EKWbench

task_116Retail trade

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

TaxonomyRetail tradeGeneral and operations managers

All trialsGPT-5.6 SolcodexTrial 02

55%

Trial reward

GPT-5.6 SolFail

Trial 02 — 4th of 4 by reward score. This model averages 69% across 4 trials on this task.

  • 9/15Core verifiers passed
  • 10/18All verifiers passed
  • 6Core failed
  • 41Turns
  • 27Tool calls
  • $3.32Cost
  • 24.3mTime
  • 60kOutput tokens

Missed 6 of 15 core — traffic_profit, scope_control and execution and 3 more, plus 2 secondary.

core (15)

  • sushi_routeLLMPass
    Why it matters

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

    How to pass

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

    Reads

  • capacityLLMPass
    Why it matters

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

    How to pass

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

    Reads

  • vegetarian_roleLLMPass
    Why it matters

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

    How to pass

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

    Reads

  • seasonalLLMPass
    Why it matters

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

    How to pass

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

    Reads

  • traffic_profitLLMFail
    Why it matters

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

    How to pass

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

    Reads

    Failure mode Required Rationale or Authority Statement Omitted

    Why it failed

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

    Justification

    The memo protects Chicken Caesar in every cluster and adds a second facing in COM, and it gives Protein Snack Box launch space (2 facings in most clusters, 1 in RUR) with evidence of low pilot waste, five-day code, and signed scan support. However, it does not explicitly tie Chicken Caesar’s protected/additional space to OOS pressure, which the rubric requires for a pass.

  • 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_controlLLMFail
    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

    Failure mode Unsupported Permission or Source Fact Introduced

    Why it failed

    The memo counts a $149 Caprese scan allowance that is not among the signed vendor credits the packet documents.

    Justification

    The assortment stays within the 10 listed SKUs and the final slot counts fit the stated capacities (MET 12.0, COM 10.0, CAM 10.0, HWY 7.5/8.0, RUR 6.5/7.0), but the memo also counts a separate 'Caprese scan allowance' of $149 in its signed-support total and support table. That is an unapproved vendor credit beyond the allowed sushi, Protein Snack Box, and GreenFork credits, so the rubric is not fully satisfied.

  • 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

    Although the memo gives cluster-level assortments and slot totals, it does not match all required final outcomes: HWY is 7.5 slots with Hummus 1 and Protein Box 2 (rubric requires Protein 1), and RUR is 6.5 slots with Southwest Bowl 1, Hummus 1, and Protein Box 1 (rubric requires 6.0 slots and zero Southwest Chicken Bowl).

  • workbook_structureLLMFail
    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

    Failure mode Required Evidence Fields or Rows Omitted

    Why it failed

    The cluster-SKU decision matrix is truncated partway through the clusters, so rows for the remaining clusters and SKUs are never shown.

    Justification

    The workbook shows a readable per-SKU 'Decision Detail' matrix with final action and final facings/slots, but the visible entries only cover MET and COM before truncating. Campus / Hospital, Highway / Travel, and Rural North do not have visible row-by-row decision entries for all 10 SKUs, and the cluster-level assortment summary is not a complete 5x10 matrix.

  • 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

    In the workbook's final plan ('Final cluster-level assortment and capacity'), HWY has Chicken Caesar 1 and Protein Box 2, and RUR has Chicken Caesar 1 and Southwest Bowl 1; the rubric expects HWY Chicken Caesar 2/Protein 1 and RUR Chicken Caesar 2/Southwest 0. MET also shows Cobb Salad as 2 in the standard variant rather than the expected 1. Since multiple graded SKU facings materially differ—and Chicken Caesar is below 2 in HWY and RUR—the criterion 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 includes a numeric capacity reconciliation table with live capacity, proposal slots, final slots, headroom/variance, and PASS status for each cluster, and it separately shows proposal over-capacity for COM 10.5 vs 10, CAM 10.5 vs 10, HWY 8.5 vs 8, and RUR 7.5 vs 7. However, Rural North's final tray-slot use is shown as 6.5 (headroom 0.5), while the rubric requires a final use of 6.0, so the required final slot values are not fully satisfied.

  • dropsLLMPass
    Why it matters

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

    How to pass

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

    Reads

  • vegetarian_roleLLMPass
    Why it matters

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

    How to pass

    Checks whether the workbook handles Caprese and Hummus distribution correctly.

    Reads

  • vendor_termsLLMPass
    Why it matters

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

    How to pass

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

    Reads

  • calculationsLLMPass
    Why it matters

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

    How to pass

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

    Reads

secondary (3)

  • capacity_disciplineLLMFail
    Why it matters

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

    How to pass

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

    Reads

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

    Why it failed

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

    Justification

    The memo does explicitly accept open space and says, “Do not fill intentional slack. HWY and RUR each retain 0.5 open slot,” with HWY shown at “7.5 / 8.0 | Leave 0.5 slot open,” and it warns against filling with weak/unsupported items like Turkey Cranberry, Egg Salad, or unauthorized launches. However, it does not meet the required Rural North numeric condition: RUR is listed as “6.5 / 7.0” with “0.5” open, not 6.0 / 7.0 with 1.0 open.

  • 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 Required Evidence Fields or Rows Omitted

    Why it failed

    The proposal-reconciliation content is truncated, entirely absent, or missing the required accept/reduce/reject status label even where the buyer and final values themselves are correct.

    Justification

    The workbook does include a 'Proposal Reconciliation & Final Decisions' sheet with proposal action/facings, decision status, and final action/facings, and it clearly shows MET/COM examples (including Metro sushi reduced to 1 on M-11 and COM sushi rejected). However, the provided output cuts off before the CAM/HWY/RUR decision rows, so there is missing evidence of the required per-cluster-SKU reconciliation and statuses for contested nonzero rows such as CAM Caprese/Protein/Sushi, HWY Turkey Cranberry/Caprese/Protein, and RUR Egg Salad/Protein. Final cluster summaries alone do not replace the required row-level proposed/final/status reconciliation.

  • 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.docx17 KB

MERCHANT DECISION MEMO

July Grab-and-Go Reset

First-four-week recommendation for the refrigerated prepared-foods case

TO

L. Moreno, Senior Merchant — Prepared Foods

WINDOW

First four weeks of July reset

FROM

Category Planning

DECISION

Approve only with the revisions below

DECISION: Release a revised reset, not the buyer proposal as written.

The revised set protects the core lunch mission, removes the highest-shrink legacy and seasonal items, limits launches to evidence-backed and signed routes, and fits every live case without extra trays or delivery stops.

0

final capacity failures

−124

waste units / 4 weeks

+$3,763

GP after waste

+$658

signed support available

Recommendation

Accept the underlying reset direction only where the internal eight-week record and signed network support it. The first-four-week calls are:

Protein Snack Box — accept two facings in MET, COM, CAM, and HWY; change RUR to one facing. The five-day code and low pilot waste support the launch without adding stops.

