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task_116Retail trade

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

TaxonomyRetail tradeGeneral and operations managers

All trialsClaude Opus 5claude-codeTrial 02

65%

Trial reward

Claude Opus 5Fail

Trial 02 — 2nd of 4 by reward score. This model averages 65.8% across 4 trials on this task.

  • 11/15Core verifiers passed
  • 12/18All verifiers passed
  • 4Core failed
  • 116Turns
  • 72Tool calls
  • $8.19Cost
  • 34.5mTime
  • 120kOutput tokens

Missed 4 of 15 core — traffic_profit, execution and core_final_facings and 1 more, plus 2 secondary.

core (15)

  • sushi_routeLLMPass
    Why it matters

    Sushi is the most tempting vendor-led trap because supplier notes conflict with signed launch terms.

    How to pass

    Checks whether the memo makes the correct route-limited sushi recommendation.

    Reads

  • capacityLLMPass
    Why it matters

    A professional reset recommendation must catch the specific physical overfills before Space Planning releases the case set.

    How to pass

    Checks whether the memo identifies the exact buyer-proposal capacity conflicts by cluster and amount.

    Reads

  • vegetarian_roleLLMPass
    Why it matters

    Retail food-to-go resets must protect mission coverage while avoiding a poor substitute.

    How to pass

    Checks whether the memo protects credible vegetarian coverage with the correct item logic.

    Reads

  • seasonalLLMPass
    Why it matters

    Keeping or ambiguously deferring an unsupported winter perishable in July would create avoidable shrink and execution confusion.

    How to pass

    Checks whether the memo makes a concrete all-cluster zero-facing decision for the winter seasonal SKU.

    Reads

  • traffic_profitLLMFail
    Why it matters

    The task requires a decision that protects lunch traffic and profit, not just deletes weak SKUs.

    How to pass

    Checks whether the memo prioritizes the core traffic and profitable launch items.

    Reads

    Failure mode Required Rationale or Authority Statement Omitted

    Why it failed

    The memo protects Chicken Caesar Wrap and gives Protein Snack Box launch space but never states the full required rationale together: OOS pressure for Caesar, and pilot performance, low waste, code date, and scan credit for Protein Snack Box.

    Justification

    The memo does treat Chicken Caesar Wrap as a protected traffic driver: it calls it 'the item that carries lunch traffic,' cites the worst OOS rates in Highway and Rural, and adds a second facing in Commuter. It also gives Protein Snack Box launch space and notes its 5-day code date and signed scan credit. However, it does not explicitly identify Protein Snack Box as a priority because of strong pilot performance and low waste; instead it mainly mentions vendor support, code-date fit, and a Rural cut to one facing. Because the rubric requires both items to be identified on those grounds, the output fails.

  • trust_hierarchyLLMPass
    Why it matters

    The task's central trap is that supplier projections and proposal comments conflict with the authoritative demand and vendor-term sources.

    How to pass

    Checks whether the memo substantively applies the source hierarchy instead of merely naming it.

    Reads

  • scope_controlLLMPass
    Why it matters

    The first four weeks must be executable using only the already available items, case capacity, and signed operating terms.

    How to pass

    Checks whether the memo avoids invented SKUs, capacity, delivery days, credits, and route assumptions.

    Reads

  • executionLLMFail
    Why it matters

    The senior merchant needs a first-four-week reset decision that Space Planning and field operations can execute without interpreting generic advice.

    How to pass

    Checks whether the memo provides an executable revised cluster-level assortment with slot totals.

    Reads

    Failure mode Allocation or Selection Plan Incorrect

    Why it failed

    The memo's cluster-level final facings and slot totals consistently differ from the required exact values for Metro, Highway, and Rural North.

    Justification

    The memo does provide cluster-level final facings and slot totals, but it does not satisfy all required outcomes. Metro Core is split into Metro A and Metro B; Metro B shows 11.5 slots with Hummus Veggie Wrap 1 and no Sushi, not a single Metro Core plan of 12.0 slots with Sushi 1, Protein 2, Caprese 1, and Hummus 0. Highway / Travel shows Protein Snack Box 2, not the required 1. Rural North shows 6.5 slots and Southwest Chicken Bowl 1, not the required 6.0 slots and zero Southwest Chicken Bowl.

  • 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 facing plan in Sheet 3 does not satisfy the rubric. Chicken Caesar Wrap (GGS-84QJ) is 1 facing in Highway and 1 in Rural, not the required 2 in each, and the rubric explicitly fails any case where Chicken Caesar is below 2 in any cluster. There are also other material mismatches: Protein Snack Box (GGS-6BGH) is 2 in Highway instead of 1, and Southwest Chicken Bowl (GGS-9PQL) is 1 in Rural instead of 0.

  • 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 show numeric capacity reconciliation with live capacities 12.0/10.0/10.0/8.0/7.0 and separately shows proposal overages of +0.5 for Commuter, Campus, Highway, and Rural. However, the final recommended tray-slot uses do not fully match the rubric: Rural North is shown as 6.5 of 7.0 slots (Sheet 4B and Sheet 3 total), not the required 6.0, and Metro is split into MET-A 12.0 and MET-B 11.5 rather than a single final Metro 12.0 figure.

  • 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_roleLLMPass
    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

  • vendor_termsLLMPass
    Why it matters

    Vendor-term accuracy is essential because unsupported credits or route eligibility would make the reset economics and execution plan unusable.

    How to pass

    Checks whether the workbook applies each signed vendor term with exact item, cluster, and credit constraints.

    Reads

  • calculationsLLMPass
    Why it matters

    A supporting workbook must let reviewers verify margin, shrink, credit, OOS, and capacity logic instead of trusting unexplained conclusions.

    How to pass

    Checks whether the workbook includes auditable numeric economics and calculation evidence behind the decisions.

    Reads

secondary (3)

  • capacity_disciplineLLMFail
    Why it matters

    Perishable reset discipline means avoiding shrink even when that leaves small amounts of capacity unused.

    How to pass

    Checks whether the memo accepts specific underfilled capacity rather than force-filling weak perishables.

    Reads

    Failure mode Quantity, Cost, Capacity, or Rate Calculation Wrong

    Why it failed

    The memo correctly argues for leaving some capacity open rather than force-filling weak items, but the specific Highway and Rural North open-slot numbers do not match the required 7.5/8.0 and 6.0/7.0 values.

    Justification

    The memo does explicitly accept unused space—"Three clusters end with 0.5 of a tray slot open... that space stays empty"—and prefers that over forcing weak/unsupported items, rejecting Caprese in Highway and Egg Salad/Turkey Cranberry in Rural/Highway. However, it does not meet the rubric’s required Rural numeric condition: Highway is shown at 7.5 of 8.0 with 0.5 open, but Rural North is shown at 6.5 of 7.0 with 0.5 open, not 6.0 of 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_controlLLMFail
    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

    Failure mode Off-Scope Advice Added

    Why it failed

    The workbook's execution-risk or exceptions section proposes new vendor contract or routing terms, such as a GreenFork routing addendum or extended credit days, beyond the reset decision itself.

    Justification

    The workbook is mostly reset-focused and stays within the ten listed SKUs, but Sheet 8 ('Accepted Exceptions and Open Items') includes disallowed action items requiring route/contract changes: e.g., 'Open a routing addendum request with GreenFork for Caprese' and 'ask for the shrink credit to be extended below four delivery days.' Under the rubric, that fails.

2 deliverables · what this trial produced

grab_go_reset_memo.docx48 KB

BLUE MESA MARKET

Refrigerated Grab-and-Go Reset - Category Planning Recommendation

TO

L. Moreno, Senior Merchant - Prepared Foods

FROM

Category Planning

COPY

Space Planning; Field Operations

DATE

20 August 2026

SUBJECT

July 2026 grab-and-go reset - decision on the buyer proposal, weeks 1-4 (13 July - 9 August)

Recommendation

Release the reset with four changes to the buyer proposal, not as written. The proposal is a reasonable read on what the case should look like by autumn, but it does not fit the case we actually have in July. It exceeds available tray capacity in four of five clusters, it places three items on routes the signed offer letters do not cover, and it leaves two clusters without a compliant vegetarian option. Those are not tuning issues - they would surface as store-level execution failures in week one.

Of the 50 lines in the proposal I accept 35 as written, change 9, and reject 6. The revised set fits every cluster inside signed tray capacity and signed route terms, holds four-week gross profit essentially flat, and takes roughly a quarter of the shrink dollars out of the case.

Measure, weeks 1-4

Buyer proposal

Recommended

Change

Clusters over tray capacity

4 of 5

0

-4

Item placements outside signed vendor terms

4

0

-4

Clusters with no compliant vegetarian option

2

0

-2

Units sold

7,042

7,038

-4

Waste units

562

465

-98 (-17%)

Shrink at cost

$1,847

$1,408

-$439 (-24%)

Vendor support captured

$772

$663

-$109

Net contribution

$27,721

$27,280

-$441 (-1.6%)

Proposal figures are theoretical: the set as written cannot be built inside available trays or signed routes. Velocity is held at observed per-store rates, so the comparison gives the recommendation no credit for the space it adds behind faster items. Counting the out-of-stock recovery from those added facings, the gap narrows to $360, or 1.3%. Full derivation in the workbook, sheet 7.

The trade is straightforward: we give up about 1.6% of theoretical four-week gross profit on a set that cannot actually be built, and in exchange we get a set that fits, that stays inside what our vendors have signed, and that throws away 98 fewer units.

The four changes that matter

1. Sushi goes in, but only on the route Sakura actually signed

Proposal: add Spicy Tuna Sushi Roll at 2 facings in Metro Core and 1 facing each in Commuter Suburban and Campus / Hospital. Decision: 1 facing, Metro Core route M-11 stores only. Reject in Commuter and Campus.

This is the highest-risk line in the pack, and the risk is contractual before it is commercial. The signed Sakura letter grants the daily fresh route and the 50% waste credit to "Metro Core stores listed on route M-11" and to nothing else. It says in terms that the Campus and Commuter pilot samples were line-review tests and are not part of the launch commitment, and it excludes any service-level guarantee outside Metro Core. The proposal ranges the item in three clusters and all 18 Metro stores.

The internal read says the same thing the contract does. Metro pilot velocity is 3.15 units per store per week at 10.6% waste - a real result. Commuter is 1.13 units at 32.5% waste and Campus is 2.13 at 26.1%: the two worst waste lines anywhere in the proposal, on a one-day-code item that cannot be held over. The proposal comment instructing planners to "use supplier traffic estimate where pilot is thin" would have sized this launch off the single least reliable number in the pack - Sakura projected 4.4 units per store-week for Commuter against an actual 1.13, an overstatement of 293%.

On the signed route at one facing, sushi earns $11.42 per tray slot per store-week and is worth carrying. At two facings it consumes 3.0 of Metro's 12 tray slots to sell 3.15 units a week, which is more room than the data justifies. The released space goes to a second Southwest Chicken Bowl facing, the strongest slot in the Metro case.

2. Hummus Veggie Wrap stays - the proposal removes the vegetarian answer it cannot replace

Proposal: remove in all five clusters, add Caprese Ciabatta in three. Decision: retain at 1 facing in Commuter, Campus, Highway, Rural and the non-M-11 Metro stores.

This is the change I would flag hardest before this goes to field operations. The proposal removes Hummus everywhere but only adds Caprese in three clusters, and the signed GreenFork letter states that Highway / Travel and Rural North are not approved for Caprese route expansion. Executed as written, Highway / Travel would open the reset with no vegetarian lunch option at all, and Rural North would have only Egg Salad Croissant - which the handoff specifically bars from being a cluster's only vegetarian answer. Reinstating Hummus is worth $1,251 of four-week gross profit and is the single largest positive change in the recommendation.

In Commuter Suburban the swap fails on its own merits, not on routing. The Caprese pilot reads 1.83 units per store-week at 16.4% waste against Hummus at 2.18 units and 8.7% - the one cluster where the trade-up sells less and wastes twice as much as the item it replaces. GreenFork projected 3.2 units there, 75% above what the pilot actually did. Hummus keeps the slot.

3. Caprese Ciabatta is accepted where the pilot supports it - Metro Core and Campus / Hospital

In those two clusters the item earns its slot: 3.17 and 3.30 units per store-week at 6-8% waste, a higher gross profit per unit than Hummus, and both the $0.40 scan allowance and the 30% GreenFork shrink credit live because both clusters take five deliveries a week. In Campus / Hospital I am keeping Hummus alongside it rather than swapping. Meatless over-indexes in that cluster, Campus Hummus is the strongest read of that item anywhere in the chain, and the alternative use of the slot - a third Chicken Caesar facing - is worth about $34 over four weeks against $463. Some of the Hummus volume will re-split with Caprese; even at heavy cannibalisation the slot is better spent on Hummus.

4. Egg Salad Croissant and Turkey Cranberry Sandwich come out of the case entirely

Proposal: keep Egg Salad in Rural North and Turkey Cranberry in Highway / Travel. Decision: reject both retentions.

Both are held in the proposal on store advocacy rather than data, and the proposal comments say so - a district manager notes that "some regulars still ask for it," and highway stores "asked to keep one slot from winter if space allows." The records do not support either. Egg Salad in Rural runs 0.72 units per store-week at 24.3% waste; Turkey Cranberry in Highway runs 1.13 units at 22.4%. Both are the highest-waste lines in their clusters. Turkey Cranberry is also a winter feature on which EatWell authorises no returns or billbacks after 31 January 2026, so every unit of that shrink lands on us. Dropping the two of them costs $289 of gross profit and removes 33 waste units, and the space they free is what makes the mandatory vegetarian placement possible in both clusters.

Revised cluster assortment

Facings shown are final. Metro Core runs two planogram versions because sushi cannot be shipped to Metro stores off route M-11 under the signed terms; every other cluster runs one set. A dash means the item is not ranged in that cluster.

Item

Metro A(M-11)

Metro B(other)

Commuter

Campus

Highway

Rural

Chicken Caesar Wrap

2

2

2

2

1

1

Turkey Club Sandwich

1

1

2

1

2

2

Southwest Chicken Bowl (1.5 slots)

2

2

1

1

1

1

Cobb Salad (1.5 slots)

1

1

1

1

-

-

Protein Snack Box

2

2

2

2

2

1

Caprese Ciabatta

1

1

-

1

-

-

Hummus Veggie Wrap

-

1

1

1

1

1

Spicy Tuna Sushi Roll (1.5 slots)

1

-

-

-

-

-

Egg Salad Croissant

-

-

-

-

-

-

Turkey Cranberry Sandwich

-

-

-

-

-

-

SKUs carried

7

7

6

7

5

5

Tray slots used

12.0

11.5

10.0

10.0

7.5

6.5

Tray slots available

12.0

12.0

10.0

10.0

8.0

7.0

Open slots

0.0

0.5

0.0

0.0

0.5

0.5

Clusters are Metro Core, Commuter Suburban, Campus / Hospital, Highway / Travel and Rural North. Metro Core store split assumed at 9 route M-11 stores and 9 others - see execution risk 1. Southwest Chicken Bowl, Cobb Salad and Spicy Tuna Sushi Roll each consume 1.5 tray slots per facing, so a facing count is not the same as a slot count.

