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task_116Retail trade

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

TaxonomyRetail tradeGeneral and operations managers

All trialsGPT-5.6 TerracodexTrial 01

49%

Trial reward

GPT-5.6 TerraFail

Trial 01 — 4th of 4 by reward score. This model averages 59.2% across 4 trials on this task.

  • 8/15Core verifiers passed
  • 10/18All verifiers passed
  • 7Core failed
  • 57Turns
  • 46Tool calls
  • $1.74Cost
  • 21.3mTime
  • 64kOutput tokens

Missed 7 of 15 core — sushi_route, traffic_profit and execution and 4 more, plus 1 secondary.

core (15)

  • sushi_routeLLMFail
    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

    Failure mode Allocation or Selection Plan Incorrect

    Why it failed

    The memo never sets Spicy Tuna Sushi Roll to the required single controlled-test facing in Metro Core, either leaving the buyer proposal's 2 facings unchanged or rejecting sushi from Metro Core entirely.

    Justification

    The memo explicitly states 'Do not release Sushi into any cluster in the first four weeks' and 'REJECT / DEFER | Spicy Tuna Sushi — all clusters.' While it does note COM/CAM are outside the signed Sakura route, it does not recommend adding sushi only in Metro Core at one facing or a controlled test-facing, which the rubric requires.

  • 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

    Protein Snack Box is clearly protected with 2 facings in every cluster and support from pilot performance/low waste, five-day code, and signed scan allowance. But the memo does not explicitly identify Chicken Caesar Wrap as a priority item or say its space is protected because it is a core lunch traffic driver with OOS pressure; it only lists Chicken Caesar in the assortments and generally says it preserves the 'high-performing lunch core.'

  • 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 cluster-level assortments and final slot counts, but the required outcomes are not met: MET shows 9.0 final slots and no Sushi (rubric requires 12.0 with Spicy Tuna Sushi Roll 1); COM and CAM show 9.0 final slots instead of 10.0; CAM omits Hummus 1; and HWY/RUR assign Protein Snack Box 2 instead of 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 Final Decisions sheet has multiple material facing mismatches versus the rubric: Chicken Caesar Wrap (GGS-84QJ) is 2/1/2/1/1 instead of 2/2/2/2/2; Southwest Chicken Bowl (GGS-9PQL) is 1 in Metro instead of 2; Protein Snack Box (GGS-6BGH) is 2 in Highway and Rural instead of 1/1; and Spicy Tuna Sushi Roll (GGS-8XUY) is 0 in Metro instead of the required 1 (while 0 elsewhere). This also violates the explicit fail conditions for Chicken Caesar below 2 and Sushi lacking the Metro facing.

  • 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 provided text does not include the required per-cluster capacity reconciliation table with live capacity, proposal tray slots, final tray slots, variance, and pass/fail/over-under indicators; it only gives an overall summary ('49.0 vs 47.0' and overfills by 0.5) plus source tables. It also does not match the required final uses: the visible Final Decisions sum to MET 9.0, COM 9.0, CAM 9.0, HWY 7.5, and RUR 6.0 tray slots, not the required 12.0, 10.0, 10.0, 7.5, and 6.0.

  • dropsLLMPass
    Why it matters

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

    How to pass

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

    Reads

  • vegetarian_roleLLMFail
    Why it matters

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

    How to pass

    Checks whether the workbook handles Caprese and Hummus distribution correctly.

    Reads

    Failure mode Eligibility or Controlling Rule Applied Incorrectly

    Why it failed

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

    Justification

    The workbook limits Caprese to Metro and Campus and rejects it in COM/HWY/RUR, but it does not retain Hummus in Campus / Hospital. Executive Summary says 'Use Caprese in MET/CAM and Hummus in COM/HWY/RUR,' and Final Decisions shows CAM|GGS-5MTC with Final Action 'Remove' and Final Facings 0. Since the rubric requires Hummus to be retained in COM, CAM, HWY, and RUR, it fails.

  • vendor_termsLLMPass
    Why it matters

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

    How to pass

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

    Reads

  • calculationsLLMFail
    Why it matters

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

    How to pass

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

    Reads

    Failure mode Required Evidence Fields or Rows Omitted

    Why it failed

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

    Justification

    Visible sheets contain inputs (final facings, POS net sales/waste/OOS, price/cost, scan/shrink terms) and a numeric reconciliation (47 live vs 49 proposal vs 40.5 final; sushi 3.15 units/store/week). However, the extract never shows the referenced Item Economics/dedicated economics sheet or any SKU-cluster row with explicit gross margin and net contribution/margin-after-waste; the GP figures shown are only portfolio totals. Therefore the workbook does not visibly satisfy all required auditable economics fields.

secondary (3)

  • capacity_disciplineLLMPass
    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

  • proposal_reconciliationLLMFail
    Why it matters

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

    How to pass

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

    Reads

    Failure mode Allocation or Selection Plan Incorrect

    Why it failed

    Metro Core sushi is reconciled down to zero final facings instead of the required one facing.

    Justification

    The workbook does include a Proposal Reconciliation with buyer proposal fields, final action/facings, and statuses (Accept/Reject/Change), and it shows Egg Salad and Turkey Cranberry removed across clusters, Protein Snack Box ranged in every cluster, and Caprese only in MET and CAM. But it does not show the required Metro Core sushi reduction to 1 facing: MET|GGS-8XUY is reconciled from proposal Add 2 facings to final Remove 0 / Reject, and the Executive Summary also says to reject/defer sushi in all clusters.

  • 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.docx16 KB

Merchant Decision Memo

Refrigerated Grab-and-Go Case — July Reset, First Four Weeks

<w:tab w:val="right" w:pos="9360"/></w:tabs><w:spacing w:after="30"/><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:color w:val="17365D"/><w:sz w:val="20"/><w:szCs w:val="20"/></w:rPr><w:t xml:space="preserve">To: L. Moreno, Senior Merchant — Prepared Foods Date: June 2026

<w:tab w:val="right" w:pos="9360"/></w:tabs><w:spacing w:after="170"/><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:color w:val="17365D"/><w:sz w:val="20"/><w:szCs w:val="20"/></w:rPr><w:t xml:space="preserve">From: Category Planning Decision: Approve with changes

Decision

Release the reset only with the revised cluster sets below. The recommendation preserves the high-performing lunch core and Protein Snack Box, uses Caprese only where its internal pilot and route fit are clean, retains Hummus where it is the safer vegetarian answer, and defers Sushi for all four weeks.

What changes from the buyer proposal

Decision

Cluster / Item

Merchant rationale

ACCEPT

Protein Snack Box — 2 facings in MET, COM, CAM, HWY, and RUR

The five-day item is on existing Urban Spoon routes in all clusters. Internal pilot waste is 2.6% to 7.8%, and the first-six-week scan allowance is within its signed cap.

