task_116Retail trade

Arguments

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

Output

Script completed
Wall time 0.1 seconds
Output:

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

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

Arguments

const r = await tools.exec_command({"cmd":"wc -l /root/.agents/skills/docx/SKILL.md /root/.agents/skills/xlsx/SKILL.md && sed -n '241,520p' /root/.agents/skills/docx/SKILL.md && sed -n '261,620p' /root/.agents/skills/xlsx/SKILL.md","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":40000});
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
  881 total
new Paragraph({ children: [new PageBreak()] })

// Or use pageBreakBefore
new Paragraph({ pageBreakBefore: true, children: [new TextRun("New page")] })
```

### Hyperlinks

```javascript
// External link
new Paragraph({
  children: [new ExternalHyperlink({
    children: [new TextRun({ text: "Click here", style: "Hyperlink" })],
    link: "https://example.com",
  })]
})

// Internal link (bookmark + reference)
// 1. Create bookmark at destination
new Paragraph({ heading: HeadingLevel.HEADING_1, children: [
  new Bookmark({ id: "chapter1", children: [new TextRun("Chapter 1")] }),
]})
// 2. Link to it
new Paragraph({ children: [new InternalHyperlink({
  children: [new TextRun({ text: "See Chapter 1", style: "Hyperlink" })],
  anchor: "chapter1",
})]})

… 10,341 more characters of output in the raw trajectory.

Arguments

const r = await tools.exec_command({"cmd":"sed -n '521,660p' /root/.agents/skills/docx/SKILL.md && sed -n '261,340p' /root/.agents/skills/xlsx/SKILL.md","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":20000});
text(r.output);

Output

Script completed
Wall time 0.1 seconds
Output:

```xml
<w:del w:author="Jane" w:id="5">
  <w:r><w:delText>deleted text</w:delText></w:r>
</w:del>
<w:ins w:author="Claude" w:id="10">
  <w:r><w:t>deleted text</w:t></w:r>
</w:ins>
```

### Comments

After running `comment.py` (see Step 2), add markers to document.xml. For replies, use `--parent` flag and nest markers inside the parent's.

