EKWbench

task_116Retail trade

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

TaxonomyRetail tradeGeneral and operations managers

All trialsGPT-5.6 TerracodexTrial 02

62%

Trial reward

GPT-5.6 TerraFail

Trial 02 — 3rd of 4 by reward score. This model averages 59.2% across 4 trials on this task.

  • 10/15Core verifiers passed
  • 12/18All verifiers passed
  • 5Core failed
  • 52Turns
  • 43Tool calls
  • $1.67Cost
  • 20.5mTime
  • 62kOutput tokens

Missed 5 of 15 core — capacity, execution and core_final_facings and 2 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

  • capacityLLMFail
    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

    Failure mode Required Numeric Summary Missing or Inconsistent

    Why it failed

    The memo states only a general or partial capacity picture and never lays out all four buyer-proposal cluster overages with their exact numbers.

    Justification

    The memo says only in general that the buyer proposal for Commuter, Campus, Highway, and Rural 'exceed[s] live capacity' and then shows final-state capacities (e.g., Commuter 10.0/10.0, Highway 7.5/8.0). It does not include the required buyer-proposal capacity reconciliation with all four numeric conflicts: Commuter 10.5 vs 10.0 (+0.5), Campus 10.5 vs 10.0 (+0.5), Highway 8.5 vs 8.0 (+0.5), and Rural 7.5 vs 7.0 (+0.5). It does note live July capacity only, not the pending September project, but the required proposal-vs-live numeric comparisons are missing.

  • 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_profitLLMPass
    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

  • 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 has cluster-level facings, but it does not satisfy the required final outcomes: Metro is split into “M-11 route” (11.5/12.0 with Sushi 1) and “other stores” (10.0/12.0) rather than a single 12.0-slot Metro Core plan; Campus / Hospital lists Caprese 1 and Protein Box 2 but no Hummus 1; Highway / Travel lists Protein Box 2, not 1; and Rural North lists 7.0 slots and Protein Box 2, not the required 6.0 slots and Protein 1.

  • 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 workbook’s final facing plan has multiple material mismatches versus the required values. In 'Final Plan', Chicken Caesar Wrap is 3 in Metro and 3 in Campus / Hospital (expected 2 and 2), Turkey Club Sandwich is 1 in Highway / Travel (expected 2), Southwest Chicken Bowl is 1 in Metro (expected 2), and Protein Snack Box is 2 in Highway / Travel and 2 in Rural North (expected 1 and 1). Sushi is correctly 1 in Metro only and 0 elsewhere, but two or more listed final facings differ materially, so the rubric fails.

  • capacityLLMFail
    Why it matters

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

    How to pass

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

    Reads

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

    Why it failed

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

    Justification

    The workbook does include a numeric Capacity Check sheet with live capacities and proposal/final slot counts, but it does not satisfy the required final reconciliations: Metro is split into 11.5 slots for M-11 and 10.0 for other stores instead of a Metro final use of 12.0, and Rural North shows 7.0 final slots instead of the required 6.0. The proposal over-capacity rows are shown as 10.5/10.5/8.5/7.5 versus live capacity, but the required final tray-slot values are not met.

  • dropsLLMPass
    Why it matters

    Leaving these SKUs in the final workbook would contradict the economics and handoff.

    How to pass

    Checks whether the workbook removes the two weak legacy/seasonal SKUs.

    Reads

  • vegetarian_roleLLMFail
    Why it matters

    This captures the nuanced vegetarian tradeoff that generic models often miss.

    How to pass

    Checks whether the workbook handles Caprese and Hummus distribution correctly.

    Reads

    Failure mode Eligibility or Controlling Rule Applied Incorrectly

    Why it failed

    Caprese Ciabatta and Hummus Veggie Wrap end up eligible or ineligible in the wrong clusters relative to the MET/CAM-only Caprese rule and the COM/CAM/HWY/RUR Hummus-retention rule.

    Justification

    Caprese Ciabatta is added only in Metro Core and Campus / Hospital and not added in Commuter, Highway, or Rural, but Hummus Veggie Wrap is not retained in Campus / Hospital. The CAM reconciliation says GGS-5MTC is 'Accept | Remove | 0 | Not ranged,' and the Final Plan lists Caprese for CAM but no Hummus.

  • 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 partly supports disciplined unused capacity (e.g., Highway / Travel is listed at 7.5 / 8.0 slots and it says not to use weak items like Turkey Cranberry or Caprese there), but it does not satisfy all rubric criteria: Rural North is shown as 7.0 / 7.0 slots, not 6.0 / 7.0 with 1.0 open, and the memo does not explicitly provide both required open-slot values (0.5 open and 1.0 open) for the two final underfilled clusters.

  • 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.docx15 KB

JULY REFRIGERATED GRAB-AND-GO RESET

First-four-week release recommendation

To: Senior Merchant — Prepared Foods; Space Planning; Field Operations From: Category Planning

Recommendation

Approve the July reset only with the revisions below. Do not release the buyer proposal as submitted: Commuter, Campus, Highway, and Rural exceed live capacity; the proposed sushi and Caprese launches also conflict with signed route terms in several clusters.

The revised plan protects high-velocity lunch lines, maintains one credible vegetarian lunch option in every cluster, retains only supported launches, and leaves intentional unused tray capacity where a full-facing solution would otherwise create shrink or execution risk.

Revised cluster-level assortment and capacity

Final facings below are full facings. Tray utilization is per store and is reconciled to the live July case—not the pending September lease-line project.

Cluster / store set

Final full-facing assortment

Live capacity

Release instruction

Metro — M-11 route

Chicken Caesar 3; Turkey Club 1; Southwest Bowl 1; Cobb 1; Caprese 1; Protein Box 2; Sushi 1.

11.5 / 12.0 slots

Sushi only at stores on the signed Sakura M-11 daily route. One full facing; do not hold over.

Metro — other stores

Chicken Caesar 3; Turkey Club 1; Southwest Bowl 1; Cobb 1; Caprese 1; Protein Box 2.

10.0 / 12.0 slots

No sushi. Do not backfill the unused capacity with Egg Salad or Turkey Cranberry.

Commuter Suburban

Chicken Caesar 2; Turkey Club 2; Southwest Bowl 1; Hummus 1; Cobb 1; Protein Box 2.

10.0 / 10.0 slots

Keep Hummus instead of Caprese; do not add sushi.

Campus / Hospital

Chicken Caesar 3; Turkey Club 1; Southwest Bowl 1; Cobb 1; Caprese 1; Protein Box 2.

10.0 / 10.0 slots

Caprese is the vegetarian lunch option. Do not add sushi.

Highway / Travel

Chicken Caesar 2; Turkey Club 1; Southwest Bowl 1; Hummus 1; Protein Box 2.

7.5 / 8.0 slots

Hummus is a controlled vegetarian exception; no Caprese route expansion or Turkey Cranberry.

Rural North

Chicken Caesar 2; Turkey Club 2; Hummus 1; Protein Box 2.

7.0 / 7.0 slots

Remove Southwest Bowl and Egg Salad; Hummus is the controlled vegetarian exception.

Proposal changes that matter

Proposal component / final call

Why the proposal changes

Release handling

Sushi

Change Metro to 1 facing, signed M-11 only; reject Commuter and Campus launches.

