch javaldx - java may not function correctly
convert /workspace/output/reset_decision_workbook.xlsx as a Calc document -> /tmp/reset_decision_workbook.pdf using filter : calc_pdf_Export
Pages:           69
/tmp/wb_preview-01.jpg
/tmp/wb_preview-02.jpg
/tmp/wb_preview-03.jpg
/tmp/wb_preview-04.jpg
/tmp/wb_preview-05.jpg
/tmp/wb_preview-06.jpg
Shell cwd was reset to /workspace

[stdout]
Warning: failed to launch javaldx - java may not function correctly
convert /workspace/output/reset_decision_workbook.xlsx as a Calc document -> /tmp/reset_decision_workbook.pdf using filter : calc_pdf_Export
Pages:           69
/tmp/wb_preview-01.jpg
/tmp/wb_preview-02.jpg
/tmp/wb_preview-03.jpg
/tmp/wb_preview-04.jpg
/tmp/wb_preview-05.jpg
/tmp/wb_preview-06.jpg
[stderr]

Shell cwd was reset to /workspace
[metadata]
noOutputExpected: false
  79. 116Read236k1

    Tool execution only — no assistant text

    Read/tmp/wb_preview-01.jpg162k chars

    Arguments

    /tmp/wb_preview-01.jpg

    Output

    type: image
source:
  type: base64
  data: 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

    … 160,580 more characters of output in the raw trajectory.

  80. 117Read1

    Tool execution only — no assistant text

    Read/tmp/wb_preview-03.jpg131k chars

    Arguments

    /tmp/wb_preview-03.jpg

    Output

    type: image
source:
  type: base64
  data: 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

    … 129,892 more characters of output in the raw trajectory.

  81. 118Read1

    Tool execution only — no assistant text

    Read/tmp/wb_preview-02.jpg122k chars

    Arguments

    /tmp/wb_preview-02.jpg

    Output

    type: image
source:
  type: base64
  data: 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

    … 121,372 more characters of output in the raw trajectory.

  82. 120The data itself is correct, but wide sheets don't fit print width nicely. Let me add print setup (landscape, fit-to-widt…241k

    The data itself is correct, but wide sheets don't fit print width nicely. Let me add print setup (landscape, fit-to-width, repeating headers) for a more polished result if opened or printed.

  83. 121Bash1

    Tool execution only — no assistant text

    Bashcat > /tmp/analysis/patch_print_setup.py << 'PYEOF' from openpyxl import load_workbook from openpyxl.worksheet.page import PageMargins wb = load_workbook('/workspace/output/reset_decision_workbook.xlsx') configs = { "Cluster Summary": (4, "landscape"), "Capacity Check": (4, "landscape"), "Proposal Reconciliation": (4, "landscape"), "Item Economics": (4, "landscape"), "Demand & Waste Detail": (4, "landscape"), "Signed Vendor Terms": (4, "landscape"), } for name, (hdr_row, orient) in configs.items(): ws = wb[name]

    Arguments

    cat > /tmp/analysis/patch_print_setup.py << 'PYEOF'
from openpyxl import load_workbook
from openpyxl.worksheet.page import PageMargins

wb = load_workbook('/workspace/output/reset_decision_workbook.xlsx')

configs = {
    "Cluster Summary": (4, "landscape"),
    "Capacity Check": (4, "landscape"),
    "Proposal Reconciliation": (4, "landscape"),
    "Item Economics": (4, "landscape"),
    "Demand & Waste Detail": (4, "landscape"),
    "Signed Vendor Terms": (4, "landscape"),
}

for name, (hdr_row, orient) in configs.items():
    ws = wb[name]

    … 953 more characters of arguments in the raw trajectory.

    Output

    print setup patched
{
  "status": "success",
  "total_errors": 0,
  "error_summary": {},
  "total_formulas": 1879
}

[stdout]
print setup patched
{
  "status": "success",
  "total_errors": 0,
  "error_summary": {},
  "total_formulas": 1879
}
[metadata]
noOutputExpected: false
  84. 123Bash242k1

    Tool execution only — no assistant text

    Bashcd /tmp && rm -f wb2_preview*.pdf wb2_preview*.jpg timeout 90 python3 /logs/agent/sessions/skills/docx/scripts/office/soffice.py --headless --convert-to pdf --outdir /tmp /workspace/output/reset_decision_workbook.xlsx 2>&1 | tail -3 mv /tmp/reset_decision_workbook.pdf /tmp/wb2.pdf 2>/dev/null pdfinfo /tmp/wb2.pdf 2>/dev/null | grep Pages pdftoppm -jpeg -r 100 -f 1 -l 3 /tmp/wb2.pdf /tmp/wb2_preview (+description)