**CRITICAL: `<w:commentRangeStart>` and `<w:commentRangeEnd>` are siblings of `<w:r>`, never inside `<w:r>`.**

```xml
<!-- Comment markers are direct children of w:p, never inside w:r -->
<w:commentRangeStart w:id="0"/>
<w:del w:id="1" w:author="Claude" w:date="2025-01-01T00:00:00Z">
  <w:r><w:delText>deleted</w:delText></w:r>
</w:del>
<w:r><w:t> more text</w:t></w:r>
<w:commentRangeEnd w:id="0"/>
<w:r><w:rPr><w:rStyle w:val="CommentReference"/></w:rPr><w:commentReference w:id="0"/></w:r>

<!-- Comment 0 wit

… 2,813 more characters of output in the raw trajectory.

Arguments

const r = await tools.update_plan({explanation:"I’ll first inventory and extract the source materials, then reconcile first-four-week decisions and economics, and finally build and validate both deliverables.",plan:[{step:"Inventory and extract attached materials",status:"in_progress"},{step:"Reconcile proposal against authoritative rules, internal demand, and signed terms",status:"pending"},{step:"Build and validate decision workbook",status:"pending"},{step:"Create and validate merchant memo",status:"pending"}]});
text(typeof r === "string" ? r : JSON.stringify

… 7 more characters of arguments in the raw trajectory.

Output

Script completed
Wall time 0.0 seconds
Output:

{}

Arguments

const r = await tools.exec_command({"cmd":"pwd && rg --files -g '!output/**' -g '!node_modules/**' | sed -n '1,240p'","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":30000});
text(r.output);

Output

Script completed
Wall time 0.3 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

Arguments

const r = await tools.exec_command({"cmd":"wc -l /root/.agents/skills/pdf/SKILL.md && sed -n '1,360p' /root/.agents/skills/pdf/SKILL.md","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":40000});
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.

Arguments

const r = await tools.exec_command({"cmd":"mkdir -p /workspace/output /workspace/.work && file data/* && wc -l data/*.csv && pandoc data/merchant_handoff_prepared_foods.docx -t gfm -o .work/merchant_handoff.md && pdftotext -layout data/signed_vendor_offer_letters.pdf .work/vendor_letters.txt && sed -n '1,260p' .work/merchant_handoff.md && printf '\\n--- VENDOR LETTERS ---\\n' && sed -n '1,360p' .work/vendor_letters.txt","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":50000});
text(r.output);

Output

Script completed
Wall time 0.1 seconds
Output:

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

Arguments

const r = await tools.exec_command({"cmd":"mkdir -p /workspace/output /workspace/.work\nwc -l data/*.csv\npandoc data/merchant_handoff_prepared_foods.docx -t gfm -o .work/merchant_handoff.md\npdftotext -layout data/signed_vendor_offer_letters.pdf .work/vendor_letters.txt\nsed -n '1,280p' .work/merchant_handoff.md\nprintf '\\n--- VENDOR LETTERS ---\\n'\nsed -n '1,400p' .work/vendor_letters.txt","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":60000});
text(r.output);

Output

Script completed
Wall time 0.3 seconds
Output:

   51 data/buyer_reset_proposal.csv
   11 data/item_master_unit_economics.csv
    6 data/store_cluster_capacity.csv
  369 data/weekly_pos_inventory_waste.csv
  437 total
/bin/bash: line 3: pandoc: command not found
sed: can't read .work/merchant_handoff.md: No such file or directory

--- VENDOR LETTERS ---
        Signed Vendor Offer Letters - Prepared Foods Q3 2026
Blue Mesa Market internal copy. These are the signed terms that supersede informal proposal notes.


GreenFork Kitchen
Signed June 5, 2026 by M. Patel, GreenFork Kitchen
 Term                      Signed language

 Covered items             GGS-5MTC Hummus Veggie Wrap; GGS-3RZA Caprese Ciabatta

 Launch support            $0.40 per scanned unit on GGS-3RZA receipts dated July 13-August 9, capped at 5,500 scanned units.

 Shrink credit             30% credit on documented waste units for

… 2,598 more characters of output in the raw trajectory.

Arguments