Caprese Ciabatta — accept one facing in MET and CAM; reject COM and HWY; keep RUR at do-not-add. COM’s Hummus performance is stronger, and HWY lacks a signed Caprese route.

Spicy Tuna Sushi Roll — change MET from two facings clusterwide to one facing only on signed route M-11; reject COM and CAM. Use the standard MET planogram everywhere else.

Vegetarian coverage — retain Hummus in COM, CAM, HWY, and RUR. Remove Egg Salad in every cluster, including RUR; it cannot be the sole vegetarian answer and has weak, shrink-heavy performance.

Legacy and seasonal cleanup — remove Turkey Cranberry in all clusters, including HWY. Accept Cobb removals in HWY and RUR; keep Cobb where its economics support the oversized tray.

</w:pBdr><w:spacing w:before="90" w:after="0" w:line="250"/><w:jc w:val="left"/></w:pPr><w:r><w:rPr><w:rFonts w:ascii="Arial" w:cs="Arial" w:eastAsia="Arial" w:hAnsi="Arial"/><w:b/><w:bCs/><w:i w:val="false"/><w:iCs w:val="false"/><w:color w:val="17365D"/><w:sz w:val="18"/><w:szCs w:val="18"/></w:rPr><w:t xml:space="preserve">Monday line-review answer: approve the revised planograms and hold any store-level sushi release until the M-11 roster is confirmed.

Revised cluster-level assortment

Facings are whole facings. Bowl, Cobb, and sushi facings each consume 1.5 tray slots; all other items consume one slot per facing.

Cluster / variant

Deliveries / week

Final assortment (facings)

Slots used / available

Operating note

MET — standard

5

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

12.0 / 12.0

Use in stores not confirmed on M-11.

MET — M-11

Signed daily sushi route

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

12.0 / 12.0

Sushi swaps for the second Cobb facing.

COM

4

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

10.0 / 10.0

No Caprese or sushi.

CAM

5

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

10.0 / 10.0

Carry both credible vegetarian lunches.

HWY

3

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

7.5 / 8.0

Leave 0.5 slot open.

RUR

2

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

6.5 / 7.0

Leave 0.5 slot open.

Capacity reconciliation

Cluster

Proposal slots

Final slots

Final headroom

Reconciliation

MET

12.0

12.0

0.0

Both final variants fit; proposal route scope still fails for sushi.

COM

10.5

10.0

0.0

Proposal was 0.5 slot over.

CAM

10.5

10.0

0.0

Proposal was 0.5 slot over.

HWY

8.5

7.5

0.5

Proposal was 0.5 slot over; open space is intentional.

RUR

7.5

6.5

0.5

Proposal was 0.5 slot over; open space is intentional.

The buyer proposal fits MET by slot count but assumes two sushi facings across the cluster. The signed letter authorizes daily service and credit only on route M-11, so slot fit alone does not make that deployment executable.

Highest-risk proposal changes

Risk

Buyer proposal

Revised call

Controlling evidence

Sushi footprint

Proposal: two MET facings plus COM/CAM launches.

One facing on MET M-11 only; reject COM/CAM.

Signed route and 50% waste credit are M-11 only. MET pilot: 3.15 sales/store/week, 10.6% waste, $16.33 net GP/store/week. COM/CAM waste: 32.5% / 26.1%.

Caprese swap

Proposal removes Hummus wherever possible.

Use Caprese in MET/CAM; keep Hummus in COM; carry both in CAM.

COM Caprese trails Hummus: 1.83 vs 2.18 sales/store/week; 16.4% vs 8.7% waste; $6.00 vs $7.16 net GP. CAM supports both.

HWY Caprese

Proposal adds one facing.

Reject; retain one Hummus facing.

No signed HWY Caprese route, no internal HWY pilot record, two-day code, and only three cluster deliveries. Supplier projection is not evidence.

Protein allocation

Proposal adds two facings everywhere.

Accept two except RUR, where one is sufficient.

Pilot waste is 2.6%–7.8% and code is five days. RUR volume is only 1.84 sales/store/week, so two facings are not justified in a 7-slot case.

Egg Salad

Proposal keeps one RUR facing based on anecdotal requests.

Remove in all clusters; Hummus remains the credible vegetarian lunch.

RUR: 0.72 sales/store/week, 24.3% waste, $1.79 net GP/store/week. Handoff also bars Egg Salad as the sole vegetarian option.

Turkey Cranberry

Proposal keeps one HWY facing if space allows.

Remove in all clusters.

HWY: 1.12 sales/store/week and 22.4% waste. Signed terms authorize no returns or billbacks after January 31; handoff bars winter carryover to fill space.

Why lunch remains protected

Chicken Caesar, Turkey Club, and Southwest Bowl remain in every cluster.

COM adds a second Chicken facing; MET adds a second Bowl facing. These are internal, high-velocity lunch items—not supplier-projected launches.

Campus keeps both Hummus and Caprese because meatless options over-index and both performed credibly.

Highway and Rural retain familiar sandwiches, a bowl, one vegetarian lunch, and Protein Box while avoiding low-repeat filler.

Supporting economics

Observed run-rate estimate for four weeks; based on the eight weeks ended May 25, 2026. Candidate pilot rates are extended only to the final approved footprint. Extra facings receive no assumed sales lift.

Metric

Current assortment

Revised reset

Change

Sales units

6,190.5

6,967.9

+777.4

Waste units

583.0

458.6

−124.4 (−21.3%)

Waste rate

8.6%

6.2%

−2.4 pts

Product margin

$24,309

$27,775

+$3,466

Shrink cost

$1,688

$1,391

−$297

Net GP after waste

$22,621

$26,384

+$3,763

Signed support

$0

$658

+$658

Net GP with support

$22,621

$27,042

+$4,422

Signed support check

Support

Modeled use

Value

Condition

Caprese scan allowance

373.2 modeled scans vs 5,500-unit cap

$149

Only eligible receipts dated July 13–August 9.

Protein scan allowance

1,214.2 modeled scans vs 8,000-unit cap

$425

First six reset weeks; all five clusters routed.

GreenFork waste credits

Eligible Hummus / Caprese waste in 4+ delivery clusters

$55

Documented waste only; no HWY or RUR credit.

Sushi waste credit

Existing 9-store MET pilot footprint used for economics

$29

M-11 only; documented waste through August 16.

Total signed support of $658 is additive to the $26,384 shrink-adjusted GP run rate. If Caprese receipt dates do not fall in the signed scan window, remove its $149 allowance from the supported total.

Release controls

Route-gate Metro sushi. The attachments identify M-11 and a 9-store MET controlled pilot but do not include a store-level M-11 roster. Do not release the overlay without that roster; all unconfirmed stores use standard MET.

Publish two MET planograms. The M-11 version swaps one sushi facing for the second Cobb facing; both use exactly 12 slots.

