EKWbench
Switch benchEKWbench
Request dataset samplesby

task_116Retail trade

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

TaxonomyRetail tradeGeneral and operations managers

All trialsGPT-5.6 SolcodexTrial 01

69%

Trial reward

GPT-5.6 SolFail

Trial 01 — 2nd of 4 by reward score. This model averages 69% across 4 trials on this task.

  • 11/15Core verifiers passed
  • 13/18All verifiers passed
  • 4Core failed
  • 68Turns
  • 55Tool calls
  • $5.05Cost
  • 27.9mTime
  • 68kOutput tokens

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

core (15)

  • sushi_routeLLMPass
    Why it matters

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

    How to pass

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

    Reads

  • capacityLLMPass
    Why it matters

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

    How to pass

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

    Reads

  • vegetarian_roleLLMPass
    Why it matters

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

    How to pass

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

    Reads

  • seasonalLLMPass
    Why it matters

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

    How to pass

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

    Reads

  • traffic_profitLLMFail
    Why it matters

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

    How to pass

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

    Reads

    Failure mode Required Rationale or Authority Statement Omitted

    Why it failed

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

    Justification

    The memo gives Protein Snack Box launch space in all clusters and adds/protects Caesar facings, but it does not explicitly justify Caesar as a core lunch traffic driver with out-of-stock pressure, and it does not cite Protein Snack Box’s long code date as part of the rationale. Because those pass criteria are not fully evidenced, the rubric is not satisfied.

  • 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 gives a cluster-level final plan, but it does not satisfy all required outcomes: Rural North is listed as 1 Caesar; 2 Turkey Club; 1 Southwest Bowl; 1 Hummus; 1 Protein at 6.5 / 7.0, not the required 6.0 slots with 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 has two material mismatches versus the rubric: Rural North lists Chicken Caesar Wrap (GGS-84QJ) at 1 facing instead of 2, and Southwest Chicken Bowl (GGS-9PQL) at 1 instead of 0 (shown in the Executive Summary, Final Assortment, and Capacity Check). This also triggers the explicit fail condition that Chicken Caesar cannot be below 2 in any cluster.

  • capacityLLMFail
    Why it matters

    A capacity-constrained reset must prove both that the original proposal was corrected and that the final plan fits live case capacity.

    How to pass

    Checks whether the workbook numerically reconciles proposal capacity conflicts and final capacity compliance.

    Reads

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

    Why it failed

    The workbook correctly shows live capacity and the buyer-proposal overages, but the final reconciled tray-slot totals per cluster do not match the required final values.

    Justification

    The workbook does include a numeric capacity reconciliation on the 'Capacity Check' sheet with live slots, proposal slots, final slots/headroom, and PASS status, and it separately shows the proposal overages for COM/CAM/HWY/RUR. However, Rural North is reconciled to 6.5 final tray slots (live 7, proposal 7.5, final 6.5, headroom 0.5), while the rubric requires a final Rural use of 6.0, so the rubric is not fully satisfied.

  • 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 accept unused space in Highway and Rural (e.g., 'retain 0.5 slot' and 'do not backfill'), and it names Highway / Travel at 7.5 / 8.0 with 0.5 open. However, it does not satisfy the required Rural numeric condition: it lists Rural North at 6.5 / 7.0 with 0.5 open, not 6.0 / 7.0 with 1.0 open. Since the rubric requires both specific open-slot values, it fails.

  • proposal_reconciliationLLMPass
    Why it matters

    The requested decision is not only a final assortment; it must show which proposed changes were accepted, changed, or rejected.

    How to pass

    Checks whether the workbook provides a substantive accept/change/reject reconciliation against the buyer proposal.

    Reads

  • scope_controlLLMPass
    Why it matters

    Extra assumptions or unrelated operational actions can make the recommendation unusable even when the core analysis appears complete.

    How to pass

    Checks workbook scope control and absence of materially unsolicited tabs, assumptions, or side actions.

    Reads

2 deliverables · what this trial produced

grab_go_reset_memo.docx18 KB

July Grab-and-Go Reset

First-four-week recommendation before Space Planning and field release

To

From

Decision window

L. Moreno, Senior Merchant – Prepared Foods

Category Planning

First four weeks of the July reset

Decision: release with changes

Do not release the vendor-line-review proposal as written. The revised set protects the proven lunch base, adds the strongest new item selectively, removes unsupported or shrink-heavy exceptions, and fits the live case without extra trays or partial facings.

What to release

Add Protein Snack Box in all five clusters: two facings in Metro, Commuter, and Campus; one in Highway and Rural.

Launch Caprese Ciabatta in Metro and Campus only. Keep Hummus in Commuter, Campus, Highway, and Rural; remove Hummus only in Metro.

Launch Spicy Tuna Sushi with one facing only in stores on the signed Metro M-11 route list. The model uses nine stores, matching the internal Metro pilot count; no sushi in other Metro stores or clusters.

Remove Egg Salad Croissant and Turkey Cranberry Sandwich from every cluster. Reject the Rural Egg Salad and Highway Turkey Cranberry exceptions.

Reallocate space to lunch leaders: a second Southwest Bowl facing in Metro, a second Caesar facing in Commuter, and a second Caesar facing in Highway.

Decision snapshot

Proposal risk

Finding

Revised result

Case capacity

COM, CAM, HWY, and RUR each exceed the live case by 0.5 tray slot.

All clusters pass; no partial facing

Unsigned route

Sushi support and daily service are signed only for Metro M-11.

M-11 only; one facing

Weak swap

Commuter Caprese pilot underperformed Hummus and carried more waste.

Keep Hummus; no Caprese

Seasonal/legacy

Rural Egg Salad and Highway Turkey Cranberry exceed 22% waste.

Remove both

Sources and method are summarized on page 4; detailed formulas and source records are in reset_decision_workbook.xlsx.

Revised cluster-level assortment

Facings are whole facings. Southwest Bowl, Cobb Salad, and Sushi each consume 1.5 tray slots per facing; other listed items consume 1.0.

Cluster

Final first-four-week set (facings)

Capacity

Metro Core

2 Caesar; 1 Turkey Club; 2 Southwest Bowl; 1 Cobb; 1 Caprese; 2 Protein; 1 Sushi in M-11 only

12.0 / 12.0 in M-11 10.5 / 12.0 elsewhere

Commuter Suburban

2 Caesar; 2 Turkey Club; 1 Southwest Bowl; 1 Hummus; 1 Cobb; 2 Protein

10.0 / 10.0

Campus / Hospital

2 Caesar; 1 Turkey Club; 1 Southwest Bowl; 1 Hummus; 1 Cobb; 1 Caprese; 2 Protein

10.0 / 10.0

Highway / Travel

2 Caesar; 2 Turkey Club; 1 Southwest Bowl; 1 Hummus; 1 Protein

7.5 / 8.0

Rural North

1 Caesar; 2 Turkey Club; 1 Southwest Bowl; 1 Hummus; 1 Protein

6.5 / 7.0

Capacity reconciliation

Cluster

Live

Proposal

Proposal over/(under)

Final max

Final headroom

Metro

12.0

12.0

–

12.0

–

Commuter

10.0

10.5

(0.5)

10.0

–

Campus

10.0

10.5

(0.5)

10.0

–

Highway

8.0

8.5

(0.5)

7.5

0.5

Rural

7.0

7.5

(0.5)

6.5

0.5

Metro final max is the M-11 planogram. Non-M-11 Metro stores do not receive Sushi and retain 1.5 unused tray slots. Highway and Rural retain 0.5 slot because the handoff prohibits partial facings; do not backfill with a low-repeat item.

Accept, change, reject

Disposition

Proposal elements

ACCEPT

Core placements not listed below; Caprese in Metro and Campus; Protein in Metro, Commuter, and Campus; no Sushi in Highway/Rural; planned removals of Egg Salad and Turkey Cranberry outside the proposed exceptions.

CHANGE

Metro Sushi from two clusterwide facings to one M-11-only facing; Protein from two to one facing in Highway/Rural; increase Metro Southwest Bowl and Commuter/Highway Caesar facings.

REJECT

Sushi in Commuter/Campus; Caprese in Commuter/Highway; chainwide Hummus removal; Rural Egg Salad keep; Highway Turkey Cranberry keep.

Economics and proposal proof

The model uses the eight internal weeks from April 6 through May 25. Candidate rates are scaled from internal pilot stores only where signed routing permits; supplier projections do not drive the forecast.