const r = await tools.exec_command({"cmd":"command -v libreoffice || true\ncommand -v docx2txt || true\ncommand -v python\nrg --files /root /tmp/codex-home 2>/dev/null | rg '(^|/)unpack\\.py$|(^|/)validate\\.py$|(^|/)recalc\\.py$|soffice\\.py$' | sed -n '1,120p'\nunzip -l data/merchant_handoff_prepared_foods.docx | sed -n '1,120p'","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":20000});
text(r.output);

Output

Script completed
Wall time 0.1 seconds
Output:

/usr/bin/libreoffice
/usr/local/bin/python
/bin/bash: line 5: unzip: command not found

Arguments

const r = await tools.exec_command({"cmd":"python - <<'PY'\nfrom docx import Document\npath='data/merchant_handoff_prepared_foods.docx'\ndoc=Document(path)\nfor i,p in enumerate(doc.paragraphs,1):\n    text=p.text.strip()\n    if text:\n        print(f'P{i}: {text}')\nfor ti,t in enumerate(doc.tables,1):\n    print(f'\\nTABLE {ti}')\n    for row in t.rows:\n        print(' | '.join(c.text.replace('\\n',' / ') for c in row.cells))\nPY","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":40000});
text(r.output);

Output

Script completed
Wall time 0.5 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.

Arguments

const r = await tools.exec_command({"cmd":"python - <<'PY'\nimport pandas as pd\nfrom pathlib import Path\nfor name in ['item_master_unit_economics.csv','store_cluster_capacity.csv','buyer_reset_proposal.csv']:\n    print('\\n###',name)\n    df=pd.read_csv(Path('data')/name)\n    print('columns:',list(df.columns))\n    print(df.to_string(index=False))\nPY","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":50000});
text(r.output);

Output

Script completed
Wall time 1.6 seconds
Output:


### item_master_unit_economics.csv
columns: ['sku', 'item', 'status', 'vendor', 'role', 'diet_flag', 'shelf_life_days', 'case_pack', 'tray_slots_per_facing', 'retail_price', 'unit_cost', 'order_multiple_cases', 'first_available_date', 'current_core']
     sku                      item           status            vendor                       role      diet_flag  shelf_life_days  case_pack  tray_slots_per_facing  retail_price  unit_cost  order_multiple_cases first_available_date current_core
GGS-84QJ       Chicken Caesar Wrap          Current     EatWell Foods                  Core wrap           Meat                3         12                    1.0          5.99       2.38                     1           2024-03-18          Yes
GGS-2VWK      Turkey Club Sandwich          Current     EatWell Foods              Core sandwich           Meat                3        

… 16,738 more characters of output in the raw trajectory.

Arguments

const r = await tools.exec_command({"cmd":"python - <<'PY'\nimport pandas as pd\np='data/weekly_pos_inventory_waste.csv'\ndf=pd.read_csv(p)\nprint('columns:',list(df.columns))\nprint('shape:',df.shape)\nprint('\\nfirst 30:')\nprint(df.head(30).to_string(index=False))\nprint('\\nunique counts:')\nfor c in df.columns:\n    print(c,df[c].nunique(),sorted(map(str,df[c].dropna().unique()))[:30])\nPY","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":50000});
text(r.output);

Output

Script completed
Wall time 1.1 seconds
Output:

columns: ['week_start', 'cluster_code', 'cluster_name', 'sku', 'item', 'range_type', 'stores_ranged', 'net_sales_units', 'waste_units', 'oos_store_days', 'receipts_units', 'ending_on_hand_units']
shape: (368, 12)

first 30:
week_start cluster_code      cluster_name      sku                item  range_type  stores_ranged  net_sales_units  waste_units  oos_store_days  receipts_units  ending_on_hand_units
2026-04-06          MET        Metro Core GGS-84QJ Chicken Caesar Wrap Current set             18               99            5             5.2             102                    26
2026-04-13          MET        Metro Core GGS-84QJ Chicken Caesar Wrap Current set             18               98            5             5.3             107                    30
2026-04-20          MET        Metro Core GGS-84QJ Chicken Caesar Wrap Current set             18       

… 6,757 more characters of output in the raw trajectory.

Arguments