CHANGE

Caprese only in MET and CAM; retain Hummus in COM, HWY, and RUR

MET/CAM Caprese pilots support the premium vegetarian trade-up and have 5 delivery days. COM Hummus outperformed Caprese on both sales and waste. HWY/RUR cannot receive Caprese under the signed GreenFork route terms.

REJECT / DEFER

Spicy Tuna Sushi — all clusters

COM/CAM are outside the signed Sakura route. Even in Metro, the 3.15-unit/store/week pilot does not support a one-day item requiring daily handling in a 12-unit case pack; a shrink credit is not a demand signal.

REJECT

Turkey Cranberry and Egg Salad — all clusters; Rural Southwest

Turkey Cranberry is a winter seasonal with no authorized Q3 return/billback. Egg Salad is low-repeat, shrink-heavy, and cannot be the sole vegetarian answer. Rural Southwest is low-volume and has 19.3% waste.

Decision basis

Internal POS, waste, and inventory records—not supplier projections or buyer comments—are the demand signal. The analysis normalizes all eight weeks of records by ranged store-weeks.

Signed offer letters govern credits, route eligibility, and launch support. No extra tray capacity, driver stops, vendor credits, or substitute items are assumed.

The live case may retain intentional slack. A weak or out-of-route item is not added merely to fill an open tray.

Final cluster-level assortment

Use these as the Space Planning and field handoff. Facings are full facings; tray slots are taken directly from the item master.

Cl.

Full-facing assortment

Slots

Cap.

Gap

Veg.

MET

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

9.0

12.0

3.0

Caprese

COM

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

9.0

10.0

1.0

Hummus

CAM

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

9.0

10.0

1.0

Caprese

HWY

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

7.5

8.0

0.5

Hummus*

RUR

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

6.0

7.0

1.0

Hummus*

* HWY and RUR Hummus is a required one-facing vegetarian exception. Both clusters are below four delivery days, so the signed GreenFork shrink credit does not apply.

Capacity reconciliation

Cluster

Proposal Slots

Live Slots

Proposal Variance

Final Slots

Final Spare / (Over)

MET

12.0

12.0

0.0

9.0

3.0

COM

10.5

10.0

(0.5)

9.0

1.0

CAM

10.5

10.0

(0.5)

9.0

1.0

HWY

8.5

8.0

(0.5)

7.5

0.5

RUR

7.5

7.0

(0.5)

6.0

1.0

The buyer proposal totals 49.0 trays versus 47.0 live trays and overfills COM, CAM, HWY, and RUR. The final set uses 40.5 trays; all five clusters pass full-facing and vegetarian checks.

Space Planning and field release controls

Build only the listed full facings. Do not use a partial facing to consume the 0.5-slot gaps, and do not backfill slack with Egg Salad or Turkey Cranberry.

Do not range Caprese in Highway / Travel or Rural North. No signed route addendum exists. Keep Hummus to one full facing in HWY/RUR and make the no-credit condition visible to field teams.

Do not release Sushi into any cluster in the first four weeks. No additional driver stop, lower case-pack handling, or daily holding process is assumed.

Economics and risk controls

Selected portfolio run-rate: $6,263 weekly base gross profit and $25,054 over four weeks before conditional signed support. Potential signed credits and scan support add $155 per week / $621 over four weeks, yielding $25,675 if all eligibility conditions are met.

Cluster

Weekly Base GP

Potential Signed Support

Weekly GP incl. Support

Weekly Waste Units

MET

$1,631.94

$53.76

$1,685.70

24.8

COM

$2,113.31

$39.70

$2,153.01

33.0

CAM

$1,103.26

$38.38

$1,141.64

15.8

HWY

$869.50

$14.31

$883.81

17.8

RUR

$545.45

$9.04

$554.49

12.7

TOTAL

$6,263.46

$155.18

$6,418.64

104.0

The economics use sales and waste at observed internal run-rate by cluster; facings are capacity controls, not a forecast multiplier. The workbook separates base gross profit from potential signed support so the launch allowance is not treated as proof of demand.

Signed support and shrink exposure

Caprese: selected MET/CAM run-rate equates to about 373 four-week scans, only 6.8% of the 5,500-unit cap. The $0.40 allowance applies only to receipts dated July 13-August 9; do not book it outside that window.

Protein Snack Box: selected run-rate equates to about 1,214 four-week scans, 15.2% of the 8,000-unit cap. It has no shrink credit, so the low observed waste and five-day code—not the allowance—support the item.

Hummus: COM earns the signed 30% documented-waste credit at four delivery days. HWY and RUR earn no credit; their retain decision is a constrained vegetarian-coverage exception, not a growth bet.

Highest execution risks

Risk

Required field response

Sushi shrink / route

Keep out of the reset. The signed M-11 daily route does not make a 12-unit, one-day case pack viable at the observed Metro pilot sell-through. Do not use the 50% credit to justify launch.

Vegetarian execution

MERCH: Caprese in MET/CAM; Hummus in COM/HWY/RUR. Do not reintroduce Egg Salad as the vegetarian answer; its spring allergy complaints and weak repeat make it an unacceptable fallback.

Low-touch clusters

In HWY/RUR, preserve slack rather than add Cobb, Turkey Cranberry, Egg Salad, or Rural Southwest. The smaller, cleaner set reduces recovery and over-order risk.

Claims / launch support

Only claim GreenFork credits with documented waste in eligible delivery-frequency stores, and only claim Caprese scan support for the signed receipt window. Do not assume credits in HWY/RUR.

Release recommendation: Approve the revised set for Space Planning and field operations. The supporting workbook contains the SKU-level final decision, proposal reconciliation, capacity check, signed-support cap test, and normalized internal economics.

User prompt → 57 turns · 46 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 provided handoff, internal performance records, and signed vendor terms, then produce a merchant-ready m…

    I’ll review the provided handoff, internal performance records, and signed vendor terms, then produce a merchant-ready memo and a traceable decision workbook. I’m using the Word-document and spreadsheet skills because both requested deliverables need to be created and validated in their native formats.

  7. 7Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({"cmd":"pwd && rg --files -g '!*~' -g '!output/**' | sed -n '1,240p'","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":20000});
text(r.output);

    Output

    Script completed
Wall time 0.1 seconds
Output:

/workspace
data/weekly_pos_inventory_waste.csv
data/store_cluster_capacity.csv
data/signed_vendor_offer_letters.pdf
data/merchant_handoff_prepared_foods.docx
data/item_master_unit_economics.csv
data/buyer_reset_proposal.csv
  8. 8The signed vendor terms are in PDF form, so I’ll also use the PDF workflow to extract and verify those terms before maki…

    The signed vendor terms are in PDF form, so I’ll also use the PDF workflow to extract and verify those terms before making any decisions.