Highest-risk line-review claims

Item / cluster

Internal sales/store/week

Supplier projection

Internal waste rate

First-four-week decision

Sushi – Metro pilot

3.15

5.1

10.6%

One facing; M-11 only

Sushi – Commuter pilot

1.13

4.4

32.5%

Reject; no signed route

Sushi – Campus pilot

2.13

4.8

26.1%

Reject; no signed route

Caprese – Metro pilot

3.17

3.4

8.4%

Add

Caprese – Commuter pilot

1.83

3.2

16.4%

Reject; keep Hummus

Caprese – Campus pilot

3.30

3.6

6.4%

Add

Protein – five-cluster pilot range

1.84–5.60

2.3–5.4

2.6%–7.8%

Add; fewer facings in HWY/RUR

Commuter vegetarian decision

Option

Sales/store/week

Waste rate

4W sold

4W waste

4W net after signed support

Keep Hummus

2.18

8.7%

227.0

21.5

$762

Add Caprese

1.83

16.4%

190.1

37.4

$735

Even after applying the signed $0.40 Caprese scan allowance and 30% documented-waste credit, Hummus produces about $28 more four-week net contribution and about 16 fewer waste units in Commuter.

Final-set four-week observed-rate economics

Sold units

Waste units

Waste rate

Gross profit before shrink

Waste at cost

Signed support

Net contribution

6,968

459

6.2%

$27,775

$1,391

$658

$27,042

Signed support comprises approximately $574 of scan allowances and $84 of waste credits. Modeled Caprese scans are 373 versus the 5,500-unit cap; Protein scans are 1,214 versus the 8,000-unit cap. The caps are not ordering targets.

First-four-week execution controls

Owner / risk

Required action before release

Space Planning

Load the exact cluster facings on page 2. Use 12.0 live slots in Metro, 10.0 Commuter, 10.0 Campus, 8.0 Highway, and 7.0 Rural. Do not use the pending September tray project or partial facings.

Sakura / Metro M-11

Range Sushi only in stores on the signed M-11 route list. The economics model uses nine stores because the internal Metro pilot ranged nine; confirm the route list before release. Require daily delivery, one facing, one-day code, no holdover, and documented waste for the 50% credit through August 16.

GreenFork

Range Caprese only in Metro and Campus. Capture the $0.40 scan allowance only on receipts dated July 13–August 9. Apply the 30% documented-waste credit only where deliveries are at least four days per week.

Urban Spoon

Range Protein in all clusters at the approved facings. There is no shrink credit; use internal pilot sell-through to set orders and do not order toward the 8,000-unit allowance cap.

Highway / Rural

Keep one Hummus facing because each cluster needs a credible vegetarian lunch option and Caprese is route-ineligible. Hummus receives no GreenFork waste credit at three/two deliveries, so keep orders tight and do not fill unused space with Egg Salad or seasonal stock.

Field Operations

Remove Egg Salad and Turkey Cranberry from the July case. The EatWell letter authorizes no Turkey Cranberry returns or billbacks after January 31, 2026; do not carry it as a space filler.

Watch-outs during weeks 1–4

Protein is the strongest broad launch, but ending on hand rose in several pilots, by as much as 3.2 units per store. A second facing is display space, not permission to raise orders above observed sell-through.

Caprese is a two-day-code item. Campus performance supports keeping both Caprese and Hummus, but the two vegetarian facings require disciplined rotation and documented GreenFork waste.

Highway and Rural Hummus remain deliberate exceptions to the delivery-fit rule because the handoff requires a credible vegetarian lunch option and signed terms prohibit Caprese expansion. Do not expand facings.

No Sushi expansion is allowed during the first four weeks without a new signed routing addendum; Commuter and Campus pilot samples are not launch authorization.

Weekly review packet

Review internal sold units, documented waste, out-of-stock store-days, receipts, and ending on hand by cluster/SKU each week. Use those records—not supplier traffic estimates—to decide whether any post-week-four facing or route change should be proposed.

Release instruction

Send the revised assortment and capacity file to Space Planning. Hold the rejected route expansions and store exceptions out of field materials. Do not add capacity, deliveries, credits, or substitutes that are not in the attached records.

Source basis

Authoritative business rules: merchant_handoff_prepared_foods.docx (June 10, 2026). Demand signal: weekly_pos_inventory_waste.csv (April 6–May 25, 2026), item_master_unit_economics.csv, and store_cluster_capacity.csv. Proposal: buyer_reset_proposal.csv (June 12, 2026). Trade terms: signed_vendor_offer_letters.pdf (EatWell May 30; GreenFork June 5; Urban Spoon June 6; Sakura June 7). No external sources were used.

User prompt → 68 turns · 55 tool calls → final responsecodex

  1. 1systemskills instructions · Skills A skill is a set of instructions provided through a SKILL.md source. Below is the list of s…

    skills instructions

    Skills

    A skill is a set of instructions provided through a SKILL.md source. Below is the list of skills that can be used. Each entry includes a name, description, and source locator. file locators are on the host filesystem, executor package locators are owned by their execution environment, orchestrator package locators are opaque package identifiers, and custom resource locators use their provider's access mechanism.

    Available skills

    • imagegen: Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG/vector/code-native assets, extending an established icon or logo system, or building the visual directly in HTML/CSS/canvas. (file: /tmp/codex-home/skills/.system/imagegen/SKILL.md)
    • openai-docs: Use for Codex models/pricing, scheduled tasks, skills, settings, setup, troubleshooting, customization, automations, and self-knowledge—including 'you,' 'your,' 'this app,' or 'this coding agent' when they refer to Codex—and for OpenAI APIs/products and ChatGPT Work. Also use for model choice/migration, prompting, SDKs, Responses, Realtime, agents, evals, and Chat/Work/Codex comparisons. Do not use for generic app/software tasks that merely mention Codex. (file: /tmp/codex-home/skills/.system/openai-docs/SKILL.md)
    • plugin-creator: Create and scaffold plugin directories for Codex with a required .codex-plugin/plugin.json, optional plugin folders/files, valid manifest defaults, and personal-marketplace entries by default. Use when Codex needs to create a new personal plugin, add optional plugin structure, generate or update marketplace entries for plugi

    … 3,403 more characters in the raw trajectory.

  2. 2systemYou are /root, the primary agent in a team of agents collaborating to fulfill the user's goals. At the start of your tur…

    You are /root, the primary agent in a team of agents collaborating to fulfill the user's goals.

    At the start of your turn, you are the active agent.
    You can spawn sub-agents to handle subtasks, and those sub-agents can spawn their own sub-agents.
    All agents in the team, including the agents that you can assign tasks to, are equally intelligent and capable, and have access to the same set of tools.

    You can use spawn_agent to create a new agent, followup_task to give an existing agent a new task and trigger a turn, and send_message to pass a message to a running agent without triggering a turn.
    Child agents can also spawn their own sub-agents.
    You can decide how much context you want to propagate to your sub-agents with the fork_turns parameter.

    You will receive messages in the analysis channel in the form:

    Message Type: MESSAGE | FINAL_ANSWER
Task name: <recipient>
Sender: <author>
Payload:
<payload text>

    They may be addressed as to=/root

    Note that collaboration tools cannot be called from inside functions.exec. Call spawn_agent, send_message, followup_task, wait_agent, interrupt_agent, and list_agents only as direct tool calls using the recipient shown in their tool definitions, such as to=functions.collaboration.spawn_agent, since they are intentionally absent from the functions.exec tools.* namespace. Available tools in functions.exec are explicitly described with a tools namespace in the developer message.

    All agents share the same directory. In detail:

    • All agents have access to the same container and filesystem as you.
    • All agents use the same current working directory.
    • As a result, edits made by one agent are immediately visible to all other agents.

    When calling wait_agent, prefer longer waits (minutes) to avoid busy polling.

    There are 4 available concurrency slots, meaning that up to 4 agents can be active at once, including you.

    Full-history forks (fork_turns omitted or "all") inherit the parent mod

    … 264 more characters in the raw trajectory.

  3. 3systemmulti agent mode · Any earlier instruction enabling proactive multi-agent delegation no longer applies. Do not spawn sub…

    multi agent mode

    Any earlier instruction enabling proactive multi-agent delegation no longer applies. Do not spawn sub-agents unless the user or applicable AGENTS.md/skill instructions explicitly ask for sub-agents, delegation, or parallel agent work.