Protect signed windows. Caprese scan support requires July 13–August 9 eligible receipts; Protein support covers the first six reset weeks. Document waste for every claimed credit.

Do not fill intentional slack. HWY and RUR each retain 0.5 open slot. Do not use partial facings, Turkey Cranberry, Egg Salad, or an unauthorized launch to close it.

Use internal launch scorecards. Review sales, waste, OOS, receipts, and ending inventory after launch; supplier projections remain outside the decision scorecard.

</w:pBdr><w:spacing w:before="100" w:after="0" w:line="250"/><w:jc w:val="left"/></w:pPr><w:r><w:rPr><w:rFonts w:ascii="Arial" w:cs="Arial" w:eastAsia="Arial" w:hAnsi="Arial"/><w:b w:val="false"/><w:bCs w:val="false"/><w:i/><w:iCs/><w:color w:val="666666"/><w:sz w:val="18"/><w:szCs w:val="18"/></w:rPr><w:t xml:space="preserve">Detailed item-by-cluster decisions, formulas, source records, signed-term transcription, and capacity math are in reset_decision_workbook.xlsx.

User prompt → 41 turns · 27 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’m using the Word-document and spreadsheet skills because the requested outputs are a formatted memo and an auditable E…

    I’m using the Word-document and spreadsheet skills because the requested outputs are a formatted memo and an auditable Excel workbook. I’ll first inventory the attachments and read the required creation/validation guidance, then reconcile the proposal against the handoff, internal records, signed terms, economics, and case capacity.

  7. 7Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const p = await tools.update_plan({plan:[
      {step:"Read document/spreadsheet skill guidance and inventory source files",status:"in_progress"},
      {step:"Extract authoritative rules, records, signed terms, and proposal details",status:"pending"},
      {step:"Reconcile item economics, cluster decisions, delivery constraints, and capacity",status:"pending"},
      {step:"Build and validate the Excel decision workbook",status:"pending"},
      {step:"Build and validate the merchant-facing Word memo",status:"pending"}
    ]});
    const r = await tools.exec_command({cmd:"pwd && rg

    … 267 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 0.1 seconds
    Output:
    
    {}
    /workspace
    /root/.agents/skills/xlsx/SKILL.md
    /root/.agents/skills/docx/SKILL.md
    /workspace/data/buyer_reset_proposal.csv
    /workspace/data/item_master_unit_economics.csv
    /workspace/data/merchant_handoff_prepared_foods.docx
    /workspace/data/signed_vendor_offer_letters.pdf
    /workspace/data/store_cluster_capacity.csv
    /workspace/data/weekly_pos_inventory_waste.csv
    
  8. 8Shell1

    Tool execution only — no assistant text

    Shellvia exec21k chars

    Arguments

    const r = await Promise.all([
      tools.exec_command({cmd:"sed -n '1,260p' /root/.agents/skills/docx/SKILL.md","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":30000}),
      tools.exec_command({cmd:"sed -n '1,320p' /root/.agents/skills/xlsx/SKILL.md","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":40000})
    ]);
    text("DOCX SKILL\n"+r[0].output);
    text("XLSX SKILL\n"+r[1].output);

    Output

    Script completed
    Wall time 0.1 seconds
    Output:
    
    DOCX SKILL
    ---
    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 ha

    … 20,388 more characters of output in the raw trajectory.

  9. 9Shell1

    Tool execution only — no assistant text

    Shellvia exec12k chars

    Arguments

    const r = await Promise.all([
      tools.exec_command({cmd:"wc -l /root/.agents/skills/docx/SKILL.md /root/.agents/skills/xlsx/SKILL.md && sed -n '261,620p' /root/.agents/skills/docx/SKILL.md","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":40000}),
      tools.exec_command({cmd:"sed -n '321,700p' /root/.agents/skills/xlsx/SKILL.md","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":10000})
    ]);
    text(r[0].output);
    text("XLSX REMAINDER\n"+r[1].output);

    Output

    Script completed
    Wall time 0.1 seconds
    Output:
    
      590 /root/.agents/skills/docx/SKILL.md
      291 /root/.agents/skills/xlsx/SKILL.md
      881 total
      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
    
    ```javascrip

    … 10,587 more characters of output in the raw trajectory.

  10. 10The signed offer letters are a PDF, so I’m also applying the PDF skill to extract and verify the controlling vendor term…

    The signed offer letters are a PDF, so I’m also applying the PDF skill to extract and verify the controlling vendor terms without losing page-level context. This adds a source-validation step before I use any credit, route, or launch-support assumption.

  11. 11Shell1

    Tool execution only — no assistant text

    Shellvia exec9k chars

    Arguments

    const r = await tools.exec_command({cmd:"wc -l /root/.agents/skills/pdf/SKILL.md && sed -n '1,700p' /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:
    
    314 /root/.agents/skills/pdf/SKILL.md
    ---
    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.
    
    ## 

    … 7,528 more characters of output in the raw trajectory.

  12. 12exec1

    Tool execution only — no assistant text

    execconst p = await tools.update_plan({explanation:"Required Word, spreadsheet, and PDF guidance is loaded; source extraction and authority mapping are now underway.",plan:[ {step:"Read document/spreadsheet skill guidance and inventory source files",status:"completed"}, {step:"Extract authoritative rules, records, signed terms, and proposal details",status:"in_progress"}, {step:"Reconcile item economics, cluster decisions, delivery constraints, and capacity",status:"pending"}, {step:"Build and validate the Excel decision workbook",status:"pending"}, {step8k chars

    Arguments

    const p = await tools.update_plan({explanation:"Required Word, spreadsheet, and PDF guidance is loaded; source extraction and authority mapping are now underway.",plan:[
      {step:"Read document/spreadsheet skill guidance and inventory source files",status:"completed"},
      {step:"Extract authoritative rules, records, signed terms, and proposal details",status:"in_progress"},
      {step:"Reconcile item economics, cluster decisions, delivery constraints, and capacity",status:"pending"},
      {step:"Build and validate the Excel decision workbook",status:"pending"},
      {step

    … 885 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 0.2 seconds
    Output:
    
    {}
    CSV INVENTORY
    51 /workspace/data/buyer_reset_proposal.csv
    proposal_date,cluster_code,cluster_name,sku,item,proposed_action,proposed_facings,buyer_comment,supplier_projection_units_per_store_week
    2026-06-12,MET,Metro Core,GGS-84QJ,Chicken Caesar Wrap,Keep,2,,
    2026-06-12,MET,Metro Core,GGS-2VWK,Turkey Club Sandwich,Keep,1,,
    2026-06-12,MET,Metro Core,GGS-9PQL,Southwest Chicken Bowl,Keep,1,,
    2026-06-12,MET,Metro Core,GGS-5MTC,Hummus Veggie Wrap,Remove,0,Buyer proposal removes this to make room for the Caprese launch.,
    2026-06-12,MET,Metro Core,GGS-7DNL,Cobb Salad,Keep,1,,
    2026-06-12,MET,Metro Core,GGS-1KFV,Egg Salad Croissant,Remove,0,Rural DM says some regulars still ask for it.,
    2026-06-12,MET,Metro Core,GGS-4HBP,Turkey Cranberry Sandwich,Remove,0,Highway stores asked to keep one slot from winter if space allow

    … 6,643 more characters of output in the raw trajectory.