    Arguments

    Re-render workbook PDF with new print setup for visual check

    cd /tmp && rm -f wb2_preview*.pdf wb2_preview*.jpg
timeout 90 python3 /logs/agent/sessions/skills/docx/scripts/office/soffice.py --headless --convert-to pdf --outdir /tmp /workspace/output/reset_decision_workbook.xlsx 2>&1 | tail -3
mv /tmp/reset_decision_workbook.pdf /tmp/wb2.pdf 2>/dev/null
pdfinfo /tmp/wb2.pdf 2>/dev/null | grep Pages
pdftoppm -jpeg -r 100 -f 1 -l 3 /tmp/wb2.pdf /tmp/wb2_preview

    Output

    Warning: failed to launch javaldx - java may not function correctly
convert /workspace/output/reset_decision_workbook.xlsx as a Calc document -> /tmp/reset_decision_workbook.pdf using filter : calc_pdf_Export
Overwriting: /tmp/reset_decision_workbook.pdf
Pages:           15
Shell cwd was reset to /workspace

[stdout]
Warning: failed to launch javaldx - java may not function correctly
convert /workspace/output/reset_decision_workbook.xlsx as a Calc document -> /tmp/reset_decision_workbook.pdf using filter : calc_pdf_Export
Overwriting: /tmp/reset_decision_workbook.pdf
Pages:           15
[stderr]

Shell cwd was reset to /workspace
[metadata]
noOutputExpected: false
  85. 125Read242k1

    Tool execution only — no assistant text

    Read/tmp/wb2_preview-1.jpg

    Arguments

    /tmp/wb2_preview-1.jpg

    Output

    File does not exist. Note: your current working directory is /workspace.

[error] tool reported failure
  86. 126Read1

    Tool execution only — no assistant text

    Read/tmp/wb2_preview-2.jpg

    Arguments

    /tmp/wb2_preview-2.jpg

    Output

    File does not exist. Note: your current working directory is /workspace.

[error] tool reported failure
  87. 128Bash243k1

    Tool execution only — no assistant text

    Bashls /tmp/wb2_preview*.jpg (+description)

    Arguments

    List rendered preview images with full paths

    ls /tmp/wb2_preview*.jpg

    Output

    /tmp/wb2_preview-01.jpg
/tmp/wb2_preview-02.jpg
/tmp/wb2_preview-03.jpg

[stdout]
/tmp/wb2_preview-01.jpg
/tmp/wb2_preview-02.jpg
/tmp/wb2_preview-03.jpg
[metadata]
noOutputExpected: false
  88. 129Read243k1

    Tool execution only — no assistant text

    Read/tmp/wb2_preview-01.jpg137k chars

    Arguments

    /tmp/wb2_preview-01.jpg

    Output

    type: image
source:
  type: base64
  data: 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

    … 136,476 more characters of output in the raw trajectory.

  89. 130Read1

    Tool execution only — no assistant text

    Read/tmp/wb2_preview-02.jpg159k chars

    Arguments

    /tmp/wb2_preview-02.jpg

    Output

    type: image
source:
  type: base64
  data: 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

    … 158,276 more characters of output in the raw trajectory.

  90. 132Bash246k1

    Tool execution only — no assistant text

    Bashpdftoppm -jpeg -r 100 -f 3 -l 5 /tmp/wb2.pdf /tmp/wb2b_preview ls /tmp/wb2b_preview*.jpg (+description)

    Arguments

    Render pages 3-5 (Proposal Reconciliation) for review

    pdftoppm -jpeg -r 100 -f 3 -l 5 /tmp/wb2.pdf /tmp/wb2b_preview
ls /tmp/wb2b_preview*.jpg

    Output

    /tmp/wb2b_preview-03.jpg
/tmp/wb2b_preview-04.jpg
/tmp/wb2b_preview-05.jpg

[stdout]
/tmp/wb2b_preview-03.jpg
/tmp/wb2b_preview-04.jpg
/tmp/wb2b_preview-05.jpg
[metadata]
noOutputExpected: false
  91. 133Read246k1

    Tool execution only — no assistant text

    Read/tmp/wb2b_preview-03.jpg348k chars

    Arguments

    /tmp/wb2b_preview-03.jpg

    Output

    type: image
source:
  type: base64
  data: 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

    … 346,709 more characters of output in the raw trajectory.

  92. 134Read1

    Tool execution only — no assistant text

    Read/tmp/wb2b_preview-04.jpg176k chars

    Arguments

    /tmp/wb2b_preview-04.jpg

    Output

    type: image
source:
  type: base64
  data: 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

    … 174,900 more characters of output in the raw trajectory.