  4. 4userenvironment context · /workspace bash 2026-08-20 Etc/UTC /workspace

    environment context

    cwd
    /workspace
    shell
    bash
    current date
    2026-08-20
    timezone
    Etc/UTC
    root
    /workspace
  5. 5userYou 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.

  6. 6I’ll use the spreadsheet and Word-document skills to audit the source files, reconcile economics and case capacity, then…

    I’ll use the spreadsheet and Word-document skills to audit the source files, reconcile economics and case capacity, then produce the merchant memo and supporting workbook in /workspace/output/. I’ll treat the handoff and signed terms as controlling where sources conflict.

  7. 7exec1

    Tool execution only — no assistant text

    execconst p = await tools.update_plan({plan:[ {step:"Read the document and spreadsheet skill instructions",status:"in_progress"}, {step:"Inventory and inspect all attached source materials",status:"pending"}, {step:"Reconcile demand, economics, vendor terms, routing, and capacity",status:"pending"}, {step:"Build and validate the decision workbook",status:"pending"}, {step:"Draft and validate the merchant-facing memo",status:"pending"} ]}); text(p)

    Arguments

    const p = await tools.update_plan({plan:[
  {step:"Read the document and spreadsheet skill instructions",status:"in_progress"},
  {step:"Inventory and inspect all attached source materials",status:"pending"},
  {step:"Reconcile demand, economics, vendor terms, routing, and capacity",status:"pending"},
  {step:"Build and validate the decision workbook",status:"pending"},
  {step:"Draft and validate the merchant-facing memo",status:"pending"}
]}); text(p)

    Output

    Script completed
Wall time 0.0 seconds
Output:

{}
  8. 8Shell1

    Tool execution only — no assistant text

    Shellvia exec33k chars

    Arguments

    const results = await Promise.all([
  tools.exec_command({cmd:"cat /root/.agents/skills/xlsx/SKILL.md","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":20000}),
  tools.exec_command({cmd:"cat /root/.agents/skills/docx/SKILL.md","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":20000})
]);
for (const r of results) text(r.output);

    Output

    Script completed
Wall time 0.1 seconds
Output:

---
name: xlsx
description: "Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python

    … 31,680 more characters of output in the raw trajectory.

  9. 9Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"find /workspace -maxdepth 3 -type f -printf '%p\\n' | sort","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":20000}); text(r.output);

    Output

    Script completed
Wall time 0.1 seconds
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
  10. 10The attachments also include signed vendor terms in PDF, so I’m adding the PDF skill to extract and verify those authori…

    The attachments also include signed vendor terms in PDF, so I’m adding the PDF skill to extract and verify those authoritative offer details before making any assortment decisions.

  11. 11Shell1

    Tool execution only — no assistant text

    Shellvia exec8k chars

    Arguments

    const r = await tools.exec_command({cmd:"cat /root/.agents/skills/pdf/SKILL.md","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":30000}); text(r.output);

    Output

    Script completed
Wall time 0.1 seconds
Output:

---
name: pdf
description: Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.
license: Proprietary. LICENSE.txt has complete terms
---

# PDF Processing Guide

## Overview

This guide covers essential PDF processing operations using Python libraries and command-line tools. For advanced features, JavaScript libraries, and detailed examples, see REFERENCE.md. If you need to fill out a PDF form, read FORMS.md and follow its instructions.