What changed against the proposal, by cluster

Cluster

Changes to the proposal

Slot effect

Metro Core

Sushi cut from 2 facings chainwide to 1 facing on route M-11. Southwest Chicken Bowl goes to 2 facings. Non-M-11 stores carry Hummus in the sushi space.

12.0 / 11.5 of 12.0

Commuter Suburban

Sushi rejected. Caprese rejected, Hummus retained. Chicken Caesar goes to 2 facings in the 26-store cluster.

10.0 of 10.0

Campus / Hospital

Sushi rejected. Hummus retained alongside Caprese.

10.0 of 10.0

Highway / Travel

Caprese rejected on the signed route block. Turkey Cranberry rejected. Hummus reinstated.

7.5 of 8.0

Rural North

Egg Salad rejected. Hummus reinstated. Protein Snack Box cut to 1 facing to free the vegetarian slot.

6.5 of 7.0

Capacity reconciliation

The handoff rules the September lease-line change out, records no incremental trays anywhere else, and bars partial facings. Against that, the proposal does not fit.

Cluster

Stores

Deliveriesper week

Traysavailable

Proposalrequires

Proposalresult

Reviseduses

Revisedresult

Metro Core

18

5

12.0

12.0

At the limit

12.0 / 11.5

Fits

Commuter Suburban

26

4

10.0

10.5

Over by 0.5

10.0

Fits

Campus / Hospital

11

5

10.0

10.5

Over by 0.5

10.0

Fits

Highway / Travel

15

3

8.0

8.5

Over by 0.5

7.5

Fits

Rural North

14

2

7.0

7.5

Over by 0.5

6.5

Fits

Metro Core reaches exactly 12.0 slots in the proposal only by giving sushi 3.0 slots in all 18 stores, which the signed Sakura route does not permit. Highway / Travel is also understated in the proposal: its Caprese line cannot be valued at all, because no internal pilot was run in that cluster and the signed letter excludes the route.

Three clusters end with 0.5 of a tray slot open. Nothing in the item master occupies half a slot, and the handoff bars using a partial facing to solve a capacity problem, so that space stays empty. In Highway and Rural that is the honest answer rather than a missed opportunity - Chicken Caesar is genuinely short of space in both, running the two worst out-of-stock rates in the chain at 0.267 and 0.331 store-days per store-week, but a second facing needs a full slot and there is not one to give.

Supporting economics

All demand figures below come from the eight weeks of internal sales, waste and inventory records ending 25 May 2026. Weekly trend across that window is flat, so the averages are stable. Supplier projections are not used in any calculation.

Movement from the proposal to the recommendation, four weeks

Change

Cluster

Net GP

Waste units

Reject sushi - outside the signed route

Commuter

($423)

-56

Reject sushi - outside the signed route

Campus

($390)

-33

Hold sushi to route M-11 at 1 facing

Metro

($617)

-14

Reject Caprese, retain Hummus

Commuter

$28

-16

Reinstate Hummus Veggie Wrap

Campus

$463

+11

Reinstate Hummus Veggie Wrap

Highway

$297

+18

Reinstate Hummus Veggie Wrap

Rural

$252

+19

Reinstate Hummus Veggie Wrap (non-M-11 stores)

Metro

$238

+6

Reject Egg Salad Croissant

Rural

($100)

-13

Reject Turkey Cranberry Sandwich

Highway

($188)

-20

Protein Snack Box 2 facings to 1

Rural

$0

0

Total movement

($441)

-98

Out-of-stock recovery from added facings

Metro, Commuter

$81

0

Net position against the proposal

($360)

-98

Where the case makes its money - net contribution per tray slot, per store-week

Item

MET

COM

CAM

HWY

RUR

Codedays

Vendor support in the signed terms

Chicken Caesar Wrap

$19.18

$17.31

$23.91

$16.42

$12.82

3

None

Turkey Club Sandwich

$11.57

$16.49

$12.88

$17.74

$15.00

3

None

Southwest Chicken Bowl

$12.93

$8.73

$13.23

$5.96

$3.43

3

None

Protein Snack Box

$17.06

$15.86

$22.93

$10.86

$7.28

5

$0.35 / unit scan, all clusters

Caprese Ciabatta

$12.95

$7.06

$13.67

n/a

n/a

2

$0.40 / unit scan; 30% shrink credit

Spicy Tuna Sushi Roll

$11.42

$2.72

$5.91

n/a

n/a

1

50% waste credit, M-11 only

Hummus Veggie Wrap

$6.61

$7.33

$10.52

$4.96

$4.50

2

30% shrink credit at 4+ deliveries

Cobb Salad

$9.00

$8.49

$7.03

$2.87

$1.74

3

No signed letter on file

Egg Salad Croissant

$3.37

$3.12

$4.21

$2.05

$1.79

2

No signed letter on file

Turkey Cranberry Sandwich

$2.23

$2.80

$1.92

$3.14

$2.34

3

No billback after 31 Jan 2026

MET Metro Core, COM Commuter Suburban, CAM Campus / Hospital, HWY Highway / Travel, RUR Rural North. Net contribution = gross profit, less shrink at cost, plus only those vendor credits a signed letter actually grants that cluster, divided by tray slots at one facing. Figures shown greyed as n/a have no internal pilot read in that cluster. Highway / Travel and Rural North earn no GreenFork shrink credit because they take fewer than four deliveries a week.

What the supplier projections would have done to the set

The handoff bars supplier projections as a demand source, and the reason shows up clearly when they are measured against our own records. Urban Spoon is the only vendor whose numbers land inside a normal planning tolerance - between 4% under and 25% over the internal read on the Protein Snack Box. GreenFork is close in Metro and Campus but 75% high in Commuter, the one cluster where its item fails. Every Sakura sushi projection is between 62% and 293% above what the pilot actually sold. Had the proposal been sized on those estimates, we would have committed roughly 4.5 tray slots across three clusters to an item that sells 1-2 units a store a week outside Metro, on a one-day code, with no credit and no service guarantee.

42 more paragraphs not shown.

User prompt → 116 turns · 72 tool calls → final responseclaude-code

86 of 116 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. 2I'll start by reviewing the attached materials.21k

    I'll start by reviewing the attached materials.

  3. 3Bash1

    Tool execution only — no assistant text

    Bashfind /workspace -type f -not -path "*/node_modules/*" -not -path "*/.git/*" | head -100 (+description)

    Arguments

    List all files in workspace

    find /workspace -type f -not -path "*/node_modules/*" -not -path "*/.git/*" | head -100

    Output

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

[stdout]
/workspace/data/buyer_reset_proposal.csv
/workspace/data/item_master_unit_economics.csv
/workspace/data/merchant_handoff_prepared_foods.docx
/workspace/data/signed_vendor_offer_letters.pdf
/workspace/data/store_cluster_capacity.csv
/workspace/data/weekly_pos_inventory_waste.csv
[metadata]
noOutputExpected: false
  4. 4Bash1

    Tool execution only — no assistant text

    Bashls -laR /workspace 2>/dev/null | head -80 (+description)1k chars

    Arguments

    Recursive listing of workspace

    ls -laR /workspace 2>/dev/null | head -80

    Output

    /workspace:
total 12
drwxr-xr-x 1 root root 4096 Aug 20 01:07 .
drwxr-xr-x 1 root root 4096 Aug 20 01:13 ..
drwxr-xr-x 1 root root 4096 Aug 20 01:07 data

/workspace/data:
total 92
drwxr-xr-x 1 root root  4096 Aug 20 01:07 .
drwxr-xr-x 1 root root  4096 Aug 20 01:07 ..
-rw-r--r-- 1 root root  5628 Aug 19 23:31 buyer_reset_proposal.csv
-rw-r--r-- 1 root root  1291 Aug 19 23:31 item_master_unit_economics.csv
-rw-r--r-- 1 root root 38588 Aug 19 23:31 merchant_handoff_prepared_foods.docx
-rw-r--r-- 1 root root  4796 Aug 19 23:31 signed_vendor_offer_letters.pdf
-rw-r--r-- 1 root root   833 Aug 19 23:31 store_cluster_capacity.csv
-rw-r--r-- 1 root root 33578 Aug 19 23:31 weekly_pos_inventory_waste.csv

[stdout]
/workspace:
total 12
drwxr-xr-x 1 root root 4096 Aug 20 01:07 .
drwxr-xr-x 1 root root 4096 Aug 20 01:13 ..
drwxr-xr-x 1 root root 4096 Aug 20 01:07 data

/workspace/data:
total 92
drwxr-xr-x 1 root root  4096 Aug 20 01:07 .
drwxr-xr-x 1 root root  4096 Aug 20 01:07 ..
-rw-r--r-- 1 ro

    … 458 more characters of output in the raw trajectory.

  5. 5I'll read the CSVs directly and use skills for the docx/pdf.21k

    I'll read the CSVs directly and use skills for the docx/pdf.

  6. 6Read1

    Tool execution only — no assistant text

    Read/workspace/data/buyer_reset_proposal.csv12k chars

    Arguments

    /workspace/data/buyer_reset_proposal.csv

    Output

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

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

  7. 7Read1

    Tool execution only — no assistant text

    Read/workspace/data/item_master_unit_economics.csv3k chars

    Arguments

    /workspace/data/item_master_unit_economics.csv

    Output

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

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

  8. 8Read1

    Tool execution only — no assistant text

    Read/workspace/data/store_cluster_capacity.csv2k chars

    Arguments

    /workspace/data/store_cluster_capacity.csv

    Output

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

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

    … 833 more characters of output in the raw trajectory.

  9. 10Bash27k1

    Tool execution only — no assistant text

    Bashcd /workspace/data && python3 -c " import zipfile,re z=zipfile.ZipFile('merchant_handoff_prepared_foods.docx') print([n for n in z.namelist()][:20]) " 2>&1 | head -20 (+description)

    Arguments

    Inspect docx structure

    cd /workspace/data && python3 -c "
import zipfile,re
z=zipfile.ZipFile('merchant_handoff_prepared_foods.docx')
print([n for n in z.namelist()][:20])
" 2>&1 | head -20

    Output

    ['[Content_Types].xml', '_rels/.rels', 'docProps/core.xml', 'docProps/app.xml', 'word/document.xml', 'word/_rels/document.xml.rels', 'word/styles.xml', 'word/stylesWithEffects.xml', 'word/settings.xml', 'word/webSettings.xml', 'word/fontTable.xml', 'word/theme/theme1.xml', 'customXml/item1.xml', 'customXml/_rels/item1.xml.rels', 'customXml/itemProps1.xml', 'word/numbering.xml', 'docProps/thumbnail.jpeg']

[stdout]
['[Content_Types].xml', '_rels/.rels', 'docProps/core.xml', 'docProps/app.xml', 'word/document.xml', 'word/_rels/document.xml.rels', 'word/styles.xml', 'word/stylesWithEffects.xml', 'word/settings.xml', 'word/webSettings.xml', 'word/fontTable.xml', 'word/theme/theme1.xml', 'customXml/item1.xml', 'customXml/_rels/item1.xml.rels', 'customXml/itemProps1.xml', 'word/numbering.xml', 'docProps/thumbnail.jpeg']
[metadata]
noOutputExpected: false
  10. 11Bash1

    Tool execution only — no assistant text

    Bashhead -3 weekly_pos_inventory_waste.csv && echo "---ROWS---" && wc -l weekly_pos_inventory_waste.csv (+description)

    Arguments

    Preview POS waste data

    head -3 weekly_pos_inventory_waste.csv && echo "---ROWS---" && wc -l weekly_pos_inventory_waste.csv

    Output

    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
---ROWS---
369 weekly_pos_inventory_waste.csv

[stdout]
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
---ROWS---
369 weekly_pos_inventory_waste.csv
[metadata]
noOutputExpected: false
  11. 12Bash28k1

    Tool execution only — no assistant text

    Bashpython3 -c " import zipfile,re from xml.etree import ElementTree as ET z=zipfile.ZipFile('merchant_handoff_prepared_foods.docx') x=z.read('word/document.xml').decode('utf8') ns={'w':'http://schemas.openxmlformats.org/wordprocessingml/2006/main'} root=ET.fromstring(x) body=root.find('w:body',ns) def txt(p): return ''.join(t.text or '' for t in p.iter('{http://schemas.openxmlformats.org/wordprocessingml/2006/main}t')) for el in body: tag=el.tag.split('}')[1] if tag=='p': s=txt(el) st=el.find('.//w:pStyle',ns) stv=st.get('{http://sch7k chars

    Arguments

    python3 -c "
import zipfile,re
from xml.etree import ElementTree as ET
z=zipfile.ZipFile('merchant_handoff_prepared_foods.docx')
x=z.read('word/document.xml').decode('utf8')
ns={'w':'http://schemas.openxmlformats.org/wordprocessingml/2006/main'}
root=ET.fromstring(x)
body=root.find('w:body',ns)
def txt(p):
    return ''.join(t.text or '' for t in p.iter('{http://schemas.openxmlformats.org/wordprocessingml/2006/main}t'))
for el in body:
    tag=el.tag.split('}')[1]
    if tag=='p':
        s=txt(el)
        st=el.find('.//w:pStyle',ns)
        stv=st.get('{http://sch

    … 415 more characters of arguments in the raw trajectory.

    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.
[Heading1] Decision rules for this reset
[ListBullet] 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.
[ListBullet] Treat internal sales, waste, and inventory records as the demand signal. Supplier projections in the proposal are

    … 6,044 more characters of output in the raw trajectory.

  12. 14Bash29k1

    Tool execution only — no assistant text

    Bash(python3 -c " import pypdf r=pypdf.PdfReader('signed_vendor_offer_letters.pdf') for i,p in enumerate(r.pages): print(f'=== PAGE {i+1} ===') print(p.extract_text()) " 2>/dev/null || pdftotext -layout signed_vendor_offer_letters.pdf - 2>/dev/null || echo "NEED_SKILL") (+description)5k chars

    Arguments

    Extract vendor offer letters PDF text

    (python3 -c "
import pypdf
r=pypdf.PdfReader('signed_vendor_offer_letters.pdf')
for i,p in enumerate(r.pages):
    print(f'=== PAGE {i+1} ===')
    print(p.extract_text())
" 2>/dev/null || pdftotext -layout signed_vendor_offer_letters.pdf - 2>/dev/null || echo "NEED_SKILL")

    Output

    === 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 support
$0

    … 4,366 more characters of output in the raw trajectory.

  13. 16Now let me analyze the internal demand data in depth.34k

    Now let me analyze the internal demand data in depth.