  93. 136Bash249k1

    Tool execution only — no assistant text

    Bashpdftoppm -jpeg -r 100 -f 6 -l 8 /tmp/wb2.pdf /tmp/wb2c_preview ls /tmp/wb2c_preview*.jpg (+description)

    Arguments

    Render remaining sheets for review

    pdftoppm -jpeg -r 100 -f 6 -l 8 /tmp/wb2.pdf /tmp/wb2c_preview
ls /tmp/wb2c_preview*.jpg

    Output

    /tmp/wb2c_preview-06.jpg
/tmp/wb2c_preview-07.jpg
/tmp/wb2c_preview-08.jpg

[stdout]
/tmp/wb2c_preview-06.jpg
/tmp/wb2c_preview-07.jpg
/tmp/wb2c_preview-08.jpg
[metadata]
noOutputExpected: false
  94. 137Read249k1

    Tool execution only — no assistant text

    Read/tmp/wb2c_preview-06.jpg217k chars

    Arguments

    /tmp/wb2c_preview-06.jpg

    Output

    type: image
source:
  type: base64
  data: 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

    … 215,676 more characters of output in the raw trajectory.

  95. 138Read1

    Tool execution only — no assistant text

    Read/tmp/wb2c_preview-07.jpg471k chars

    Arguments

    /tmp/wb2c_preview-07.jpg

    Output

    type: image
source:
  type: base64
  data: 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

    … 469,941 more characters of output in the raw trajectory.

  96. 140Bash252k1

    Tool execution only — no assistant text

    Bashls -la /workspace/output/ (+description)

    Arguments

    Confirm final deliverables are in place

    ls -la /workspace/output/

    Output

    total 120
drwxr-xr-x 2 root root  4096 Aug 20 07:43 .
drwxr-xr-x 1 root root  4096 Aug 20 07:22 ..
-rw-r--r-- 1 root root 43755 Aug 20 07:42 grab_go_reset_memo.docx
-rw-r--r-- 1 root root 68458 Aug 20 07:43 reset_decision_workbook.xlsx

[stdout]
total 120
drwxr-xr-x 2 root root  4096 Aug 20 07:43 .
drwxr-xr-x 1 root root  4096 Aug 20 07:22 ..
-rw-r--r-- 1 root root 43755 Aug 20 07:42 grab_go_reset_memo.docx
-rw-r--r-- 1 root root 68458 Aug 20 07:43 reset_decision_workbook.xlsx
[metadata]
noOutputExpected: false
  97. 141Both deliverables are complete in /workspace/output/. grab_go_reset_memo.docx — merchant-facing memo: bottom line, the 5…253k

    Both deliverables are complete in /workspace/output/.

    grab_go_reset_memo.docx — merchant-facing memo: bottom line, the 5 highest-risk parts of the proposal, revised cluster-level assortment, supporting economics, capacity reconciliation, and pre-launch action items.

    reset_decision_workbook.xlsx — 8-tab supporting workbook (Cluster Summary, Capacity Check, Proposal Reconciliation, Item Economics, Demand & Waste Detail, Signed Vendor Terms, Raw Data, Read Me), fully formula-driven off the source data (1,879 formulas, zero errors).

    Key findings, working strictly from the four source files:

    • The proposal doesn't fit the live case. 4 of 5 clusters run 0.5 tray slots over capacity; Metro Core has zero slack. The revised plan fits everywhere with buffer to spare.
    • It conflicts with signed vendor terms three times: Caprese Ciabatta is proposed for Highway/Travel, but GreenFork's letter blocks that route; Spicy Tuna Sushi Roll is proposed for Commuter/Campus, but Sakura's letter covers only Metro Core route M-11; Turkey Cranberry Sandwich is kept in Highway/Travel, but EatWell's letter cuts off billbacks after Jan 31 and it's a winter item.
    • It would leave two clusters with zero vegetarian option (Highway/Travel, Rural North) once Hummus is pulled everywhere and Caprese can't legally route there — a direct violation of the handoff's mandatory rule. Fixed by reinstating Hummus in both.
    • Net effect: revised plan delivers +14.9% network GP over current ($6,077→$6,984/week) while cutting network waste 15.9% ($422→$355/week) — the buyer's proposal as submitted would have increased waste 9.4%, the opposite of the reset's purpose.

    One implementation note: Node.js wasn't available in this environment for the docx skill's usual JS path, so I built the memo with python-docx instead, fixing a couple of OOXML element-ordering issues along the way and confirming the file passes full schema validation.

5 failure modes across 8 verifier failures

  1. 1Allocation 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.

  2. 2Quantity, 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.

  3. 3Required Rationale or Authority Statement OmittedView on Failure Modes ↗Presentation and Communication2 failures

    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.

    • The memo applies signed vendor terms and internal data correctly in specific decisions but never states the explicit trust-hierarchy principle that internal sales, waste, and inventory records govern demand over supplier or buyer claims.

  4. 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.

  5. 5Required Evidence Fields or Rows OmittedView on Failure Modes ↗Deliverable Completion and Structure1 failure

    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 workbook lacks the row-level economics fields the rubric requires, such as scan credit dollars, margin, out-of-stock rate, or net contribution.