## Quick Start

```python
from pypdf im

    … 7,489 more characters of output in the raw trajectory.

  12. 12exec1

    Tool execution only — no assistant text

    execconst p = await tools.update_plan({plan:[ {step:"Read the document, spreadsheet, and PDF skill instructions",status:"completed"}, {step:"Inventory and inspect all attached source materials",status:"in_progress"}, {step:"Reconcile demand, economics, vendor terms, routing, and capacity",status:"pending"}, {step:"Build and validate the decision workbook",status:"pending"}, {step:"Draft and validate the merchant-facing memo",status:"pending"} ]}); text(p)

    Arguments

    const p = await tools.update_plan({plan:[
  {step:"Read the document, spreadsheet, and PDF skill instructions",status:"completed"},
  {step:"Inventory and inspect all attached source materials",status:"in_progress"},
  {step:"Reconcile demand, economics, vendor terms, routing, and capacity",status:"pending"},
  {step:"Build and validate the decision workbook",status:"pending"},
  {step:"Draft and validate the merchant-facing memo",status:"pending"}
]}); text(p)

    Output

    Script completed
Wall time 0.0 seconds
Output:

{}
  13. 13Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"ls -lh /workspace/data && file /workspace/data/* && wc -l /workspace/data/*.csv && pdfinfo /workspace/data/signed_vendor_offer_letters.pdf | sed -n '1,20p'","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":20000}); text(r.output);

    Output

    Script completed
Wall time 0.1 seconds
Output:

total 84K
-rw-r--r-- 1 root root 5.5K Aug 19 23:31 buyer_reset_proposal.csv
-rw-r--r-- 1 root root 1.3K Aug 19 23:31 item_master_unit_economics.csv
-rw-r--r-- 1 root root  38K Aug 19 23:31 merchant_handoff_prepared_foods.docx
-rw-r--r-- 1 root root 4.7K 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  33K Aug 19 23:31 weekly_pos_inventory_waste.csv
/bin/bash: line 1: file: command not found
  14. 14Shell1

    Tool execution only — no assistant text

    Shellvia exec14k chars

    Arguments

    const rs = await Promise.all([
  tools.exec_command({cmd:"pandoc --track-changes=all /workspace/data/merchant_handoff_prepared_foods.docx -t plain","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":30000}),
  tools.exec_command({cmd:"pdftotext -layout /workspace/data/signed_vendor_offer_letters.pdf -","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":30000}),
  tools.exec_command({cmd:"for f in /workspace/data/*.csv; do wc -l \"$f\"; done","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":5000}),
  too

    … 426 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 2.1 seconds
Output:

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

        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 u

    … 13,303 more characters of output in the raw trajectory.

  15. 15I’ve confirmed the signed offer text is machine-readable. The handoff extractor named in the skill isn’t installed here,…

    I’ve confirmed the signed offer text is machine-readable. The handoff extractor named in the skill isn’t installed here, so I’m using the Word package’s underlying XML and table structure to capture the complete document, including headers and tables.

  16. 16Shell1

    Tool execution only — no assistant text

    Shellvia exec5k chars

    Arguments

    const rs = await Promise.all([
  tools.exec_command({cmd:"python - <<'PY'\nfrom docx import Document\nfrom docx.document import Document as _Document\nfrom docx.table import Table\nfrom docx.text.paragraph import Paragraph\nfrom docx.oxml.ns import qn\np='/workspace/data/merchant_handoff_prepared_foods.docx'\nd=Document(p)\ndef blocks(parent):\n body=parent.element.body\n for ch in body.iterchildren():\n  if ch.tag==qn('w:p'): yield Paragraph(ch,parent)\n  elif ch.tag==qn('w:tbl'): yield Table(ch,parent)\nprint('CORE PROPERTIES', d.core_properties.title, d.core_propert

    … 1,221 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 0.5 seconds
Output:

CORE PROPERTIES  python-docx 2013-12-23 23:15:00+00:00
P1 [Normal]: Prepared Foods Reset Handoff
P2 [Normal]: Blue Mesa Market - Q3 2026 refrigerated grab-and-go case
P3 [Normal]: From: L. Moreno, Senior Merchant - Prepared Foods
P4 [Normal]: To: Category Planning / Space Planning
P5 [Normal]: Date: June 10, 2026
P6 [Normal]: 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.
P7 [Heading 1]: Decision rules for this reset
P8 [List Bullet]: Fit the first four weeks of the July reset into th

    … 3,556 more characters of output in the raw trajectory.

  17. 17Shell1

    Tool execution only — no assistant text

    Shellvia exec20k chars

    Arguments

    const r = await tools.exec_command({cmd:"python - <<'PY'\nimport pandas as pd\nbase='/workspace/data/'\np=pd.read_csv(base+'buyer_reset_proposal.csv')\nw=pd.read_csv(base+'weekly_pos_inventory_waste.csv')\nprint('PROPOSAL BY CLUSTER')\nfor (cc,cn),g in p.groupby(['cluster_code','cluster_name'],sort=False):\n print(f'\\n{cc} {cn}')\n print(g[['sku','item','proposed_action','proposed_facings','supplier_projection_units_per_store_week','buyer_comment']].to_string(index=False))\nprint('\\nWEEKLY RANGE SUMMARY')\ns=(w.groupby(['cluster_code','cluster_name','sku','item','ran

    … 578 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 1.3 seconds
Output:

PROPOSAL BY CLUSTER

MET Metro Core
     sku                      item proposed_action  proposed_facings  supplier_projection_units_per_store_week                                                                                   buyer_comment
GGS-84QJ       Chicken Caesar Wrap            Keep                 2                                       NaN                                                                                             NaN
GGS-2VWK      Turkey Club Sandwich            Keep                 1                                       NaN                                                                                             NaN
GGS-9PQL    Southwest Chicken Bowl            Keep                 1                                       NaN                                                                                             NaN
GGS-5MTC

    … 19,004 more characters of output in the raw trajectory.

  18. 18Shell1

    Tool execution only — no assistant text

    Shellvia exec11k chars

    Arguments

    const r = await tools.exec_command({cmd:"python - <<'PY'\nimport pandas as pd\nw=pd.read_csv('/workspace/data/weekly_pos_inventory_waste.csv')\nfor sku in ['GGS-3RZA','GGS-6BGH','GGS-8XUY']:\n print('\\n',sku)\n print(w[w.sku.eq(sku)][['week_start','cluster_code','stores_ranged','net_sales_units','waste_units','oos_store_days','receipts_units','ending_on_hand_units']].to_string(index=False))\nPY","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":20000}); text(r.output);

    Output

    Script completed
Wall time 1.3 seconds
Output:


 GGS-3RZA
week_start cluster_code  stores_ranged  net_sales_units  waste_units  oos_store_days  receipts_units  ending_on_hand_units
2026-04-06          MET              9               25            2             0.6              25                    12
2026-04-13          MET              9               30            3             0.1              37                    16
2026-04-20          MET              9               29            2             0.3              28                    13
2026-04-27          MET              9               29            2             0.6              33                    15
2026-05-04          MET              9               27            3             0.8              31                    16
2026-05-11          MET              9               30            3             0.5              30                    13

    … 10,445 more characters of output in the raw trajectory.

  19. 19Shell1

    Tool execution only — no assistant text

    Shellvia exec8k chars

    Arguments

    const r = await tools.exec_command({cmd:"python - <<'PY'\nimport pandas as pd, numpy as np\nb='/workspace/data/'\nw=pd.read_csv(b+'weekly_pos_inventory_waste.csv',parse_dates=['week_start'])\ni=pd.read_csv(b+'item_master_unit_economics.csv')\nc=pd.read_csv(b+'store_cluster_capacity.csv')\ng=w.sort_values('week_start').groupby(['cluster_code','sku'],sort=False)\ns=g.agg(item=('item','first'),range_type=('range_type','first'),weeks=('week_start','nunique'),stores=('stores_ranged','max'),sales=('net_sales_units','sum'),waste=('waste_units','sum'),oos=('oos_store_days','sum'),rec

    … 1,163 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 1.3 seconds
Output:


 MET
cluster_code      sku                      item       range_type  stores sales_psw waste_psw waste_rate oos_psw last_eoh_ps eoh_delta_ps unit_margin contrib_psw
         MET GGS-84QJ       Chicken Caesar Wrap      Current set      18      5.50      0.28       4.9%    0.25        2.22        +0.78       $3.61      $19.18
         MET GGS-2VWK      Turkey Club Sandwich      Current set      18      3.09      0.12       3.9%    0.05        0.94        -0.56       $3.85      $11.57
         MET GGS-3RZA          Caprese Ciabatta Controlled pilot       9      3.17      0.29       8.4%    0.05        2.33        +1.00       $3.89      $11.41
         MET GGS-1KFV       Egg Salad Croissant      Current set      18      1.29      0.34      20.9%    0.06        1.56        +0.17       $3.21       $3.37