  9. 9Shell1

    Tool execution only — no assistant text

    Shellvia exec29k chars

    Arguments

    const r = await tools.exec_command({"cmd":"wc -l /root/.agents/skills/docx/SKILL.md /root/.agents/skills/xlsx/SKILL.md /root/.agents/skills/pdf/SKILL.md && sed -n '1,260p' /root/.agents/skills/docx/SKILL.md && sed -n '1,300p' /root/.agents/skills/xlsx/SKILL.md && sed -n '1,300p' /root/.agents/skills/pdf/SKILL.md","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":50000});
text(r.output);

    Output

    Script completed
Wall time 0.1 seconds
Output:

  590 /root/.agents/skills/docx/SKILL.md
  291 /root/.agents/skills/xlsx/SKILL.md
  314 /root/.agents/skills/pdf/SKILL.md
 1195 total
---
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 PDF

    … 28,187 more characters of output in the raw trajectory.

  10. 10Shell1

    Tool execution only — no assistant text

    Shellvia exec12k chars

    Arguments

    const r = await tools.exec_command({"cmd":"sed -n '261,620p' /root/.agents/skills/docx/SKILL.md && sed -n '301,360p' /root/.agents/skills/pdf/SKILL.md","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":50000});
text(r.output);

    Output

    Script completed
Wall time 0.1 seconds
Output:

  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: {
    1: { children: [new Paragraph("Source: Annual Report 2024")] },
    2: { children: [new Paragraph("See appendix for methodology")] },
  },
  sections: [{
    children: [new Paragraph({
      children: [
        new TextRun("Revenue grew 15%"),
        new FootnoteReferenceRun(1),
        new TextRun(" using adjusted metrics"),
        new FootnoteReferenceRun(2),
      ],
    })]
  }]
});
```

### Tab Stops

```javascript
// Right-align text on same line (e.g., date opposite a title)
new Paragraph({
  children: [

    … 11,084 more characters of output in the raw trajectory.

  11. 11exec1

    Tool execution only — no assistant text

    execconst result = await tools.update_plan({ plan: [ { step: "Extract authoritative rules, vendor terms, and source data", status: "in_progress" }, { step: "Analyze item economics, capacity, and proposal conflicts", status: "pending" }, { step: "Build and validate the supporting decision workbook", status: "pending" }, { step: "Draft and validate the merchant-facing memo", status: "pending" } ] }); text(typeof result === "string" ? result : JSON.stringify(result));

    Arguments

    const result = await tools.update_plan({
  plan: [
    { step: "Extract authoritative rules, vendor terms, and source data", status: "in_progress" },
    { step: "Analyze item economics, capacity, and proposal conflicts", status: "pending" },
    { step: "Build and validate the supporting decision workbook", status: "pending" },
    { step: "Draft and validate the merchant-facing memo", status: "pending" }
  ]
});
text(typeof result === "string" ? result : JSON.stringify(result));

    Output

    Script completed
Wall time 0.0 seconds
Output:

{}
  12. 12Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({"cmd":"pandoc data/merchant_handoff_prepared_foods.docx -t plain","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":30000});
text(r.output);

    Output

    Script completed
Wall time 0.2 seconds
Output:

/bin/bash: line 1: pandoc: command not found
  13. 13Shell1

    Tool execution only — no assistant text

    Shellvia exec4k chars

    Arguments

    const r = await tools.exec_command({"cmd":"python - <<'PY'\nfrom docx import Document\np='data/merchant_handoff_prepared_foods.docx'\ndoc=Document(p)\nfor i, para in enumerate(doc.paragraphs, 1):\n    text=para.text.strip()\n    if text:\n        print(f'P{i}: {text}')\nfor ti, table in enumerate(doc.tables, 1):\n    print(f'\\nTABLE {ti}')\n    for row in table.rows:\n        print(' | '.join(cell.text.replace('\\n', ' / ').strip() for cell in row.cells))\nPY","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":30000});
text(r.output);

    Output

    Script completed
Wall time 0.4 seconds
Output:

P1: Prepared Foods Reset Handoff
P2: Blue Mesa Market - Q3 2026 refrigerated grab-and-go case
P3: From: L. Moreno, Senior Merchant - Prepared Foods
P4: To: Category Planning / Space Planning
P5: Date: June 10, 2026
P6: 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: Decision rules for this reset
P8: Fit the first four weeks of the July reset into the live refrigerated case. Do not assume the September lease-line change, extra trays, or extra driver stops will materialize.
P9: Treat

    … 2,545 more characters of output in the raw trajectory.

  14. 14Shell1

    Tool execution only — no assistant text

    Shellvia exec4k chars

    Arguments

    const r = await tools.exec_command({"cmd":"pdfinfo data/signed_vendor_offer_letters.pdf && pdftotext -layout data/signed_vendor_offer_letters.pdf -","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":40000});
text(r.output);

    Output

    Script completed
Wall time 0.2 seconds
Output:

Title:           (anonymous)
Subject:         (unspecified)
Keywords:        
Author:          (anonymous)
Creator:         (unspecified)
Producer:        ReportLab PDF Library - (opensource)
CreationDate:    Tue Jun 23 01:01:37 2026 UTC
ModDate:         Tue Jun 23 01:01:37 2026 UTC
Custom Metadata: no
Metadata Stream: no
Tagged:          no
UserProperties:  no
Suspects:        no
Form:            none
JavaScript:      no
Pages:           2
Encrypted:       no
Page size:       612 x 792 pts (letter)
Page rot:        0
File size:       4796 bytes
Optimized:       no
PDF version:     1.4
        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                      Si

    … 2,896 more characters of output in the raw trajectory.

  15. 15Shell1

    Tool execution only — no assistant text

    Shellvia exec40k chars

    Arguments

    const r = await tools.exec_command({"cmd":"python - <<'PY'\nimport pandas as pd\nfrom pathlib import Path\nfor p in sorted(Path('data').glob('*.csv')):\n    df=pd.read_csv(p)\n    print(f'FILE: {p.name} | rows={len(df)} | columns={list(df.columns)}')\n    print(df.to_string(index=False))\n    print()\nPY","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":60000});
text(r.output);

    Output

    Script completed
Wall time 1.4 seconds
Output:

Warning: truncated output (original token count: 22260)
Total output lines: 445

FILE: buyer_reset_proposal.csv | rows=50 | columns=['proposal_date', 'cluster_code', 'cluster_name', 'sku', 'item', 'proposed_action', 'proposed_facings', 'buyer_comment', 'supplier_projection_units_per_store_week']
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 San

    … 39,421 more characters of output in the raw trajectory.

  16. 16I’ve confirmed the governing rules: the first four weeks use current tray capacity and delivery cadence, internal record…

    I’ve confirmed the governing rules: the first four weeks use current tray capacity and delivery cadence, internal records drive demand, and signed letters override proposal notes. I’m now normalizing the eight weeks of POS/waste data by ranged store so pilot results can be compared fairly with the current set.