  14. 17Bash1

    Tool execution only — no assistant text

    Bashpython3 -c " import pandas as pd d=pd.read_csv('weekly_pos_inventory_waste.csv') print(d['week_start'].unique()) print() print(d['range_type'].unique()) print() print(d.groupby(['sku','item','range_type'])['stores_ranged'].agg(['min','max']).to_string()) " (+description)2k chars

    Arguments

    Inspect POS data dimensions

    python3 -c "
import pandas as pd
d=pd.read_csv('weekly_pos_inventory_waste.csv')
print(d['week_start'].unique())
print()
print(d['range_type'].unique())
print()
print(d.groupby(['sku','item','range_type'])['stores_ranged'].agg(['min','max']).to_string())
"

    Output

    ['2026-04-06' '2026-04-13' '2026-04-20' '2026-04-27' '2026-05-04'
 '2026-05-11' '2026-05-18' '2026-05-25']

['Current set' 'Controlled pilot']

                                                     min  max
sku      item                      range_type                
GGS-1KFV Egg Salad Croissant       Current set        11   26
GGS-2VWK Turkey Club Sandwich      Current set        11   26
GGS-3RZA Caprese Ciabatta          Controlled pilot    5    9
GGS-4HBP Turkey Cranberry Sandwich Current set        11   26
GGS-5MTC Hummus Veggie Wrap        Current set        11   26
GGS-6BGH Protein Snack Box         Controlled pilot    4    9
GGS-7DNL Cobb Salad                Current set        11   26
GGS-84QJ Chicken Caesar Wrap       Current set        11   26
GGS-8XUY Spicy Tuna Sushi Roll     Controlled pilot    4    9
GGS-9PQL Southwest Chicken Bowl    Current set        11   26

[stdout]
['2026-04-06' '2026-04-13' '2026-04-20' '2026-04-27' '2026-05-04'
 '2026-05-11' '2026-05-18' '2026-05-

    … 824 more characters of output in the raw trajectory.

  15. 18Bash35k1

    Tool execution only — no assistant text

    Bashpython3 << 'EOF' import pandas as pd pd.set_option('display.width',250) d=pd.read_csv('weekly_pos_inventory_waste.csv') m=pd.read_csv('item_master_unit_economics.csv') d=d.merge(m[['sku','retail_price','unit_cost','tray_slots_per_facing','shelf_life_days','vendor','diet_flag','role']],on='sku') d['gp_unit']=d.retail_price-d.unit_cost # per store-week metrics, 8 weeks g=d.groupby(['cluster_code','sku','item','range_type','vendor','shelf_life_days']).agg( wks=('week_start','nunique'), stores=('stores_ranged','mean'), units=('net_sales_units','sum'), wast14k chars

    Arguments

    python3 << 'EOF'
import pandas as pd
pd.set_option('display.width',250)
d=pd.read_csv('weekly_pos_inventory_waste.csv')
m=pd.read_csv('item_master_unit_economics.csv')
d=d.merge(m[['sku','retail_price','unit_cost','tray_slots_per_facing','shelf_life_days','vendor','diet_flag','role']],on='sku')
d['gp_unit']=d.retail_price-d.unit_cost

# per store-week metrics, 8 weeks
g=d.groupby(['cluster_code','sku','item','range_type','vendor','shelf_life_days']).agg(
    wks=('week_start','nunique'),
    stores=('stores_ranged','mean'),
    units=('net_sales_units','sum'),
    wast

    … 610 more characters of arguments in the raw trajectory.

    Output

    === PER-CLUSTER PER-SKU (8 wks Apr6-May25) ===
cluster_code      sku                      item       range_type  shelf_life_days  stores  units  waste  upsw  waste_pct  oos_per_store_wk  sell_thru
         CAM GGS-1KFV       Egg Salad Croissant      Current set                2    11.0    138     32 1.568      0.188             0.052      0.812
         CAM GGS-2VWK      Turkey Club Sandwich      Current set                3    11.0    306     17 3.477      0.053             0.052      0.950
         CAM GGS-3RZA          Caprese Ciabatta Controlled pilot                2     5.0    132      9 3.300      0.064             0.042      0.863
         CAM GGS-4HBP Turkey Cranberry Sandwich      Current set                3    11.0     61     18 0.693      0.228             0.055      0.744
         CAM GGS-5MTC        Hummus Veggie Wrap      Current set                2    11.0    273     21 3.102      0.071             0.043      0.941
         CAM GGS-6BGH         Protein Snack Box Contr

    … 13,242 more characters of output in the raw trajectory.

  16. 20Bash42k1

    Tool execution only — no assistant text

    Bashpython3 << 'EOF' import pandas as pd pd.set_option('display.width',260) d=pd.read_csv('weekly_pos_inventory_waste.csv') # weekly trend for candidates + declining legacy for sku in ['GGS-8XUY','GGS-3RZA','GGS-6BGH','GGS-4HBP','GGS-1KFV']: s=d[d.sku==sku] p=s.pivot_table(index='week_start',columns='cluster_code',values=['net_sales_units','waste_units','stores_ranged'],aggfunc='sum') print(f"--- {sku} {s.item.iloc[0]} ---") print(p.to_string()) print() EOF (+description)11k chars

    Arguments

    Check weekly trends for candidate and legacy SKUs

    python3 << 'EOF'
import pandas as pd
pd.set_option('display.width',260)
d=pd.read_csv('weekly_pos_inventory_waste.csv')
# weekly trend for candidates + declining legacy
for sku in ['GGS-8XUY','GGS-3RZA','GGS-6BGH','GGS-4HBP','GGS-1KFV']:
    s=d[d.sku==sku]
    p=s.pivot_table(index='week_start',columns='cluster_code',values=['net_sales_units','waste_units','stores_ranged'],aggfunc='sum')
    print(f"--- {sku} {s.item.iloc[0]} ---")
    print(p.to_string())
    print()
EOF

    Output

    --- GGS-8XUY Spicy Tuna Sushi Roll ---
             net_sales_units         stores_ranged         waste_units        
cluster_code             CAM COM MET           CAM COM MET         CAM COM MET
week_start                                                                    
2026-04-06                 7   8  30             4   6   9           2   4   4
2026-04-13                 9   6  25             4   6   9           3   3   3
2026-04-20                 9   6  30             4   6   9           3   3   3
2026-04-27                 9   7  25             4   6   9           3   3   3
2026-05-04                 8   7  28             4   6   9           3   3   3
2026-05-11                 8   7  32             4   6   9           3   3   4
2026-05-18                 9   7  26             4   6   9           4   4   3
2026-05-25                 9   6  31             4   6   9           3   3   4

--- GGS-3RZA Caprese Ciabatta ---
             net_sales_units         stores_ranged

    … 9,706 more characters of output in the raw trajectory.

  17. 22Now let me build the full economic and capacity model.63k

    Now let me build the full economic and capacity model.

  18. 23Bash1

    Tool execution only — no assistant text

    Bashmkdir -p /workspace/output /workspace/work && cd /workspace/work && cat > model.py << 'PYEOF' import pandas as pd, numpy as np, json pd.set_option('display.width',300); pd.set_option('display.max_columns',50) D='/workspace/data/' pos=pd.read_csv(D+'weekly_pos_inventory_waste.csv') im=pd.read_csv(D+'item_master_unit_economics.csv') prop=pd.read_csv(D+'buyer_reset_proposal.csv') cap=pd.read_csv(D+'store_cluster_capacity.csv') im['gp_unit']=(im.retail_price-im.unit_cost).round(2) im['gm_pct']=(im.gp_unit/im.retail_price) # --- baseline demand signal: 8 wks Apr 6 - May 2515k chars

    Arguments

    mkdir -p /workspace/output /workspace/work && cd /workspace/work && cat > model.py << 'PYEOF'
import pandas as pd, numpy as np, json
pd.set_option('display.width',300); pd.set_option('display.max_columns',50)
D='/workspace/data/'
pos=pd.read_csv(D+'weekly_pos_inventory_waste.csv')
im=pd.read_csv(D+'item_master_unit_economics.csv')
prop=pd.read_csv(D+'buyer_reset_proposal.csv')
cap=pd.read_csv(D+'store_cluster_capacity.csv')

im['gp_unit']=(im.retail_price-im.unit_cost).round(2)
im['gm_pct']=(im.gp_unit/im.retail_price)

# --- baseline demand signal: 8 wks Apr 6 - May 25

    … 2,752 more characters of arguments in the raw trajectory.

    Output

    cluster      sku                      item  code_days  upsw  waste_pct  oos_psw  gp_psw  shrink_psw  scan_psw  shrink_credit_psw  net_psw  net_per_slot_1f
    MET GGS-84QJ       Chicken Caesar Wrap          3 5.500      0.049    0.250  19.855       0.678     0.000              0.000   19.177           19.177
    MET GGS-2VWK      Turkey Club Sandwich          3 3.090      0.039    0.055  11.898       0.330     0.000              0.000   11.568           11.568
    MET GGS-9PQL    Southwest Chicken Bowl          3 4.514      0.066    0.160  20.493       1.102     0.000              0.000   19.391           12.927
    MET GGS-5MTC        Hummus Veggie Wrap          2 1.958      0.078    0.063   6.932       0.458     0.000              0.137    6.612            6.612
    MET GGS-7DNL                Cobb Salad          3 3.021      0.074    0.048  14.409       0.904     0.000              0.000   13.505            9.003
    MET GGS-1KFV       Egg Salad Croissant          2 1.292      0.209

    … 13,618 more characters of output in the raw trajectory.

  19. 25Bash69k1

    Tool execution only — no assistant text

    Bashcat > plan.py << 'PYEOF' import pandas as pd, numpy as np pd.set_option('display.width',300); pd.set_option('display.max_columns',60) D='/workspace/data/' E=pd.read_csv('econ_base.csv') im=pd.read_csv(D+'item_master_unit_economics.csv'); im['gp_unit']=(im.retail_price-im.unit_cost).round(2) prop=pd.read_csv(D+'buyer_reset_proposal.csv') cap=pd.read_csv(D+'store_cluster_capacity.csv').set_index('cluster_code') SPF=im.set_index('sku').tray_slots_per_facing.to_dict() NAME=im.set_index('sku').item.to_dict() # ---------- 1. PROPOSAL CAPACITY CHECK ---------- prop['slots']=p6k chars

    Arguments

    cat > plan.py << 'PYEOF'
import pandas as pd, numpy as np
pd.set_option('display.width',300); pd.set_option('display.max_columns',60)
D='/workspace/data/'
E=pd.read_csv('econ_base.csv')
im=pd.read_csv(D+'item_master_unit_economics.csv'); im['gp_unit']=(im.retail_price-im.unit_cost).round(2)
prop=pd.read_csv(D+'buyer_reset_proposal.csv')
cap=pd.read_csv(D+'store_cluster_capacity.csv').set_index('cluster_code')
SPF=im.set_index('sku').tray_slots_per_facing.to_dict()
NAME=im.set_index('sku').item.to_dict()

# ---------- 1. PROPOSAL CAPACITY CHECK ----------
prop['slots']=p

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

    Output

    === BUYER PROPOSAL vs TRAY CAPACITY ===
cluster_code      cluster_name  proposed_slots  available  over_under
         CAM Campus / Hospital            10.5       10.0         0.5
         COM Commuter Suburban            10.5       10.0         0.5
         HWY  Highway / Travel             8.5        8.0         0.5
         MET        Metro Core            12.0       12.0         0.0
         RUR       Rural North             7.5        7.0         0.5

=== RECOMMENDED ASSORTMENT - CAPACITY CHECK ===
planogram cluster  stores  skus  slots_used  available  open_slots                            veg_option
    MET-A     MET       9     7        12.0       12.0         0.0                      Caprese Ciabatta
    MET-B     MET       9     7        11.5       12.0         0.5 Caprese Ciabatta + Hummus Veggie Wrap
      COM     COM      26     6        10.0       10.0         0.0                    Hummus Veggie Wrap
      CAM     CAM      11     7        10.0       10.0         0.0 Capr

    … 4,844 more characters of output in the raw trajectory.

  20. 27Bash77k1

    Tool execution only — no assistant text

    Bashcat > bridge.py << 'PYEOF' import pandas as pd, numpy as np pd.set_option('display.width',300); pd.set_option('display.max_columns',60) D='/workspace/data/' E=pd.read_csv('econ_base.csv'); ek=E.set_index(['cluster','sku']) im=pd.read_csv(D+'item_master_unit_economics.csv') cap=pd.read_csv(D+'store_cluster_capacity.csv').set_index('cluster_code') NAME=im.set_index('sku').item.to_dict(); SPF=im.set_index('sku').tray_slots_per_facing.to_dict() CP=im.set_index('sku').case_pack.to_dict(); SL=im.set_index('sku').shelf_life_days.to_dict() WKS=4 def n(cl,sku,stores): r=ek.l12k chars

    Arguments

    cat > bridge.py << 'PYEOF'
import pandas as pd, numpy as np
pd.set_option('display.width',300); pd.set_option('display.max_columns',60)
D='/workspace/data/'
E=pd.read_csv('econ_base.csv'); ek=E.set_index(['cluster','sku'])
im=pd.read_csv(D+'item_master_unit_economics.csv')
cap=pd.read_csv(D+'store_cluster_capacity.csv').set_index('cluster_code')
NAME=im.set_index('sku').item.to_dict(); SPF=im.set_index('sku').tray_slots_per_facing.to_dict()
CP=im.set_index('sku').case_pack.to_dict(); SL=im.set_index('sku').shelf_life_days.to_dict()
WKS=4
def n(cl,sku,stores): 
    r=ek.l

    … 5,191 more characters of arguments in the raw trajectory.

    Output

    === GP / SHRINK BRIDGE: BUYER PROPOSAL -> RECOMMENDATION (4 weeks) ===
                                        change cluster                                                  detail  net_gp_delta  waste_unit_delta
       Reject Sushi outside signed Metro route     COM                           Spicy Tuna Sushi Roll removed        -423.0             -56.0
       Reject Sushi outside signed Metro route     CAM                           Spicy Tuna Sushi Roll removed        -390.0             -33.0
   Limit Sushi to signed M-11 stores, 1 facing     MET                18-store x2 facings -> 9-store x1 facing        -617.0             -14.0
           Reject Caprese in Commuter Suburban     COM                            Caprese out, Hummus retained          28.0             -16.0
                  Reinstate Hummus Veggie Wrap     CAM          CAM (alongside Caprese; meatless over-indexes)         463.0              10.0
                  Reinstate Hummus Veggie Wrap     HWY               HW

    … 10,546 more characters of output in the raw trajectory.

  21. 29Now let me finalize the decision tables and reconciliation.89k

    Now let me finalize the decision tables and reconciliation.