Only Metro M-11 has signed daily route and 50% documented-waste credit. Sushi has a one-day code. Internal pilot waste was 10.0% in Metro, 30.6% in Commuter, and 24.0% in Campus.

Attach the signed M-11 store list to the Space Planning file. If a store cannot be mapped to M-11, hold sushi out of that store.

Caprese / Hummus

Accept Caprese only in Metro and Campus. Keep Hummus in Commuter, Highway, and Rural.

Metro and Campus pilots favor Caprese; Commuter favors Hummus. GreenFork prohibits Caprese expansion in Highway and Rural. Each cluster still needs a credible vegetarian lunch option.

Highway and Rural Hummus use is a controlled exception: two-day code, fewer than four delivery days, and no signed shrink credit.

Protein Snack Box

Accept 2 facings in all five clusters.

Controlled pilots delivered 1.84–5.60 sales/store/week with 2.5%–7.5% waste, a five-day code, all-cluster Urban Spoon routing, and $0.35 scan support.

Keep at the final facing counts; do not assume extra deliveries or shrink credit.

Legacy / seasonal

Remove Egg Salad and Turkey Cranberry in every cluster; remove Rural Southwest Bowl.

Egg Salad and Turkey Cranberry ran only 0.69–1.57 sales/store/week with 18.8%–23.4% waste. Rural Southwest was 1.38 sales/store/week at 18.3% waste. Turkey Cranberry has no authorized returns or billbacks after Jan. 31.

Do not retain these items to fill space. The released Rural Bowl tray supports core Chicken Caesar availability instead.

Core lunch facings

Increase Chicken Caesar by one facing in every cluster; reduce Highway Turkey Club from 2 to 1.

Chicken Caesar runs 3.69–6.80 sales/store/week and has 0.18–0.33 OOS days/store/week in every cluster.

This uses released capacity to protect lunch traffic rather than adding low-repeat items.

Supporting economics

Demand evidence below uses the internal April–May eight-week sales, waste, and inventory record. Supplier projections and buyer comments were not used to establish demand.

Decision

Internal economics / support check

Implication

Protein Snack Box

Accepted in all five clusters: 1.84–5.60 sales/store/week; 2.5%–7.5% waste. Four-week observed-run-rate support units are about 1,214, below the signed 8,000-unit cap.

Five-day code, all-cluster route coverage, and signed $0.35 per scanned unit support make this the cleanest launch.

Caprese selective swap

Metro: 3.17 sales/store/week / 8.2% waste versus Hummus 1.96 / 7.8%. Campus: 3.30 / 5.9% versus 3.10 / 7.2%. Commuter reverses: Caprese 1.83 / 16.2% versus Hummus 2.18 / 8.7%.

Use internal pilot results, not supplier projections. Four-week Caprese support units are about 373, below the signed 5,500-unit cap.

Sushi controlled launch

Metro pilot: 3.15 sales/store/week and 10.0% waste. One M-11 store has an estimated four-week run-rate Net GP of about $69 after the authorized 50% waste credit.

No Metro-wide sushi total is modeled: the materials do not provide the M-11 store count.

Final all-cluster portfolio

The full-cluster assortment excluding Sushi carries a four-week observed-run-rate of about 6,640 sales units, 416 waste units, and $25,675 Net GP after signed credits / support.

This is an operating run rate, not a sales forecast. It assumes no incremental lift from increasing core facings.

Release controls and highest execution risks

The reset is operationally ready if these controls travel with the Space Planning release:

Sakura M-11 mapping — attach the signed current M-11 store list. Do not use a broad Metro code; if a store cannot be matched to M-11, exclude sushi there.

Highway and Rural Hummus — keep only one facing, order conservatively, and do not assume four-day delivery or GreenFork shrink credit.

Capacity discipline — use the revised case maps; do not solve 0.5-slot gaps with partial facings, Egg Salad, Turkey Cranberry, or a low-repeat substitute.

Credit documentation — Sakura waste credit is M-11 only; GreenFork shrink credit applies only where the signed delivery threshold is met; Turkey Cranberry has no authorized post-January return or billback.

Decision and handoff

Release the revised workbook. Range Sushi only at Metro stores confirmed on the signed M-11 route; all other cluster plans may proceed at the final facings shown.

User prompt → 52 turns · 43 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 review the source materials against the stated authority hierarchy, then build a merchant-ready memo and an auditab…

    I’ll review the source materials against the stated authority hierarchy, then build a merchant-ready memo and an auditable decision workbook. I’m using the document and spreadsheet workflows because the requested outputs are .docx and .xlsx; if the attachments include PDFs, I’ll use the PDF workflow for those as well.

  7. 7Shell1

    Tool execution only — no assistant text

    Shellvia exec19k chars

    Arguments

    const r = await Promise.all([
      tools.exec_command({"cmd":"sed -n '1,240p' /root/.agents/skills/docx/SKILL.md","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":30000}),
      tools.exec_command({"cmd":"sed -n '1,260p' /root/.agents/skills/xlsx/SKILL.md","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":30000})
    ]);
    text(r.map(x=>x.output).join("\n\n---XLSX SKILL---\n\n"));

    Output

    Script completed
    Wall time 0.1 seconds
    Output:
    
    ---
    name: docx
    description: "Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation."
    license: Proprietary. LICENSE.txt has complete t

    … 18,338 more characters of output in the raw trajectory.

  8. 8Shell1

    Tool execution only — no assistant text

    Shellvia exec12k chars

    Arguments

    const r = await Promise.all([
      tools.exec_command({"cmd":"sed -n '241,520p' /root/.agents/skills/docx/SKILL.md","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":30000}),
      tools.exec_command({"cmd":"sed -n '261,620p' /root/.agents/skills/xlsx/SKILL.md","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":30000}),
      tools.exec_command({"cmd":"find /workspace -maxdepth 3 -type f -printf '%p\\n' | sort","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":30000})
    ]);
    text(r.map((x,i)=>["---DOCX CONT---

    … 80 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 0.1 seconds
    Output:
    
    ---DOCX CONT---
    new Paragraph({ children: [new PageBreak()] })
    
    // Or use pageBreakBefore
    new Paragraph({ pageBreakBefore: true, children: [new TextRun("New page")] })
    ```
    
    ### Hyperlinks
    
    ```javascript
    // External link
    new Paragraph({
      children: [new ExternalHyperlink({
        children: [new TextRun({ text: "Click here", style: "Hyperlink" })],
        link: "https://example.com",
      })]
    })
    
    // Internal link (bookmark + reference)
    // 1. Create bookmark at destination
    new Paragraph({ heading: HeadingLevel.HEADING_1, children: [
      new Bookmark({ id: "chapter1", children: [new TextRun("Chapter 1")] }),
    ]})
    // 2. Link to it
    new Paragraph({ children: [new InternalHyperlink({
      children: [new TextRun({ text: "See Chapter 1", style: "Hyperlink" })],
      anchor: "chapter1",
    })]})
    ```
    
    ### Footnotes
    
    ```javascript
    const doc = new Document({
      footnotes

    … 10,584 more characters of output in the raw trajectory.