  17. 17Shell1

    Tool execution only — no assistant text

    Shellvia exec9k chars

    Arguments

    const r = await tools.exec_command({"cmd":"python - <<'PY'\nimport pandas as pd\npos=pd.read_csv('data/weekly_pos_inventory_waste.csv')\nmaster=pd.read_csv('data/item_master_unit_economics.csv')\n# Normalize across the 8 observation weeks and only stores actually ranged in the record.\na=(pos.groupby(['cluster_code','cluster_name','sku','item','range_type'],as_index=False)\n       .agg(weeks=('week_start','nunique'),ranged_store_weeks=('stores_ranged','sum'),sales=('net_sales_units','sum'),waste=('waste_units','sum'),oos=('oos_store_days','sum'),receipts=('receipts_units','s

    … 911 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 0.8 seconds
Output:

cluster_code      sku                      item       range_type  sales_per_ranged_store_wk  waste_per_ranged_store_wk  waste_rate  oos_days_per_ranged_store_wk  base_gp_per_ranged_store_wk
         CAM GGS-1KFV       Egg Salad Croissant      Current set                      1.568                      0.364       0.188                         0.052                        4.205
         CAM GGS-2VWK      Turkey Club Sandwich      Current set                      3.477                      0.193       0.053                         0.052                       12.878
         CAM GGS-3RZA          Caprese Ciabatta Controlled pilot                      3.300                      0.225       0.064                         0.042                       12.140
         CAM GGS-4HBP Turkey Cranberry Sandwich      Current set                      0.693                      0.20

    … 8,099 more characters of output in the raw trajectory.

  18. 18Shell1

    Tool execution only — no assistant text

    Shellvia exec5k chars

    Arguments

    const r = await tools.exec_command({"cmd":"python - <<'PY'\nimport pandas as pd\npos=pd.read_csv('data/weekly_pos_inventory_waste.csv')\nmaster=pd.read_csv('data/item_master_unit_economics.csv')\ncap=pd.read_csv('data/store_cluster_capacity.csv')\nfinal={\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','GGS-6BGH'],\n'HWY':['GGS-84QJ','GGS-2VWK','GGS-9PQL','GGS-5MTC','GGS-6BGH'],\n'RUR':['GGS-84QJ','GGS-2VWK

    … 2,601 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 0.9 seconds
Output:

FINAL RUN-RATE BY CLUSTER (all figures are estimated weekly from normalized internal records)

 MET
     sku                   item  sales_psw  waste_psw  base_gp_psw  gp_signed_support_psw  base_gp_cluster  support_gp_cluster
GGS-2VWK   Turkey Club Sandwich       3.09       0.12        11.57                  11.57           208.22              208.22
GGS-3RZA       Caprese Ciabatta       3.17       0.29        11.41                  12.95           205.46              233.14
GGS-6BGH      Protein Snack Box       4.14       0.11        15.61                  17.06           280.94              307.02
GGS-7DNL             Cobb Salad       3.02       0.24        13.51                  13.51           243.09              243.09
GGS-84QJ    Chicken Caesar Wrap       5.50       0.28        19.18                  19.18           345.19              345.19
GGS-9PQL S

    … 4,156 more characters of output in the raw trajectory.

  19. 19Shell1

    Tool execution only — no assistant text

    Shellvia exec2k chars

    Arguments

    const r = await tools.exec_command({"cmd":"python - <<'PY'\nimport pandas as pd\npos=pd.read_csv('data/weekly_pos_inventory_waste.csv')\nmaster=pd.read_csv('data/item_master_unit_economics.csv')\ncap=pd.read_csv('data/store_cluster_capacity.csv')\nprop=pd.read_csv('data/buyer_reset_proposal.csv')\nfinal={\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','GGS-6BGH'],\n'HWY':['GGS-84QJ','GGS-2VWK','GGS-9PQL','

    … 1,685 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 0.8 seconds
Output:

<stdin>:20: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`
COMPARISON; historical performance normalized by store count; facings do not scale sales forecast
MET [('Proposal', np.float64(1925.82), np.float64(478.5), np.float64(31.5), 'GGS-2VWK,GGS-3RZA,GGS-6BGH,GGS-7DNL,GGS-84QJ,GGS-8XUY,GGS-9PQL'), ('Final', np.float64(1631.94), np.float64(421.8), np.float64(24.8), 'GGS-2VWK,GGS-3RZA,GGS-6BGH,GGS-7DNL,GGS-84QJ,GGS-9PQL')]
COM [('Proposal', np.float64(2189.0), np.float64(575.4), np.float64(51.1), 'GGS-2VWK,GGS-3RZA,GGS-6BGH,GGS-7DNL,GGS-84QJ,GGS-8XUY,GGS-9PQL'), ('Final', np.float64(2113.31), np.float64(555.4), np.float64(33.0), 'GGS-2VWK,GGS-5MTC,GGS-6B

    … 883 more characters of output in the raw trajectory.

  20. 20Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({"cmd":"rg --files /root/.agents/skills /tmp/codex-home/skills 2>/dev/null | rg '(^|/)(recalc\\.py|validate\\.py|soffice\\.py)$'","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":20000});
text(r.output);

    Output

    Script completed
Wall time 0.1 seconds
Output:

/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/docx/scripts/office/validate.py
  21. 21exec1

    Tool execution only — no assistant text

    execconst result = await tools.update_plan({ explanation: "Authoritative source extraction is complete. The revised assortment is being translated into the capacity and economics model.", plan: [ { step: "Extract authoritative rules, vendor terms, and source data", status: "completed" }, { step: "Analyze item economics, capacity, and proposal conflicts", status: "in_progress" }, { step: "Build and validate the supporting decision workbook", status: "pending" }, { step: "Draft and validate the merchant-facing memo", status: "pending" } ] });

    Arguments

    const result = await tools.update_plan({
  explanation: "Authoritative source extraction is complete. The revised assortment is being translated into the capacity and economics model.",
  plan: [
    { step: "Extract authoritative rules, vendor terms, and source data", status: "completed" },
    { step: "Analyze item economics, capacity, and proposal conflicts", status: "in_progress" },
    { step: "Build and validate the supporting decision workbook", status: "pending" },
    { step: "Draft and validate the merchant-facing memo", status: "pending" }
  ]
});

    … 75 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 0.0 seconds
Output:

{}
  22. 22Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({"cmd":"python - <<'PY'\nimport openpyxl\nprint('openpyxl', openpyxl.__version__)\nPY\nnode -e \"console.log(require.resolve('docx'))\"","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":20000});
text(r.output);

    Output

    Script completed
Wall time 0.8 seconds
Output:

openpyxl 3.1.5
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
  23. 23Shell1