  22. 30Bash1

    Tool execution only — no assistant text

    Bashcat > final.py << 'PYEOF' import pandas as pd, numpy as np pd.set_option('display.width',320); pd.set_option('display.max_columns',60) D='/workspace/data/' E=pd.read_csv('econ_base.csv'); ek=E.set_index(['cluster','sku']) im=pd.read_csv(D+'item_master_unit_economics.csv'); im['gp_unit']=(im.retail_price-im.unit_cost).round(2) prop=pd.read_csv(D+'buyer_reset_proposal.csv') cap=pd.read_csv(D+'store_cluster_capacity.csv').set_index('cluster_code') NAME=im.set_index('sku').item.to_dict(); SPF=im.set_index('sku').tray_slots_per_facing.to_dict() REC={'MET-A':{'GGS-84QJ':2,'GGS8k chars

    Arguments

    cat > final.py << 'PYEOF'
import pandas as pd, numpy as np
pd.set_option('display.width',320); pd.set_option('display.max_columns',60)
D='/workspace/data/'
E=pd.read_csv('econ_base.csv'); ek=E.set_index(['cluster','sku'])
im=pd.read_csv(D+'item_master_unit_economics.csv'); im['gp_unit']=(im.retail_price-im.unit_cost).round(2)
prop=pd.read_csv(D+'buyer_reset_proposal.csv')
cap=pd.read_csv(D+'store_cluster_capacity.csv').set_index('cluster_code')
NAME=im.set_index('sku').item.to_dict(); SPF=im.set_index('sku').tray_slots_per_facing.to_dict()

REC={'MET-A':{'GGS-84QJ':2,'GGS

    … 10,634 more characters of arguments in the raw trajectory.

    Output

    Exit code 1
=== FINAL ASSORTMENT ===
planogram      sku                   item proposed_action  proposed_facings  final_facings  slots_used  units_per_store_week  waste_pct  net_gp_4wk  net_gp_per_slot_4wk
    MET-A GGS-9PQL Southwest Chicken Bowl            Keep                 1              2         3.0                  4.51      0.066       698.0                233.0
    MET-A GGS-84QJ    Chicken Caesar Wrap            Keep                 2              2         2.0                  5.50      0.049       690.0                345.0
    MET-A GGS-8XUY  Spicy Tuna Sushi Roll             Add                 2              1         1.5                  3.15      0.106       617.0                411.0
    MET-A GGS-6BGH      Protein Snack Box             Add                 2              2         2.0                  4.14      0.026       614.0                307.0
    MET-A GGS-7DNL             Cobb Salad            Keep                 1              1         1.5

    … 7,479 more characters of output in the raw trajectory.

  23. 32Bash93k1

    Tool execution only — no assistant text

    Bashpython3 - << 'PYEOF' import pandas as pd RC=pd.read_csv('reconciliation.csv') sp=RC[RC.supplier_projection_upsw.notna()&(RC.supplier_projection_upsw>0)].copy() sp['internal_num']=pd.to_numeric(sp.internal_upsw,errors='coerce') sp['overstatement_x']=(sp.supplier_projection_upsw/sp.internal_num).round(2) sp['gap_note']=sp.apply(lambda r: 'No internal pilot in this cluster - supplier estimate only' if pd.isna(r.internal_num) else ('Supplier over by %d%%'%round((r.overstatement_x-1)*100) if r.overstatement_x>1 else 'Supplier4k chars

    Arguments

    python3 - << 'PYEOF'
import pandas as pd
RC=pd.read_csv('reconciliation.csv')
sp=RC[RC.supplier_projection_upsw.notna()&(RC.supplier_projection_upsw>0)].copy()
sp['internal_num']=pd.to_numeric(sp.internal_upsw,errors='coerce')
sp['overstatement_x']=(sp.supplier_projection_upsw/sp.internal_num).round(2)
sp['gap_note']=sp.apply(lambda r: 'No internal pilot in this cluster - supplier estimate only' if pd.isna(r.internal_num)
                        else ('Supplier over by %d%%'%round((r.overstatement_x-1)*100) if r.overstatement_x>1
                              else 'Supplier

    … 400 more characters of arguments in the raw trajectory.

    Output

    cluster                  item  supplier_projection_upsw    internal_upsw  overstatement_x                                                   gap_note verdict
    MET      Caprese Ciabatta                       3.4             3.17             1.07                                        Supplier over by 7%  Accept
    MET     Protein Snack Box                       4.8             4.14             1.16                                       Supplier over by 16%  Accept
    MET Spicy Tuna Sushi Roll                       5.1             3.15             1.62                                       Supplier over by 62%  Change
    COM      Caprese Ciabatta                       3.2             1.83             1.75                                       Supplier over by 75%  Reject
    COM     Protein Snack Box                       4.5             3.88             1.16                                       Supplier over by 16%  Accept
    COM Spicy Tuna Sushi Roll                       4.4

    … 3,130 more characters of output in the raw trajectory.

  24. 34Bash94k1

    Tool execution only — no assistant text

    Bashpython3 - << 'PYEOF' import pandas as pd FA=pd.read_csv('final_assortment.csv'); P=pd.read_csv('line_pl.csv'); BR=pd.read_csv('bridge.csv') cs=FA.groupby(['planogram','planogram_name','cluster','stores']).agg(skus=('sku','count'),slots=('slots_used','sum'),net=('net_gp_4wk','sum')).reset_index() cs['available']={'MET-A':12.0,'MET-B':12.0,'COM':10.0,'CAM':10.0,'HWY':8.0,'RUR':7.0}[cs.planogram.iloc[0]] if False else cs.planogram.map({'MET-A':12.0,'MET-B':12.0,'COM':10.0,'CAM':10.0,'HWY':8.0,'RUR':7.0}) cs['open']=(cs.available-cs.slots).round(2) print(cs.to_string(index=False)3k chars

    Arguments

    python3 - << 'PYEOF'
import pandas as pd
FA=pd.read_csv('final_assortment.csv'); P=pd.read_csv('line_pl.csv'); BR=pd.read_csv('bridge.csv')
cs=FA.groupby(['planogram','planogram_name','cluster','stores']).agg(skus=('sku','count'),slots=('slots_used','sum'),net=('net_gp_4wk','sum')).reset_index()
cs['available']={'MET-A':12.0,'MET-B':12.0,'COM':10.0,'CAM':10.0,'HWY':8.0,'RUR':7.0}[cs.planogram.iloc[0]] if False else cs.planogram.map({'MET-A':12.0,'MET-B':12.0,'COM':10.0,'CAM':10.0,'HWY':8.0,'RUR':7.0})
cs['open']=(cs.available-cs.slots).round(2)
print(cs.to_string(index=False)

    … 926 more characters of arguments in the raw trajectory.

    Output

    planogram                 planogram_name cluster  stores  skus  slots    net  available  open
      CAM              Campus / Hospital     CAM      11     7   10.0 5029.0       10.0   0.0
      COM              Commuter Suburban     COM      26     6   10.0 8612.0       10.0   0.0
      HWY               Highway / Travel     HWY      15     5    7.5 3534.0        8.0   0.5
    MET-A Metro Core - route M-11 stores     MET       9     7   12.0 3987.0       12.0   0.0
    MET-B  Metro Core - all other stores     MET       9     7   11.5 3608.0       12.0   0.5
      RUR                    Rural North     RUR      14     5    6.5 2506.0        7.0   0.5

                 units  waste_units       gp  shrink   scan  shrink_credit      net  waste_pct
scenario                                                                                      
Buyer proposal  7042.0        562.0  28796.0  1847.0  650.0          122.0  27721.0        7.0
Recommended     7038.0        465.0  28025.0  1408.0  57

    … 1,510 more characters of output in the raw trajectory.

  25. 35Now I'll build the workbook.95k

    Now I'll build the workbook.

  26. 36user{"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.

  27. 37Skill1

    Tool execution only — no assistant text

    Skillxlsx

    Arguments

    xlsx

    Output

    Launching skill: xlsx

[metadata]
success: true
commandName: xlsx
  28. 39Bash107k1

    Tool execution only — no assistant text

    Bashcat > build_xlsx.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 as GL D='/workspace/data/' pos=pd.read_csv(D+'weekly_pos_inventory_waste.csv') im=pd.read_csv(D+'item_master_unit_economics.csv') prop=pd.read_csv(D+'buyer_reset_proposal.csv') cap=pd.read_csv(D+'store_cluster_capacity.csv') RC=pd.read_csv('reconciliation.csv'); SG=pd.read_csv('supplier_gap.csv'); BR=pd.read_csv('bridge.csv') FONT='Arial' BLUE=Font(name=FONT,size=10,color=

    Arguments

    cat > build_xlsx.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 as GL

D='/workspace/data/'
pos=pd.read_csv(D+'weekly_pos_inventory_waste.csv')
im=pd.read_csv(D+'item_master_unit_economics.csv')
prop=pd.read_csv(D+'buyer_reset_proposal.csv')
cap=pd.read_csv(D+'store_cluster_capacity.csv')
RC=pd.read_csv('reconciliation.csv'); SG=pd.read_csv('supplier_gap.csv'); BR=pd.read_csv('bridge.csv')

FONT='Arial'
BLUE=Font(name=FONT,size=10,color=

    … 11,297 more characters of arguments in the raw trajectory.

    Output

    ok

[stdout]
ok
[metadata]
noOutputExpected: false
  29. 41Bash114k1

    Tool execution only — no assistant text

    Bashcat >> build_xlsx.py << 'PYEOF' DA="'1. Data & Assumptions'!" # ================= 2. ITEM ECONOMICS ================= we=wb.create_sheet('2. Item Economics') we.sheet_view.showGridLines=False put(we,1,1,'Item Economics by Cluster - per store per week, from internal records',H1) put(we,2,1,'Every figure on this sheet is a formula driven off sheet 1. Net contribution = gross profit less shrink at cost, plus only those vendor credits that a signed offer letter actually grants to that cluster.',NOTE) EH2=['Key','Cluster','SKU','Item','Vendor','Code days','Tray slots per faci

    Arguments

    cat >> build_xlsx.py << 'PYEOF'

DA="'1. Data & Assumptions'!"
# ================= 2. ITEM ECONOMICS =================
we=wb.create_sheet('2. Item Economics')
we.sheet_view.showGridLines=False
put(we,1,1,'Item Economics by Cluster - per store per week, from internal records',H1)
put(we,2,1,'Every figure on this sheet is a formula driven off sheet 1. Net contribution = gross profit less shrink at cost, plus only those vendor credits that a signed offer letter actually grants to that cluster.',NOTE)
EH2=['Key','Cluster','SKU','Item','Vendor','Code days','Tray slots per faci

    … 9,825 more characters of arguments in the raw trajectory.

    Output

    ok

[stdout]
ok
[metadata]
noOutputExpected: false
  30. 42Bash119k1

    Tool execution only — no assistant text

    Bashcat >> build_xlsx.py << 'PYEOF' CFA="'3. Cluster Final Assortment'!" # ================= 4. CAPACITY RECONCILIATION ================= wc=wb.create_sheet('4. Capacity Reconciliation') wc.sheet_view.showGridLines=False put(wc,1,1,'Tray Capacity Reconciliation',H1) put(wc,2,1,'Handoff rule: fit the first four weeks into the live case, no partial facings, oversized trays consume the slots listed in the item master, and the September lease-line change is not available.',NOTE) put(wc,4,1,'A. BUYER PROPOSAL AS WRITTEN',SEC) CHH=['Cluster','Cluster name','Stores','Deliveries /

    Arguments

    cat >> build_xlsx.py << 'PYEOF'

CFA="'3. Cluster Final Assortment'!"
# ================= 4. CAPACITY RECONCILIATION =================
wc=wb.create_sheet('4. Capacity Reconciliation')
wc.sheet_view.showGridLines=False
put(wc,1,1,'Tray Capacity Reconciliation',H1)
put(wc,2,1,'Handoff rule: fit the first four weeks into the live case, no partial facings, oversized trays consume the slots listed in the item master, and the September lease-line change is not available.',NOTE)
put(wc,4,1,'A. BUYER PROPOSAL AS WRITTEN',SEC)
CHH=['Cluster','Cluster name','Stores','Deliveries /

    … 9,128 more characters of arguments in the raw trajectory.

    Output

    ok

[stdout]
ok
[metadata]
noOutputExpected: false
  31. 44Bash125k1

    Tool execution only — no assistant text

    Bashcat >> build_xlsx.py << 'PYEOF' def U(cl,sku,col='U'): return f'{EC}${col}${EROW[(cl,sku)]}' STORECELL={'MET':f'{DA}$C${CROW["MET"]}','COM':f'{DA}$C${CROW["COM"]}','CAM':f'{DA}$C${CROW["CAM"]}', 'HWY':f'{DA}$C${CROW["HWY"]}','RUR':f'{DA}$C${CROW["RUR"]}'} WK=f'{DA}{WKS_CELL}' # ================= 7. GP AND SHRINK BRIDGE ================= wg=wb.create_sheet('7. GP and Shrink Bridge') wg.sheet_view.showGridLines=False put(wg,1,1,'Four-Week Gross Profit and Shrink Bridge',H1) put(wg,2,1,'Velocity is held at the observed per-store rate, so removing a SK

    Arguments

    cat >> build_xlsx.py << 'PYEOF'

def U(cl,sku,col='U'): return f'{EC}${col}${EROW[(cl,sku)]}'
STORECELL={'MET':f'{DA}$C${CROW["MET"]}','COM':f'{DA}$C${CROW["COM"]}','CAM':f'{DA}$C${CROW["CAM"]}',
           'HWY':f'{DA}$C${CROW["HWY"]}','RUR':f'{DA}$C${CROW["RUR"]}'}
WK=f'{DA}{WKS_CELL}'

# ================= 7. GP AND SHRINK BRIDGE =================
wg=wb.create_sheet('7. GP and Shrink Bridge')
wg.sheet_view.showGridLines=False
put(wg,1,1,'Four-Week Gross Profit and Shrink Bridge',H1)
put(wg,2,1,'Velocity is held at the observed per-store rate, so removing a SK

    … 8,414 more characters of arguments in the raw trajectory.

    Output

    ok

[stdout]
ok
[metadata]
noOutputExpected: false
  32. 45Bash130k1

    Tool execution only — no assistant text

    Bashcat >> build_xlsx.py << 'PYEOF' # ================= 8. EXECUTION RISK CHECK ================= wx=wb.create_sheet('8. Execution Risk Check') wx.sheet_view.showGridLines=False put(wx,1,1,'Execution Risk Check - code date, delivery cadence, order pack and vendor support',H1) put(wx,2,1,'Every line in the recommended set tested against the delivery network that is already signed. Nothing here assumes an extra delivery day or an extra stop.',NOTE) put(wx,4,1,'A. CODE DATE AGAINST THE DELIVERY GAP',SEC) hdr(wx,5,['Planogram','Cluster','SKU','Item','Code days','Deliveries / wk','

    Arguments

    cat >> build_xlsx.py << 'PYEOF'

# ================= 8. EXECUTION RISK CHECK =================
wx=wb.create_sheet('8. Execution Risk Check')
wx.sheet_view.showGridLines=False
put(wx,1,1,'Execution Risk Check - code date, delivery cadence, order pack and vendor support',H1)
put(wx,2,1,'Every line in the recommended set tested against the delivery network that is already signed. Nothing here assumes an extra delivery day or an extra stop.',NOTE)
put(wx,4,1,'A. CODE DATE AGAINST THE DELIVERY GAP',SEC)
hdr(wx,5,['Planogram','Cluster','SKU','Item','Code days','Deliveries / wk','

    … 9,050 more characters of arguments in the raw trajectory.