  13. 13Shell1

    Tool execution only — no assistant text

    Shellvia exec1k chars

    Arguments

    const rs = await Promise.all([
      tools.exec_command({cmd:"find /root/.agents/skills/docx -maxdepth 3 -type f -printf '%p\\n' | sort | sed -n '1,200p'","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":20000}),
      tools.exec_command({cmd:"unzip -p /workspace/data/merchant_handoff_prepared_foods.docx word/document.xml | sed 's/<w:p[^>]*>/\\n/g; s/<w:tab[^>]*>/\\t/g; s/<[^>]*>//g' | sed '/^[[:space:]]*$/d'","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":30000}),
      tools.exec_command({cmd:"for f in /workspace/data/buyer_reset_

    … 375 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 0.1 seconds
    Output:
    
    DOCX SKILL FILES
    /root/.agents/skills/docx/LICENSE.txt
    /root/.agents/skills/docx/SKILL.md
    /root/.agents/skills/docx/scripts/__init__.py
    /root/.agents/skills/docx/scripts/accept_changes.py
    /root/.agents/skills/docx/scripts/comment.py
    /root/.agents/skills/docx/scripts/office/pack.py
    /root/.agents/skills/docx/scripts/office/soffice.py
    /root/.agents/skills/docx/scripts/office/unpack.py
    /root/.agents/skills/docx/scripts/office/validate.py
    /root/.agents/skills/docx/scripts/templates/comments.xml
    /root/.agents/skills/docx/scripts/templates/commentsExtended.xml
    /root/.agents/skills/docx/scripts/templates/commentsExtensible.xml
    /root/.agents/skills/docx/scripts/templates/commentsIds.xml
    /root/.agents/skills/docx/scripts/templates/people.xml
    
    HANDOFF RAW TEXT
    /bin/bash: line 1: unzip: command not found
    

    … 316 more characters of output in the raw trajectory.

  14. 14The attachments are readable, but this environment lacks pandoc, unzip, and the shell table formatter. I’m using the ski…

    The attachments are readable, but this environment lacks pandoc, unzip, and the shell table formatter. I’m using the skill-provided DOCX unpacker and structured CSV analysis instead; this preserves the authoritative wording while keeping the extraction auditable.

  15. 15Shell1

    Tool execution only — no assistant text

    Shellvia exec9k chars

    Arguments

    const r = await tools.exec_command({cmd:"handoff_tmp=$(mktemp -d /tmp/bmm-handoff.XXXXXX)\npython /root/.agents/skills/docx/scripts/office/unpack.py /workspace/data/merchant_handoff_prepared_foods.docx \"$handoff_tmp\" >/tmp/bmm_handoff_unpack.log\nsed -n '1,260p' \"$handoff_tmp/word/document.xml\"\nprintf '\\nUNPACK_LOG\\n'\nsed -n '1,80p' /tmp/bmm_handoff_unpack.log","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":50000});
    text(r.output);

    Output

    Script completed
    Wall time 0.7 seconds
    Output:
    
    <?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:word" xmlns:w="http://schemas.openxmlformats.org/wordprocessingml/2006/main" xmlns:w14="http://schemas.microsoft.com/office/

    … 8,494 more characters of output in the raw trajectory.

  16. 16Shell1

    Tool execution only — no assistant text

    Shellvia exec28k chars

    Arguments

    const rs = await Promise.all([
      tools.exec_command({cmd:"python - <<'PY'\nfrom zipfile import ZipFile\nfrom xml.etree import ElementTree as ET\np='/workspace/data/merchant_handoff_prepared_foods.docx'\nns={'w':'http://schemas.openxmlformats.org/wordprocessingml/2006/main'}\nwith ZipFile(p) as z:\n    root=ET.fromstring(z.read('word/document.xml'))\nbody=root.find('w:body',ns)\nfor node in body:\n    tag=node.tag.rsplit('}',1)[-1]\n    if tag=='p':\n        txt=''.join(t.text or '' for t in node.findall('.//w:t',ns)).strip()\n        if txt: print(txt)\n    elif tag=='

    … 2,059 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 1.2 seconds
    Output:
    
    HANDOFF CLEAN TEXT
    Prepared Foods Reset Handoff
    Blue Mesa Market - Q3 2026 refrigerated grab-and-go case
    From: L. Moreno, Senior Merchant - Prepared Foods
    To: Category Planning / Space Planning
    Date: June 10, 2026
    Context: The July reset has to protect lunch traffic while taking shrink dollars out of the case. The buyer proposal was assembled after vendor line reviews, but it has not been reconciled to current tray capacity, delivery cadence, or the signed trade terms. Stores are already flagging that the case is hard to recover after the noon rush, so the final call needs to be operationally boring even if the vendor story is exciting.
    Decision rules for this reset
    Fit the first four weeks of the July reset into the live refrigerated case. Do not assume the September lease-line change, extra trays, or extra driver stops will materialize.
    Treat internal sales,

    … 26,821 more characters of output in the raw trajectory.

  17. 17The authority stack is now clear: the proposal is only a starting point; the handoff rules, internal eight-week performa…

    The authority stack is now clear: the proposal is only a starting point; the handoff rules, internal eight-week performance, item master, capacity file, and signed letters control. I’m now quantifying per-store demand, shrink-adjusted gross profit, signed support, and each proposal’s tray-slot load—including the Metro M-11 sushi exception.

  18. 18Shell1

    Tool execution only — no assistant text

    Shellvia exec22k chars

    Arguments

    const r = await tools.exec_command({cmd:"python - <<'PY'\nimport pandas as pd, numpy as np\nbase='/workspace/data/'\npos=pd.read_csv(base+'weekly_pos_inventory_waste.csv',parse_dates=['week_start'])\nmaster=pd.read_csv(base+'item_master_unit_economics.csv')\ncap=pd.read_csv(base+'store_cluster_capacity.csv')\n# aggregation\nx=(pos.groupby(['cluster_code','cluster_name','sku','item','range_type'],as_index=False)\n   .agg(weeks=('week_start','nunique'),store_weeks=('stores_ranged','sum'),stores=('stores_ranged','max'),sales=('net_sales_units','sum'),waste=('waste_units','sum')

    … 1,968 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 0.9 seconds
    Output:
    
    EIGHT-WEEK OBSERVED ECONOMICS PER RANGED STORE/WEEK
    cluster_code      sku                      item       range_type  stores sales_spw waste_spw  waste_rate oos_spw unit_margin sales_gp_spw shrink_cost_spw net_gp_spw
             CAM GGS-1KFV       Egg Salad Croissant      Current set      11      1.57      0.36    0.188235    0.05        3.21         5.03            0.83       4.20
             CAM GGS-2VWK      Turkey Club Sandwich      Current set      11      3.48      0.19    0.052632    0.05        3.85        13.39            0.51      12.88
             CAM GGS-3RZA          Caprese Ciabatta Controlled pilot       5      3.30      0.23    0.063830    0.04        3.89        12.84            0.70      12.14
             CAM GGS-4HBP Turkey Cranberry Sandwich      Current set      11      0.69      0.20    0.227848    0.05        3.64         2.52            0.60       1.92

    … 20,876 more characters of output in the raw trajectory.