  9. 9Shell1

    Tool execution only — no assistant text

    Shellvia exec13k chars

    Arguments

    const r = await Promise.all([
      tools.exec_command({"cmd":"sed -n '1,520p' /root/.agents/skills/pdf/SKILL.md","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":50000}),
      tools.exec_command({"cmd":"for f in /workspace/data/*.csv; do echo \"### $f\"; sed -n '1,12p' \"$f\"; done","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":40000}),
      tools.exec_command({"cmd":"file /workspace/data/*; command -v pandoc; command -v pdftotext; node --version; npm --version; python --version","workdir":"/workspace","yield_time_

    … 167 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 0.2 seconds
    Output:
    
    ---PDF SKILL---
    ---
    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
    
    ```pyth

    … 12,444 more characters of output in the raw trajectory.

  10. 10Shell1

    Tool execution only — no assistant text

    Shellvia exec4k chars

    Arguments

    const r = await Promise.all([
      tools.exec_command({"cmd":"rg --files /root/.agents/skills | rg '/(unpack|validate|soffice|recalc)\\.py$'","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":10000}),
      tools.exec_command({"cmd":"pdftotext -layout /workspace/data/signed_vendor_offer_letters.pdf -","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":40000}),
      tools.exec_command({"cmd":"unzip -p /workspace/data/merchant_handoff_prepared_foods.docx word/document.xml | sed -E 's/<w:tab\\/>/\\t/g; s#</w:p>#\\n#g; s#<[^>]+>##g

    … 636 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 0.2 seconds
    Output:
    
    ---SCRIPTS---
    /root/.agents/skills/xlsx/scripts/recalc.py
    /root/.agents/skills/xlsx/scripts/office/soffice.py
    /root/.agents/skills/xlsx/scripts/office/validate.py
    /root/.agents/skills/docx/scripts/office/soffice.py
    /root/.agents/skills/xlsx/scripts/office/unpack.py
    /root/.agents/skills/docx/scripts/office/validate.py
    /root/.agents/skills/docx/scripts/office/unpack.py
    
    
    ---SIGNED OFFERS---
            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

    … 3,168 more characters of output in the raw trajectory.

  11. 11Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({"cmd":"rm -rf /tmp/merchant_handoff_unpacked && python /root/.agents/skills/docx/scripts/office/unpack.py /workspace/data/merchant_handoff_prepared_foods.docx /tmp/merchant_handoff_unpacked && sed -n '1,260p' /tmp/merchant_handoff_unpacked/word/document.xml","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":50000});
    text(r.output);

    Output

    Script failed
    Wall time 0.0 seconds
    Output:
    
    Script error:
    exec_command failed for `/bin/bash -lc "rm -rf /tmp/merchant_handoff_unpacked && python /root/.agents/skills/docx/scripts/office/unpack.py /workspace/data/merchant_handoff_prepared_foods.docx /tmp/merchant_handoff_unpacked && sed -n '1,260p' /tmp/merchant_handoff_unpacked/word/document.xml"`: CreateProcess { message: "Rejected(\"`/bin/bash -lc \\\"rm -rf /tmp/merchant_handoff_unpacked && python /root/.agents/skills/docx/scripts/office/unpack.py /workspace/data/merchant_handoff_prepared_foods.docx /tmp/merchant_handoff_unpacked && sed -n '1,260p' /tmp/merchant_handoff_unpacked/word/document.xml\\\"` rejected: rm -f style commands are not permitted. Use a safer approach\")" }
  12. 12Shell1

    Tool execution only — no assistant text

    Shellvia exec11k chars

    Arguments

    const r = await tools.exec_command({"cmd":"test ! -e /tmp/merchant_handoff_unpacked_20260820 && python /root/.agents/skills/docx/scripts/office/unpack.py /workspace/data/merchant_handoff_prepared_foods.docx /tmp/merchant_handoff_unpacked_20260820 && sed -n '1,320p' /tmp/merchant_handoff_unpacked_20260820/word/document.xml","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":50000});
    text(r.output);

    Output

    Script completed
    Wall time 0.8 seconds
    Output:
    
    Unpacked /workspace/data/merchant_handoff_prepared_foods.docx (16 XML files), simplified 0 tracked changes, merged 0 runs
    <?xml version="1.0" encoding="UTF-8"?><w:document xmlns:wpc="http://schemas.microsoft.com/office/word/2010/wordprocessingCanvas" xmlns:mo="http://schemas.microsoft.com/office/mac/office/2008/main" xmlns:mc="http://schemas.openxmlformats.org/markup-compatibility/2006" xmlns:mv="urn:schemas-microsoft-com:mac:vml" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:r="http://schemas.openxmlformats.org/officeDocument/2006/relationships" xmlns:m="http://schemas.openxmlformats.org/officeDocument/2006/math" xmlns:v="urn:schemas-microsoft-com:vml" xmlns:wp14="http://schemas.microsoft.com/office/word/2010/wordprocessingDrawing" xmlns:wp="http://schemas.openxmlformats.org/drawingml/2006/wordprocessingDrawing" xmlns:w10="urn:schemas-microsoft-com:office:w

    … 10,173 more characters of output in the raw trajectory.

  13. 13Shell1

    Tool execution only — no assistant text

    Shellvia exec2k chars

    Arguments

    const r = await tools.exec_command({"cmd":"sed -n '320,760p' /tmp/merchant_handoff_unpacked_20260820/word/document.xml","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":60000});
    text(r.output);

    Output

    Script completed
    Wall time 0.1 seconds
    Output:
    
          <w:tr>
            <w:tc>
              <w:tcPr>
                <w:tcW w:type="dxa" w:w="3456"/>
                <w:vAlign w:val="top"/>
              </w:tcPr>
              <w:p>
                <w:r>
                  <w:rPr>
                    <w:sz w:val="17"/>
                  </w:rPr>
                  <w:t>Legacy and seasonal SKUs</w:t>
                </w:r>
              </w:p>
            </w:tc>
            <w:tc>
              <w:tcPr>
                <w:tcW w:type="dxa" w:w="3456"/>
                <w:vAlign w:val="top"/>
              </w:tcPr>
              <w:p>
                <w:r>
                  <w:rPr>
                    <w:sz w:val="17"/>
                  </w:rPr>
                  <w:t>Egg Salad and Turkey Cranberry both have store advocates, but the recent data is weak and shrink-heavy.</w:t>
                </w:r>
              </w:p>
            </w:tc>
            <w:tc>
              <w:tcPr>
                <w:tcW w:t

    … 1,234 more characters of output in the raw trajectory.