    Output

    ok

[stdout]
ok
[metadata]
noOutputExpected: false
  33. 46Bash133k1

    Tool execution only — no assistant text

    Bashcat >> build_xlsx.py << 'PYEOF' # ================= 0. DECISION SUMMARY ================= w0=wb.create_sheet('0. Decision Summary'); wb.move_sheet('0. Decision Summary',offset=-len(wb.sheetnames)+1) w0.sheet_view.showGridLines=False for i,w in enumerate([44,20,20,20,86],1): w0.column_dimensions[GL(i)].width=w put(w0,1,1,'Blue Mesa Market - Refrigerated Grab-and-Go July 2026 Reset',H1) put(w0,2,1,'Decision workbook supporting the reset recommendation for weeks 1-4 (13 July - 9 August 2026). Prepared for Prepared Foods and Space Planning.',NOTE) r=4 put(w0,r,1,'HEADLINE',SE

    Arguments

    cat >> build_xlsx.py << 'PYEOF'

# ================= 0. DECISION SUMMARY =================
w0=wb.create_sheet('0. Decision Summary'); wb.move_sheet('0. Decision Summary',offset=-len(wb.sheetnames)+1)
w0.sheet_view.showGridLines=False
for i,w in enumerate([44,20,20,20,86],1): w0.column_dimensions[GL(i)].width=w
put(w0,1,1,'Blue Mesa Market - Refrigerated Grab-and-Go July 2026 Reset',H1)
put(w0,2,1,'Decision workbook supporting the reset recommendation for weeks 1-4 (13 July - 9 August 2026). Prepared for Prepared Foods and Space Planning.',NOTE)
r=4
put(w0,r,1,'HEADLINE',SE

    … 7,283 more characters of arguments in the raw trajectory.

    Output

    saved

[stdout]
saved
[metadata]
noOutputExpected: false
  34. 47Bash134k1

    Tool execution only — no assistant text

    Bashcd /workspace/output && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py reset_decision_workbook.xlsx 180 (+description)2k chars

    Arguments

    Recalculate workbook and check for errors

    cd /workspace/output && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py reset_decision_workbook.xlsx 180

    Output

    {
  "status": "errors_found",
  "total_errors": 228,
  "error_summary": {
    "#VALUE!": {
      "count": 228,
      "locations": [
        "0. Decision Summary!B10",
        "0. Decision Summary!C10",
        "0. Decision Summary!D10",
        "0. Decision Summary!B11",
        "0. Decision Summary!C11",
        "0. Decision Summary!D11",
        "0. Decision Summary!B12",
        "0. Decision Summary!C12",
        "0. Decision Summary!D12",
        "0. Decision Summary!B13",
        "0. Decision Summary!C13",
        "0. Decision Summary!D13",
        "0. Decision Summary!B14",
        "0. Decision Summary!C14",
        "0. Decision Summary!D14",
        "0. Decision Summary!D18",
        "0. Decision Summary!D19",
        "0. Decision Summary!D20",
        "0. Decision Summary!D21",
        "3. Cluster Final Assortment!Q5"
      ]
    }
  },
  "total_formulas": 2428
}

[stdout]
{
  "status": "errors_found",
  "total_errors": 228,
  "error_summary": {
    "#VALUE!": {
      "count":

    … 816 more characters of output in the raw trajectory.

  35. 49Bash135k1

    Tool execution only — no assistant text

    Bashcd /workspace/work && python3 - << 'PYEOF' import re s=open('build_xlsx.py').read() s=s.replace("""GA=[('Reset weeks in scope','4','weeks'""","""GA=[('Reset weeks in scope',4,'weeks'""") s=s.replace("""('Metro Core total stores','18','stores'""","""('Metro Core total stores',18,'stores'""") s=s.replace("""('Metro Core route M-11 stores','9','stores'""","""('Metro Core route M-11 stores',9,'stores'""") open('build_xlsx.py','w').write(s) PYEOF grep -n "Reset weeks in scope\|Metro Core total stores\|route M-11 stores'," build_xlsx.py | h

    Arguments

    cd /workspace/work && python3 - << 'PYEOF'
import re
s=open('build_xlsx.py').read()
s=s.replace("""GA=[('Reset weeks in scope','4','weeks'""","""GA=[('Reset weeks in scope',4,'weeks'""")
s=s.replace("""('Metro Core total stores','18','stores'""","""('Metro Core total stores',18,'stores'""")
s=s.replace("""('Metro Core route M-11 stores','9','stores'""","""('Metro Core route M-11 stores',9,'stores'""")
open('build_xlsx.py','w').write(s)
PYEOF
grep -n "Reset weeks in scope\|Metro Core total stores\|route M-11 stores'," build_xlsx.py | h

    … 65 more characters of arguments in the raw trajectory.

    Output

    56:GA=[('Reset weeks in scope',4,'weeks','Merchant handoff: decide the first four weeks of the July reset',True),
59: ('Metro Core total stores',18,'stores','store_cluster_capacity.csv',True),
60: ('Metro Core route M-11 stores',9,'stores','ASSUMPTION - not stated in any file. Proxy = the 9 Metro stores in the sushi pilot, which must have been on a daily route. CONFIRM WITH SAKURA BEFORE PLANOGRAM LOCK.',True),

[stdout]
56:GA=[('Reset weeks in scope',4,'weeks','Merchant handoff: decide the first four weeks of the July reset',True),
59: ('Metro Core total stores',18,'stores','store_cluster_capacity.csv',True),
60: ('Metro Core route M-11 stores',9,'stores','ASSUMPTION - not stated in any file. Proxy = the 9 Metro stores in the sushi pilot, which must have been on a daily route. CONFIRM WITH SAKURA BEFORE PLANOGRAM LOCK.',True),
[metadata]
noOutputExpected: false
  36. 50Bash135k1

    Tool execution only — no assistant text

    Bashpython3 build_xlsx.py && cd /workspace/output && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py reset_decision_workbook.xlsx 180 (+description)2k chars

    Arguments

    Rebuild and recalculate workbook

    python3 build_xlsx.py && cd /workspace/output && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py reset_decision_workbook.xlsx 180

    Output

    saved
{
  "status": "errors_found",
  "total_errors": 228,
  "error_summary": {
    "#VALUE!": {
      "count": 228,
      "locations": [
        "0. Decision Summary!B10",
        "0. Decision Summary!C10",
        "0. Decision Summary!D10",
        "0. Decision Summary!B11",
        "0. Decision Summary!C11",
        "0. Decision Summary!D11",
        "0. Decision Summary!B12",
        "0. Decision Summary!C12",
        "0. Decision Summary!D12",
        "0. Decision Summary!B13",
        "0. Decision Summary!C13",
        "0. Decision Summary!D13",
        "0. Decision Summary!B14",
        "0. Decision Summary!C14",
        "0. Decision Summary!D14",
        "0. Decision Summary!D18",
        "0. Decision Summary!D19",
        "0. Decision Summary!D20",
        "0. Decision Summary!D21",
        "3. Cluster Final Assortment!Q5"
      ]
    }
  },
  "total_formulas": 2428
}

[stdout]
saved
{
  "status": "errors_found",
  "total_errors": 228,
  "error_summary": {
    "#VALUE!": {

    … 828 more characters of output in the raw trajectory.

  37. 52Bash137k1

    Tool execution only — no assistant text

    Bashcd /workspace/work && python3 - << 'PYEOF' s=open('build_xlsx.py').read() old="""for k,v,u,s,inp in GA: put(ws,r,1,k); put(ws,r,2,v,BLUE,al='center') if 'M-11' in k: ws.cell(row=r,column=2).fill=WARN put(ws,r,3,u,BLACK,al='center'); put(ws,r,4,s,NOTE,wrap=True) ws.merge_cells(start_row=r,start_column=4,end_row=r,end_column=13); ws.row_dimensions[r].height=26; r+=1 M11_CELL='$B$9'; WKS_CELL='$B$5'; METTOT='$B$8'""" new="""GAROW={} for k,v,u,s,inp in GA: put(ws,r,1,k); put(ws,r,2,v,BLUE,al='center') if 'M-11' in k: ws.cell(row=r,column=2).f

    Arguments

    cd /workspace/work && python3 - << 'PYEOF'
s=open('build_xlsx.py').read()
old="""for k,v,u,s,inp in GA:
    put(ws,r,1,k); put(ws,r,2,v,BLUE,al='center')
    if 'M-11' in k: ws.cell(row=r,column=2).fill=WARN
    put(ws,r,3,u,BLACK,al='center'); put(ws,r,4,s,NOTE,wrap=True)
    ws.merge_cells(start_row=r,start_column=4,end_row=r,end_column=13); ws.row_dimensions[r].height=26; r+=1
M11_CELL='$B$9'; WKS_CELL='$B$5'; METTOT='$B$8'"""
new="""GAROW={}
for k,v,u,s,inp in GA:
    put(ws,r,1,k); put(ws,r,2,v,BLUE,al='center')
    if 'M-11' in k: ws.cell(row=r,column=2).f

    … 627 more characters of arguments in the raw trajectory.

    Output

    saved
{
  "error": "File reset_decision_workbook.xlsx does not exist"
}

[stdout]
saved
{
  "error": "File reset_decision_workbook.xlsx does not exist"
}
[metadata]
noOutputExpected: false
  38. 53Bash137k1

    Tool execution only — no assistant text

    Bashcd /workspace/output && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py reset_decision_workbook.xlsx 180 (+description)

    Arguments

    Recalculate workbook

    cd /workspace/output && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py reset_decision_workbook.xlsx 180

    Output

    {
  "status": "success",
  "total_errors": 0,
  "error_summary": {},
  "total_formulas": 2428
}

[stdout]
{
  "status": "success",
  "total_errors": 0,
  "error_summary": {},
  "total_formulas": 2428
}
[metadata]
noOutputExpected: false
  39. 54Zero formula errors. Let me verify the computed values match my analysis.138k

    Zero formula errors. Let me verify the computed values match my analysis.

  40. 55Bash1

    Tool execution only — no assistant text

    Bashpython3 - << 'PYEOF' from openpyxl import load_workbook wb=load_workbook('reset_decision_workbook.xlsx',data_only=True) print("SHEETS:",wb.sheetnames) s=wb['0. Decision Summary'] print("\n--- HEADLINE ---") for r in range(6,16): v=[s.cell(row=r,column=c).value for c in range(1,5)] if v[0]: print(v) print("\n--- FIVE CALLS (GP effect) ---") for r in range(17,23): a=s.cell(row=r,column=1).value; d=s.cell(row=r,column=4).value if a: print(f"{a[:50]:52} {d}") g=wb['7. GP and Shrink Bridge'] print("\n--- BRIDGE ---") for r in range(1,80):10k chars

    Arguments

    python3 - << 'PYEOF'
from openpyxl import load_workbook
wb=load_workbook('reset_decision_workbook.xlsx',data_only=True)
print("SHEETS:",wb.sheetnames)
s=wb['0. Decision Summary']
print("\n--- HEADLINE ---")
for r in range(6,16):
    v=[s.cell(row=r,column=c).value for c in range(1,5)]
    if v[0]: print(v)
print("\n--- FIVE CALLS (GP effect) ---")
for r in range(17,23):
    a=s.cell(row=r,column=1).value; d=s.cell(row=r,column=4).value
    if a: print(f"{a[:50]:52} {d}")
g=wb['7. GP and Shrink Bridge']
print("\n--- BRIDGE ---")
for r in range(1,80):

    … 665 more characters of arguments in the raw trajectory.

    Output

    SHEETS: ['0. Decision Summary', '1. Data & Assumptions', '2. Item Economics', '3. Cluster Final Assortment', '4. Capacity Reconciliation', '5. Proposal Reconciliation', '6. Supplier Projection Test', '7. GP and Shrink Bridge', '8. Execution Risk Check']

--- HEADLINE ---
['Active SKUs in the case (chainwide)', 9, 8, -1]
['Clusters over tray capacity', 4, 0, -4]
['Placements outside signed vendor terms', 3, 0, -3]
['Clusters without a compliant vegetarian option', 2, 0, -2]
['Units sold, 4 weeks', 7042.475, 7038.35, -4.12500000000091]
['Waste units, 4 weeks', 562.283333333333, 464.575, -97.7083333333333]
['Shrink at cost, 4 weeks', 1846.50033333333, 1407.5395, -438.960833333334]
['Vendor support captured, 4 weeks', 771.82825, 663.3445, -108.48375]
['Net contribution, 4 weeks', 27721.0496666667, 27280.3955, -440.654166666674]

--- FIVE CALLS (GP effect) ---
Call                                                 4-week GP effect
Spicy Tuna Sushi Roll                                -1430.401

    … 9,108 more characters of output in the raw trajectory.

  41. 57Bash142k1

    Tool execution only — no assistant text

    Bashcd /workspace/work && python3 - << 'PYEOF' s=open('build_xlsx.py').read() s=s.replace("""hdr(w0,r,['Call','Verdict','Clusters affected','4-week GP effect','Why'],None); r+=1""", """hdr(w0,r,['Call','Verdict','Clusters affected','4-week GP effect vs proposal','Why'],None); r+=1""") s=s.replace("""('Placements outside signed vendor terms',"=3","=0",'',"Sushi in Commuter and Campus, and Caprese in Highway, are all excluded by signed offer letters."),""", """('Placements outside signed vendor terms',"=4","=0",'',"Sushi in Com

    Arguments

    cd /workspace/work && python3 - << 'PYEOF'
s=open('build_xlsx.py').read()
s=s.replace("""hdr(w0,r,['Call','Verdict','Clusters affected','4-week GP effect','Why'],None); r+=1""",
            """hdr(w0,r,['Call','Verdict','Clusters affected','4-week GP effect vs proposal','Why'],None); r+=1""")
s=s.replace("""('Placements outside signed vendor terms',"=3","=0",'',"Sushi in Commuter and Campus, and Caprese in Highway, are all excluded by signed offer letters."),""",
            """('Placements outside signed vendor terms',"=4","=0",'',"Sushi in Com

    … 620 more characters of arguments in the raw trajectory.

    Output

    saved
{
  "error": "File reset_decision_workbook.xlsx does not exist"
}

[stdout]
saved
{
  "error": "File reset_decision_workbook.xlsx does not exist"
}
[metadata]
noOutputExpected: false
  42. 58Bash142k1

    Tool execution only — no assistant text

    Bashcd /workspace/output && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py reset_decision_workbook.xlsx 180 && python3 - << 'PYEOF' from openpyxl import load_workbook wb=load_workbook('reset_decision_workbook.xlsx',data_only=True) s=wb['0. Decision Summary'] for r in range(6,23): a=s.cell(row=r,column=1).value if a: print(f"{str(a)[:50]:52} | {s.cell(row=r,column=2).value} | {s.cell(row=r,column=3).value} | {s.cell(row=r,column=4).value}") f=wb['3. Cluster Final Assortment'] print("\n--- SHEET 3 sample ---") for r in range(5,20): print([f.cell(row8k chars

    Arguments

    cd /workspace/output && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py reset_decision_workbook.xlsx 180 && python3 - << 'PYEOF'
from openpyxl import load_workbook
wb=load_workbook('reset_decision_workbook.xlsx',data_only=True)
s=wb['0. Decision Summary']
for r in range(6,23):
    a=s.cell(row=r,column=1).value
    if a: print(f"{str(a)[:50]:52} | {s.cell(row=r,column=2).value} | {s.cell(row=r,column=3).value} | {s.cell(row=r,column=4).value}")
f=wb['3. Cluster Final Assortment']
print("\n--- SHEET 3 sample ---")
for r in range(5,20):
    print([f.cell(row

    … 298 more characters of arguments in the raw trajectory.