    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":20000});
text(r.output);

    Output

    Script completed
Wall time 1.7 seconds
Output:


added 22 packages in 2s

1 package is looking for funding
  run `npm fund` for details
  24. 24exec1

    Tool execution only — no assistant text

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

    Arguments

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

    … 52,561 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 0.0 seconds
Output:

{}
  25. 25Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({"cmd":"python build_reset_workbook.py","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":50000});
text(r.output);

    Output

    Script completed
Wall time 1.6 seconds
Output:

Traceback (most recent call last):
  File "/workspace/build_reset_workbook.py", line 696, in <module>
    main()
  File "/workspace/build_reset_workbook.py", line 440, in main
    econ.cell(r_idx, 6, first_type[(cluster, sku)])
                        ~~~~~~~~~~^^^^^^^^^^^^^^^^
KeyError: ('HWY', 'GGS-3RZA')
  26. 26exec1

    Tool execution only — no assistant text

    execconst patch = "*** Begin Patch\n*** Update File: build_reset_workbook.py\n@@\n- econ.cell(r_idx, 6, first_type[(cluster, sku)])\n+ econ.cell(r_idx, 6, first_type.get((cluster, sku), \"No internal range / pilot\"))\n*** End Patch"; const result = await tools.apply_patch(patch); text(typeof result === "string" ? result : JSON.stringify(result));

    Arguments

    const patch = "*** Begin Patch\n*** Update File: build_reset_workbook.py\n@@\n-        econ.cell(r_idx, 6, first_type[(cluster, sku)])\n+        econ.cell(r_idx, 6, first_type.get((cluster, sku), \"No internal range / pilot\"))\n*** End Patch";
const result = await tools.apply_patch(patch);
text(typeof result === "string" ? result : JSON.stringify(result));

    Output

    Script completed
Wall time 0.0 seconds
Output:

{}
  27. 27Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({"cmd":"python build_reset_workbook.py","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":50000});
text(r.output);

    Output

    Script completed
Wall time 1.6 seconds
Output:

/workspace/output/reset_decision_workbook.xlsx
  28. 28The revised set is now modeled. The main changes are selective Caprese (Metro/Campus only), Hummus retained where it is…

    The revised set is now modeled. The main changes are selective Caprese (Metro/Campus only), Hummus retained where it is the safer vegetarian choice, Protein added, and Sushi deferred because the signed one-day/daily/12-pack handling does not fit the observed pilot run rate.

  29. 29Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({"cmd":"python /root/.agents/skills/xlsx/scripts/recalc.py output/reset_decision_workbook.xlsx 60","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":50000});
text(r.output);

    Output

    Script completed
Wall time 3.4 seconds
Output:

status: success
total_errors: 0
error_summary: {}
total_formulas: 3139
  30. 30Shell1

    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='output/reset_decision_workbook.xlsx'\nwbv=load_workbook(p, data_only=True)\nfor sh in ['Executive Summary','Capacity Check','Support Check']:\n    ws=wbv[sh]\n    print('\\n',sh)\n    for row in ws.iter_rows(min_row=1,max_row=min(ws.max_row,30),values_only=True):\n        vals=[v for v in row if v is not None]\n        if vals:\n            print(vals[:10])\nprint('\\nFinal decisions selected:')\nws=wbv['Final Decisions']\nfor r in range(5,55):\n    if ws.cell(r,11)

    … 360 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 0.8 seconds
Output:


 Executive Summary
['Blue Mesa Market — Refrigerated Grab-and-Go July Reset']
['First four weeks | Merchant decision workbook | 84-store prepared-foods case']
['Recommended decision']
['Approve with changes: retain proven core lunch items; add Protein Snack Box; use Caprese only in Metro and Campus; retain Hummus where it is the cleaner/required vegetarian option; reject Sushi, Turkey Cranberry, Egg Salad, and Rural Southwest.']
['Portfolio economics (internal run-rate; selected items)', 'Capacity reconciliation']
['Weekly base gross profit', 6263.464, 'Live tray slots', 47]
['Potential signed credits + scan support / week', 155.17675, 'Proposal tray slots', 49]
['Weekly GP incl. potential signed support', 6418.64075, 'Final tray slots', 40.5]
['Four-week GP incl. potential signed support', 25674.563, 'Final unassigned slots', 6.5]
['Highest-risk proposal c

    … 4,071 more characters of output in the raw trajectory.

  31. 31Shell1

    Tool execution only — no assistant text

    Shellvia exec1k chars

    Arguments

    const r = await tools.exec_command({"cmd":"python - <<'PY'\nfrom openpyxl import load_workbook\nws=load_workbook('output/reset_decision_workbook.xlsx',data_only=True)['Capacity Check']\nfor r in range(5,10): print([ws.cell(r,c).value for c in range(1,16)])\nPY","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":20000});
text(r.output);

    Output

    Script completed
Wall time 0.8 seconds
Output:

['MET', 'Metro Core', 18, 5, 12, 12, 0, 9, 3, 'PASS', 'PASS', 'None', 'PASS — not ranged', 'PASS', '3.0 slots intentionally unfilled after sushi deferral. Do not backfill with Egg Salad or Turkey Cranberry.']
['COM', 'Commuter Suburban', 26, 4, 10, 10.5, -0.5, 9, 1, 'PASS', 'PASS', 'None', 'PASS — not ranged', 'PASS', '1.0 slot unfilled. Retain Hummus instead of the weaker Caprese pilot; no sushi outside M-11 terms.']
['CAM', 'Campus / Hospital', 11, 5, 10, 10.5, -0.5, 9, 1, 'PASS', 'PASS', 'None', 'PASS — not ranged', 'PASS', '1.0 slot unfilled after out-of-route sushi is rejected; keep Caprese as the vegetarian lunch option.']
['HWY', 'Highway / Travel', 15, 3, 8, 8.5, -0.5, 7.5, 0.5, 'PASS', 'PASS', '1 vegetarian exception', 'PASS — not ranged', 'PASS', '0.5 slot remains. Hummus is a one-facing vegetarian exception; no signed GreenFork shrink credit below four de

    … 249 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":"NODE_PATH=\"$(npm root -g)\" node -e \"console.log(require.resolve('docx'))\"","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":20000});
text(r.output);

    Output

    Script completed
Wall time 0.2 seconds
Output:

/root/.nvm/versions/node/v22.23.2/lib/node_modules/docx/dist/index.cjs
  33. 33exec1

    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,\n+ BorderStyle,\n+ Document,\n+ Footer,\n+ Header,\n+ LevelFormat,\n+ PageBreak,\n+ PageNumber,\n+ Packer,\n+ Paragraph,\n+ ShadingType,\n+ Table,\n+ TableCell,\n+ TableLayoutType,\n+ TableRow,\n+ TextRun,\n+ VerticalAlign,\n+ WidthType,\n+} = require(\"docx\");\n+\n+const OUT = \"/workspace/output/grab_go_reset_memo.docx\";\n+const NAVY = \"17365D\";\n+const BLUE = \"1F4E78\";\n+const PALE_BLUE =

