task_116Retail trade

163 of 222 turns are kept here; the rest were cut to fit the trajectory's byte budget, and each cut is marked where it fell.

1. 1userYou 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.

2. 3Bash32k1

   Tool execution only — no assistant text

   Bashfind /workspace -maxdepth 4 -type f | head -200 (+description)

   Arguments

   List files in workspace up to 4 levels deep

   find /workspace -maxdepth 4 -type f | head -200

   Output

   /workspace/data/buyer_reset_proposal.csv
   /workspace/data/item_master_unit_economics.csv
   /workspace/data/merchant_handoff_prepared_foods.docx
   /workspace/data/signed_vendor_offer_letters.pdf
   /workspace/data/store_cluster_capacity.csv
   /workspace/data/weekly_pos_inventory_waste.csv
   
   [stdout]
   /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
   [metadata]
   noOutputExpected: false

3. 5I'll start by reviewing all the attached materials, beginning with the merchant handoff document since it's authoritativ…32k

   I'll start by reviewing all the attached materials, beginning with the merchant handoff document since it's authoritative for business rules.

4. 6Bash1

   Tool execution only — no assistant text

   Bashmkdir -p /workspace/output && ls -la /workspace/data/ (+description)1k chars

   Arguments

   Create output directory and list data files with details

   mkdir -p /workspace/output && ls -la /workspace/data/

   Output

   total 92
   drwxr-xr-x 1 root root  4096 Aug 20 01:07 .
   drwxr-xr-x 1 root root  4096 Aug 20 01:59 ..
   -rw-r--r-- 1 root root  5628 Aug 19 23:31 buyer_reset_proposal.csv
   -rw-r--r-- 1 root root  1291 Aug 19 23:31 item_master_unit_economics.csv
   -rw-r--r-- 1 root root 38588 Aug 19 23:31 merchant_handoff_prepared_foods.docx
   -rw-r--r-- 1 root root  4796 Aug 19 23:31 signed_vendor_offer_letters.pdf
   -rw-r--r-- 1 root root   833 Aug 19 23:31 store_cluster_capacity.csv
   -rw-r--r-- 1 root root 33578 Aug 19 23:31 weekly_pos_inventory_waste.csv
   
   [stdout]
   total 92
   drwxr-xr-x 1 root root  4096 Aug 20 01:07 .
   drwxr-xr-x 1 root root  4096 Aug 20 01:59 ..
   -rw-r--r-- 1 root root  5628 Aug 19 23:31 buyer_reset_proposal.csv
   -rw-r--r-- 1 root root  1291 Aug 19 23:31 item_master_unit_economics.csv
   -rw-r--r-- 1 root root 38588 Aug 19 23:31 merchant_handoff_prepared_foods.docx
   -rw-r--r-- 1 root root  4796 Aug 19 23:31 signed_vendor_offer_letters.pdf
   -rw-r--r-- 1 root root   833 Aug 19 23:31 store_cluster_capacity.c

   … 114 more characters of output in the raw trajectory.

5. 7user{"type": "text", "text": "Base directory for this skill: /logs/agent/sessions/skills/docx\n\n# DOCX creation, editing, a…