    Output

    {
  "status": "success",
  "total_errors": 0,
  "error_summary": {},
  "total_formulas": 2428
}
Active SKUs in the case (chainwide)                  | 9 | 8 | -1
Clusters over tray capacity                          | 4 | 0 | -4
Placements outside signed vendor terms               | 4 | 0 | -4
Clusters without a compliant vegetarian option       | 2 | 0 | -2
Units sold, 4 weeks                                  | 7042.475 | 7038.35 | -4.12500000000091
Waste units, 4 weeks                                 | 562.283333333333 | 464.575 | -97.7083333333333
Shrink at cost, 4 weeks                              | 1846.50033333333 | 1407.5395 | -438.960833333334
Vendor support captured, 4 weeks                     | 771.82825 | 663.3445 | -108.48375
Net contribution, 4 weeks                            | 27721.0496666667 | 27280.3955 | -440.654166666674
THE FIVE CALLS THAT MATTER                           | None | None | None
Call                                                 | Verdict | Cluster

    … 7,196 more characters of output in the raw trajectory.

  43. 60The workbook ties out exactly. Now the memo.145k

    The workbook ties out exactly. Now the memo.

  44. 61user{"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.

  45. 62Skill1

    Tool execution only — no assistant text

    Skilldocx

    Arguments

    docx

    Output

    Launching skill: docx

[metadata]
success: true
commandName: docx
  46. 63Bash154k1

    Tool execution only — no assistant text

    Bashcd /workspace/work && npm ls -g docx 2>/dev/null | head -3 || npm install -g docx 2>&1 | tail -2 (+description)

    Arguments

    Check docx library availability

    cd /workspace/work && npm ls -g docx 2>/dev/null | head -3 || npm install -g docx 2>&1 | tail -2

    Output

    (Bash completed with no output)

[metadata]
noOutputExpected: false
  47. 64Bash154k1

    Tool execution only — no assistant text

    Bashnode -e "require('docx');console.log('docx ok')" 2>&1 | tail -2 || npm install -g docx 2>&1 | tail -3 (+description)

    Arguments

    Verify docx module loads

    node -e "require('docx');console.log('docx ok')" 2>&1 | tail -2 || npm install -g docx 2>&1 | tail -3

    Output

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

[stdout]
/bin/bash: line 1: node: command not found
[metadata]
noOutputExpected: false
  48. 65Bash154k1

    Tool execution only — no assistant text

    Bashwhich nodejs npm python3; python3 -c "import docx; print('python-docx', docx.__version__ if hasattr(docx,'__version__') else 'ok')" (+description)

    Arguments

    Check available document tooling

    which nodejs npm python3; python3 -c "import docx; print('python-docx', docx.__version__ if hasattr(docx,'__version__') else 'ok')"

    Output

    /usr/local/bin/python3
python-docx 1.2.0

[stdout]
/usr/local/bin/python3
python-docx 1.2.0
[metadata]
noOutputExpected: false
  49. 67Bash158k1

    Tool execution only — no assistant text

    Bashcat > /workspace/work/memo.py << 'PYEOF' from docx import Document from docx.shared import Pt, Inches, RGBColor, Emu from docx.enum.text import WD_ALIGN_PARAGRAPH from docx.enum.table import WD_TABLE_ALIGNMENT from docx.enum.section import WD_SECTION from docx.oxml.ns import qn from docx.oxml import OxmlElement NAVY=RGBColor(0x1F,0x38,0x64); GREY=RGBColor(0x59,0x59,0x59); RED=RGBColor(0xC0,0,0) doc=Document() sec=doc.sections[0] sec.page_width=Inches(8.5); sec.page_height=Inches(11) sec.left_margin=sec.right_margin=Inches(0.9); sec.top_margin=Inches(0.8); sec.bottom_m

    Arguments

    cat > /workspace/work/memo.py << 'PYEOF'
from docx import Document
from docx.shared import Pt, Inches, RGBColor, Emu
from docx.enum.text import WD_ALIGN_PARAGRAPH
from docx.enum.table import WD_TABLE_ALIGNMENT
from docx.enum.section import WD_SECTION
from docx.oxml.ns import qn
from docx.oxml import OxmlElement

NAVY=RGBColor(0x1F,0x38,0x64); GREY=RGBColor(0x59,0x59,0x59); RED=RGBColor(0xC0,0,0)
doc=Document()
sec=doc.sections[0]
sec.page_width=Inches(8.5); sec.page_height=Inches(11)
sec.left_margin=sec.right_margin=Inches(0.9); sec.top_margin=Inches(0.8); sec.bottom_m

    … 5,405 more characters of arguments in the raw trajectory.

    Output

    ok

[stdout]
ok
[metadata]
noOutputExpected: false
  50. 68Bash161k1

    Tool execution only — no assistant text

    Bashcat >> /workspace/work/memo.py << 'PYEOF' # ---------------- 1. RECOMMENDATION ---------------- doc.add_heading('Recommendation',1) rich([('Release the reset with four changes to the buyer proposal, not as written. ',True), ('The proposal is a reasonable read on what the case should look like by autumn, but it does not fit the case we actually have in July. It exceeds available tray capacity in four of five clusters, it places three items on routes the signed offer letters do not cover, and it leaves two clusters without a compliant vegetarian option. Those are not tuni

    Arguments

    cat >> /workspace/work/memo.py << 'PYEOF'

# ---------------- 1. RECOMMENDATION ----------------
doc.add_heading('Recommendation',1)
rich([('Release the reset with four changes to the buyer proposal, not as written. ',True),
      ('The proposal is a reasonable read on what the case should look like by autumn, but it does not fit the case we actually have in July. It exceeds available tray capacity in four of five clusters, it places three items on routes the signed offer letters do not cover, and it leaves two clusters without a compliant vegetarian option. Those are not tuni

    … 6,989 more characters of arguments in the raw trajectory.

    Output

    ok

[stdout]
ok
[metadata]
noOutputExpected: false
  51. 69Bash165k1

    Tool execution only — no assistant text

    Bashcat >> /workspace/work/memo.py << 'PYEOF' # ---------------- 3. REVISED ASSORTMENT ---------------- doc.add_page_break() doc.add_heading('Revised cluster assortment',1) para('Facings shown are final. Metro Core runs two planogram versions because sushi cannot be shipped to Metro stores off route M-11 under the signed terms; every other cluster runs one set. A dash means the item is not ranged in that cluster.') H=['Item','Metro A\n(M-11)','Metro B\n(other)','Commuter\nSuburban','Campus /\nHospital','Highway /\nTravel','Rural\nNorth'] R=[['Chicken Caesar Wrap','2','2

    Arguments

    cat >> /workspace/work/memo.py << 'PYEOF'

# ---------------- 3. REVISED ASSORTMENT ----------------
doc.add_page_break()
doc.add_heading('Revised cluster assortment',1)
para('Facings shown are final. Metro Core runs two planogram versions because sushi cannot be shipped to Metro stores off route M-11 under the signed terms; every other cluster runs one set. A dash means the item is not ranged in that cluster.')

H=['Item','Metro A\n(M-11)','Metro B\n(other)','Commuter\nSuburban','Campus /\nHospital','Highway /\nTravel','Rural\nNorth']
R=[['Chicken Caesar Wrap','2','2

    … 8,402 more characters of arguments in the raw trajectory.

    Output

    ok

[stdout]
ok
[metadata]
noOutputExpected: false
  52. 70Bash168k1

    Tool execution only — no assistant text

    Bashcat >> /workspace/work/memo.py << 'PYEOF' # ---------------- 5. EXECUTION RISKS ---------------- doc.add_page_break() doc.add_heading('Execution risks and open items',1) para('These are the things that will break the reset in store if they are not closed before the set is released. The first two need a decision from you; the rest need an owner.') doc.add_heading('1. We do not know which Metro stores are on route M-11 - blocking',2) para('The Sakura letter grants the daily route and the waste credit to "Metro Core stores listed on route M-11" and never says which stor

    Arguments

    cat >> /workspace/work/memo.py << 'PYEOF'

# ---------------- 5. EXECUTION RISKS ----------------
doc.add_page_break()
doc.add_heading('Execution risks and open items',1)
para('These are the things that will break the reset in store if they are not closed before the set is released. The first two need a decision from you; the rest need an owner.')

doc.add_heading('1.  We do not know which Metro stores are on route M-11  -  blocking',2)
para('The Sakura letter grants the daily route and the waste credit to "Metro Core stores listed on route M-11" and never says which stor

    … 6,897 more characters of arguments in the raw trajectory.

    Output

    saved

[stdout]
saved
[metadata]
noOutputExpected: false
  53. 71Bash168k1

    Tool execution only — no assistant text

    Bashcd /workspace/output && python3 /logs/agent/sessions/skills/docx/scripts/office/validate.py grab_go_reset_memo.docx && python3 /logs/agent/sessions/skills/docx/scripts/office/soffice.py --headless --convert-to pdf grab_go_reset_memo.docx >/dev/null 2>&1; pdfinfo grab_go_reset_memo.pdf 2>/dev/null | head -3; pdftoppm -jpeg -r 75 grab_go_reset_memo.pdf pg (+description)

    Arguments

    Validate memo and render to images

    cd /workspace/output && python3 /logs/agent/sessions/skills/docx/scripts/office/validate.py grab_go_reset_memo.docx && python3 /logs/agent/sessions/skills/docx/scripts/office/soffice.py --headless --convert-to pdf grab_go_reset_memo.docx >/dev/null 2>&1; pdfinfo grab_go_reset_memo.pdf 2>/dev/null | head -3; pdftoppm -jpeg -r 75 grab_go_reset_memo.pdf pg

    Output

    Exit code 1

FAILED - Found NEW validation errors:
  word/document.xml: 2 new error(s)
    - Element '{http://schemas.openxmlformats.org/wordprocessingml/2006/main}tblCellMar': This element is not expected. Expected is one of ( {http://schemas.openxmlformats.org/wordprocessingml/2006/main}tblCaption, {http://schemas.openxmlformats.org/wordpr...
    - Element '{http://schemas.openxmlformats.org/wordprocessingml/2006/main}shd': This element is not expected. Expected is one of ( {http://schemas.openxmlformats.org/wordprocessingml/2006/main}noWrap, {http://schemas.openxmlformats.org/wordprocessingml/...
  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 → 456 (+456)
I/O Error: Couldn't open file 'grab_go_reset_memo.pdf': No such file or directory.

[error] tool reported failure
  54. 73Bash171k1

    Tool execution only — no assistant text

    Bashpython3 - << 'PYEOF' s=open('memo.py').read() s=s.replace("""def shade(cell,hexc): tcPr=cell._tc.get_or_add_tcPr(); sh=OxmlElement('w:shd') sh.set(qn('w:val'),'clear'); sh.set(qn('w:color'),'auto'); sh.set(qn('w:fill'),hexc); tcPr.append(sh) def cellmargins(t): tblPr=t._tbl.tblPr; m=OxmlElement('w:tblCellMar') for k,v in [('top',60),('left',90),('bottom',60),('right',90)]: e=OxmlElement('w:'+k); e.set(qn('w:w'),str(v)); e.set(qn('w:type'),'dxa'); m.append(e) tblPr.append(m)""", """def shade(cell,hexc): tcPr=cell._tc.get_or_add_tcP

    Arguments

    python3 - << 'PYEOF'
s=open('memo.py').read()
s=s.replace("""def shade(cell,hexc):
    tcPr=cell._tc.get_or_add_tcPr(); sh=OxmlElement('w:shd')
    sh.set(qn('w:val'),'clear'); sh.set(qn('w:color'),'auto'); sh.set(qn('w:fill'),hexc); tcPr.append(sh)
def cellmargins(t):
    tblPr=t._tbl.tblPr; m=OxmlElement('w:tblCellMar')
    for k,v in [('top',60),('left',90),('bottom',60),('right',90)]:
        e=OxmlElement('w:'+k); e.set(qn('w:w'),str(v)); e.set(qn('w:type'),'dxa'); m.append(e)
    tblPr.append(m)""",
"""def shade(cell,hexc):
    tcPr=cell._tc.get_or_add_tcP

    … 1,177 more characters of arguments in the raw trajectory.

    Output

    saved

Paragraphs: 0 → 456 (+456)
All validations PASSED!

[stdout]
saved

Paragraphs: 0 → 456 (+456)
All validations PASSED!
[metadata]
noOutputExpected: false
  55. 74Bash171k1

    Tool execution only — no assistant text

    Bashpython3 /logs/agent/sessions/skills/docx/scripts/office/soffice.py --headless --convert-to pdf grab_go_reset_memo.docx >/dev/null 2>&1; pdfinfo grab_go_reset_memo.pdf | grep Pages; pdftoppm -jpeg -r 70 grab_go_reset_memo.pdf pg && ls pg* (+description)

    Arguments

    Render memo to page images

    python3 /logs/agent/sessions/skills/docx/scripts/office/soffice.py --headless --convert-to pdf grab_go_reset_memo.docx >/dev/null 2>&1; pdfinfo grab_go_reset_memo.pdf | grep Pages; pdftoppm -jpeg -r 70 grab_go_reset_memo.pdf pg && ls pg*

    Output

    Pages:           9
pg-1.jpg
pg-2.jpg
pg-3.jpg
pg-4.jpg
pg-5.jpg
pg-6.jpg
pg-7.jpg
pg-8.jpg
pg-9.jpg

[stdout]
Pages:           9
pg-1.jpg
pg-2.jpg
pg-3.jpg
pg-4.jpg
pg-5.jpg
pg-6.jpg
pg-7.jpg
pg-8.jpg
pg-9.jpg
[metadata]
noOutputExpected: false
  56. 76Read171k1

    Tool execution only — no assistant text

    Read/workspace/output/pg-1.jpg195k chars

    Arguments

    /workspace/output/pg-1.jpg

    Output

    type: image
source:
  type: base64
  data: 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

    … 193,842 more characters of output in the raw trajectory.

  57. 77Read1

    Tool execution only — no assistant text

    Read/workspace/output/pg-2.jpg283k chars

    Arguments

    /workspace/output/pg-2.jpg

    Output

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

    … 282,139 more characters of output in the raw trajectory.