    Arguments

    const patch = "*** Begin Patch\n*** Add File: build_reset_memo.js\n+const fs = require(\"fs\");\n+const {\n+  AlignmentType,\n+  BorderStyle,\n+  Document,\n+  Footer,\n+  Header,\n+  LevelFormat,\n+  PageBreak,\n+  PageNumber,\n+  Packer,\n+  Paragraph,\n+  ShadingType,\n+  Table,\n+  TableCell,\n+  TableLayoutType,\n+  TableRow,\n+  TextRun,\n+  VerticalAlign,\n+  WidthType,\n+} = require(\"docx\");\n+\n+const OUT = \"/workspace/output/grab_go_reset_memo.docx\";\n+const NAVY = \"17365D\";\n+const BLUE = \"1F4E78\";\n+const PALE_BLUE =

    … 18,388 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 0.0 seconds
Output:

{}
  34. 34Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({"cmd":"NODE_PATH=\"$(npm root -g)\" node build_reset_memo.js && ls -l output/grab_go_reset_memo.docx","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":30000});
text(r.output);

    Output

    Script completed
Wall time 0.4 seconds
Output:

-rw-r--r-- 1 root root 16687 Aug 20 01:22 output/grab_go_reset_memo.docx
  35. 35Shell1

    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 output/grab_go_reset_memo.docx","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":50000});
text(r.output);

    Output

    Script completed
Wall time 1.3 seconds
Output:


Paragraphs: 0 → 163 (+163)
All validations PASSED!
  36. 36Shell1

    Tool execution only — no assistant text

    Shellvia exec12k chars

    Arguments

    const r = await tools.exec_command({"cmd":"python /root/.agents/skills/docx/scripts/office/soffice.py --help","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":20000});
text(r.output);

    Output

    Script completed
Wall time 0.4 seconds
Output:

LibreOffice 25.2.3.2 520(Build:2)

Usage: soffice [argument...]
       argument - switches, switch parameters and document URIs (filenames).   

Using without special arguments:                                               
Opens the start center, if it is used without any arguments.                   
   {file}              Tries to open the file (files) in the components        
                       suitable for them.                                      
   {file} {macro:///Library.Module.MacroName}                                  
                       Opens the file and runs specified macro from            
                       My Macros container.                                    
   {file} {macro://./Library.Module.MacroName}                                 
                       Opens the file and runs specified macro from

    … 10,939 more characters of output in the raw trajectory.

  37. 37Shell1

    Tool execution only — no assistant text

    Shellvia exec5k chars

    Arguments

    const r = await tools.exec_command({"cmd":"mkdir -p /tmp/grab_go_memo_visual && python /root/.agents/skills/docx/scripts/office/soffice.py --headless --convert-to pdf --outdir /tmp/grab_go_memo_visual output/grab_go_reset_memo.docx && pdfinfo /tmp/grab_go_memo_visual/grab_go_reset_memo.pdf | rg 'Pages|Page size' && pdftotext /tmp/grab_go_memo_visual/grab_go_reset_memo.pdf - | sed -n '1,260p' && pdftoppm -png -r 120 /tmp/grab_go_memo_visual/grab_go_reset_memo.pdf /tmp/grab_go_memo_visual/page","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":50000});
text(

    … 14 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 2.2 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_memo_visual/grab_go_reset_memo.pdf using filter : writer_pdf_Export
Pages:           3
Page size:       612 x 792 pts (letter)
BLUE MESA MARKET

Prepared Foods | July 2026 Reset

Merchant Decision Memo
Refrigerated Grab-and-Go Case — July Reset, First Four Weeks
To: L. Moreno, Senior Merchant — Prepared Foods
From: Category Planning

Recommendati
on

Date: June 2026
Decision: Approve with changes

Release the reset only with the revised cluster sets below. The
recommendation preserves the high-performing lunch core and Protein
Snack Box, uses Caprese only where its internal pilot and route fit are
clean, retains Hummus where it is the safer vegetarian answer, and defers
Sushi for all four weeks

    … 3,557 more characters of output in the raw trajectory.

  38. 38Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({"cmd":"rg --files /tmp/grab_go_memo_visual | sort","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":20000});
text(r.output);

    Output

    Script completed
Wall time 0.1 seconds
Output:

/tmp/grab_go_memo_visual/grab_go_reset_memo.pdf
/tmp/grab_go_memo_visual/page-1.png
/tmp/grab_go_memo_visual/page-2.png
/tmp/grab_go_memo_visual/page-3.png
  39. 39exec1

    Tool execution only — no assistant text

    execconst r = await tools.view_image({"path":"/tmp/grab_go_memo_visual/page-1.png","detail":"high"}); image(r.image_url);327k chars

    Arguments

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

    Output

    Script completed
Wall time 0.0 seconds
Output:

    … 325,912 more characters of output in the raw trajectory.

  40. 40exec1

    Tool execution only — no assistant text

    execconst r = await tools.view_image({"path":"/tmp/grab_go_memo_visual/page-2.png","detail":"high"}); image(r.image_url);305k chars

    Arguments

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

    Output

    Script completed
Wall time 0.0 seconds
Output:

    … 303,992 more characters of output in the raw trajectory.

  41. 41exec1

    Tool execution only — no assistant text

    execconst r = await tools.view_image({"path":"/tmp/grab_go_memo_visual/page-3.png","detail":"high"}); image(r.image_url);396k chars

    Arguments

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

    Output

    Script completed
Wall time 0.0 seconds
Output:

    … 395,000 more characters of output in the raw trajectory.