  19. 19exec1

    Tool execution only — no assistant text

    execconst p = await tools.update_plan({explanation:"Source extraction is complete. The decision rules and performance metrics are being reconciled into a feasible assortment and quantified first-four-week run rate.",plan:[ {step:"Read document/spreadsheet skill guidance and inventory source files",status:"completed"}, {step:"Extract authoritative rules, records, signed terms, and proposal details",status:"completed"}, {step:"Reconcile item economics, cluster decisions, delivery constraints, and capacity",status:"in_progress"}, {step:"Build and validate the Exce3k chars

    Arguments

    const p = await tools.update_plan({explanation:"Source extraction is complete. The decision rules and performance metrics are being reconciled into a feasible assortment and quantified first-four-week run rate.",plan:[
      {step:"Read document/spreadsheet skill guidance and inventory source files",status:"completed"},
      {step:"Extract authoritative rules, records, signed terms, and proposal details",status:"completed"},
      {step:"Reconcile item economics, cluster decisions, delivery constraints, and capacity",status:"in_progress"},
      {step:"Build and validate the Exce

    … 4,785 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 0.9 seconds
    Output:
    
    {}
    SCENARIO TOTALS (4-WEEK OBSERVED RUN RATE; PROPOSAL EXCLUDES MISSING HWY CAPRESE ECONOMICS)
              sales_units  waste_units  gp_after_waste  signed_support  gp_with_support  rows_missing
    scenario                                                                                         
    Current      6,190.50       583.00       22,620.81            0.00        22,620.81             0
    Final        6,967.85       458.57       26,383.98          658.39        27,042.38             0
    Proposal     7,042.48       562.28       26,949.22            0.00        26,949.22             1
    
    FINAL BY CLUSTER
             sales_units  waste_units  gp_after_waste  signed_support  gp_with_support
    cluster                                                                           
    CAM         1,288.60        73.70        4,867.37          162.19  

    … 1,587 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:"python - <<'PY'\nvals={'current_sales':6190.50,'current_waste':583.00,'current_gp':22620.81,'final_sales':6967.85,'final_waste':458.57,'final_gp':26383.98,'support':658.39}\nprint('waste units delta pct', (vals['final_waste']/vals['current_waste']-1))\nprint('current waste rate',vals['current_waste']/(vals['current_sales']+vals['current_waste']))\nprint('final waste rate',vals['final_waste']/(vals['final_sales']+vals['final_waste']))\nprint('gp pre support delta pct',vals['final_gp']/vals['current_gp']-1)\nprint('gp supported delta pct'

    … 247 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 0.1 seconds
    Output:
    
    waste units delta pct -0.21343053173241855
    current waste rate 0.08607071676385916
    final waste rate 0.06174846022713501
    gp pre support delta pct 0.1663587643413298
    gp supported delta pct 0.1954642649843219
    support pct final gp 0.024346608673722014
    
  21. 21Shell1

    Tool execution only — no assistant text

    Shellvia exec1k chars

    Arguments

    const r = await Promise.all([
      tools.exec_command({cmd:"find /root/.agents/skills/xlsx -maxdepth 3 -type f -printf '%p\\n' | sort","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":10000}),
      tools.exec_command({cmd:"python - <<'PY'\nimport openpyxl\nprint('openpyxl',openpyxl.__version__)\nPY\nnode -e \"const d=require('docx'); console.log('docx loaded',require.resolve('docx'))\"","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":10000}),
      tools.exec_command({cmd:"which libreoffice || true\nwhich soffice || true\nwhi

    … 254 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 0.7 seconds
    Output:
    
    XLSX SKILL FILES
    /root/.agents/skills/xlsx/LICENSE.txt
    /root/.agents/skills/xlsx/SKILL.md
    /root/.agents/skills/xlsx/scripts/office/pack.py
    /root/.agents/skills/xlsx/scripts/office/soffice.py
    /root/.agents/skills/xlsx/scripts/office/unpack.py
    /root/.agents/skills/xlsx/scripts/office/validate.py
    /root/.agents/skills/xlsx/scripts/recalc.py
    
    LIBRARIES
    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 defaultResolveImpl (node:internal/modules/cjs/loader:1040:19)
        at resolveForCJSWithHooks (node:internal/modules/cjs/loader:1045:22)
        at Function._load (node:internal/modules/cjs/loader:1216:25)
        at wrapModuleLoad (node:internal/modules/cjs/load

    … 481 more characters of output in the raw trajectory.

  22. 22The DOCX skill requires docx-js for new documents, and it is not installed in this workspace. I’m installing it into a t…

    The DOCX skill requires docx-js for new documents, and it is not installed in this workspace. I’m installing it into a temporary runtime only; it won’t alter the source attachments or the requested output contents.

  23. 23Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"mkdir -p /tmp/bmm-docx-runtime && npm install --prefix /tmp/bmm-docx-runtime docx@9.5.1","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. 24The revised set is now fixed: every planogram fits live capacity; Metro uses a route-gated M-11 overlay; Commuter keeps…

    The revised set is now fixed: every planogram fits live capacity; Metro uses a route-gated M-11 overlay; Commuter keeps Hummus and drops Caprese/sushi; Campus carries both vegetarian options; Highway and Rural use cleaner, lower-complexity sets. I’m building the workbook with formula-driven economics and raw-source tabs so Space Planning can trace every call.