  14. 14exec1

    Tool execution only — no assistant text

    execconst r = await tools.update_plan({plan:[ {step:"Extract the handoff, signed offers, proposal, capacity, and internal performance records","status":"completed"}, {step:"Reconcile proposed actions to authority, economics, and live case capacity","status":"in_progress"}, {step:"Create and validate the supporting decision workbook","status":"pending"}, {step:"Create and validate the merchant-facing memo","status":"pending"} ]}); text(typeof r === "string" ? r : JSON.stringify(r));

    Arguments

    const r = await tools.update_plan({plan:[
      {step:"Extract the handoff, signed offers, proposal, capacity, and internal performance records","status":"completed"},
      {step:"Reconcile proposed actions to authority, economics, and live case capacity","status":"in_progress"},
      {step:"Create and validate the supporting decision workbook","status":"pending"},
      {step:"Create and validate the merchant-facing memo","status":"pending"}
    ]});
    text(typeof r === "string" ? r : JSON.stringify(r));

    Output

    Script completed
    Wall time 0.0 seconds
    Output:
    
    {}
  15. 15Shell1

    Tool execution only — no assistant text

    Shellvia exec29k chars

    Arguments

    const r = await tools.exec_command({"cmd":"python - <<'PY'\nimport pandas as pd\npd.set_option('display.max_rows', 200)\npd.set_option('display.max_columns', 30)\npd.set_option('display.width', 240)\nfor name in ['buyer_reset_proposal','item_master_unit_economics','store_cluster_capacity']:\n    print('\\n###',name)\n    df=pd.read_csv('/workspace/data/'+name+'.csv')\n    print(df.to_string(index=False))\n\nx=pd.read_csv('/workspace/data/weekly_pos_inventory_waste.csv')\nprint('\\n### performance item-cluster summary')\ngrp=(x.groupby(['cluster_code','cluster_name'

    … 888 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 1.5 seconds
    Output:
    
    
    ### buyer_reset_proposal
    proposal_date cluster_code      cluster_name      sku                      item proposed_action  proposed_facings                                                                                   buyer_comment  supplier_projection_units_per_store_week
       2026-06-12          MET        Metro Core GGS-84QJ       Chicken Caesar Wrap            Keep                 2                                                                                             NaN                                       NaN
       2026-06-12          MET        Metro Core GGS-2VWK      Turkey Club Sandwich            Keep                 1                                                                                             NaN                                       NaN
       2026-06-12          MET        Metro Core GGS-9PQL    Southwest Chicken Bowl            Kee

    … 28,129 more characters of output in the raw trajectory.

  16. 16I’ve confirmed the proposal is not release-ready as submitted: Commuter and Campus exceed live capacity, Highway exceeds…

    I’ve confirmed the proposal is not release-ready as submitted: Commuter and Campus exceed live capacity, Highway exceeds capacity and proposes an unroutable vegetarian swap, and the sushi launch cannot extend beyond the signed Metro M‑11 route. I’m now converting the internal eight-week performance into a first-four-week assortment and economics check.

  17. 17Shell1

    Tool execution only — no assistant text

    Shellvia exec12k chars

    Arguments

    const r = await tools.exec_command({"cmd":"python - <<'PY'\nimport pandas as pd\npd.set_option('display.max_columns', None); pd.set_option('display.width', 300)\npos=pd.read_csv('/workspace/data/weekly_pos_inventory_waste.csv')\nmaster=pd.read_csv('/workspace/data/item_master_unit_economics.csv')\ncap=pd.read_csv('/workspace/data/store_cluster_capacity.csv')\n# item-cluster rates: normalize by stores actually ranged and 8 weeks\ns=(pos.groupby(['cluster_code','sku'],as_index=False).agg(stores_ranged=('stores_ranged','max'),weeks=('week_start','nunique'),sales=('net_sales_un

    … 2,541 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 1.0 seconds
    Output:
    
    cluster_code      sku                      item sales_psw waste_pct oos_psw unit_gp gp_before_shrink_psw shrink_cost_psw shrink_credit_psw scan_allowance_psw net_gp_psw
             CAM GGS-1KFV       Egg Salad Croissant      1.57     18.8%    0.05    3.21                 5.03            0.83              0.00               0.00       4.20
             CAM GGS-2VWK      Turkey Club Sandwich      3.48      5.3%    0.05    3.85                13.39            0.51              0.00               0.00      12.88
             CAM GGS-3RZA          Caprese Ciabatta      3.30      5.9%    0.04    3.89                12.84            0.70              0.21               1.32      13.67
             CAM GGS-4HBP Turkey Cranberry Sandwich      0.69     22.0%    0.05    3.64                 2.52            0.60              0.00               0.00       1.92
             CAM GGS-5MTC        Hu

    … 10,667 more characters of output in the raw trajectory.

  18. 18Shell1

    Tool execution only — no assistant text

    Shellvia exec3k chars

    Arguments

    const r = await tools.exec_command({"cmd":"python - <<'PY'\nimport pandas as pd\npos=pd.read_csv('/workspace/data/weekly_pos_inventory_waste.csv')\nm=pd.read_csv('/workspace/data/item_master_unit_economics.csv')\nc=pd.read_csv('/workspace/data/store_cluster_capacity.csv')\n# selected plan; all full cluster except Met sushi is per eligible M11 store\nplan={\n 'MET':['GGS-84QJ','GGS-2VWK','GGS-9PQL','GGS-7DNL','GGS-3RZA','GGS-6BGH'],\n 'COM':['GGS-84QJ','GGS-2VWK','GGS-9PQL','GGS-5MTC','GGS-7DNL','GGS-6BGH'],\n 'CAM':['GGS-84QJ','GGS-2VWK','GGS-9PQL','GGS-7DNL','GGS-3RZA','

    … 2,770 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 1.1 seconds
    Output:
    
    ### selected plan 4wk run-rate (all-store rows excluding Sushi)
                  4wk_sales  4wk_waste  4wk_gp
    cluster_code                              
    CAM              1152.1       63.2  4566.6
    COM              2221.5      132.1  8612.0
    HWY               958.0       71.0  3535.2
    MET              1687.0       99.0  6742.8
    RUR               621.8       50.8  2218.0
    
    Total excluding sushi =
    4wk_sales     6640.4
    4wk_waste      416.1
    4wk_gp       25674.6
    dtype: float64
    
    ### Selected item 4wk GP
    cluster_code                   item  4wk_sales  4wk_waste  4wk_gp
             CAM       Caprese Ciabatta      145.2        9.9   601.4
             CAM    Chicken Caesar Wrap      299.0       11.5  1052.0
             CAM             Cobb Salad      105.5       10.5   464.2
             CAM      Protein Snack Box      246.4        8.8  1009.0
             CAM Southwest Chicken Bowl 

    … 1,819 more characters of output in the raw trajectory.

  19. 19Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await Promise.all([
      tools.exec_command({"cmd":"node -e \"try { console.log(require.resolve('docx')) } catch (e) { console.error('DOCX_MODULE_NOT_FOUND'); process.exit(2) }\"","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":10000}),
      tools.exec_command({"cmd":"python - <<'PY'\nimport openpyxl\nprint('openpyxl',openpyxl.__version__)\nPY\ncommand -v libreoffice || true\ncommand -v soffice || true","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":10000}),
      tools.exec_command({"cmd":"test -d /workspace/o

    … 296 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 0.8 seconds
    Output:
    
    ---DOCX PACKAGE---
    DOCX_MODULE_NOT_FOUND
    
    
    ---EXCEL RUNTIME---
    openpyxl 3.1.5
    /usr/bin/libreoffice
    /usr/bin/soffice
    
    
    ---OUTPUT DIR---
    
  20. 20Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({"cmd":"npm install --prefix /tmp/codex_docx_deps_20260820 docx","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":30000});
    text(r.output);

    Output

    Script completed
    Wall time 1.8 seconds
    Output:
    
    
    added 22 packages in 2s
    
    1 package is looking for funding
      run `npm fund` for details
    
  21. 21exec1

    Tool execution only — no assistant text

    execconst patch = "*** Begin Patch\n*** Add File: build_reset_workbook.py\n+from pathlib import Path\n+import math\n+import pandas as pd\n+from openpyxl import Workbook\n+from openpyxl.styles import Font, PatternFill, Border, Side, Alignment\n+from openpyxl.comments import Comment\n+from openpyxl.worksheet.table import Table, TableStyleInfo\n+from openpyxl.formatting.rule import FormulaRule\n+from openpyxl.utils import get_column_letter\n+\n+ROOT = Path('/workspace')\n+DATA = ROOT / 'data'\n+OUT = ROOT / 'output'\n+OUT.mkdir(exist_ok=True)\n+OUTFILE = OUT / 'reset_decisi