         MET GGS-5MTC        Hummus Veggie Wrap      Current se

    … 7,424 more characters of output in the raw trajectory.

  20. 20The source hierarchy now points to three concrete proposal risks: unsigned sushi expansion, a Caprese swap that is weak…

    The source hierarchy now points to three concrete proposal risks: unsigned sushi expansion, a Caprese swap that is weak in Commuter and ineligible in Highway/Rural, and several planograms that exceed live tray capacity. I’m validating the signed pages visually before locking the recommendation.

  21. 21Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"pdftoppm -png -r 120 /workspace/data/signed_vendor_offer_letters.pdf /tmp/vendor_terms","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":5000}); text(r.output);

    Output

    Script completed
Wall time 0.5 seconds
Output:
  22. 22exec1

    Tool execution only — no assistant text

    execconst rs = await Promise.all([ tools.view_image({path:"/tmp/vendor_terms-1.png",detail:"original"}), tools.view_image({path:"/tmp/vendor_terms-2.png",detail:"original"}) ]); for (const r of rs) image(r.image_url);296k chars

    Arguments

    const rs = await Promise.all([
  tools.view_image({path:"/tmp/vendor_terms-1.png",detail:"original"}),
  tools.view_image({path:"/tmp/vendor_terms-2.png",detail:"original"})
]);
for (const r of rs) image(r.image_url);

    Output

    Script completed
Wall time 0.0 seconds
Output:

    … 294,750 more characters of output in the raw trajectory.

  23. 23Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"python - <<'PY'\nimport pandas as pd\nb='/workspace/data/'\np=pd.read_csv(b+'buyer_reset_proposal.csv')\ni=pd.read_csv(b+'item_master_unit_economics.csv')[['sku','tray_slots_per_facing']]\nc=pd.read_csv(b+'store_cluster_capacity.csv')[['cluster_code','tray_slots_available']]\nx=p.merge(i,on='sku').assign(proposed_slots=lambda d:d.proposed_facings*d.tray_slots_per_facing)\nx=x.groupby('cluster_code',as_index=False).proposed_slots.sum().merge(c,on='cluster_code')\nx['over_under']=x.tray_slots_available-x.proposed_slots\nprint(x.to_stri

    … 124 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 1.5 seconds
Output:

cluster_code  proposed_slots  tray_slots_available  over_under
         CAM            10.5                  10.0        -0.5
         COM            10.5                  10.0        -0.5
         HWY             8.5                   8.0        -0.5
         MET            12.0                  12.0         0.0
         RUR             7.5                   7.0        -0.5
  24. 24Shell1

    Tool execution only — no assistant text

    Shellvia exec5k chars

    Arguments

    const r = await tools.exec_command({cmd:"python - <<'PY'\nimport pandas as pd\nb='/workspace/data/'\nw=pd.read_csv(b+'weekly_pos_inventory_waste.csv')\ni=pd.read_csv(b+'item_master_unit_economics.csv')\nc=pd.read_csv(b+'store_cluster_capacity.csv')\nfinal={\n'MET':{'GGS-84QJ':2,'GGS-2VWK':1,'GGS-9PQL':2,'GGS-5MTC':0,'GGS-7DNL':1,'GGS-1KFV':0,'GGS-4HBP':0,'GGS-3RZA':1,'GGS-6BGH':2,'GGS-8XUY':1},\n'COM':{'GGS-84QJ':2,'GGS-2VWK':2,'GGS-9PQL':1,'GGS-5MTC':1,'GGS-7DNL':1,'GGS-1KFV':0,'GGS-4HBP':0,'GGS-3RZA':0,'GGS-6BGH':2,'GGS-8XUY':0},\n'CAM':{'GGS-84QJ':2,'GGS-2VWK':1,'GGS-9PQ

    … 2,330 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 1.4 seconds
Output:

BY CLUSTER
           sales   waste       gp  waste_cost    scan  shrink_credit      net
cluster                                                                      
CAM      1288.60   73.70  5089.97      222.61  144.32          17.87  5029.56
COM      2221.50  132.12  8856.66      403.43  141.05          17.74  8612.02
HWY       958.00   71.00  3679.82      201.80   57.22           0.00  3535.24
MET      1800.50  112.50  7479.20      363.67  195.50          48.56  7359.58
RUR       699.25   69.25  2669.37      199.53   36.14           0.00  2505.98

OVERALL
sales             6967.85
waste              458.58
gp               27775.02
waste_cost        1391.04
scan               574.23
shrink_credit       84.16
net              27042.38
dtype: float64

BY ITEM
                                   sales  waste       gp  waste_cost    scan  shrink_cred

    … 4,013 more characters of output in the raw trajectory.

  25. 25Shell1

    Tool execution only — no assistant text

    Shellvia exec1k chars

    Arguments

    const rs = await Promise.all([
  tools.exec_command({cmd:"node -e \"console.log(require.resolve('docx'))\"","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":5000}),
  tools.exec_command({cmd:"python - <<'PY'\nimport openpyxl\nprint(openpyxl.__version__)\nPY","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":5000}),
  tools.exec_command({cmd:"find /root/.agents/skills -path '*/scripts/recalc.py' -o -path '*/scripts/office/validate.py' -o -path '*/scripts/office/soffice.py' | sort","workdir":"/workspace","yield_time_ms

    … 83 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 1.5 seconds
Output:

node:internal/modules/cjs/loader:1433
  throw err;
  ^

Error: Cannot find module 'docx'
Require stack:
- /workspace/[eval]
    at Function._resolveFilename (node:internal/modules/cjs/loader:1430:15)
    at Function.resolve (node:internal/modules/helpers:157:19)
    at [eval]:1:21
    at runScriptInThisContext (node:internal/vm:209:10)
    at node:internal/process/execution:446:12
    at [eval]-wrapper:6:24
    at runScriptInContext (node:internal/process/execution:444:60)
    at evalFunction (node:internal/process/execution:279:30)
    at evalTypeScript (node:internal/process/execution:291:3)
    at node:internal/main/eval_string:74:3 {
  code: 'MODULE_NOT_FOUND',
  requireStack: [ '/workspace/[eval]' ]
}

Node.js v22.23.2

3.1.5

/root/.agents/skills/docx/scripts/office/soffi

    … 216 more characters of output in the raw trajectory.

  26. 26The recommendations are now reconciled at the item/cluster level. I’m moving into production: the workbook will keep raw…

    The recommendations are now reconciled at the item/cluster level. I’m moving into production: the workbook will keep raw source tabs and formula-driven calculations, and the memo will use the same final decision table so the two deliverables stay auditable.

  27. 27Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"npm install -g docx","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":10000}); text(r.output);

    Output

    Script completed
Wall time 2.2 seconds
Output:


added 22 packages in 2s

1 package is looking for funding
  run `npm fund` for details
  28. 28exec1

    Tool execution only — no assistant text

    execconst p = await tools.update_plan({explanation:"Source review is complete. The final design keeps Caprese only in Metro and Campus, limits sushi to one facing on Metro route M-11, retains Hummus where needed, scales Protein facings to observed demand, removes the seasonal/legacy exceptions, and fits every live case.",plan:[ {step:"Read the document, spreadsheet, and PDF skill instructions",status:"completed"}, {step:"Inventory and inspect all attached source materials",status:"completed"}, {step:"Reconcile demand, economics, vendor terms, routing, and capacity",s

    Arguments

    const p = await tools.update_plan({explanation:"Source review is complete. The final design keeps Caprese only in Metro and Campus, limits sushi to one facing on Metro route M-11, retains Hummus where needed, scales Protein facings to observed demand, removes the seasonal/legacy exceptions, and fits every live case.",plan:[
  {step:"Read the document, spreadsheet, and PDF skill instructions",status:"completed"},
  {step:"Inventory and inspect all attached source materials",status:"completed"},
  {step:"Reconcile demand, economics, vendor terms, routing, and capacity",s

    … 195 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 0.0 seconds
Output:

{}
  29. 29exec1

    Tool execution only — no assistant text

    execconst patch = "*** Begin Patch\n*** Add File: /workspace/scripts/build_reset_workbook.py\n+from pathlib import Path\n+from datetime import datetime\n+import math\n+import pandas as pd\n+from openpyxl import Workbook\n+from openpyxl.comments import Comment\n+from openpyxl.styles import Alignment, Border, Font, PatternFill, Side\n+from openpyxl.worksheet.table import Table, TableStyleInfo\n+from openpyxl.utils import get_column_letter\n+\n+BASE = Path(\"/workspace/data\")\n+OUT = Path(\"/workspace/output/reset_decision_workbook.xlsx\")\n+\n+NAVY = \"17365D\"

    Arguments

    const patch = "*** Begin Patch\n*** Add File: /workspace/scripts/build_reset_workbook.py\n+from pathlib import Path\n+from datetime import datetime\n+import math\n+import pandas as pd\n+from openpyxl import Workbook\n+from openpyxl.comments import Comment\n+from openpyxl.styles import Alignment, Border, Font, PatternFill, Side\n+from openpyxl.worksheet.table import Table, TableStyleInfo\n+from openpyxl.utils import get_column_letter\n+\n+BASE = Path(\"/workspace/data\")\n+OUT = Path(\"/workspace/output/reset_decision_workbook.xlsx\")\n+\n+NAVY = \"17365D\"

    … 56,273 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 0.0 seconds
Output:

{}