  25. 25exec1

    Tool execution only — no assistant text

    execconst patch = "*** Begin Patch\n*** Add File: build_reset_workbook.py\n+from pathlib import Path\n+from datetime import datetime\n+import math\n+import pandas as pd\n+from openpyxl import Workbook\n+from openpyxl.comments import Comment\n+from openpyxl.formatting.rule import CellIsRule, FormulaRule\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(\"/workspace\")\n+DATA = ROOT / \"data\"\n+OUT = ROOT / \"outp

    Arguments

    const patch = "*** Begin Patch\n*** Add File: build_reset_workbook.py\n+from pathlib import Path\n+from datetime import datetime\n+import math\n+import pandas as pd\n+from openpyxl import Workbook\n+from openpyxl.comments import Comment\n+from openpyxl.formatting.rule import CellIsRule, FormulaRule\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(\"/workspace\")\n+DATA = ROOT / \"data\"\n+OUT = ROOT / \"outp

    … 55,325 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 0.0 seconds
    Output:
    
    {}
  26. 26Shell1

    Tool execution only — no assistant text

    Shellvia exec1k chars

    Arguments

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

    Output

    Script completed
    Wall time 5.3 seconds
    Output:
    
    -rw-r--r-- 1 root root 47554 Aug 20 02:32 /workspace/build_reset_workbook.py
    /workspace/build_reset_workbook.py:293: DeprecationWarning: Call to deprecated function copy (Use copy(obj) or cell.obj = cell.obj + other).
      for c in (1,3,5,24): ws.cell(r,c).font = ws.cell(r,c).font.copy(color=INPUT_BLUE if c in (1,3,5) else GRAY)
    /workspace/build_reset_workbook.py:436: DeprecationWarning: Call to deprecated function copy (Use copy(obj) or cell.obj = cell.obj + other).
      ws.cell(r,c).font = ws.cell(r,c).font.copy(color=INPUT_BLUE if c in (10,11,12,13,25,26) else BLACK)
    /workspace/build_reset_workbook.py:98: DeprecationWarning: Call to deprecated function copy (Use copy(obj) or cell.obj = cell.obj + other).
      c.font = c.font.copy(name="Arial")
    /workspace/build_reset_workbook.py:99: DeprecationWarning: Call to deprecated function copy (Use copy(obj) or cell.obj = cell.

    … 295 more characters of output in the raw trajectory.

  27. 27Shell1

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

    Output

    Script completed
    Wall time 3.5 seconds
    Output:
    
    status: success
    total_errors: 0
    error_summary: {}
    total_formulas: 3341
  28. 28Shell1

    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,read_only=True)\nfor s in ['Cluster Decisions','Capacity Check','4-Week Economics']:\n print('\\n',s)\n ws=wbv[s]\n if s=='Cluster Decisions':\n  for r in range(6,12): print(r,ws.cell(r,1).value,ws.cell(r,2).value)\n  for r in range(16,22): print(r,[ws.cell(r,c).value for c in [1,2,7,8,9,10,11,12]])\n elif s=='Capacity Check':\n  for r in range(5,11): print(r,[ws.cell(r,c).value for c in rang

    … 289 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 1.0 seconds
    Output:
    
    
     Cluster Decisions
    6 Proposal capacity failures 3
    7 Final capacity failures 0
    8 4-week waste change -124.425
    9 4-week GP change before support 3763.171
    10 Signed support available 658.3945
    11 4-week GP change with support 4421.5655
    16 ['MET', 'Standard / non-M-11', 12, 12, 0, 'PASS', 12, 0]
    17 ['MET', 'M-11 route overlay', 12, 12, 0, 'PASS', 12, 0]
    18 ['COM', 'Cluster standard', 10, 10, 0, 'PASS', 10.5, -0.5]
    19 ['CAM', 'Cluster standard', 10, 10, 0, 'PASS', 10.5, -0.5]
    20 ['HWY', 'Cluster standard', 8, 7.5, 0.5, 'PASS', 8.5, -0.5]
    21 ['RUR', 'Cluster standard', 7, 6.5, 0.5, 'PASS', 7.5, -0.5]
    
     Capacity Check
    5 ['MET', 'Standard / non-M-11', 18, 5, 12, 12, 0, 'PASS', 12, 0, 'PASS']
    6 ['MET', 'M-11 route overlay', 18, 5, 12, 12, 0, 'PASS', 12, 0, 'PASS']
    7 ['COM', 'Cluster standard', 26, 4, 10, 10.5, -0.5, 'OVER', 10, 0, 'PASS']
    8 ['CAM', 'Cluster s

    … 1,098 more characters of output in the raw trajectory.

  29. 29exec1

    Tool execution only — no assistant text

    execconst patch = "*** Begin Patch\n*** Update File: build_reset_workbook.py\n@@\n- (\"Proposal capacity failures\", '=COUNTIF(\\'Capacity Check\\'!$H$5:$H$10,\"OVER\")-COUNTIF(\\'Capacity Check\\'!$A$5:$A$10,\"MET\")+1', \"Four of five cluster proposals exceed live capacity; MET fits but its sushi footprint conflicts with signed route scope.\"),\n+ (\"Proposal capacity failures\", '=COUNTIF(\\'Capacity Check\\'!$H$5:$H$10,\"OVER\")', \"Four of five cluster proposals exceed live capacity; MET fits but its sushi footprint conflicts with sig

    Arguments

    const patch = "*** Begin Patch\n*** Update File: build_reset_workbook.py\n@@\n-    (\"Proposal capacity failures\", '=COUNTIF(\\'Capacity Check\\'!$H$5:$H$10,\"OVER\")-COUNTIF(\\'Capacity Check\\'!$A$5:$A$10,\"MET\")+1', \"Four of five cluster proposals exceed live capacity; MET fits but its sushi footprint conflicts with signed route scope.\"),\n+    (\"Proposal capacity failures\", '=COUNTIF(\\'Capacity Check\\'!$H$5:$H$10,\"OVER\")', \"Four of five cluster proposals exceed live capacity; MET fits but its sushi footprint conflicts with sig

    … 82 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 exec1k chars

    Arguments

    const r = await tools.exec_command({cmd:"python /workspace/build_reset_workbook.py >/tmp/bmm_workbook_build.log && python /root/.agents/skills/xlsx/scripts/recalc.py /workspace/output/reset_decision_workbook.xlsx 60 && sed -n '1,20p' /tmp/bmm_workbook_build.log","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":30000});
    text(r.output);

    Output

    Script completed
    Wall time 6.1 seconds
    Output:
    
    /workspace/build_reset_workbook.py:293: DeprecationWarning: Call to deprecated function copy (Use copy(obj) or cell.obj = cell.obj + other).
      for c in (1,3,5,24): ws.cell(r,c).font = ws.cell(r,c).font.copy(color=INPUT_BLUE if c in (1,3,5) else GRAY)
    /workspace/build_reset_workbook.py:436: DeprecationWarning: Call to deprecated function copy (Use copy(obj) or cell.obj = cell.obj + other).
      ws.cell(r,c).font = ws.cell(r,c).font.copy(color=INPUT_BLUE if c in (10,11,12,13,25,26) else BLACK)
    /workspace/build_reset_workbook.py:98: DeprecationWarning: Call to deprecated function copy (Use copy(obj) or cell.obj = cell.obj + other).
      c.font = c.font.copy(name="Arial")
    /workspace/build_reset_workbook.py:99: DeprecationWarning: Call to deprecated function copy (Use copy(obj) or cell.obj = cell.obj + other).
      c.alignment = c.alignment.copy(vertical="top")
    /workspace/bu

    … 319 more characters of output in the raw trajectory.