   {"type": "text", "text": "Base directory for this skill: /logs/agent/sessions/skills/docx\n\n# DOCX creation, editing, and analysis\n\n## Overview\n\nA .docx file is a ZIP archive containing XML files.\n\n## Quick Reference\n\n| Task | Approach |\n|------|----------|\n| Read/analyze content | pandoc or unpack for raw XML |\n| Create new document | Use docx-js - see Creating New Documents below |\n| Edit existing document | Unpack → edit XML → repack - see Editing Existing Documents below |\n\n### Converting .doc to .docx\n\nLegacy .doc files must be converted before editing:\n\nbash\npython scripts/office/soffice.py --headless --convert-to docx document.doc\n\n\n### Reading Content\n\nbash\n# Text extraction with tracked changes\npandoc --track-changes=all document.docx -o output.md\n\n# Raw XML access\npython scripts/office/unpack.py document.docx unpacked/\n\n\n### Converting to Images\n\nbash\npython scripts/office/soffice.py --headless --convert-to pdf document.docx\npdftoppm -jpeg -r 150 document.pdf page\n\n\n### Accepting Tracked Changes\n\nTo produce a clean document with all tracked changes accepted (requires LibreOffice):\n\nbash\npython scripts/accept_changes.py input.docx output.docx\n\n\n---\n\n## Creating New Documents\n\nGenerate .docx files with JavaScript, then validate. Install: npm install -g docx\n\n### Setup\n```javascript\nconst { Document, Packer, Paragraph, TextRun, Table, TableRow, TableCell, ImageRun,\n Header, Footer, AlignmentType, PageOrientation, LevelFormat, ExternalHyperlink,\n InternalHyperlink, Bookmark, FootnoteReferenceRun, PositionalTab,\n PositionalTabAlignment, PositionalTabRelativeTo, PositionalTabLeader,\n TabStopType, TabStopPosition, Column, SectionType,\n TableOfContents, HeadingLevel, BorderStyle, WidthType, ShadingType,\n VerticalAlign, PageNumber, PageBreak } = require('docx');\n\nconst doc = new Document({ sections: [{ children: [/* content */] }

   … 18,094 more characters in the raw trajectory.

6. 8Skill1

   Tool execution only — no assistant text

   Skilldocx

   Arguments

   docx

   Output

   Launching skill: docx
   
   [metadata]
   success: true
   commandName: docx

7. 10Bash42k1

   Tool execution only — no assistant text

   Bashcd /workspace/data && pandoc --track-changes=all merchant_handoff_prepared_foods.docx -o /tmp/merchant_handoff.md && cat /tmp/merchant_handoff.md (+description)

   Arguments

   Convert merchant handoff docx to markdown for reading

   cd /workspace/data && pandoc --track-changes=all merchant_handoff_prepared_foods.docx -o /tmp/merchant_handoff.md && cat /tmp/merchant_handoff.md

   Output

   Exit code 127
   /bin/bash: line 1: pandoc: command not found
   
   [error] tool reported failure

8. 11Bash1

   Tool execution only — no assistant text

   Bashcd /workspace/data && pdftotext -layout signed_vendor_offer_letters.pdf /tmp/vendor_letters.txt && cat /tmp/vendor_letters.txt (+description)6k chars

   Arguments

   Extract text from vendor offer letters PDF

   cd /workspace/data && pdftotext -layout signed_vendor_offer_letters.pdf /tmp/vendor_letters.txt && cat /tmp/vendor_letters.txt

   Output

   Signed Vendor Offer Letters - Prepared Foods Q3 2026
   Blue Mesa Market internal copy. These are the signed terms that supersede informal proposal notes.
   
   
   GreenFork Kitchen
   Signed June 5, 2026 by M. Patel, GreenFork Kitchen
    Term                      Signed language
   
    Covered items             GGS-5MTC Hummus Veggie Wrap; GGS-3RZA Caprese Ciabatta
   
    Launch support            $0.40 per scanned unit on GGS-3RZA receipts dated July 13-August 9, capped at 5,500 scanned units.
   
    Shrink credit             30% credit on documented waste units for covered GreenFork items only in stores receiving GreenFork delivery at
                              least four days per week.
   
    Route limits              Highway / Travel and Rural North are not approved for Caprese route expansion under this letter. Future expansion
                              requires a new signed routing addendum.
   
    Service note              GreenFork products carry a two-day code at store receipt.
   
   
   
   
   Urban Spoon
   Signed June 6, 2026 

   … 5,210 more characters of output in the raw trajectory.