    Arguments

    const patch = "*** Begin Patch\n*** Add File: build_reset_workbook.py\n+from pathlib import Path\n+import math\n+import pandas as pd\n+from openpyxl import Workbook\n+from openpyxl.styles import Font, PatternFill, Border, Side, Alignment\n+from openpyxl.comments import Comment\n+from openpyxl.worksheet.table import Table, TableStyleInfo\n+from openpyxl.formatting.rule import FormulaRule\n+from openpyxl.utils import get_column_letter\n+\n+ROOT = Path('/workspace')\n+DATA = ROOT / 'data'\n+OUT = ROOT / 'output'\n+OUT.mkdir(exist_ok=True)\n+OUTFILE = OUT / 'reset_decisi

    … 45,153 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 0.0 seconds
    Output:
    
    {}
  22. 22exec1

    Tool execution only — no assistant text

    execconst patch = "*** Begin Patch\n*** Update File: build_reset_workbook.py\n@@\n-make_table(ws, 'ReadMeTable', 'A4:B10')\n add_source_note(ws, 12, 'Source files: merchant_handoff_prepared_foods.docx; signed_vendor_offer_letters.pdf; buyer_reset_proposal.csv; item_master_unit_economics.csv; store_cluster_capacity.csv; weekly_pos_inventory_waste.csv.', 8)\n*** End Patch"; const r = await tools.apply_patch(patch); text(typeof r === "string" ? r : JSON.stringify(r));

    Arguments

    const patch = "*** Begin Patch\n*** Update File: build_reset_workbook.py\n@@\n-make_table(ws, 'ReadMeTable', 'A4:B10')\n add_source_note(ws, 12, 'Source files: merchant_handoff_prepared_foods.docx; signed_vendor_offer_letters.pdf; buyer_reset_proposal.csv; item_master_unit_economics.csv; store_cluster_capacity.csv; weekly_pos_inventory_waste.csv.', 8)\n*** End Patch";
    const r = await tools.apply_patch(patch);
    text(typeof r === "string" ? r : JSON.stringify(r));

    Output

    Script completed
    Wall time 0.0 seconds
    Output:
    
    {}
  23. 23exec1

    Tool execution only — no assistant text

    execconst patch = "*** Begin Patch\n*** Update File: build_reset_workbook.py\n@@\n- body_cell(ws.cell(r, 8), f'=IF(COUNTIF(\\'Final Plan\\'!$A$5:$A${last_plan},A{r})=COUNTIFS(\\'Final Plan\\'!$A$5:$A${last_plan},A{r},\\'Final Plan\\'!$F$5:$F${last_plan},\">=\"&0),\"PASS – all facings whole\",\"CHECK\")', 'formula')\n+ body_cell(ws.cell(r, 8), f'=IF(SUMPRODUCT((\\'Final Plan\\'!$A$5:$A${last_plan}=A{r})*(\\'Final Plan\\'!$F$5:$F${last_plan}<>INT(\\'Final Plan\\'!$F$5:$F${last_plan})))=0,\"PASS – all facings whole\",\"CHECK\")', 'formu

    Arguments

    const patch = "*** Begin Patch\n*** Update File: build_reset_workbook.py\n@@\n-    body_cell(ws.cell(r, 8), f'=IF(COUNTIF(\\'Final Plan\\'!$A$5:$A${last_plan},A{r})=COUNTIFS(\\'Final Plan\\'!$A$5:$A${last_plan},A{r},\\'Final Plan\\'!$F$5:$F${last_plan},\">=\"&0),\"PASS – all facings whole\",\"CHECK\")', 'formula')\n+    body_cell(ws.cell(r, 8), f'=IF(SUMPRODUCT((\\'Final Plan\\'!$A$5:$A${last_plan}=A{r})*(\\'Final Plan\\'!$F$5:$F${last_plan}<>INT(\\'Final Plan\\'!$F$5:$F${last_plan})))=0,\"PASS – all facings whole\",\"CHECK\")', 'formu

    … 124 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 0.0 seconds
    Output:
    
    {}
  24. 24Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

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

    Output

    Script completed
    Wall time 2.5 seconds
    Output:
    
    /workspace/output/reset_decision_workbook.xlsx
    
  25. 25Shell1

    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":40000});
    text(r.output);

    Output

    Script completed
    Wall time 4.2 seconds
    Output:
    
    status: success
    total_errors: 0
    error_summary: {}
    total_formulas: 1543
  26. 26Shell1

    Tool execution only — no assistant text

    Shellvia exec4k chars

    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)\nprint(wb.sheetnames)\nfor s in ['Capacity Check','Read Me']:\n    ws=wb[s]\n    print('\\n',s)\n    for row in ws.iter_rows(min_row=5,max_row=10,values_only=True): print(row[:11])\nws=wb['Item Economics']\nprint('\\nEconomics selected values')\nfor r in range(5,10): print([ws.cell(r,c).value for c in [1,3,4,12,14,15,23,24,27,31,32,33]])\nprint('\\nDecision counts')\nws=wb['Decision

    … 219 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 0.7 seconds
    Output:
    
    ['Read Me', 'Source Proposal', 'Source Master', 'Source Capacity', 'Source Performance', 'Signed Terms', 'Decision Reconciliation', 'Final Plan', 'Capacity Check', 'Item Economics']
    
     Capacity Check
    ('MET M-11 signed route', 'MET', 'Signed M-11 count not supplied; 12 slots per Metro store', 12, 12, 11.5, 0.5, 'PASS – all facings whole', 'PASS – live capacity respected', 'Caprese Ciabatta', 'Sushi may be ranged only where the signed M-11 route list confirms daily service; one facing only.')
    ('MET other stores', 'MET', 'Metro stores not on signed M-11 route; M-11 count not supplied', 12, 12, 10, 2, 'PASS – all facings whole', 'PASS – live capacity respected', 'Caprese Ciabatta', 'No sushi at non-M-11 stores; do not backfill with legacy items.')
    ('COM all stores', 'COM', '26 stores', 10, 10.5, 10, 0, 'PASS – all facings whole', 'PASS – live capacity respected', 'Humm

    … 3,113 more characters of output in the raw trajectory.

  27. 27The supporting workbook is built and recalculated with zero formula errors. I’m now turning the same decisions into the…

    The supporting workbook is built and recalculated with zero formula errors. I’m now turning the same decisions into the merchant memo, with the M‑11 sushi gate and the Highway/Rural vegetarian exception called out as release controls rather than buried in the analysis.