const r = await tools.exec_command({"cmd":"python - <<'PY'\nimport pandas as pd\npd.set_option('display.max_rows',500)\ndf=pd.read_csv('data/weekly_pos_inventory_waste.csv')\nagg=(df.groupby(['range_type','sku','item','cluster_code','cluster_name','stores_ranged'],as_index=False)\n       .agg(weeks=('week_start','nunique'),sales=('net_sales_units','sum'),waste=('waste_units','sum'),oos_days=('oos_store_days','sum'),receipts=('receipts_units','sum'),ending_oh=('ending_on_hand_units','mean')))\nagg['sales/store/wk']=agg.sales/(agg.stores_ranged*agg.weeks)\nagg['waste % sellab

… 479 more characters of arguments in the raw trajectory.

Output

Script completed
Wall time 1.1 seconds
Output:

      range_type      sku                      item cluster_code      cluster_name  stores_ranged  weeks  sales  waste  oos_days  receipts ending_oh sales/store/wk waste % sellable waste % receipts oos days/store/wk
Controlled pilot GGS-3RZA          Caprese Ciabatta          CAM Campus / Hospital              5      8    132      9       1.7       153      12.2           3.30             6.4%             5.9%              0.04
Controlled pilot GGS-3RZA          Caprese Ciabatta          COM Commuter Suburban              8      8    117     23       3.3       142      12.5           1.83            16.4%            16.2%              0.05
Controlled pilot GGS-3RZA          Caprese Ciabatta          MET        Metro Core              9      8    228     21       3.8       256      15.4           3.17             8.4%             8.2%              0.05
Controlled pi

… 9,321 more characters of output in the raw trajectory.

Arguments

const r = await tools.exec_command({"cmd":"rg --files / 2>/dev/null | rg '/(recalc\\.py|validate\\.py|unpack\\.py|soffice\\.py)$' | sed -n '1,160p'","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":30000});
text(r.output);

Output

Script completed
Wall time 0.8 seconds
Output:

/harbor/skills/xlsx/scripts/recalc.py
/harbor/skills/xlsx/scripts/office/validate.py
/harbor/skills/xlsx/scripts/office/unpack.py
/harbor/skills/xlsx/scripts/office/soffice.py
/harbor/skills/docx/scripts/office/validate.py
/harbor/skills/docx/scripts/office/unpack.py
/harbor/skills/docx/scripts/office/soffice.py
/usr/local/lib/python3.11/wsgiref/validate.py
/usr/lib/python3.13/wsgiref/validate.py
/usr/local/lib/python3.11/site-packages/wheel/_commands/unpack.py
/usr/local/lib/python3.11/site-packages/setuptools/_vendor/wheel/cli/unpack.py

Arguments

const r = await tools.exec_command({"cmd":"node -e \"console.log(require.resolve('docx'))\"","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":10000});
text(r.output);

Output

Script completed
Wall time 0.1 seconds
Output:

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

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

Node.js v22.23.2

Arguments

const r = await tools.exec_command({"cmd":"python - <<'PY'\nimport pandas as pd\npd.set_option('display.max_columns', None)\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').set_index('cluster_code')\n# Final first-4-week item/facings. sushi shown separately and excluded from all-MET weighted totals.\nfinal={\n'MET': {'GGS-84QJ':2,'GGS-2VWK':1,'GGS-9PQL':1,'GGS-7DNL':1,'GGS-3RZA':1,'GGS-6BGH':2,'GGS-8XUY':1},\n'COM': {'GGS-84QJ':2,'GGS-2VWK':1,'GGS-9PQL':1,

… 3,543 more characters of arguments in the raw trajectory.

Output

Script completed
Wall time 1.1 seconds
Output:


FINAL ECONOMICS BY CLUSTER / SKU (sushi extrapolated to all MET only for visibility; should be excluded from total due M-11 scope)
cluster      sku                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           

… 30,915 more characters of output in the raw trajectory.

Arguments

const r = await tools.exec_command({"cmd":"python - <<'PY'\n# compact core points plus rejected item economics\nimport pandas as pd\npos=pd.read_csv('data/weekly_pos_inventory_waste.csv')\nmaster=pd.read_csv('data/item_master_unit_economics.csv')\nterms={}\n# performance economics $ / store week for each cluster sku with eligible signed first-4-week support, as relevant possible routes\nagg=pos.groupby(['cluster_code','sku'],as_index=False).agg(stores=('stores_ranged','first'),weeks=('week_start','nunique'),sales=('net_sales_units','sum'),waste=('waste_units','sum'),oos=('o