  58. 79Bash173k1

    Tool execution only — no assistant text

    Bashfc-list : family 2>/dev/null | tr ',' '\n' | sort -u | head -30; echo "---"; cd /tmp && rm -rf uz && mkdir uz && cd uz && unzip -o -q /workspace/output/grab_go_reset_memo.docx && python3 -c " import re d=open('word/document.xml').read() print(re.findall(r'<w:rFonts[^>]*>',d)[:3]) print(len(re.findall(r'w:ascii=\"Arial\"',d)),'Arial runs') " (+description)

    Arguments

    Check installed fonts and document font settings

    fc-list : family 2>/dev/null | tr ',' '\n' | sort -u | head -30; echo "---"; cd /tmp && rm -rf uz && mkdir uz && cd uz && unzip -o -q /workspace/output/grab_go_reset_memo.docx && python3 -c "
import re
d=open('word/document.xml').read()
print(re.findall(r'<w:rFonts[^>]*>',d)[:3])
print(len(re.findall(r'w:ascii=\"Arial\"',d)),'Arial runs')
"

    Output

    Exit code 127
DejaVu Sans
DejaVu Sans Mono
DejaVu Serif
OpenSymbol
---
/bin/bash: line 6: unzip: command not found

[error] tool reported failure
  59. 81Bash174k1

    Tool execution only — no assistant text

    Bashpython3 -c " import zipfile,re d=zipfile.ZipFile('/workspace/output/grab_go_reset_memo.docx').read('word/document.xml').decode() print('Arial run refs:',len(re.findall(r'w:ascii=\"Arial\"',d))) print('sample:',re.findall(r'<w:rFonts[^>]*/>',d)[:2]) s=zipfile.ZipFile('/workspace/output/grab_go_reset_memo.docx').read('word/styles.xml').decode() print('Normal style:',re.search(r'w:styleId=\"Normal\".{0,400}',s,re.S).group()[:300]) " (+description)

    Arguments

    Confirm Arial is declared in document XML

    python3 -c "
import zipfile,re
d=zipfile.ZipFile('/workspace/output/grab_go_reset_memo.docx').read('word/document.xml').decode()
print('Arial run refs:',len(re.findall(r'w:ascii=\"Arial\"',d)))
print('sample:',re.findall(r'<w:rFonts[^>]*/>',d)[:2])
s=zipfile.ZipFile('/workspace/output/grab_go_reset_memo.docx').read('word/styles.xml').decode()
print('Normal style:',re.search(r'w:styleId=\"Normal\".{0,400}',s,re.S).group()[:300])
"

    Output

    Arial run refs: 437
sample: ['<w:rFonts w:ascii="Arial" w:hAnsi="Arial"/>', '<w:rFonts w:ascii="Arial" w:hAnsi="Arial"/>']
Normal style: w:styleId="Normal"><w:name w:val="Normal"/><w:qFormat/><w:rsid w:val="00FC693F"/><w:pPr><w:spacing w:after="140" w:line="269" w:lineRule="auto"/></w:pPr><w:rPr><w:rFonts w:ascii="Arial" w:hAnsi="Arial" w:eastAsia="Arial"/><w:sz w:val="20"/></w:rPr></w:style><w:style w:type="paragraph" w:styleId="Hea

[stdout]
Arial run refs: 437
sample: ['<w:rFonts w:ascii="Arial" w:hAnsi="Arial"/>', '<w:rFonts w:ascii="Arial" w:hAnsi="Arial"/>']
Normal style: w:styleId="Normal"><w:name w:val="Normal"/><w:qFormat/><w:rsid w:val="00FC693F"/><w:pPr><w:spacing w:after="140" w:line="269" w:lineRule="auto"/></w:pPr><w:rPr><w:rFonts w:ascii="Arial" w:hAnsi="Arial" w:eastAsia="Arial"/><w:sz w:val="20"/></w:rPr></w:style><w:style w:type="paragraph" w:styleId="Hea
[metadata]
noOutputExpected: false
  60. 83Arial is correctly declared throughout (437 runs) — the serif look is just font substitution in this render environment.…174k

    Arial is correctly declared throughout (437 runs) — the serif look is just font substitution in this render environment. Let me review the remaining pages.

  61. 84Read1

    Tool execution only — no assistant text

    Read/workspace/output/pg-3.jpg170k chars

    Arguments

    /workspace/output/pg-3.jpg

    Output

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

    … 169,458 more characters of output in the raw trajectory.

  62. 85Read1

    Tool execution only — no assistant text

    Read/workspace/output/pg-4.jpg214k chars

    Arguments

    /workspace/output/pg-4.jpg

    Output

    type: image
source:
  type: base64
  data: 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

    … 213,290 more characters of output in the raw trajectory.

  63. 87Read176k1

    Tool execution only — no assistant text

    Read/workspace/output/pg-5.jpg143k chars

    Arguments

    /workspace/output/pg-5.jpg

    Output

    type: image
source:
  type: base64
  data: 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

    … 141,922 more characters of output in the raw trajectory.

  64. 88Read1

    Tool execution only — no assistant text

    Read/workspace/output/pg-6.jpg233k chars

    Arguments

    /workspace/output/pg-6.jpg

    Output

    type: image
source:
  type: base64
  data: 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

    … 232,074 more characters of output in the raw trajectory.

  65. 89Read177k1

    Tool execution only — no assistant text

    Read/workspace/output/pg-7.jpg174k chars

    Arguments

    /workspace/output/pg-7.jpg

    Output

    type: image
source:
  type: base64
  data: 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

    … 173,058 more characters of output in the raw trajectory.

  66. 90Read1

    Tool execution only — no assistant text

    Read/workspace/output/pg-8.jpg298k chars

    Arguments

    /workspace/output/pg-8.jpg

    Output

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

    … 297,019 more characters of output in the raw trajectory.

  67. 91Read179k1

    Tool execution only — no assistant text

    Read/workspace/output/pg-9.jpg243k chars

    Arguments

    /workspace/output/pg-9.jpg

    Output

    type: image
source:
  type: base64
  data: 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

    … 241,930 more characters of output in the raw trajectory.

  68. 93Let me fix the table header wrapping and page-break whitespace.183k

    Let me fix the table header wrapping and page-break whitespace.

  69. 94Bash1

    Tool execution only — no assistant text

    Bashcd /workspace/work && python3 - << 'PYEOF' s=open('memo.py').read() # multi-line header/cell support s=s.replace(""" p=c.paragraphs[0]; p.paragraph_format.space_after=Pt(0) r=p.add_run(h); r.bold=True; r.font.size=Pt(fontsize); r.font.name='Arial'; r.font.color.rgb=RGBColor(0xFF,0xFF,0xFF)""", """ p=c.paragraphs[0]; p.paragraph_format.space_after=Pt(0) for li,ln in enumerate(str(h).split('\\n')): r=p.add_run(ln); r.bold=True; r.font.size=Pt(fontsize); r.font.name='Arial'; r.font.color.rgb=RGBColor(0xFF,0xFF,0xFF)

    Arguments

    cd /workspace/work && python3 - << 'PYEOF'
s=open('memo.py').read()

# multi-line header/cell support
s=s.replace("""        p=c.paragraphs[0]; p.paragraph_format.space_after=Pt(0)
        r=p.add_run(h); r.bold=True; r.font.size=Pt(fontsize); r.font.name='Arial'; r.font.color.rgb=RGBColor(0xFF,0xFF,0xFF)""",
"""        p=c.paragraphs[0]; p.paragraph_format.space_after=Pt(0)
        for li,ln in enumerate(str(h).split('\\n')):
            r=p.add_run(ln); r.bold=True; r.font.size=Pt(fontsize); r.font.name='Arial'; r.font.color.rgb=RGBColor(0xFF,0xFF,0xFF)

    … 2,952 more characters of arguments in the raw trajectory.

    Output

    Exit code 1
saved
Traceback (most recent call last):
  File "/logs/agent/sessions/skills/docx/scripts/office/validate.py", line 111, in <module>
    main()
  File "/logs/agent/sessions/skills/docx/scripts/office/validate.py", line 56, in main
    assert path.exists(), f"Error: {path} does not exist"
           ^^^^^^^^^^^^^
AssertionError: Error: grab_go_reset_memo.docx does not exist
I/O Error: Couldn't open file 'grab_go_reset_memo.pdf': No such file or directory.
I/O Error: Couldn't open file 'grab_go_reset_memo.pdf': No such file or directory.

[error] tool reported failure
  70. 95Bash184k1

    Tool execution only — no assistant text

    Bashpython3 /logs/agent/sessions/skills/docx/scripts/office/validate.py grab_go_reset_memo.docx && rm -f pg-*.jpg grab_go_reset_memo.pdf && python3 /logs/agent/sessions/skills/docx/scripts/office/soffice.py --headless --convert-to pdf grab_go_reset_memo.docx >/dev/null 2>&1; pdfinfo grab_go_reset_memo.pdf|grep Pages; pdftoppm -jpeg -r 70 grab_go_reset_memo.pdf pg (+description)

    Arguments

    Validate and render updated memo

    python3 /logs/agent/sessions/skills/docx/scripts/office/validate.py grab_go_reset_memo.docx && rm -f pg-*.jpg grab_go_reset_memo.pdf && python3 /logs/agent/sessions/skills/docx/scripts/office/soffice.py --headless --convert-to pdf grab_go_reset_memo.docx >/dev/null 2>&1; pdfinfo grab_go_reset_memo.pdf|grep Pages; pdftoppm -jpeg -r 70 grab_go_reset_memo.pdf pg

    Output

    Paragraphs: 0 → 453 (+453)
All validations PASSED!
Pages:           8

[stdout]
Paragraphs: 0 → 453 (+453)
All validations PASSED!
Pages:           8
[metadata]
noOutputExpected: false
  71. 96Read184k1

    Tool execution only — no assistant text

    Read/workspace/output/pg-3.jpg264k chars

    Arguments

    /workspace/output/pg-3.jpg

    Output

    type: image
source:
  type: base64
  data: 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

    … 263,370 more characters of output in the raw trajectory.

  72. 97Read1

    Tool execution only — no assistant text

    Read/workspace/output/pg-4.jpg235k chars

    Arguments

    /workspace/output/pg-4.jpg

    Output

    type: image
source:
  type: base64
  data: 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

    … 234,186 more characters of output in the raw trajectory.

  73. 99Bash186k1

    Tool execution only — no assistant text

    Bashcd /workspace/work && python3 - << 'PYEOF' s=open('memo.py').read() s=s.replace(""" for i,h in enumerate(headers): c=t.rows[0].cells[i]; shade(c,hdrfill); c.width=Emu(int(CW*widths[i]/tot))""", """ trPr=t.rows[0]._tr.get_or_add_trPr() th=OxmlElement('w:tblHeader'); trPr.append(th) for i,h in enumerate(headers): c=t.rows[0].cells[i]; shade(c,hdrfill); c.width=Emu(int(CW*widths[i]/tot))""") s=s.replace("table(H,R,[31,11.5,11.5,11.5,11.5,11.5,11.5],fontsize=8.5)","table(H,R,[28,12,12,12,12,12,12],fontsize=8)") open('memo.py','w').

    Arguments

    cd /workspace/work && python3 - << 'PYEOF'
s=open('memo.py').read()
s=s.replace("""    for i,h in enumerate(headers):
        c=t.rows[0].cells[i]; shade(c,hdrfill); c.width=Emu(int(CW*widths[i]/tot))""",
"""    trPr=t.rows[0]._tr.get_or_add_trPr()
    th=OxmlElement('w:tblHeader'); trPr.append(th)
    for i,h in enumerate(headers):
        c=t.rows[0].cells[i]; shade(c,hdrfill); c.width=Emu(int(CW*widths[i]/tot))""")
s=s.replace("table(H,R,[31,11.5,11.5,11.5,11.5,11.5,11.5],fontsize=8.5)","table(H,R,[28,12,12,12,12,12,12],fontsize=8)")
open('memo.py','w').

    … 455 more characters of arguments in the raw trajectory.

    Output

    Exit code 1
saved
Traceback (most recent call last):
  File "/logs/agent/sessions/skills/docx/scripts/office/validate.py", line 111, in <module>
    main()
  File "/logs/agent/sessions/skills/docx/scripts/office/validate.py", line 56, in main
    assert path.exists(), f"Error: {path} does not exist"
           ^^^^^^^^^^^^^
AssertionError: Error: grab_go_reset_memo.docx does not exist
I/O Error: Couldn't open file 'grab_go_reset_memo.pdf': No such file or directory.
I/O Error: Couldn't open file 'grab_go_reset_memo.pdf': No such file or directory.

[error] tool reported failure
  74. 100Bash187k1

    Tool execution only — no assistant text

    Bashpython3 /logs/agent/sessions/skills/docx/scripts/office/validate.py grab_go_reset_memo.docx && rm -f pg-*.jpg grab_go_reset_memo.pdf && python3 /logs/agent/sessions/skills/docx/scripts/office/soffice.py --headless --convert-to pdf grab_go_reset_memo.docx >/dev/null 2>&1; pdfinfo grab_go_reset_memo.pdf|grep Pages; pdftoppm -jpeg -r 70 grab_go_reset_memo.pdf pg && ls (+description)

    Arguments

    Validate and render memo from output dir

    python3 /logs/agent/sessions/skills/docx/scripts/office/validate.py grab_go_reset_memo.docx && rm -f pg-*.jpg grab_go_reset_memo.pdf && python3 /logs/agent/sessions/skills/docx/scripts/office/soffice.py --headless --convert-to pdf grab_go_reset_memo.docx >/dev/null 2>&1; pdfinfo grab_go_reset_memo.pdf|grep Pages; pdftoppm -jpeg -r 70 grab_go_reset_memo.pdf pg && ls

    Output

    Paragraphs: 0 → 453 (+453)
All validations PASSED!
Pages:           8
grab_go_reset_memo.docx
grab_go_reset_memo.pdf
pg-1.jpg
pg-2.jpg
pg-3.jpg
pg-4.jpg
pg-5.jpg
pg-6.jpg
pg-7.jpg
pg-8.jpg
reset_decision_workbook.xlsx

[stdout]
Paragraphs: 0 → 453 (+453)
All validations PASSED!
Pages:           8
grab_go_reset_memo.docx
grab_go_reset_memo.pdf
pg-1.jpg
pg-2.jpg
pg-3.jpg
pg-4.jpg
pg-5.jpg
pg-6.jpg
pg-7.jpg
pg-8.jpg
reset_decision_workbook.xlsx
[metadata]
noOutputExpected: false
  75. 101Read187k1

    Tool execution only — no assistant text

    Read/workspace/output/pg-4.jpg229k chars

    Arguments

    /workspace/output/pg-4.jpg

    Output

    type: image
source:
  type: base64
  data: 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

    … 227,690 more characters of output in the raw trajectory.

  76. 102Read1

    Tool execution only — no assistant text

    Read/workspace/output/pg-5.jpg226k chars

    Arguments

    /workspace/output/pg-5.jpg

    Output

    type: image
source:
  type: base64
  data: 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

    … 224,762 more characters of output in the raw trajectory.