  30. 30Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"ls -l /workspace/scripts/build_reset_workbook.py && python -m py_compile /workspace/scripts/build_reset_workbook.py","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":10000}); text(r.output);

    Output

    Script completed
Wall time 0.2 seconds
Output:

-rw-r--r-- 1 root root 48711 Aug 20 01:19 /workspace/scripts/build_reset_workbook.py
  31. 31Shell1

    Tool execution only — no assistant text

    Shellvia exec1k chars

    Arguments

    const r = await tools.exec_command({cmd:"python /workspace/scripts/build_reset_workbook.py","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":20000}); text(r.output);

    Output

    Script completed
Wall time 2.5 seconds
Output:

Traceback (most recent call last):
  File "/workspace/scripts/build_reset_workbook.py", line 539, in <module>
    ws.cell(r, c, clean(v))
  File "/usr/local/lib/python3.11/site-packages/openpyxl/worksheet/worksheet.py", line 246, in cell
    cell.value = value
    ^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/openpyxl/cell/cell.py", line 218, in value
    self._bind_value(value)
  File "/usr/local/lib/python3.11/site-packages/openpyxl/cell/cell.py", line 187, in _bind_value
    raise ValueError("Cannot convert {0!r} to Excel".format(value))
ValueError: Cannot convert <bound method IndexOpsMixin.item of proposal_date                                        2026-06-12
cluster_code                                                MET
cluster_name                                         Metro Core
sku

    … 374 more characters of output in the raw trajectory.

  32. 32Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"rg -n 'p\\.item' /workspace/scripts/build_reset_workbook.py","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":5000}); text(r.output);

    Output

    Script completed
Wall time 0.1 seconds
Output:

537:    vals = [cc, p.cluster_name, sku, p.item, p.proposed_action, p.proposed_facings, outcome, action, fac, scope]
651:    ws.cell(r, 4, p.item)
737:    ws.cell(r, 3, p.item)
775:    vals = [p.cluster_code, p.cluster_name, p.sku, p.item]
  33. 33exec1

    Tool execution only — no assistant text

    execconst patch = "*** Begin Patch\n*** Update File: /workspace/scripts/build_reset_workbook.py\n@@\n- vals = [cc, p.cluster_name, sku, p.item, p.proposed_action, p.proposed_facings, outcome, action, fac, scope]\n+ vals = [cc, p.cluster_name, sku, p[\"item\"], p.proposed_action, p.proposed_facings, outcome, action, fac, scope]\n@@\n- ws.cell(r, 4, p.item)\n+ ws.cell(r, 4, p[\"item\"])\n@@\n- ws.cell(r, 3, p.item)\n+ ws.cell(r, 3, p[\"item\"])\n@@\n- vals = [p.cluster_code, p.cluster_name, p.sku, p.item]\n+ vals = [p.cluster_code, p.cluste

    Arguments

    const patch = "*** Begin Patch\n*** Update File: /workspace/scripts/build_reset_workbook.py\n@@\n-    vals = [cc, p.cluster_name, sku, p.item, p.proposed_action, p.proposed_facings, outcome, action, fac, scope]\n+    vals = [cc, p.cluster_name, sku, p[\"item\"], p.proposed_action, p.proposed_facings, outcome, action, fac, scope]\n@@\n-    ws.cell(r, 4, p.item)\n+    ws.cell(r, 4, p[\"item\"])\n@@\n-    ws.cell(r, 3, p.item)\n+    ws.cell(r, 3, p[\"item\"])\n@@\n-    vals = [p.cluster_code, p.cluster_name, p.sku, p.item]\n+    vals = [p.cluster_code, p.cluste

    … 93 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 0.1 seconds
Output:

{}
  34. 34Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"python /workspace/scripts/build_reset_workbook.py","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":20000}); text(r.output);

    Output

    Script completed
Wall time 3.0 seconds
Output:

/workspace/output/reset_decision_workbook.xlsx
  35. 35Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"python /root/.agents/skills/xlsx/scripts/recalc.py /workspace/output/reset_decision_workbook.xlsx 60","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":20000}); text(r.output);

    Output

    Script completed
Wall time 3.9 seconds
Output:

status: success
total_errors: 0
error_summary: {}
total_formulas: 3730
  36. 36Shell1

    Tool execution only — no assistant text

    Shellvia exec5k chars

    Arguments

    const r = await tools.exec_command({cmd:"python - <<'PY'\nfrom openpyxl import load_workbook\np='/workspace/output/reset_decision_workbook.xlsx'\nwbf=load_workbook(p,data_only=False,read_only=True)\nwbv=load_workbook(p,data_only=True,read_only=True)\nprint('sheets',wbv.sheetnames)\nfor sh,cells in {\n 'Executive Summary':['A5','C11','D11','E11','F11','G11','A19','D19','G19','A22','D22','G22'],\n '4W Economics':['B6','B7','B8','B9','B10','B11','C11','D11','E11','H11','I11','J11','M6','N6','O6','P6','Q6','R6'],\n 'Capacity Check':['C6','D6','F6','G6','H6','I6','C7','D7','F7',

    … 391 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 1.0 seconds
Output:

sheets ['Executive Summary', 'Final Assortment', 'Capacity Check', 'Model Inputs', '4W Economics', 'Proposal Recon', 'Terms', 'Source Proposal', 'Item Economics', 'Source POS', 'Source Items', 'Source Capacity']

 Executive Summary
A5 value= Release the reset with targeted changes: add Protein Snack Box chainwide with fewer facings in Highway and Rural; launch Caprese only in Metro and Campus; keep Hummus in Commuter, Campus, Highway, and Rural; limit sushi to one facing in Metro route M-11 stores; remove Egg Salad and Turkey Cranberry; and reallocate freed space to proven lunch leaders. formula= Release the reset with targeted changes: add Protein Snack Box chainwide with fewer facings in Highway and Rural; launch Caprese only in Metro and Campus; keep Hummus in Commuter, Campus, Highway, and Rural; limit sushi to one facing in Metro route M

    … 4,421 more characters of output in the raw trajectory.

  37. 37exec1

    Tool execution only — no assistant text

    execconst patch = "*** Begin Patch\n*** Update File: /workspace/scripts/build_reset_workbook.py\n@@\n- (\"Projected sold units\", \"='4W Economics'!B8\", \"units\"),\n- (\"Projected waste units\", \"='4W Economics'!C8\", \"units\"),\n- (\"Gross profit before shrink\", \"='4W Economics'!D8\", \"$\"),\n- (\"Waste at cost\", \"='4W Economics'!E8\", \"$\"),\n- (\"Signed vendor support\", \"='4W Economics'!H8\", \"$\"),\n- (\"Net contribution after waste/support\", \"='4W Economics'!I8\", \"$\")

    Arguments

    const patch = "*** Begin Patch\n*** Update File: /workspace/scripts/build_reset_workbook.py\n@@\n-    (\"Projected sold units\", \"='4W Economics'!B8\", \"units\"),\n-    (\"Projected waste units\", \"='4W Economics'!C8\", \"units\"),\n-    (\"Gross profit before shrink\", \"='4W Economics'!D8\", \"$\"),\n-    (\"Waste at cost\", \"='4W Economics'!E8\", \"$\"),\n-    (\"Signed vendor support\", \"='4W Economics'!H8\", \"$\"),\n-    (\"Net contribution after waste/support\", \"='4W Economics'!I8\", \"$\")

    … 1,479 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 0.0 seconds
Output:

{}
  38. 38Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"python /workspace/scripts/build_reset_workbook.py","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":10000}); text(r.output);

    Output

    Script completed
Wall time 2.6 seconds
Output:

/workspace/output/reset_decision_workbook.xlsx
  39. 39Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"python /root/.agents/skills/xlsx/scripts/recalc.py /workspace/output/reset_decision_workbook.xlsx 60","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":20000}); text(r.output);

    Output

    Script completed
Wall time 2.6 seconds
Output:

status: success
total_errors: 0
error_summary: {}
total_formulas: 3730
  40. 40Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"python - <<'PY'\nfrom openpyxl import load_workbook\np='/workspace/output/reset_decision_workbook.xlsx'\nwb=load_workbook(p,data_only=True,read_only=True)\nprint('Executive economics', [wb['Executive Summary'][c].value for c in ['A19','D19','G19','A22','D22','G22']])\nprint('Route sample', [wb['Item Economics'][c].value for c in ['AD5','AE5','AD12','AD14','AD15','AD16']])\nprint('Final route sample', [wb['Final Assortment'][c].value for c in ['U5','U12','U14','U15','U16']])\nPY","workdir":"/workspace","yield_time_ms":10000,"max

    … 45 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 0.9 seconds
Output:

Executive economics [6967.85, 458.575, 27775.0205, 1391.0395, 658.3945, 27042.3755]
Route sample ['Eligible—existing route covers all clusters', '$0.00 scan; 0% waste credit', 'Eligible on signed/current route', 'Eligible only in Metro route M-11', 'Eligible—existing route covers all clusters', 'Eligible—existing route covers all clusters']
Final route sample ['Eligible—existing route covers all clusters', 'Eligible on signed/current route', 'Eligible only in Metro route M-11', 'Eligible—existing route covers all clusters', 'Eligible—existing route covers all clusters']
  41. 41Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"python - <<'PY'\nimport pandas as pd\np=pd.read_csv('/workspace/data/buyer_reset_proposal.csv')\nf=pd.read_excel('/workspace/output/reset_decision_workbook.xlsx',sheet_name='Final Assortment',header=3)\nfor _,r in f.iterrows():\n prop=(r['Proposal action'] in ['Keep','Add'])\n fin=(r['Final action'] in ['KEEP','ADD'])\n expected='REJECT PROPOSAL' if prop!=fin else ('CHANGE' if r['Proposal facings']!=r['Final facings'] or 'M-11' in str(r['Scope']) else 'ACCEPT AS WRITTEN')\n if r['Review outcome']!=expected:\n  print('mismatch',r['Clu