… 1,334 more characters of arguments in the raw trajectory.

Output

Script completed
Wall time 1.1 seconds
Output:

cluster_code      sku                      item sales_pw waste_pw waste_pct oos_pw gp_pw  shelf_life_days  tray_slots_per_facing
         CAM GGS-1KFV       Egg Salad Croissant     1.57     0.36     18.8%   0.05  4.20                2                    1.0
         CAM GGS-2VWK      Turkey Club Sandwich     3.48     0.19      5.3%   0.05 12.88                3                    1.0
         CAM GGS-3RZA          Caprese Ciabatta     3.30     0.23      6.4%   0.04 13.67                2                    1.0
         CAM GGS-4HBP Turkey Cranberry Sandwich     0.69     0.20     22.8%   0.05  1.92                3                    1.0
         CAM GGS-5MTC        Hummus Veggie Wrap     3.10     0.24      7.1%   0.04 10.52                2                    1.0
         CAM GGS-6BGH         Protein Snack Box     5.60     0.20      3.4%   0.24 22.93             

… 5,232 more characters of output in the raw trajectory.

Arguments

const r = await tools.exec_command({"cmd":"python - <<'PY'\nimport pandas as pd\np=pd.read_csv('data/buyer_reset_proposal.csv')\nm=pd.read_csv('data/item_master_unit_economics.csv')[['sku','tray_slots_per_facing']]\nc=pd.read_csv('data/store_cluster_capacity.csv')[['cluster_code','cluster_name','tray_slots_available']]\nx=p.merge(m,on='sku')\nx['slots']=x.proposed_facings*x.tray_slots_per_facing\nprint(x.groupby(['cluster_code','cluster_name'],as_index=False).agg(proposed_slots=('slots','sum')).merge(c,on=['cluster_code','cluster_name']).assign(variance=lambda d:d.proposed_

… 320 more characters of arguments in the raw trajectory.

Output

Script completed
Wall time 1.0 seconds
Output:

cluster_code      cluster_name  proposed_slots  tray_slots_available  variance
         CAM Campus / Hospital            10.5                  10.0       0.5
         COM Commuter Suburban            10.5                  10.0       0.5
         HWY  Highway / Travel             8.5                   8.0       0.5
         MET        Metro Core            12.0                  12.0       0.0
         RUR       Rural North             7.5                   7.0       0.5

Details:
cluster_code      sku                      item proposed_action  proposed_facings  tray_slots_per_facing  slots
         MET GGS-84QJ       Chicken Caesar Wrap            Keep                 2                    1.0    2.0
         MET GGS-2VWK      Turkey Club Sandwich            Keep                 1                    1.0    1.0
         MET GGS-9PQL    Southwest Chicken Bowl   

… 5,377 more characters of output in the raw trajectory.

Arguments

const r = await tools.update_plan({explanation:"Source extraction is complete. I have reconciled proposal conflicts against the merchant rules, internal eight-week performance, capacity, and signed vendor terms; I’m now building the decision model and final deliverables.",plan:[{step:"Inventory and extract attached materials",status:"completed"},{step:"Reconcile proposal against authoritative rules, internal demand, and signed terms",status:"in_progress"},{step:"Build and validate decision workbook",status:"pending"},{step:"Create and validate merchant memo",status:"

… 72 more characters of arguments in the raw trajectory.

Output

Script completed
Wall time 0.0 seconds
Output:

{}

Arguments

const patch = "*** Begin Patch\n*** Add File: /workspace/.work/generate_workbook.py\n+from pathlib import Path\n+import pandas as pd\n+from openpyxl import Workbook\n+from openpyxl.styles import Font, PatternFill, Border, Side, Alignment\n+from openpyxl.comments import Comment\n+from openpyxl.formatting.rule import CellIsRule, FormulaRule\n+from openpyxl.utils import get_column_letter\n+\n+\n+ROOT = Path('/workspace')\n+DATA = ROOT / 'data'\n+OUT = ROOT / 'output' / 'reset_decision_workbook.xlsx'\n+\n+NAVY = '1F4E78'\n+MID_BLUE = '5B9BD5'\n+PALE_BLUE = 'D9EAF7'\n+P