  42. 42exec1

    Tool execution only — no assistant text

    execconst patch = "*** Begin Patch\n*** Update File: build_reset_memo.js\n@@\n- columnWidths: [1800, 7560],\n+ columnWidths: [1500, 7860],\n@@\n- cell(\"Recommendation\", 1800, { header: true, fontSize: 18 }),\n- cell(\"Release the reset only with the revised cluster sets below. The recommendation preserves the high-performing lunch core and Protein Snack Box, uses Caprese only where its internal pilot and route fit are clean, retains Hummus where it is the safer vegetarian answer, and defers Sushi for all four weeks.\", 7560, { fill: PALE_

    Arguments

    const patch = "*** Begin Patch\n*** Update File: build_reset_memo.js\n@@\n-        columnWidths: [1800, 7560],\n+        columnWidths: [1500, 7860],\n@@\n-          cell(\"Recommendation\", 1800, { header: true, fontSize: 18 }),\n-          cell(\"Release the reset only with the revised cluster sets below. The recommendation preserves the high-performing lunch core and Protein Snack Box, uses Caprese only where its internal pilot and route fit are clean, retains Hummus where it is the safer vegetarian answer, and defers Sushi for all four weeks.\", 7560, { fill: PALE_

    … 1,346 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 0.0 seconds
Output:

{}
  43. 43Shell1

    Tool execution only — no assistant text

    Shellvia exec1k chars

    Arguments

    const r = await tools.exec_command({"cmd":"NODE_PATH=\"$(npm root -g)\" node build_reset_memo.js && python /root/.agents/skills/docx/scripts/office/validate.py output/grab_go_reset_memo.docx && rm -f /tmp/grab_go_memo_visual/grab_go_reset_memo.pdf /tmp/grab_go_memo_visual/page-*.png && python /root/.agents/skills/docx/scripts/office/soffice.py --headless --convert-to pdf --outdir /tmp/grab_go_memo_visual output/grab_go_reset_memo.docx && pdftoppm -png -r 120 /tmp/grab_go_memo_visual/grab_go_reset_memo.pdf /tmp/grab_go_memo_visual/page","workdir":"/workspace","yield_time_

    … 62 more characters of arguments in the raw trajectory.

    Output

    Script failed
Wall time 0.0 seconds
Output:

Script error:
exec_command failed for `/bin/bash -lc 'NODE_PATH="$(npm root -g)" node build_reset_memo.js && python /root/.agents/skills/docx/scripts/office/validate.py output/grab_go_reset_memo.docx && rm -f /tmp/grab_go_memo_visual/grab_go_reset_memo.pdf /tmp/grab_go_memo_visual/page-*.png && python /root/.agents/skills/docx/scripts/office/soffice.py --headless --convert-to pdf --outdir /tmp/grab_go_memo_visual output/grab_go_reset_memo.docx && pdftoppm -png -r 120 /tmp/grab_go_memo_visual/grab_go_reset_memo.pdf /tmp/grab_go_memo_visual/page'`: CreateProcess { message: "Rejected(\"`/bin/bash -lc 'NODE_PATH=\\\"$(npm root -g)\\\" node build_reset_memo.js && python /root/.agents/skills/docx/scripts/office/validate.py output/grab_go_reset_memo.docx && rm -f /tmp/grab_go_memo_visual/grab_go_reset_memo.pdf /tmp/grab_go_memo_visual/page-*.png && python /root/.agent

    … 318 more characters of output in the raw trajectory.

  44. 44Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({"cmd":"NODE_PATH=\"$(npm root -g)\" node build_reset_memo.js && python /root/.agents/skills/docx/scripts/office/validate.py output/grab_go_reset_memo.docx","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":50000});
text(r.output);

    Output

    Script completed
Wall time 1.5 seconds
Output:


Paragraphs: 0 → 163 (+163)
All validations PASSED!
  45. 45Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({"cmd":"mkdir -p /tmp/grab_go_memo_visual2 && python /root/.agents/skills/docx/scripts/office/soffice.py --headless --convert-to pdf --outdir /tmp/grab_go_memo_visual2 output/grab_go_reset_memo.docx && pdftoppm -png -r 120 /tmp/grab_go_memo_visual2/grab_go_reset_memo.pdf /tmp/grab_go_memo_visual2/page","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":30000});
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/grab_go_reset_memo.docx as a Writer document -> /tmp/grab_go_memo_visual2/grab_go_reset_memo.pdf using filter : writer_pdf_Export
  46. 46exec1

    Tool execution only — no assistant text

    execconst r = await tools.view_image({"path":"/tmp/grab_go_memo_visual2/page-2.png","detail":"high"}); image(r.image_url);301k chars

    Arguments

    const r = await tools.view_image({"path":"/tmp/grab_go_memo_visual2/page-2.png","detail":"high"});
image(r.image_url);

    Output

    Script completed
Wall time 0.0 seconds
Output:

    … 300,136 more characters of output in the raw trajectory.

  47. 47exec1

    Tool execution only — no assistant text

    execconst patch = "*** Begin Patch\n*** Update File: build_reset_memo.js\n@@\n- [\"Cl.\", \"Full-facing assortment\", \"Slots\", \"Cap.\", \"Spare\", \"Veg. lunch\"],\n- [650, 5200, 750, 750, 650, 1360],\n+ [\"Cl.\", \"Full-facing assortment\", \"Slots\", \"Cap.\", \"Open\", \"Veg.\"],\n+ [1000, 5150, 700, 700, 600, 1210],\n*** End Patch"; const result = await tools.apply_patch(patch); text(typeof result === "string" ? result : JSON.stringify(result));

    Arguments

    const patch = "*** Begin Patch\n*** Update File: build_reset_memo.js\n@@\n-        [\"Cl.\", \"Full-facing assortment\", \"Slots\", \"Cap.\", \"Spare\", \"Veg. lunch\"],\n-        [650, 5200, 750, 750, 650, 1360],\n+        [\"Cl.\", \"Full-facing assortment\", \"Slots\", \"Cap.\", \"Open\", \"Veg.\"],\n+        [1000, 5150, 700, 700, 600, 1210],\n*** End Patch";
const result = await tools.apply_patch(patch);
text(typeof result === "string" ? result : JSON.stringify(result));

    Output

    Script completed
Wall time 0.0 seconds
Output:

{}
  48. 48Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({"cmd":"NODE_PATH=\"$(npm root -g)\" node build_reset_memo.js && python /root/.agents/skills/docx/scripts/office/validate.py output/grab_go_reset_memo.docx","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":30000});
text(r.output);

    Output

    Script completed
Wall time 1.5 seconds
Output:


Paragraphs: 0 → 163 (+163)
All validations PASSED!
  49. 49Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({"cmd":"mkdir -p /tmp/grab_go_memo_visual3 && python /root/.agents/skills/docx/scripts/office/soffice.py --headless --convert-to pdf --outdir /tmp/grab_go_memo_visual3 output/grab_go_reset_memo.docx && pdftoppm -png -r 120 /tmp/grab_go_memo_visual3/grab_go_reset_memo.pdf /tmp/grab_go_memo_visual3/page","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":30000});
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/grab_go_reset_memo.docx as a Writer document -> /tmp/grab_go_memo_visual3/grab_go_reset_memo.pdf using filter : writer_pdf_Export
  50. 50exec1

    Tool execution only — no assistant text

    execconst r = await tools.view_image({"path":"/tmp/grab_go_memo_visual3/page-2.png","detail":"high"}); image(r.image_url);303k chars

    Arguments

    const r = await tools.view_image({"path":"/tmp/grab_go_memo_visual3/page-2.png","detail":"high"});
image(r.image_url);

    Output

    Script completed
Wall time 0.0 seconds
Output:

    … 301,756 more characters of output in the raw trajectory.