    … 234 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 1.7 seconds
Output:
  42. 42The workbook now recalculates with 3,730 formulas and zero formula errors. Its final capacity is 12/12 in Metro M-11, 10…

    The workbook now recalculates with 3,730 formulas and zero formula errors. Its final capacity is 12/12 in Metro M-11, 10/10 Commuter, 10/10 Campus, 7.5/8 Highway, and 6.5/7 Rural; I’m doing a rendered layout check before drafting the memo.

  43. 43Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"python /root/.agents/skills/xlsx/scripts/office/soffice.py --headless --convert-to pdf --outdir /tmp /workspace/output/reset_decision_workbook.xlsx","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":10000}); text(r.output);

    Output

    Script completed
Wall time 1.9 seconds
Output:

Warning: failed to launch javaldx - java may not function correctly
convert /workspace/output/reset_decision_workbook.xlsx as a Calc document -> /tmp/reset_decision_workbook.pdf using filter : calc_pdf_Export
  44. 44Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"pdfinfo /tmp/reset_decision_workbook.pdf | sed -n '1,16p'","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":5000}); text(r.output);

    Output

    Script completed
Wall time 0.1 seconds
Output:

Author:          openpyxl
Creator:         Calc
Producer:        LibreOffice 25.2.3.2 (X86_64) / LibreOffice Community
CreationDate:    Thu Aug 20 01:21:21 2026 UTC
Custom Metadata: no
Metadata Stream: yes
Tagged:          yes
UserProperties:  no
Suspects:        no
Form:            none
JavaScript:      no
Pages:           13
Encrypted:       no
Page size:       792 x 612 pts (letter)
Page rot:        0
File size:       2918905 bytes
  45. 45Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"pdftoppm -f 1 -l 4 -png -r 120 /tmp/reset_decision_workbook.pdf /tmp/reset_wb","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":5000}); text(r.output);

    Output

    Script completed
Wall time 0.9 seconds
Output:
  46. 46exec1

    Tool execution only — no assistant text

    execconst rs = await Promise.all([ tools.view_image({path:"/tmp/reset_wb-01.png",detail:"original"}), tools.view_image({path:"/tmp/reset_wb-02.png",detail:"original"}), tools.view_image({path:"/tmp/reset_wb-03.png",detail:"original"}), tools.view_image({path:"/tmp/reset_wb-04.png",detail:"original"}) ]); for (const r of rs) image(r.image_url);880k chars

    Arguments

    const rs = await Promise.all([
  tools.view_image({path:"/tmp/reset_wb-01.png",detail:"original"}),
  tools.view_image({path:"/tmp/reset_wb-02.png",detail:"original"}),
  tools.view_image({path:"/tmp/reset_wb-03.png",detail:"original"}),
  tools.view_image({path:"/tmp/reset_wb-04.png",detail:"original"})
]);
for (const r of rs) image(r.image_url);

    Output

    Script completed
Wall time 0.2 seconds
Output:

    … 878,866 more characters of output in the raw trajectory.

  47. 47Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"npm root -g","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":5000}); text(r.output);

    Output

    Script completed
Wall time 0.4 seconds
Output:

/root/.nvm/versions/node/v22.23.2/lib/node_modules
  48. 48exec1

    Tool execution only — no assistant text

    execconst patch = "*** Begin Patch\n*** Add File: /workspace/scripts/build_reset_memo.js\n+const fs = require(\"fs\");\n+const {\n+ Document, Packer, Paragraph, TextRun, Table, TableRow, TableCell,\n+ Header, Footer, AlignmentType, BorderStyle, WidthType, ShadingType,\n+ VerticalAlign, PageNumber, PageBreak, LevelFormat, TabStopType,\n+ TabStopPosition, TableLayoutType\n+} = require(\"/root/.nvm/versions/node/v22.23.2/lib/node_modules/docx\");\n+\n+const out = \"/workspace/output/grab_go_reset_memo.docx\";\n+const W = 10368;\n+const navy = \"17365D\";\n+

    Arguments

    const patch = "*** Begin Patch\n*** Add File: /workspace/scripts/build_reset_memo.js\n+const fs = require(\"fs\");\n+const {\n+  Document, Packer, Paragraph, TextRun, Table, TableRow, TableCell,\n+  Header, Footer, AlignmentType, BorderStyle, WidthType, ShadingType,\n+  VerticalAlign, PageNumber, PageBreak, LevelFormat, TabStopType,\n+  TabStopPosition, TableLayoutType\n+} = require(\"/root/.nvm/versions/node/v22.23.2/lib/node_modules/docx\");\n+\n+const out = \"/workspace/output/grab_go_reset_memo.docx\";\n+const W = 10368;\n+const navy = \"17365D\";\n+

    … 20,451 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 0.0 seconds
Output:

{}
  49. 49Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"node --check /workspace/scripts/build_reset_memo.js && node /workspace/scripts/build_reset_memo.js","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":20000}); text(r.output);

    Output

    Script completed
Wall time 0.4 seconds
Output:

/workspace/output/grab_go_reset_memo.docx
  50. 50Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"python /root/.agents/skills/docx/scripts/office/validate.py /workspace/output/grab_go_reset_memo.docx","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":20000}); text(r.output);

    Output

    Script completed
Wall time 2.1 seconds
Output:


Paragraphs: 0 → 209 (+209)
All validations PASSED!
  51. 51Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"python /root/.agents/skills/docx/scripts/office/soffice.py --headless --convert-to pdf --outdir /tmp /workspace/output/grab_go_reset_memo.docx","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":10000}); text(r.output);

    Output

    Script completed
Wall time 1.5 seconds
Output:

Warning: failed to launch javaldx - java may not function correctly
convert /workspace/output/grab_go_reset_memo.docx as a Writer document -> /tmp/grab_go_reset_memo.pdf using filter : writer_pdf_Export
  52. 52Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"pdfinfo /tmp/grab_go_reset_memo.pdf | sed -n '1,16p'","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":5000}); text(r.output);

    Output

    Script completed
Wall time 0.1 seconds
Output:

Title:           Grab-and-Go July Reset Decision Memo
Author:          Blue Mesa Market Category Planning
Creator:         Writer
Producer:        LibreOffice 25.2.3.2 (X86_64) / LibreOffice Community
CreationDate:    Thu Aug 20 01:24:05 2026 UTC
Custom Metadata: no
Metadata Stream: yes
Tagged:          yes
UserProperties:  no
Suspects:        no
Form:            none
JavaScript:      no
Pages:           4
Encrypted:       no
Page size:       612 x 792 pts (letter)
Page rot:        0
  53. 53Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"pdftoppm -png -r 120 /tmp/grab_go_reset_memo.pdf /tmp/reset_memo","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":5000}); text(r.output);

    Output

    Script completed
Wall time 1.2 seconds
Output:
  54. 54exec1

    Tool execution only — no assistant text

    execconst rs = await Promise.all([ tools.view_image({path:"/tmp/reset_memo-1.png",detail:"original"}), tools.view_image({path:"/tmp/reset_memo-2.png",detail:"original"}), tools.view_image({path:"/tmp/reset_memo-3.png",detail:"original"}), tools.view_image({path:"/tmp/reset_memo-4.png",detail:"original"}) ]); for (const r of rs) image(r.image_url);1.2M chars

    Arguments

    const rs = await Promise.all([
  tools.view_image({path:"/tmp/reset_memo-1.png",detail:"original"}),
  tools.view_image({path:"/tmp/reset_memo-2.png",detail:"original"}),
  tools.view_image({path:"/tmp/reset_memo-3.png",detail:"original"}),
  tools.view_image({path:"/tmp/reset_memo-4.png",detail:"original"})
]);
for (const r of rs) image(r.image_url);

    Output

    Script completed
Wall time 0.1 seconds
Output:

    … 1,219,930 more characters of output in the raw trajectory.

  55. 55Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"python - <<'PY'\nfrom zipfile import ZipFile\np='/workspace/output/grab_go_reset_memo.docx'\nwith ZipFile(p) as z:\n x=z.read('word/document.xml').decode()\n print('Arial occurrences',x.count('Arial'))\n print(x[x.find('July Grab'):x.find('July Grab')+500])\nPY","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":5000}); text(r.output);

    Output

    Script completed
Wall time 0.2 seconds
Output:

Arial occurrences 824
July Grab-and-Go Reset</w:t></w:r></w:p><w:p><w:pPr><w:keepNext w:val="false"/><w:spacing w:after="130" w:before="0" w:line="240"/><w:jc w:val="left"/></w:pPr><w:r><w:rPr><w:rFonts w:ascii="Arial" w:cs="Arial" w:eastAsia="Arial" w:hAnsi="Arial"/><w:b w:val="false"/><w:bCs w:val="false"/><w:i w:val="false"/><w:iCs w:val="false"/><w:color w:val="44546A"/><w:sz w:val="23"/><w:szCs w:val="23"/></w:rPr><w:t xml:space="preserve">First-four-week recommendation before Space Planning and field release</w
  56. 56Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"python - <<'PY'\nfrom zipfile import ZipFile\nx=ZipFile('/workspace/output/grab_go_reset_memo.docx').read('word/document.xml').decode()\npos=x.find('July Grab-and-Go Reset')\nprint(x[pos-600:pos+100])\nPY","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":5000}); text(r.output);

    Output

    Script completed
Wall time 0.2 seconds
Output:

6/wordml/cid" xmlns:w16="http://schemas.microsoft.com/office/word/2018/wordml" xmlns:w16sdtdh="http://schemas.microsoft.com/office/word/2020/wordml/sdtdatahash" xmlns:w16se="http://schemas.microsoft.com/office/word/2015/wordml/symex"><w:body><w:p><w:pPr><w:keepNext w:val="false"/><w:spacing w:after="30" w:before="0" w:line="440"/><w:jc w:val="left"/></w:pPr><w:r><w:rPr><w:rFonts w:ascii="Arial" w:cs="Arial" w:eastAsia="Arial" w:hAnsi="Arial"/><w:b/><w:bCs/><w:i w:val="false"/><w:iCs w:val="false"/><w:color w:val="17365D"/><w:sz w:val="42"/><w:szCs w:val="42"/></w:rPr><w:t xml:space="preserve">July Grab-and-Go Reset</w:t></w:r></w:p><w:p><w:pPr><w:keepNext w:val="false"/><w:spacing w:after="1
  57. 57exec1

    Tool execution only — no assistant text

    execconst patch = "*** Begin Patch\n*** Update File: /workspace/scripts/build_reset_workbook.py\n@@\n- (\"Gross profit before shrink\", \"='4W Economics'!D11\", \"$\"),\n+ (\"Gross profit\", \"='4W Economics'!D11\", \"$\"),\n@@\n- (\"Net contribution after waste/support\", \"='4W Economics'!I11\", \"$\"),\n+ (\"Net contribution\", \"='4W Economics'!I11\", \"$\"),\n*** Update File: /workspace/scripts/build_reset_memo.js\n@@\n- bullet(\"Launch Spicy Tuna Sushi with one facing only in the nine Metro M-11 stores repres

    Arguments

    const patch = "*** Begin Patch\n*** Update File: /workspace/scripts/build_reset_workbook.py\n@@\n-    (\"Gross profit before shrink\", \"='4W Economics'!D11\", \"$\"),\n+    (\"Gross profit\", \"='4W Economics'!D11\", \"$\"),\n@@\n-    (\"Net contribution after waste/support\", \"='4W Economics'!I11\", \"$\"),\n+    (\"Net contribution\", \"='4W Economics'!I11\", \"$\"),\n*** Update File: /workspace/scripts/build_reset_memo.js\n@@\n-  bullet(\"Launch Spicy Tuna Sushi with one facing only in the nine Metro M-11 stores repres

    … 1,031 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 0.0 seconds
Output:

{}
  58. 58Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"python /workspace/scripts/build_reset_workbook.py && node /workspace/scripts/build_reset_memo.js","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":10000}); text(r.output);

    Output

    Script completed
Wall time 4.9 seconds
Output:

/workspace/output/reset_decision_workbook.xlsx
/workspace/output/grab_go_reset_memo.docx
  59. 59Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const rs = await Promise.all([
  tools.exec_command({cmd:"python /root/.agents/skills/xlsx/scripts/recalc.py /workspace/output/reset_decision_workbook.xlsx 60","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":20000}),
  tools.exec_command({cmd:"python /root/.agents/skills/docx/scripts/office/validate.py /workspace/output/grab_go_reset_memo.docx","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":20000})
]);
for (const r of rs) text(r.output);

    Output

    Script completed
Wall time 3.4 seconds
Output:

status: success
total_errors: 0
error_summary: {}
total_formulas: 3730

Paragraphs: 0 → 209 (+209)
All validations PASSED!
  60. 60Both deliverables are built and validated: the workbook has zero formula errors, and the Word file passes package valida…

    Both deliverables are built and validated: the workbook has zero formula errors, and the Word file passes package validation. I’m completing the final cross-file checks now—matching memo totals, assortment facings, vendor support, and route scope back to the workbook.

  61. 61Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const rs = await Promise.all([
  tools.exec_command({cmd:"python /root/.agents/skills/docx/scripts/office/soffice.py --headless --convert-to pdf --outdir /tmp /workspace/output/grab_go_reset_memo.docx","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":10000}),
  tools.exec_command({cmd:"python /root/.agents/skills/xlsx/scripts/office/soffice.py --headless --convert-to pdf --outdir /tmp /workspace/output/reset_decision_workbook.xlsx","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":10000})
]);
for (const r of rs) text(r.output);

    … 2 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 3.2 seconds
Output:

Warning: failed to launch javaldx - java may not function correctly

Warning: failed to launch javaldx - java may not function correctly
convert /workspace/output/grab_go_reset_memo.docx as a Writer document -> /tmp/grab_go_reset_memo.pdf using filter : writer_pdf_Export
Overwriting: /tmp/grab_go_reset_memo.pdf
convert /workspace/output/reset_decision_workbook.xlsx as a Calc document -> /tmp/reset_decision_workbook.pdf using filter : calc_pdf_Export
Overwriting: /tmp/reset_decision_workbook.pdf
  62. 62Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"pdfinfo /tmp/grab_go_reset_memo.pdf | rg '^Pages|^Page size' && pdfinfo /tmp/reset_decision_workbook.pdf | rg '^Pages|^Page size' && pdftoppm -f 4 -l 4 -png -r 120 /tmp/grab_go_reset_memo.pdf /tmp/reset_memo_final && pdftoppm -f 1 -l 1 -png -r 120 /tmp/reset_decision_workbook.pdf /tmp/reset_wb_final","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":5000}); text(r.output);

    Output

    Script completed
Wall time 0.8 seconds
Output:

Pages:           4
Page size:       612 x 792 pts (letter)
Pages:           13
Page size:       792 x 612 pts (letter)
  63. 63exec1

    Tool execution only — no assistant text

    execconst rs = await Promise.all([ tools.view_image({path:"/tmp/reset_memo_final-4.png",detail:"original"}), tools.view_image({path:"/tmp/reset_wb_final-01.png",detail:"original"}) ]); for (const r of rs) image(r.image_url);643k chars

    Arguments

    const rs = await Promise.all([
  tools.view_image({path:"/tmp/reset_memo_final-4.png",detail:"original"}),
  tools.view_image({path:"/tmp/reset_wb_final-01.png",detail:"original"})
]);
for (const r of rs) image(r.image_url);

    Output

    Script completed
Wall time 0.1 seconds
Output:

    … 641,982 more characters of output in the raw trajectory.

  64. 64Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"python - <<'PY'\nfrom openpyxl import load_workbook\nfrom docx import Document\nfrom pathlib import Path\nimport math\np=Path('/workspace/output/reset_decision_workbook.xlsx')\nwb=load_workbook(p,data_only=True)\nassert not wb._external_links\nfa=wb['Final Assortment']\nrows=[]\nfor r in range(5,55):\n rows.append({fa.cell(4,c).value:fa.cell(r,c).value for c in range(1,23)})\ncarried=[x for x in rows if x['Final facings'] and x['Final facings']>0]\nassert len(rows)==50\nfor cc in ['MET','COM','CAM','HWY','RUR']:\n assert any(x[

    … 1,691 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 1.5 seconds
Output:

Traceback (most recent call last):
  File "<stdin>", line 32, in <module>
AssertionError: Decision: release with changes
  65. 65Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"python - <<'PY'\nfrom openpyxl import load_workbook\nfrom docx import Document\nfrom pathlib import Path\nimport math\np=Path('/workspace/output/reset_decision_workbook.xlsx')\nwb=load_workbook(p,data_only=True)\nassert not wb._external_links\nfa=wb['Final Assortment']\nrows=[{fa.cell(4,c).value:fa.cell(r,c).value for c in range(1,23)} for r in range(5,55)]\ncarried=[x for x in rows if x['Final facings'] and x['Final facings']>0]\nassert len(rows)==50\nfor cc in ['MET','COM','CAM','HWY','RUR']:\n assert any(x['Cluster']==cc and x

    … 1,814 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 1.9 seconds
Output:

QA PASS: assortment, capacity, economics, support caps, source-row counts, external links, and memo cross-checks
  66. 66exec1

    Tool execution only — no assistant text

    execconst p = await tools.update_plan({explanation:"Both requested files are complete. The workbook recalculates without errors and the memo has been validated and rendered; final QA confirms the assortment, route scope, vegetarian coverage, economics, support caps, and capacity values match across files.",plan:[ {step:"Read the document, spreadsheet, and PDF skill instructions",status:"completed"}, {step:"Inventory and inspect all attached source materials",status:"completed"}, {step:"Reconcile demand, economics, vendor terms, routing, and capacity",status:"complet

    Arguments

    const p = await tools.update_plan({explanation:"Both requested files are complete. The workbook recalculates without errors and the memo has been validated and rendered; final QA confirms the assortment, route scope, vegetarian coverage, economics, support caps, and capacity values match across files.",plan:[
  {step:"Read the document, spreadsheet, and PDF skill instructions",status:"completed"},
  {step:"Inventory and inspect all attached source materials",status:"completed"},
  {step:"Reconcile demand, economics, vendor terms, routing, and capacity",status:"complet

    … 180 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 0.0 seconds
Output:

{}
  67. 67Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"ls -lh /workspace/output","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":5000}); text(r.output);

    Output

    Script completed
Wall time 0.1 seconds
Output:

total 144K
-rw-r--r-- 1 root root  19K Aug 20 01:25 grab_go_reset_memo.docx
-rw-r--r-- 1 root root 123K Aug 20 01:25 reset_decision_workbook.xlsx
  68. 68Completed both deliverables: - [Merchant memo](/workspace/output/grab_go_reset_memo.docx) - [Decision workbook](/workspa…

    Completed both deliverables:

    • Merchant memo
    • Decision workbook

    The workbook has zero formula errors; both files passed validation and cross-file reconciliation.

3 failure modes across 5 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.