… 53,191 more characters of arguments in the raw trajectory.

Output

Script completed
Wall time 0.0 seconds
Output:

{}

Arguments

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

Output

Script completed
Wall time 2.6 seconds
Output:

/workspace/output/reset_decision_workbook.xlsx

Arguments

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

Output

Script completed
Wall time 4.4 seconds
Output:

status: success
total_errors: 0
error_summary: {}
total_formulas: 1502

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=True)\nfor s in ['Executive Summary','Capacity Check','Final Assortment']:\n    ws=wb[s]\n    print('\\n###',s)\n    for row in ws.iter_rows(min_row=1,max_row=min(ws.max_row,35),values_only=True):\n        if any(v is not None for v in row): print(row[:12])\nPY","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":50000});
text(r.output);

Output

Script completed
Wall time 0.7 seconds
Output:


### Executive Summary
('Blue Mesa Market | Refrigerated Grab-and-Go July Reset Decision', None, None, None, None, None, None, None, None)
('Recommendation: approve a changed four-week reset, not the buyer proposal as submitted. Protect core lunch winners, carry only signed-route launches, retain one credible vegetarian lunch option in every cluster, and leave nonproductive capacity open.', None, None, None, None, None, None, None, None)
('Decision at a glance', None, None, None, None, None, None, None, None)
('Metric', 'Value', 'Meaning', None, None, None, None, None, None)
('Proposal rows accepted', 35, 'Rows carried exactly as proposed.', None, None, None, None, None, None)
('Proposal rows changed', 5, 'Facing or scope changed, while retaining the underlying intent where justified.', None, None, None, None, None, None)
('Proposal rows rejected', 10, 'Proposa

… 6,617 more characters of output in the raw trajectory.

Arguments

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

Output

Script completed
Wall time 1.8 seconds
Output:


added 22 packages in 2s

1 package is looking for funding
  run `npm fund` for details

Arguments

const r = await tools.exec_command({"cmd":"node -e \"console.log(require.resolve('docx'))\"","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":10000});
text(r.output);

Output

Script completed
Wall time 0.1 seconds
Output:

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

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

Node.js v22.23.2

Arguments

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

Output

Script completed
Wall time 0.2 seconds
Output:

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

Arguments

const patch = "*** Begin Patch\n*** Add File: /workspace/.work/generate_memo.js\n+const fs = require('fs');\n+const {\n+  Document, Packer, Paragraph, TextRun, Table, TableRow, TableCell,\n+  WidthType, BorderStyle, ShadingType, AlignmentType, VerticalAlign,\n+  Header, Footer, PageNumber, PageBreak, LevelFormat, HeadingLevel,\n+} = require('/root/.nvm/versions/node/v22.23.2/lib/node_modules/docx');\n+\n+const out = '/workspace/output/grab_go_reset_memo.docx';\n+const NAVY = '1F4E78';\n+const BLUE = '5B9BD5';\n+const LIGHT_BLUE = 'D9EAF7';\n+const LIGHT_GREEN = 'E2F0D9'

… 15,314 more characters of arguments in the raw trajectory.

Output

Script completed
Wall time 0.0 seconds
Output:

{}

Arguments

const r = await tools.exec_command({"cmd":"node .work/generate_memo.js","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":30000});
text(r.output);

Output

Script completed
Wall time 0.3 seconds
Output:

/workspace/output/grab_go_reset_memo.docx

Arguments

const r = await tools.exec_command({"cmd":"python /harbor/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 1.4 seconds
Output:


Paragraphs: 0 → 143 (+143)
All validations PASSED!

Arguments

const r = await tools.exec_command({"cmd":"python /harbor/skills/docx/scripts/office/soffice.py --headless --convert-to pdf --outdir .work output/grab_go_reset_memo.docx\npdfinfo .work/grab_go_reset_memo.pdf | sed -n '1,80p'\npdftoppm -jpeg -r 120 .work/grab_go_reset_memo.pdf .work/memo_page\nls -lh .work/memo_page-*.jpg","workdir":"/workspace","yield_time_ms":30000,"max_output_tokens":30000});