  77. 104Bash190k1

    Tool execution only — no assistant text

    Bashcd /workspace/work && python3 - << 'PYEOF' s=open('memo.py').read() s=s.replace(""" for ri,row in enumerate(rows): cells=t.add_row().cells""", """ for ri,row in enumerate(rows): newrow=t.add_row() cs=OxmlElement('w:cantSplit'); newrow._tr.get_or_add_trPr().append(cs) cells=newrow.cells""") s=s.replace(""" th=OxmlElement('w:tblHeader'); trPr.append(th)""", """ th=OxmlElement('w:tblHeader'); trPr.append(th) cs0=OxmlElement('w:cantSplit'); trPr.append(cs0)""") s=s.replace("table(H5,R5,[24,9,9,9,9,9,7,3

    Arguments

    cd /workspace/work && python3 - << 'PYEOF'
s=open('memo.py').read()
s=s.replace("""    for ri,row in enumerate(rows):
        cells=t.add_row().cells""",
"""    for ri,row in enumerate(rows):
        newrow=t.add_row()
        cs=OxmlElement('w:cantSplit'); newrow._tr.get_or_add_trPr().append(cs)
        cells=newrow.cells""")
s=s.replace("""    th=OxmlElement('w:tblHeader'); trPr.append(th)""",
"""    th=OxmlElement('w:tblHeader'); trPr.append(th)
    cs0=OxmlElement('w:cantSplit'); trPr.append(cs0)""")
s=s.replace("table(H5,R5,[24,9,9,9,9,9,7,3

    … 564 more characters of arguments in the raw trajectory.

    Output

    Exit code 1
saved
Traceback (most recent call last):
  File "/logs/agent/sessions/skills/docx/scripts/office/validate.py", line 111, in <module>
    main()
  File "/logs/agent/sessions/skills/docx/scripts/office/validate.py", line 56, in main
    assert path.exists(), f"Error: {path} does not exist"
           ^^^^^^^^^^^^^
AssertionError: Error: grab_go_reset_memo.docx does not exist
I/O Error: Couldn't open file 'grab_go_reset_memo.pdf': No such file or directory.
I/O Error: Couldn't open file 'grab_go_reset_memo.pdf': No such file or directory.

[error] tool reported failure
  78. 105Bash190k1

    Tool execution only — no assistant text

    Bashpython3 /logs/agent/sessions/skills/docx/scripts/office/validate.py grab_go_reset_memo.docx && rm -f pg-*.jpg grab_go_reset_memo.pdf && python3 /logs/agent/sessions/skills/docx/scripts/office/soffice.py --headless --convert-to pdf grab_go_reset_memo.docx >/dev/null 2>&1; pdfinfo grab_go_reset_memo.pdf|grep Pages; pdftoppm -jpeg -r 70 grab_go_reset_memo.pdf pg (+description)

    Arguments

    Validate and render memo

    python3 /logs/agent/sessions/skills/docx/scripts/office/validate.py grab_go_reset_memo.docx && rm -f pg-*.jpg grab_go_reset_memo.pdf && python3 /logs/agent/sessions/skills/docx/scripts/office/soffice.py --headless --convert-to pdf grab_go_reset_memo.docx >/dev/null 2>&1; pdfinfo grab_go_reset_memo.pdf|grep Pages; pdftoppm -jpeg -r 70 grab_go_reset_memo.pdf pg

    Output

    Paragraphs: 0 → 453 (+453)
All validations PASSED!
Pages:           8

[stdout]
Paragraphs: 0 → 453 (+453)
All validations PASSED!
Pages:           8
[metadata]
noOutputExpected: false
  79. 106Read190k1

    Tool execution only — no assistant text

    Read/workspace/output/pg-4.jpg234k chars

    Arguments

    /workspace/output/pg-4.jpg

    Output

    type: image
source:
  type: base64
  data: 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

    … 233,234 more characters of output in the raw trajectory.

  80. 107Read1

    Tool execution only — no assistant text

    Read/workspace/output/pg-6.jpg284k chars

    Arguments

    /workspace/output/pg-6.jpg

    Output

    type: image
source:
  type: base64
  data: 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

    … 283,059 more characters of output in the raw trajectory.

  81. 109Bash193k1

    Tool execution only — no assistant text

    Bashrm -f pg-*.jpg grab_go_reset_memo.pdf && python3 - << 'PYEOF' from openpyxl import load_workbook wb=load_workbook('reset_decision_workbook.xlsx',data_only=True) x=wb['8. Execution Risk Check'] print("--- CODE DATE vs GAP (failures) ---") for r in range(6,45): if x.cell(row=r,column=8).value=='NO': print([x.cell(row=r,column=c).value for c in [1,4,5,6,7,8,12,13]]) print("\n--- VENDOR SUPPORT CAPS ---") for r in range(1,80): a=x.cell(row=r,column=1).value if a and isinstance(a,str) and ('scan allowance on' in a or 'shrink credit on' in a or 'waste4k chars

    Arguments

    rm -f pg-*.jpg grab_go_reset_memo.pdf && python3 - << 'PYEOF'
from openpyxl import load_workbook
wb=load_workbook('reset_decision_workbook.xlsx',data_only=True)
x=wb['8. Execution Risk Check']
print("--- CODE DATE vs GAP (failures) ---")
for r in range(6,45):
    if x.cell(row=r,column=8).value=='NO':
        print([x.cell(row=r,column=c).value for c in [1,4,5,6,7,8,12,13]])
print("\n--- VENDOR SUPPORT CAPS ---")
for r in range(1,80):
    a=x.cell(row=r,column=1).value
    if a and isinstance(a,str) and ('scan allowance on' in a or 'shrink credit on' in a or 'waste

    … 749 more characters of arguments in the raw trajectory.

    Output

    --- CODE DATE vs GAP (failures) ---
['HWY', 'Hummus Veggie Wrap', 2, 3, 2.33333333333333, 'NO', 4.89795918367347, 0.155172413793103]
['RUR', 'Chicken Caesar Wrap', 3, 2, 3.5, 'NO', 3.25423728813559, 0.0527522935779817]
['RUR', 'Turkey Club Sandwich', 3, 2, 3.5, 'NO', 2.47787610619469, 0.048421052631579]
['RUR', 'Southwest Chicken Bowl', 3, 2, 3.5, 'NO', 5.78064516129032, 0.192708333333333]
['RUR', 'Hummus Veggie Wrap', 2, 2, 3.5, 'NO', 5.2093023255814, 0.180952380952381]

--- VENDOR SUPPORT CAPS ---
GreenFork scan allowance on Caprese Ciabatta       rate=0.4 units=373.2 cap=5500 val=149.28
Urban Spoon scan allowance on Protein Snack Box    rate=0.35 units=1214.15 cap=8000 val=424.9525
GreenFork 30% shrink credit on Hummus and Capres   rate=0.3 units=n/a cap=no cap val=60.087
Sakura 50% waste credit on sushi, route M-11 onl   rate=0.5 units=13.5 cap=no cap val=29.025
TOTAL VENDOR SUPPORT CAPTURED                      rate=None units=None cap=None val=663.3445

--- VERDICT COUNTS (from s

    … 2,626 more characters of output in the raw trajectory.

  82. 111Bash194k1

    Tool execution only — no assistant text

    Bashpython3 /logs/agent/sessions/skills/docx/scripts/office/soffice.py --headless --convert-to pdf reset_decision_workbook.xlsx >/dev/null 2>&1; pdftoppm -jpeg -r 55 -f 1 -l 2 reset_decision_workbook.pdf wb; ls wb* (+description)

    Arguments

    Render workbook first pages to check layout

    python3 /logs/agent/sessions/skills/docx/scripts/office/soffice.py --headless --convert-to pdf reset_decision_workbook.xlsx >/dev/null 2>&1; pdftoppm -jpeg -r 55 -f 1 -l 2 reset_decision_workbook.pdf wb; ls wb*

    Output

    wb-01.jpg
wb-02.jpg

[stdout]
wb-01.jpg
wb-02.jpg
[metadata]
noOutputExpected: false
  83. 112Read194k1

    Tool execution only — no assistant text

    Read/workspace/output/wb-01.jpg75k chars

    Arguments

    /workspace/output/wb-01.jpg

    Output

    type: image
source:
  type: base64
  data: 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

    … 74,370 more characters of output in the raw trajectory.

  84. 114Bash195k1

    Tool execution only — no assistant text

    Bashrm -f wb-*.jpg reset_decision_workbook.pdf && cd /workspace/work && cat >> build_xlsx.py << 'PYEOF' from openpyxl.worksheet.properties import PageSetupProperties wb2=wb for sh in wb2.worksheets: sh.page_setup.orientation='landscape' sh.page_setup.fitToWidth=1; sh.page_setup.fitToHeight=0 sh.sheet_properties.pageSetUpPr=PageSetupProperties(fitToPage=True) sh.print_options.horizontalCentered=False sh.page_margins.left=sh.page_margins.right=0.35 sh.page_margins.top=sh.page_margins.bottom=0.45 sh.oddFooter.right.text="&P of &N"; sh.oddFooter.le

    Arguments

    rm -f wb-*.jpg reset_decision_workbook.pdf && cd /workspace/work && cat >> build_xlsx.py << 'PYEOF'

from openpyxl.worksheet.properties import PageSetupProperties
wb2=wb
for sh in wb2.worksheets:
    sh.page_setup.orientation='landscape'
    sh.page_setup.fitToWidth=1; sh.page_setup.fitToHeight=0
    sh.sheet_properties.pageSetUpPr=PageSetupProperties(fitToPage=True)
    sh.print_options.horizontalCentered=False
    sh.page_margins.left=sh.page_margins.right=0.35
    sh.page_margins.top=sh.page_margins.bottom=0.45
    sh.oddFooter.right.text="&P of &N"; sh.oddFooter.le

    … 290 more characters of arguments in the raw trajectory.

    Output

    saved
saved with print setup
{
  "error": "File reset_decision_workbook.xlsx does not exist"
}

[stdout]
saved
saved with print setup
{
  "error": "File reset_decision_workbook.xlsx does not exist"
}
[metadata]
noOutputExpected: false
  85. 115Bash196k1

    Tool execution only — no assistant text

    Bashcd /workspace/output && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py reset_decision_workbook.xlsx 180 && ls -la /workspace/output && python3 -c " from openpyxl import load_workbook wb=load_workbook('reset_decision_workbook.xlsx',data_only=True) s=wb['0. Decision Summary'] print('spot check:',s.cell(row=14,column=2).value, s.cell(row=14,column=3).value) print('sheets:',len(wb.sheetnames)) " (+description)

    Arguments

    Final recalculation and deliverable check

    cd /workspace/output && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py reset_decision_workbook.xlsx 180 && ls -la /workspace/output && python3 -c "
from openpyxl import load_workbook
wb=load_workbook('reset_decision_workbook.xlsx',data_only=True)
s=wb['0. Decision Summary']
print('spot check:',s.cell(row=14,column=2).value, s.cell(row=14,column=3).value)
print('sheets:',len(wb.sheetnames))
"

    Output

    {
  "status": "success",
  "total_errors": 0,
  "error_summary": {},
  "total_formulas": 2428
}
total 132
drwxr-xr-x 2 root root  4096 Aug 20 01:39 .
drwxr-xr-x 1 root root  4096 Aug 20 01:19 ..
-rw-r--r-- 1 root root 48879 Aug 20 01:38 grab_go_reset_memo.docx
-rw-r--r-- 1 root root 73748 Aug 20 01:39 reset_decision_workbook.xlsx
spot check: 27721.0496666667 27280.3955
sheets: 9

[stdout]
{
  "status": "success",
  "total_errors": 0,
  "error_summary": {},
  "total_formulas": 2428
}
total 132
drwxr-xr-x 2 root root  4096 Aug 20 01:39 .
drwxr-xr-x 1 root root  4096 Aug 20 01:19 ..
-rw-r--r-- 1 root root 48879 Aug 20 01:38 grab_go_reset_memo.docx
-rw-r--r-- 1 root root 73748 Aug 20 01:39 reset_decision_workbook.xlsx
spot check: 27721.0496666667 27280.3955
sheets: 9
[metadata]
noOutputExpected: false
  86. 116Both deliverables are complete and verified: the workbook recalculates with zero formula errors, and the memo passes OOX…197k

    Both deliverables are complete and verified: the workbook recalculates with zero formula errors, and the memo passes OOXML validation.

    What I found

    The proposal has three defects that would have surfaced as store-level failures in week one:

    1. It doesn't fit. It exceeds available tray capacity in four of five clusters (0.5 slots over in each), and only "fits" Metro Core by giving sushi 3.0 slots in all 18 stores — space the signed Sakura route doesn't permit. Southwest Chicken Bowl, Cobb Salad and sushi each consume 1.5 slots per facing, which the proposal's facing counts obscure.

    2. It ignores signed route limits. Sakura signs a daily route and 50% waste credit for Metro route M-11 only, and states the Campus/Commuter samples were line-review tests. GreenFork excludes Highway and Rural from Caprese expansion. The proposal ranges sushi in three clusters and Caprese in Highway anyway.

    3. It removes the vegetarian answer it can't replace. Hummus is pulled from all five clusters but Caprese only added to three — and Caprese is route-blocked in the other two. As written, Highway opens with no vegetarian option and Rural with only Egg Salad, which the handoff explicitly bars.

    The recommendation

    Of 50 proposal lines: 35 accept, 9 change, 6 reject.

    • Sushi — 1 facing, Metro route M-11 only. Metro pilot reads 3.15 u/store/wk (genuinely good, $11.42/tray slot); Commuter reads 1.13 at 32.5% waste. Sakura's projections run 62–293% over actuals.
    • Hummus — reinstated in five placements. Worth +$1,251 and the largest positive change in the pack.
    • Caprese — accepted in Metro and Campus, rejected in Commuter (the one cluster where it sells less and wastes twice as much as the item it replaces).
    • Egg Salad and Turkey Cranberry — out of the case entirely. Both kept in the proposal on store advocacy; both run 22–24% waste.

    Result: every cluster fits, zero placements outside signed terms, shrink down $439 (−24%), net GP down $44

    … 915 more characters in the raw trajectory.

4 failure modes across 6 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 Communication1 failure

    Description

    Is the underlying decision correct or substantially present, but the memo fails to state a required rule hierarchy, source-governance principle, item-specific reason, signed-term basis, or operating condition?

    Failure evidence · per affected verifier

    • The memo protects Chicken Caesar Wrap and gives Protein Snack Box launch space but never states the full required rationale together: OOS pressure for Caesar, and pilot performance, low waste, code date, and scan credit for Protein Snack Box.

  4. 4Off-Scope Advice AddedView on Failure Modes ↗Presentation and Communication1 failure

    Description

    With the requested reconciliation or analysis otherwise present, does the final communication add unrequested clinical, treatment, monitoring, referral, release, or operational workflow directives?

    Failure evidence · per affected verifier

    • The workbook's execution-risk or exceptions section proposes new vendor contract or routing terms, such as a GreenFork routing addendum or extended credit days, beyond the reset decision itself.