  51. 51exec1

    Tool execution only — no assistant text

    execconst patch = "*** Begin Patch\n*** Update File: build_reset_memo.js\n@@\n- [\"Cl.\", \"Full-facing assortment\", \"Slots\", \"Cap.\", \"Open\", \"Veg.\"],\n+ [\"Cl.\", \"Full-facing assortment\", \"Slots\", \"Cap.\", \"Gap\", \"Veg.\"],\n*** End Patch"; const result = await tools.apply_patch(patch); text(typeof result === "string" ? result : JSON.stringify(result));

    Arguments

    const patch = "*** Begin Patch\n*** Update File: build_reset_memo.js\n@@\n-        [\"Cl.\", \"Full-facing assortment\", \"Slots\", \"Cap.\", \"Open\", \"Veg.\"],\n+        [\"Cl.\", \"Full-facing assortment\", \"Slots\", \"Cap.\", \"Gap\", \"Veg.\"],\n*** End Patch";
const result = await tools.apply_patch(patch);
text(typeof result === "string" ? result : JSON.stringify(result));

    Output

    Script completed
Wall time 0.0 seconds
Output:

{}
  52. 52Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({"cmd":"NODE_PATH=\"$(npm root -g)\" node build_reset_memo.js && python /root/.agents/skills/docx/scripts/office/validate.py output/grab_go_reset_memo.docx","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":30000});
text(r.output);

    Output

    Script completed
Wall time 1.5 seconds
Output:


Paragraphs: 0 → 163 (+163)
All validations PASSED!
  53. 53Both deliverables are built and validated. The workbook contains the raw source tabs, every proposal-row reconciliation,…

    Both deliverables are built and validated. The workbook contains the raw source tabs, every proposal-row reconciliation, item-level economics, signed-support cap checks, and a live-capacity control; the memo translates that into the merchant release decision and field safeguards.

  54. 54Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({"cmd":"ls -lh output && file output/grab_go_reset_memo.docx output/reset_decision_workbook.xlsx && python - <<'PY'\nfrom openpyxl import load_workbook\np='output/reset_decision_workbook.xlsx'\nwb = load_workbook(p, data_only=False, read_only=True)\nprint('Workbook sheets:', ', '.join(wb.sheetnames))\nwbv = load_workbook(p, data_only=True, read_only=True)\nws=wbv['Executive Summary']\nprint('Selected weekly base GP:', ws['B9'].value)\nprint('Selected four-week GP incl. support:', ws['B12'].value)\nprint('Final capacity slots:', ws['G11']

    … 117 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 0.1 seconds
Output:

total 120K
-rw-r--r-- 1 root root  17K Aug 20 01:23 grab_go_reset_memo.docx
-rw-r--r-- 1 root root 100K Aug 20 01:21 reset_decision_workbook.xlsx
/bin/bash: line 1: file: command not found
  55. 55Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({"cmd":"python - <<'PY'\nfrom openpyxl import load_workbook\np='output/reset_decision_workbook.xlsx'\nwb = load_workbook(p, data_only=False, read_only=True)\nprint('Workbook sheets:', ', '.join(wb.sheetnames))\nwbv = load_workbook(p, data_only=True, read_only=True)\nws=wbv['Executive Summary']\nprint('Selected weekly base GP:', ws['B9'].value)\nprint('Selected four-week GP incl. support:', ws['B12'].value)\nprint('Final capacity slots:', ws['G11'].value)\nPY\npython - <<'PY'\nfrom zipfile import ZipFile\nfor p in ['output/grab_go_res

    … 280 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 0.7 seconds
Output:

Workbook sheets: Executive Summary, Source POS, Source Master, Source Capacity, Source Proposal, Rules & Hierarchy, Signed Terms, Final Decisions, Proposal Reconciliation, Item Economics, Capacity Check, Support Check
Selected weekly base GP: 6263.464
Selected four-week GP incl. support: 25674.563
Final capacity slots: 40.5
output/grab_go_reset_memo.docx ZIP integrity: True entries: 26
output/reset_decision_workbook.xlsx ZIP integrity: True entries: 47
  56. 56exec1

    Tool execution only — no assistant text

    execconst result = await tools.update_plan({ explanation: "The revised assortment was reconciled to signed terms, capacity, and internal demand. Both native deliverables were generated and validated.", plan: [ { step: "Extract authoritative rules, vendor terms, and source data", status: "completed" }, { step: "Analyze item economics, capacity, and proposal conflicts", status: "completed" }, { step: "Build and validate the supporting decision workbook", status: "completed" }, { step: "Draft and validate the merchant-facing memo", status: "complet

    Arguments

    const result = await tools.update_plan({
  explanation: "The revised assortment was reconciled to signed terms, capacity, and internal demand. Both native deliverables were generated and validated.",
  plan: [
    { step: "Extract authoritative rules, vendor terms, and source data", status: "completed" },
    { step: "Analyze item economics, capacity, and proposal conflicts", status: "completed" },
    { step: "Build and validate the supporting decision workbook", status: "completed" },
    { step: "Draft and validate the merchant-facing memo", status: "complet

    … 91 more characters of arguments in the raw trajectory.

    Output

    Script completed
Wall time 0.0 seconds
Output:

{}
  57. 57Completed. The reset is recommended for approval with changes: defer Sushi, add Caprese only in Metro/Campus, retain Hum…

    Completed. The reset is recommended for approval with changes: defer Sushi, add Caprese only in Metro/Campus, retain Hummus in Commuter/Highway/Rural, add Protein Snack Box, and remove Egg Salad, Turkey Cranberry, and Rural Southwest.

    • Merchant memo
    • Decision workbook

    The workbook recalculated with zero formula errors; the memo was validated and visually checked.

5 failure modes across 8 verifier failures

  1. 1Allocation or Selection Plan IncorrectView on Failure Modes ↗Reasoning and Computation4 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 never sets Spicy Tuna Sushi Roll to the required single controlled-test facing in Metro Core, either leaving the buyer proposal's 2 facings unchanged or rejecting sushi from Metro Core entirely.

    • 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.

    • Metro Core sushi is reconciled down to zero final facings instead of the required one facing.

  2. 2Eligibility 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.

  3. 3Quantity, Cost, Capacity, or Rate Calculation WrongView on Failure Modes ↗Reasoning and Computation1 failure

    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 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.

  4. 4Required Evidence Fields or Rows OmittedView on Failure Modes ↗Deliverable Completion and Structure1 failure

    Description

    Is the decision generally present, but the required exact identifiers, comparison rows, operational columns, governing terms, before-and-after values, or validation fields needed to verify it are absent?

    Failure evidence · per affected verifier

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

  5. 5Required Rationale or Authority Statement OmittedView on Failure Modes ↗Presentation and Communication1 failure

    Description

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

    Failure evidence · per affected verifier

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