  28. 28exec1

    Tool execution only — no assistant text

    execconst patch = "*** Begin Patch\n*** Add File: build_reset_memo.js\n+const fs = require('fs');\n+const {\n+ AlignmentType, BorderStyle, Document, Footer, Header, HeadingLevel, LevelFormat,\n+ PageBreak, PageNumber, Packer, Paragraph, ShadingType, Table, TableCell,\n+ TableRow, TextRun, VerticalAlign, WidthType,\n+} = require('/tmp/codex_docx_deps_20260820/node_modules/docx');\n+\n+const OUT = '/workspace/output/grab_go_reset_memo.docx';\n+const PAGE_WIDTH = 12240;\n+const MARGIN = 936;\n+const CONTENT = PAGE_WIDTH - (MARGIN * 2);\n+const NAVY = '17365D';\n+const TEAL

    Arguments

    const patch = "*** Begin Patch\n*** Add File: build_reset_memo.js\n+const fs = require('fs');\n+const {\n+  AlignmentType, BorderStyle, Document, Footer, Header, HeadingLevel, LevelFormat,\n+  PageBreak, PageNumber, Packer, Paragraph, ShadingType, Table, TableCell,\n+  TableRow, TextRun, VerticalAlign, WidthType,\n+} = require('/tmp/codex_docx_deps_20260820/node_modules/docx');\n+\n+const OUT = '/workspace/output/grab_go_reset_memo.docx';\n+const PAGE_WIDTH = 12240;\n+const MARGIN = 936;\n+const CONTENT = PAGE_WIDTH - (MARGIN * 2);\n+const NAVY = '17365D';\n+const TEAL

    … 18,081 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*** Update File: build_reset_memo.js\n@@\n- PageBreak, PageNumber, Packer, Paragraph, ShadingType, Table, TableCell,\n- TableRow, TextRun, VerticalAlign, WidthType,\n+ PageBreak, PageNumber, Packer, Paragraph, ShadingType, Table, TableCell,\n+ TableRow, TabStopType, TextRun, VerticalAlign, WidthType,\n@@\n- tabStops: [{ type: 'right', position: CONTENT }],\n+ tabStops: [{ type: TabStopType.RIGHT, position: CONTENT }],\n@@\n- tabStops: [{ type: 'right', position: CONTENT }],\n+ tabStops: [{ type: TabS

    Arguments

    const patch = "*** Begin Patch\n*** Update File: build_reset_memo.js\n@@\n-  PageBreak, PageNumber, Packer, Paragraph, ShadingType, Table, TableCell,\n-  TableRow, TextRun, VerticalAlign, WidthType,\n+  PageBreak, PageNumber, Packer, Paragraph, ShadingType, Table, TableCell,\n+  TableRow, TabStopType, TextRun, VerticalAlign, WidthType,\n@@\n-          tabStops: [{ type: 'right', position: CONTENT }],\n+          tabStops: [{ type: TabStopType.RIGHT, position: CONTENT }],\n@@\n-          tabStops: [{ type: 'right', position: CONTENT }],\n+          tabStops: [{ type: TabS

    … 563 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":"NODE_PATH=/tmp/codex_docx_deps_20260820/node_modules node /workspace/build_reset_memo.js && ls -lh /workspace/output/grab_go_reset_memo.docx","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":30000});
    text(r.output);

    Output

    Script completed
    Wall time 0.3 seconds
    Output:
    
    -rw-r--r-- 1 root root 16K Aug 20 01:43 /workspace/output/grab_go_reset_memo.docx
    
  31. 31Shell1

    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":30000});
    text(r.output);

    Output

    Script completed
    Wall time 1.3 seconds
    Output:
    
    
    Paragraphs: 0 → 87 (+87)
    All validations PASSED!
    
  32. 32Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({"cmd":"mkdir -p /tmp/resetmemo_preview && libreoffice --headless --convert-to pdf --outdir /tmp/resetmemo_preview /workspace/output/grab_go_reset_memo.docx >/tmp/resetmemo_preview/convert.log 2>&1 && pdfinfo /tmp/resetmemo_preview/grab_go_reset_memo.pdf | rg 'Pages|Page size' && pdftoppm -png -r 120 -f 1 -l 4 /tmp/resetmemo_preview/grab_go_reset_memo.pdf /tmp/resetmemo_preview/page","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":30000});
    text(r.output);

    Output

    Script completed
    Wall time 2.1 seconds
    Output:
    
    Pages:           3
    Page size:       612 x 792 pts (letter)
    
  33. 33exec1

    Tool execution only — no assistant text

    execconst r = await tools.view_image({"path":"/tmp/resetmemo_preview/page-1.png","detail":"high"}); image(r.image_url, r.detail);363k chars

    Arguments

    const r = await tools.view_image({"path":"/tmp/resetmemo_preview/page-1.png","detail":"high"});
    image(r.image_url, r.detail);

    Output

    Script completed
    Wall time 0.0 seconds
    Output:
    

    … 362,004 more characters of output in the raw trajectory.

  34. 34exec1

    Tool execution only — no assistant text

    execconst patch = "*** Begin Patch\n*** Update File: build_reset_memo.js\n@@\n const finalPlanRows = [\n [\n- [para([run('Metro — M-11 route', { bold: true, size: 18 })], { spacing: { after: 20 } }), para('Chicken Caesar 3; Turkey Club 1; Southwest Bowl 1; Cobb 1; Caprese 1; Protein Box 2; Sushi 1.', { size: 17, spacing: { after: 0, line: 210 } })],\n+ [para([run('Metro — M-11 route', { bold: true, size: 18 })], { spacing: { after: 0 } })],\n+ 'Chicken Caesar 3; Turkey Club 1; Southwest Bowl 1; Cobb 1; Caprese 1; Protein Box 2; Sushi 1.',\n '11.5 / 12.0 slots',\n

    Arguments

    const patch = "*** Begin Patch\n*** Update File: build_reset_memo.js\n@@\n const finalPlanRows = [\n   [\n-    [para([run('Metro — M-11 route', { bold: true, size: 18 })], { spacing: { after: 20 } }), para('Chicken Caesar 3; Turkey Club 1; Southwest Bowl 1; Cobb 1; Caprese 1; Protein Box 2; Sushi 1.', { size: 17, spacing: { after: 0, line: 210 } })],\n+    [para([run('Metro — M-11 route', { bold: true, size: 18 })], { spacing: { after: 0 } })],\n+    'Chicken Caesar 3; Turkey Club 1; Southwest Bowl 1; Cobb 1; Caprese 1; Protein Box 2; Sushi 1.',\n     '11.5 / 12.0 slots',\n

    … 2,926 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 0.0 seconds
    Output:
    
    {}
  35. 35Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({"cmd":"NODE_PATH=/tmp/codex_docx_deps_20260820/node_modules node /workspace/build_reset_memo.js && 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":30000});
    text(r.output);

    Output

    Script completed
    Wall time 1.3 seconds
    Output:
    
    
    Paragraphs: 0 → 87 (+87)
    All validations PASSED!
    
  36. 36Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({"cmd":"libreoffice --headless --convert-to pdf --outdir /tmp/resetmemo_preview /workspace/output/grab_go_reset_memo.docx >/tmp/resetmemo_preview/convert.log 2>&1 && pdftoppm -png -r 120 -f 1 -l 3 /tmp/resetmemo_preview/grab_go_reset_memo.pdf /tmp/resetmemo_preview/newpage && pdfinfo /tmp/resetmemo_preview/grab_go_reset_memo.pdf | rg 'Pages'","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":30000});
    text(r.output);

    Output

    Script completed
    Wall time 1.8 seconds
    Output:
    
    Pages:           3
    
  37. 37exec1

    Tool execution only — no assistant text

    execconst r = await tools.view_image({"path":"/tmp/resetmemo_preview/newpage-1.png","detail":"high"}); image(r.image_url, r.detail);474k chars

    Arguments

    const r = await tools.view_image({"path":"/tmp/resetmemo_preview/newpage-1.png","detail":"high"});
    image(r.image_url, r.detail);

    Output

    Script completed
    Wall time 0.0 seconds
    Output:
    

    … 472,548 more characters of output in the raw trajectory.