  31. 31exec1

    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,\n+ LevelFormat, PageBreak, PageNumber, Packer, Paragraph, ShadingType,\n+ TabStopPosition, TabStopType, Table, TableCell, TableRow, TextRun,\n+ VerticalAlign, WidthType\n+} = require('/tmp/bmm-docx-runtime/node_modules/docx');\n+\n+const OUT = '/workspace/output/grab_go_reset_memo.docx';\n+const CONTENT = 10368;\n+const NAVY = '17365D';\n+const BLUE = '1F4E78';\n+const TEAL = '0F6B78';\n+cons

    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,\n+  LevelFormat, PageBreak, PageNumber, Packer, Paragraph, ShadingType,\n+  TabStopPosition, TabStopType, Table, TableCell, TableRow, TextRun,\n+  VerticalAlign, WidthType\n+} = require('/tmp/bmm-docx-runtime/node_modules/docx');\n+\n+const OUT = '/workspace/output/grab_go_reset_memo.docx';\n+const CONTENT = 10368;\n+const NAVY = '17365D';\n+const BLUE = '1F4E78';\n+const TEAL = '0F6B78';\n+cons

    … 20,812 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 0.0 seconds
    Output:
    
    {}
  32. 32Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"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:
    
    /workspace/output/grab_go_reset_memo.docx
    
    Paragraphs: 0 → 204 (+204)
    All validations PASSED!
    
  33. 33The workbook is built and recalculates cleanly with 3,341 formulas and zero formula errors. The memo is also generated a…

    The workbook is built and recalculates cleanly with 3,341 formulas and zero formula errors. The memo is also generated and passes DOCX validation; I’m now rendering both outputs for visual QA and checking that the memo’s page breaks, tables, and figures remain readable.

  34. 34Shell1

    Tool execution only — no assistant text

    Shellvia exec15k chars

    Arguments

    const r = await tools.exec_command({cmd:"render_dir=$(mktemp -d /tmp/bmm-memo-render.XXXXXX)\npython /root/.agents/skills/docx/scripts/office/soffice.py --headless --convert-to pdf --outdir \"$render_dir\" /workspace/output/grab_go_reset_memo.docx\npdfinfo \"$render_dir/grab_go_reset_memo.pdf\"\npdftotext -layout \"$render_dir/grab_go_reset_memo.pdf\" \"$render_dir/grab_go_reset_memo.txt\"\npdftoppm -png -r 120 \"$render_dir/grab_go_reset_memo.pdf\" \"$render_dir/page\" >/dev/null 2>&1\nprintf 'RENDER_DIR=%s\\n' \"$render_dir\"\nprintf '\\nTEXT

    … 288 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 2.1 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/bmm-memo-render.o9FlS1/grab_go_reset_memo.pdf using filter : writer_pdf_Export
    Title:           Blue Mesa Market July Grab-and-Go Reset Memo
    Author:          OpenAI
    Creator:         Writer
    Producer:        LibreOffice 25.2.3.2 (X86_64) / LibreOffice Community
    CreationDate:    Thu Aug 20 02:35:36 2026 UTC
    Custom Metadata: no
    Metadata Stream: yes
    Tagged:          yes
    UserProperties:  no
    Suspects:        no
    Form:            none
    JavaScript:      no
    Pages:           4
    Encrypted:       no
    Page size:       612 x 792 pts (letter)
    Page rot:        0
    File size:       133254 bytes
    Optimized:       no
    PDF version:     1.7
    RENDER_DIR=/tmp/bmm-memo-render.o9FlS1
    
    TEXT PREVIEW
    BLUE MESA MARKET | PREPARED FOODS     

    … 13,572 more characters of output in the raw trajectory.

  35. 35exec1

    Tool execution only — no assistant text

    execconst imgs = await Promise.all([ tools.view_image({path:"/tmp/bmm-memo-render.o9FlS1/page-1.png",detail:"high"}), tools.view_image({path:"/tmp/bmm-memo-render.o9FlS1/page-2.png",detail:"high"}), tools.view_image({path:"/tmp/bmm-memo-render.o9FlS1/page-3.png",detail:"high"}), tools.view_image({path:"/tmp/bmm-memo-render.o9FlS1/page-4.png",detail:"high"}) ]); for (const im of imgs) image(im.image_url);1.1M chars

    Arguments

    const imgs = await Promise.all([
      tools.view_image({path:"/tmp/bmm-memo-render.o9FlS1/page-1.png",detail:"high"}),
      tools.view_image({path:"/tmp/bmm-memo-render.o9FlS1/page-2.png",detail:"high"}),
      tools.view_image({path:"/tmp/bmm-memo-render.o9FlS1/page-3.png",detail:"high"}),
      tools.view_image({path:"/tmp/bmm-memo-render.o9FlS1/page-4.png",detail:"high"})
    ]);
    for (const im of imgs) image(im.image_url);

    Output

    Script completed
    Wall time 0.0 seconds
    Output:
    

    … 1,107,186 more characters of output in the raw trajectory.

  36. 36Shell1

    Tool execution only — no assistant text

    Shellvia exec1k chars

    Arguments

    const r = await tools.exec_command({cmd:"xlsx_render=$(mktemp -d /tmp/bmm-xlsx-render.XXXXXX)\npython /root/.agents/skills/xlsx/scripts/office/soffice.py --headless --convert-to pdf --outdir \"$xlsx_render\" /workspace/output/reset_decision_workbook.xlsx\npdfinfo \"$xlsx_render/reset_decision_workbook.pdf\" | sed -n '1,24p'\npdftoppm -png -r 100 -f 1 -l 3 \"$xlsx_render/reset_decision_workbook.pdf\" \"$xlsx_render/page\" >/dev/null 2>&1\nprintf 'RENDER_DIR=%s\\n' \"$xlsx_render\"\nfind \"$xlsx_render\" -maxdepth 1 -name 'page-*.png' -printf '%p\\n' |

    … 108 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 2.1 seconds
    Output:
    
    Warning: failed to launch javaldx - java may not function correctly
    convert /workspace/output/reset_decision_workbook.xlsx as a Calc document -> /tmp/bmm-xlsx-render.zbgoaJ/reset_decision_workbook.pdf using filter : calc_pdf_Export
    Title:           Blue Mesa Market July Grab-and-Go Reset Decision Workbook
    Subject:         Cluster decisions, item economics, proposal reconciliation, and capacity check
    Keywords:        Blue, Mesa, Market, grab-and-go, prepared, foods, reset, capacity, shrink
    Author:          OpenAI
    Creator:         Calc
    Producer:        LibreOffice 25.2.3.2 (X86_64) / LibreOffice Community
    CreationDate:    Thu Aug 20 02:35:48 2026 UTC
    Custom Metadata: no
    Metadata Stream: yes
    Tagged:          yes
    UserProperties:  no
    Suspects:        no
    Form:            none
    JavaScript:      no
    Pages:           15
    Encrypted:       no
    Page size:       792 x

    … 280 more characters of output in the raw trajectory.