text(r.output);

Output

Script completed
Wall time 1.3 seconds
Output:

Warning: failed to launch javaldx - java may not function correctly
convert /workspace/output/grab_go_reset_memo.docx as a Writer document -> /workspace/.work/grab_go_reset_memo.pdf using filter : writer_pdf_Export
Title:           July Refrigerated Grab-and-Go Reset — First Four Weeks
Author:          Blue Mesa Market Category Planning
Creator:         Writer
Producer:        LibreOffice 25.2.3.2 (X86_64) / LibreOffice Community
CreationDate:    Thu Aug 20 01:57:30 2026 UTC
Custom Metadata: no
Metadata Stream: yes
Tagged:          yes
UserProperties:  no
Suspects:        no
Form:            none
JavaScript:      no
Pages:           3
Encrypted:       no
Page size:       612 x 792 pts (letter)
Page rot:        0
File size:       107417 bytes
Optimized:       no
PDF version:     1.7
-rw-r--r-- 1 root root 212K Aug 20 01:57 .work/memo_page-1.jpg
-rw

… 128 more characters of output in the raw trajectory.

Arguments

const r = await Promise.all([
  tools.view_image({"path":"/workspace/.work/memo_page-1.jpg","detail":"high"}),
  tools.view_image({"path":"/workspace/.work/memo_page-2.jpg","detail":"high"}),
  tools.view_image({"path":"/workspace/.work/memo_page-3.jpg","detail":"high"})
]);
for (const x of r) image(x.image_url, x.detail);

Output

Script completed
Wall time 0.1 seconds
Output:

… 781,159 more characters of output in the raw trajectory.

Arguments

const r = await tools.exec_command({"cmd":"ls -lh output\npython - <<'PY'\nfrom openpyxl import load_workbook\np='output/reset_decision_workbook.xlsx'\nwb=load_workbook(p, data_only=False)\nprint('Sheets:', wb.sheetnames)\nfor ws in wb.worksheets:\n    print(ws.title, ws.max_row, ws.max_column)\nPY","workdir":"/workspace","yield_time_ms":10000,"max_output_tokens":30000});
text(r.output);

Output

Script completed
Wall time 0.8 seconds
Output:

total 100K
-rw-r--r-- 1 root root 16K Aug 20 01:57 grab_go_reset_memo.docx
-rw-r--r-- 1 root root 81K Aug 20 01:56 reset_decision_workbook.xlsx
Sheets: ['Executive Summary', 'Proposal Reconciliation', 'Capacity Check', 'Item Economics', 'Signed Terms', 'Final Assortment', 'Item Master', 'Capacity & Delivery', 'Buyer Proposal', 'Weekly POS & Waste']
Executive Summary 34 9
Proposal Reconciliation 54 20
Capacity Check 11 14
Item Economics 50 29
Signed Terms 8 8
Final Assortment 9 8
Item Master 14 14
Capacity & Delivery 9 7
Buyer Proposal 54 9
Weekly POS & Waste 372 12

Arguments

const patch = "*** Begin Patch\n*** Update File: /workspace/.work/generate_memo.js\n@@\n-          ['Capacity', 'Correct four 0.5-slot proposal overages. Final planograms fit every cluster with full facings only; 7.0 tray slots are intentionally left open across the estate.'],\n+          ['Capacity', 'Correct four 0.5-slot proposal overages. Final planograms fit every cluster with full facings only; 7.0 tray slots are intentionally left open across the five cluster planograms.'],\n*** End Patch";
const r = await tools.apply_patch(patch);
text(typeof r === "string" ? r : J

… 20 more characters of arguments in the raw trajectory.

Output

Script completed
Wall time 0.0 seconds
Output:

{}

Arguments

const r = await tools.exec_command({"cmd":"node .work/generate_memo.js\npython /harbor/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:

/workspace/output/grab_go_reset_memo.docx

Paragraphs: 0 → 143 (+143)
All validations PASSED!

Arguments

const r = await tools.update_plan({explanation:"Reconciliation, workbook build, memo build, and validation are complete.",plan:[{step:"Inventory and extract attached materials",status:"completed"},{step:"Reconcile proposal against authoritative rules, internal demand, and signed terms",status:"completed"},{step:"Build and validate decision workbook",status:"completed"},{step:"Create and validate merchant memo",status:"completed"}]});
text(typeof r === "string" ? r : JSON.stringify(r));

Output

Script completed
Wall time 0.0 seconds
Output:

{}