  38. 38exec1

    Tool execution only — no assistant text

    execconst r = await tools.view_image({"path":"/tmp/resetmemo_preview/newpage-2.png","detail":"high"}); image(r.image_url, r.detail);189k chars

    Arguments

    const r = await tools.view_image({"path":"/tmp/resetmemo_preview/newpage-2.png","detail":"high"});
    image(r.image_url, r.detail);

    Output

    Script completed
    Wall time 0.0 seconds
    Output:
    

    … 188,080 more characters of output in the raw trajectory.

  39. 39exec1

    Tool execution only — no assistant text

    execconst r = await tools.view_image({"path":"/tmp/resetmemo_preview/newpage-3.png","detail":"high"}); image(r.image_url, r.detail);380k chars

    Arguments

    const r = await tools.view_image({"path":"/tmp/resetmemo_preview/newpage-3.png","detail":"high"});
    image(r.image_url, r.detail);

    Output

    Script completed
    Wall time 0.0 seconds
    Output:
    

    … 378,784 more characters of output in the raw trajectory.

  40. 40exec1

    Tool execution only — no assistant text

    execconst patch = "*** Begin Patch\n*** Update File: build_reset_memo.js\n@@\n- new Paragraph({ children: [new PageBreak()] }),\n heading('Supporting economics'),\n*** End Patch"; const r = await tools.apply_patch(patch); text(typeof r === "string" ? r : JSON.stringify(r));

    Arguments

    const patch = "*** Begin Patch\n*** Update File: build_reset_memo.js\n@@\n-      new Paragraph({ children: [new PageBreak()] }),\n       heading('Supporting economics'),\n*** End Patch";
    const r = await tools.apply_patch(patch);
    text(typeof r === "string" ? r : JSON.stringify(r));

    Output

    Script completed
    Wall time 0.0 seconds
    Output:
    
    {}
  41. 41Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({"cmd":"NODE_PATH=/tmp/codex_docx_deps_20260820/node_modules node /workspace/build_reset_memo.js && python /root/.agents/skills/docx/scripts/office/validate.py /workspace/output/grab_go_reset_memo.docx && libreoffice --headless --convert-to pdf --outdir /tmp/resetmemo_preview /workspace/output/grab_go_reset_memo.docx >/tmp/resetmemo_preview/convert.log 2>&1 && pdftoppm -png -r 120 -f 1 -l 4 /tmp/resetmemo_preview/grab_go_reset_memo.pdf /tmp/resetmemo_preview/finalpage && pdfinfo /tmp/resetmemo_preview/grab_go_reset_memo.pdf | rg 'Pages'","workd

    … 93 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 3.2 seconds
    Output:
    
    
    Paragraphs: 0 → 86 (+86)
    All validations PASSED!
    Pages:           3
    
  42. 42exec1

    Tool execution only — no assistant text

    execconst r = await Promise.all([ tools.view_image({"path":"/tmp/resetmemo_preview/finalpage-2.png","detail":"high"}), tools.view_image({"path":"/tmp/resetmemo_preview/finalpage-3.png","detail":"high"}) ]); image(r[0].image_url, r[0].detail); image(r[1].image_url, r[1].detail);568k chars

    Arguments

    const r = await Promise.all([
      tools.view_image({"path":"/tmp/resetmemo_preview/finalpage-2.png","detail":"high"}),
      tools.view_image({"path":"/tmp/resetmemo_preview/finalpage-3.png","detail":"high"})
    ]);
    image(r[0].image_url, r[0].detail);
    image(r[1].image_url, r[1].detail);

    Output

    Script completed
    Wall time 0.0 seconds
    Output:
    

    … 567,322 more characters of output in the raw trajectory.

  43. 43exec1

    Tool execution only — no assistant text

    execconst patch = "*** Begin Patch\n*** Update File: build_reset_memo.js\n@@\n heading('Decision and handoff'),\n para([\n- run('Release the revised plans in the supporting workbook to Space Planning and field operations. ', { bold: true }),\n- run('Hold only the Sushi SKU at any Metro store whose M-11 eligibility cannot be demonstrated from the signed route list. The rest of the reset can proceed with the final facings, capacity limits, and credits shown.'),\n- ], { size: 19, spacing: { after: 75, line: 235 } }),\n- para('Supporting detail: r

    Arguments

    const patch = "*** Begin Patch\n*** Update File: build_reset_memo.js\n@@\n       heading('Decision and handoff'),\n       para([\n-        run('Release the revised plans in the supporting workbook to Space Planning and field operations. ', { bold: true }),\n-        run('Hold only the Sushi SKU at any Metro store whose M-11 eligibility cannot be demonstrated from the signed route list. The rest of the reset can proceed with the final facings, capacity limits, and credits shown.'),\n-      ], { size: 19, spacing: { after: 75, line: 235 } }),\n-      para('Supporting detail: r

    … 639 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 0.0 seconds
    Output:
    
    {}
  44. 44Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({"cmd":"NODE_PATH=/tmp/codex_docx_deps_20260820/node_modules node /workspace/build_reset_memo.js && python /root/.agents/skills/docx/scripts/office/validate.py /workspace/output/grab_go_reset_memo.docx && libreoffice --headless --convert-to pdf --outdir /tmp/resetmemo_preview /workspace/output/grab_go_reset_memo.docx >/tmp/resetmemo_preview/convert.log 2>&1 && pdftoppm -png -r 120 -f 1 -l 3 /tmp/resetmemo_preview/grab_go_reset_memo.pdf /tmp/resetmemo_preview/final2page && pdfinfo /tmp/resetmemo_preview/grab_go_reset_memo.pdf | rg 'Pages'","work

    … 94 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 3.1 seconds
    Output:
    
    
    Paragraphs: 0 → 85 (+85)
    All validations PASSED!
    Pages:           2
    
  45. 45exec1

    Tool execution only — no assistant text

    execconst r = await tools.view_image({"path":"/tmp/resetmemo_preview/final2page-2.png","detail":"high"}); image(r.image_url, r.detail);506k chars

    Arguments

    const r = await tools.view_image({"path":"/tmp/resetmemo_preview/final2page-2.png","detail":"high"});
    image(r.image_url, r.detail);

    Output

    Script completed
    Wall time 0.0 seconds
    Output:
    

    … 504,828 more characters of output in the raw trajectory.