  37. 37exec1

    Tool execution only — no assistant text

    execconst imgs = await Promise.all([ tools.view_image({path:"/tmp/bmm-xlsx-render.zbgoaJ/page-01.png",detail:"high"}), tools.view_image({path:"/tmp/bmm-xlsx-render.zbgoaJ/page-02.png",detail:"high"}), tools.view_image({path:"/tmp/bmm-xlsx-render.zbgoaJ/page-03.png",detail:"high"}) ]); for (const im of imgs) image(im.image_url);311k chars

    Arguments

    const imgs = await Promise.all([
      tools.view_image({path:"/tmp/bmm-xlsx-render.zbgoaJ/page-01.png",detail:"high"}),
      tools.view_image({path:"/tmp/bmm-xlsx-render.zbgoaJ/page-02.png",detail:"high"}),
      tools.view_image({path:"/tmp/bmm-xlsx-render.zbgoaJ/page-03.png",detail:"high"})
    ]);
    for (const im of imgs) image(im.image_url);

    Output

    Script completed
    Wall time 0.0 seconds
    Output:
    

    … 310,388 more characters of output in the raw trajectory.

  38. 38Visual QA is clean: the memo renders as a readable four-page US Letter document, and the workbook’s decision summary, ca…

    Visual QA is clean: the memo renders as a readable four-page US Letter document, and the workbook’s decision summary, capacity, source, and economics sheets render correctly. I’m doing the final cross-file audit now—capacity pass/fail counts, support caps, no supplier-projection formula links, and exact agreement between memo figures and workbook calculations.

  39. 39Shell1

    Tool execution only — no assistant text

    Shellvia exec

    Arguments

    const r = await tools.exec_command({cmd:"python /root/.agents/skills/xlsx/scripts/office/validate.py /workspace/output/reset_decision_workbook.xlsx\npython - <<'PY'\nfrom pathlib import Path\nfrom openpyxl import load_workbook\np=Path('/workspace/output/reset_decision_workbook.xlsx')\nwf=load_workbook(p,data_only=False,read_only=True)\nwv=load_workbook(p,data_only=True,read_only=True)\nformulas=[]\nfor ws in wf.worksheets:\n    for row in ws.iter_rows():\n        for c in row:\n            if isinstance(c.value,str) and c.value.startswith('='):\n                formulas.

    … 1,589 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 2.0 seconds
    Output:
    
    Error: Validation not supported for file type .xlsx
    AUDIT_OK
    sheets ['Cluster Decisions', 'Proposal Source', 'Item Master', 'Capacity Source', 'POS Detail', 'Rules & Signed Terms', 'Item Economics', 'Decision Detail', 'Capacity Check', '4-Week Economics']
    formulas 3341
    proposal_over_capacity 4
    final_capacity_failures 0
    four_week_waste_delta -124.425
    four_week_gp_delta_before_support 3763.171
    signed_support 658.3945
    four_week_gp_delta_with_support 4421.5655
    
    Paragraphs: 0 → 204 (+204)
    All validations PASSED!
    grab_go_reset_memo.docx	17600 bytes
    reset_decision_workbook.xlsx	112605 bytes
    7f4c2f5feea609318dc4280a4ed0a64cb64905ebdee073334f1216ea41d64d2e  /workspace/output/grab_go_reset_memo.docx
    b65824c2b569f2d73ecc9ee78d4051d453e6f70bd9410824aed920b24bdf8a96  /workspace/output/reset_decision_workbook.xlsx
    
  40. 40exec1

    Tool execution only — no assistant text

    execconst r = await tools.update_plan({explanation:"Both deliverables are complete. The workbook recalculates with zero formula errors and passed cross-file audits; the memo validates and renders cleanly as four pages.",plan:[ {step:"Read document/spreadsheet skill guidance and inventory source files",status:"completed"}, {step:"Extract authoritative rules, records, signed terms, and proposal details",status:"completed"}, {step:"Reconcile item economics, cluster decisions, delivery constraints, and capacity",status:"completed"}, {step:"Build and validate the Ex

    Arguments

    const r = await tools.update_plan({explanation:"Both deliverables are complete. The workbook recalculates with zero formula errors and passed cross-file audits; the memo validates and renders cleanly as four pages.",plan:[
      {step:"Read document/spreadsheet skill guidance and inventory source files",status:"completed"},
      {step:"Extract authoritative rules, records, signed terms, and proposal details",status:"completed"},
      {step:"Reconcile item economics, cluster decisions, delivery constraints, and capacity",status:"completed"},
      {step:"Build and validate the Ex

    … 148 more characters of arguments in the raw trajectory.

    Output

    Script completed
    Wall time 0.0 seconds
    Output:
    
    {}
  41. 41Completed both deliverables: - [Merchant memo](/workspace/output/grab_go_reset_memo.docx) - [Decision workbook](/workspa…

    Completed both deliverables:

    • Merchant memo
    • Decision workbook

    Recommendation fits all live cases, reduces modeled four-week waste 21.3%, and adds $3,763 shrink-adjusted GP before $658 of conditional signed support. Workbook recalculates with zero formula errors.

5 failure modes across 8 verifier failures

  1. 1Allocation or Selection Plan IncorrectView on Failure Modes ↗Reasoning and Computation2 failures

    Description

    After eligibility is established, does the artifact assign a scarce resource, facing, shelf position, assortment item, or appointment slot to the wrong recipient or produce the wrong required final set?

    Failure evidence · per affected verifier

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

    • The workbook's final facing counts for Chicken Caesar Wrap, Southwest Chicken Bowl, and the other graded SKUs consistently differ from the required per-cluster values.

  2. 2Quantity, Cost, Capacity, or Rate Calculation WrongView on Failure Modes ↗Reasoning and Computation2 failures

    Description

    With the correct source rows and eligibility decisions available, is a required order quantity, excess, cost, credit, capacity, production-mix value, threshold flag, or weighted rate calculated incorrectly?

    Failure evidence · per affected verifier

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

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

  3. 3Required Evidence Fields or Rows OmittedView on Failure Modes ↗Deliverable Completion and Structure2 failures

    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 cluster-SKU decision matrix is truncated partway through the clusters, so rows for the remaining clusters and SKUs are never shown.

    • The proposal-reconciliation content is truncated, entirely absent, or missing the required accept/reduce/reject status label even where the buyer and final values themselves are correct.

  4. 4Unsupported Permission or Source Fact IntroducedView on Failure Modes ↗Input and Instruction Comprehension1 failure

    Description

    Does the recommendation depend on a waiver, approval, route, credit, corrective action, operating permission, or factual premise that is not documented in the packet?

    Failure evidence · per affected verifier

    • The memo counts a $149 Caprese scan allowance that is not among the signed vendor credits the packet documents.

  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.