  46. 46exec1

    Tool execution only — no assistant text

    execconst patch = "*** Begin Patch\n*** Update File: build_reset_memo.js\n@@\n- 'Chicken Caesar is the highest core lunch rate in every cluster (3.69–6.80 sales/store/week) and has 0.18–0.33 OOS days/store/week.',\n+ 'Chicken Caesar runs 3.69–6.80 sales/store/week and has 0.18–0.33 OOS days/store/week in every cluster.',\n*** End Patch"; const r = await tools.apply_patch(patch); text(typeof r === "string" ? r : JSON.stringify(r));

    Arguments

    const patch = "*** Begin Patch\n*** Update File: build_reset_memo.js\n@@\n-    'Chicken Caesar is the highest core lunch rate in every cluster (3.69–6.80 sales/store/week) and has 0.18–0.33 OOS days/store/week.',\n+    'Chicken Caesar runs 3.69–6.80 sales/store/week and has 0.18–0.33 OOS days/store/week in every cluster.',\n*** End Patch";
    const r = await tools.apply_patch(patch);
    text(typeof r === "string" ? r : JSON.stringify(r));

    Output

    Script completed
    Wall time 0.0 seconds
    Output:
    
    {}
  47. 47Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({"cmd":"NODE_PATH=/tmp/codex_docx_deps_20260820/node_modules node /workspace/build_reset_memo.js && python /root/.agents/skills/docx/scripts/office/validate.py /workspace/output/grab_go_reset_memo.docx && python /root/.agents/skills/xlsx/scripts/recalc.py /workspace/output/reset_decision_workbook.xlsx 60","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":40000});
    text(r.output);

    Output

    Script completed
    Wall time 3.7 seconds
    Output:
    
    
    Paragraphs: 0 → 85 (+85)
    All validations PASSED!
    {
      "status": "success",
      "total_errors": 0,
      "error_summary": {},
      "total_formulas": 1543
    }
    
  48. 48Shell1

    Tool execution only — no assistant text

    Shellvia exec2k chars

    Arguments

    const r = await tools.exec_command({"cmd":"python - <<'PY'\nfrom openpyxl import load_workbook\np='/workspace/output/reset_decision_workbook.xlsx'\nwbv=load_workbook(p,data_only=True)\nfor sheet in ['Read Me','Capacity Check']:\n    print('\\n'+sheet)\n    ws=wbv[sheet]\n    for r in range(14,20) if sheet=='Read Me' else range(5,11):\n        print(r,[ws.cell(r,c).value for c in range(1, min(ws.max_column,11)+1)])\nprint('\\nFile sizes:')\nimport os\nfor f in ['/workspace/output/grab_go_reset_memo.docx','/workspace/output/reset_decision_workbook.xlsx']:\n    print(

    … 148 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 0.7 seconds
    Output:
    
    
    Read Me
    14 ['Key first-four-week run-rate output', 'Value / note', None, None, None, None, None, None]
    15 ['Full-cluster Net GP (excludes Sushi)', 25674.563, None, None, None, None, None, None]
    16 ['Full-cluster Sales Units (excludes Sushi)', 6640.35, None, None, None, None, None, None]
    17 ['Full-cluster Waste Units (excludes Sushi)', 416.075, None, None, None, None, None, None]
    18 ['Sushi 4-week Net GP', 68.5322222222222, None, None, None, None, None, None]
    19 ['Sushi scope', 'Per signed Metro M-11 store only; M-11 store count is not provided in the supplied materials.', None, None, None, None, None, None]
    
    Capacity Check
    5 ['MET M-11 signed route', 'MET', 'Signed M-11 count not supplied; 12 slots per Metro store', 12, 12, 11.5, 0.5, 'PASS – all facings whole', 'PASS – live capacity respected', 'Caprese Ciabatta', 'Sushi may be ranged only where the signed 

    … 1,277 more characters of output in the raw trajectory.

  49. 49exec1

    Tool execution only — no assistant text

    execconst r = await tools.update_plan({explanation:"Reconciled the proposal, produced both deliverables, and validated the Word document plus all workbook formulas.",plan:[ {step:"Extract the handoff, signed offers, proposal, capacity, and internal performance records","status":"completed"}, {step:"Reconcile proposed actions to authority, economics, and live case capacity","status":"completed"}, {step:"Create and validate the supporting decision workbook","status":"completed"}, {step:"Create and validate the merchant-facing memo","status":"completed"

    Arguments

    const r = await tools.update_plan({explanation:"Reconciled the proposal, produced both deliverables, and validated the Word document plus all workbook formulas.",plan:[
      {step:"Extract the handoff, signed offers, proposal, capacity, and internal performance records","status":"completed"},
      {step:"Reconcile proposed actions to authority, economics, and live case capacity","status":"completed"},
      {step:"Create and validate the supporting decision workbook","status":"completed"},
      {step:"Create and validate the merchant-facing memo","status":"completed"

    … 65 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 0.0 seconds
    Output:
    
    {}
  50. 50exec1

    Tool execution only — no assistant text

    execconst patch = "*** Begin Patch\n*** Delete File: build_reset_workbook.py\n*** Delete File: build_reset_memo.js\n*** End Patch"; const r = await tools.apply_patch(patch); text(typeof r === "string" ? r : JSON.stringify(r));

    Arguments

    const patch = "*** Begin Patch\n*** Delete File: build_reset_workbook.py\n*** Delete File: build_reset_memo.js\n*** End Patch";
    const r = await tools.apply_patch(patch);
    text(typeof r === "string" ? r : JSON.stringify(r));

    Output

    Script completed
    Wall time 0.0 seconds
    Output:
    
    {}
  51. 51Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({"cmd":"find /workspace/output -maxdepth 1 -type f -printf '%f\\t%s bytes\\n' | sort && python - <<'PY'\nfrom openpyxl import load_workbook\np='/workspace/output/reset_decision_workbook.xlsx'\nwb=load_workbook(p,data_only=True)\nassert wb['Capacity Check']['I5'].value.startswith('PASS')\nassert wb['Capacity Check']['I10'].value.startswith('PASS')\nprint('Workbook final check passed:', len(wb.sheetnames), 'worksheets')\nPY","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":30000});
    text(r.output);

    Output

    Script completed
    Wall time 0.8 seconds
    Output:
    
    grab_go_reset_memo.docx	15302 bytes
    reset_decision_workbook.xlsx	90816 bytes
    Workbook final check passed: 10 worksheets
    
  52. 52Completed the revised reset recommendation and supporting analysis. - [Merchant memo](sandbox:/workspace/output/grab_go_…

    Completed the revised reset recommendation and supporting analysis.

    • Merchant memo
    • Decision workbook

    Key release gate: Sushi is limited to one facing in signed Metro M-11 stores only; Highway/Rural retain one controlled Hummus facing to meet the vegetarian requirement. All final capacity checks pass, and the workbook recalculated with zero formula errors.

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. 3Eligibility or Controlling Rule Applied IncorrectlyView on Failure Modes ↗Reasoning and Computation1 failure

    Description

    Does the artifact keep an option eligible, exclude a required option, or elevate an advisory rule contrary to a documented origin, certification, source-status, schedule, route, seasonality, hold, lock, or authority rule?

    Failure evidence · per affected verifier

    • Caprese Ciabatta and Hummus Veggie Wrap end up eligible or ineligible in the wrong clusters relative to the MET/CAM-only Caprese rule and the COM/CAM/HWY/RUR Hummus-retention rule.

  4. 4Required Numeric Summary Missing or InconsistentView on Failure Modes ↗Presentation and Communication1 failure

    Description

    Are the detailed rows available and substantially correct while the memo or executive summary omits required counts, capacities, overages, unused amounts, totals, or states a value inconsistent with those rows?

    Failure evidence · per affected verifier

    • The memo states only a general or partial capacity picture and never lays out all four buyer-proposal cluster overages with their exact numbers.