9. 13Bash43k1

   Tool execution only — no assistant text

   Bashwhich pandoc || find / -iname "pandoc*" -type f 2>/dev/null | head -5; echo "---"; ls /logs/agent/sessions/skills/docx/scripts/office/ 2>/dev/null (+description)

   Arguments

   Locate pandoc binary or docx skill scripts

   which pandoc || find / -iname "pandoc*" -type f 2>/dev/null | head -5; echo "---"; ls /logs/agent/sessions/skills/docx/scripts/office/ 2>/dev/null

   Output

   ---
   helpers
   pack.py
   schemas
   soffice.py
   unpack.py
   validate.py
   validators
   
   [stdout]
   ---
   helpers
   pack.py
   schemas
   soffice.py
   unpack.py
   validate.py
   validators
   [metadata]
   noOutputExpected: false

10. 14Bash43k1

    Tool execution only — no assistant text

    Bashpython3 /logs/agent/sessions/skills/docx/scripts/office/unpack.py merchant_handoff_prepared_foods.docx /tmp/unpacked_handoff/ && echo OK (+description)

    Arguments

    Unpack merchant handoff docx to read raw XML

    python3 /logs/agent/sessions/skills/docx/scripts/office/unpack.py merchant_handoff_prepared_foods.docx /tmp/unpacked_handoff/ && echo OK

    Output

    Unpacked merchant_handoff_prepared_foods.docx (16 XML files), simplified 0 tracked changes, merged 0 runs
    OK
    
    [stdout]
    Unpacked merchant_handoff_prepared_foods.docx (16 XML files), simplified 0 tracked changes, merged 0 runs
    OK
    [metadata]
    noOutputExpected: false

11. 15Bash44k1

    Tool execution only — no assistant text

    Bashpython3 -c " import re with open('/tmp/unpacked_handoff/word/document.xml') as f: content = f.read() # Extract text between <w:t> tags texts = re.findall(r'<w:t[^>]*>(.*?)</w:t>', content, re.DOTALL) print(''.join(texts)) " > /tmp/handoff_raw.txt wc -l /tmp/handoff_raw.txt (+description)

    Arguments

    Extract raw text content via regex as fallback

    python3 -c "
    import re
    with open('/tmp/unpacked_handoff/word/document.xml') as f:
        content = f.read()
    # Extract text between <w:t> tags
    texts = re.findall(r'<w:t[^>]*>(.*?)</w:t>', content, re.DOTALL)
    print(''.join(texts))
    " > /tmp/handoff_raw.txt
    wc -l /tmp/handoff_raw.txt

    Output

    173 /tmp/handoff_raw.txt
    
    [stdout]
    173 /tmp/handoff_raw.txt
    [metadata]
    noOutputExpected: false

12. 17Bash44k1

    Tool execution only — no assistant text

    Bashpython3 -c " import re with open('/tmp/unpacked_handoff/word/document.xml') as f: content = f.read() # Split by paragraphs paras = re.findall(r'<w:p[ >].*?</w:p>', content, re.DOTALL) print(f'Found {len(paras)} paragraphs') for p in paras: texts = re.findall(r'<w:t[^>]*>(.*?)</w:t>', p, re.DOTALL) line = ''.join(texts) # check if it's a table cell or heading based on style style = re.search(r'<w:pStyle w:val=\"([^\"]*)\"', p) style_name = style.group(1) if style else '' print(f'[{style_name}] {line}') " > /tmp/handoff_paras.txt c7k chars

    Arguments

    python3 -c "
    import re
    with open('/tmp/unpacked_handoff/word/document.xml') as f:
        content = f.read()
    
    # Split by paragraphs
    paras = re.findall(r'<w:p[ >].*?</w:p>', content, re.DOTALL)
    print(f'Found {len(paras)} paragraphs')
    for p in paras:
        texts = re.findall(r'<w:t[^>]*>(.*?)</w:t>', p, re.DOTALL)
        line = ''.join(texts)
        # check if it's a table cell or heading based on style
        style = re.search(r'<w:pStyle w:val=\"([^\"]*)\"', p)
        style_name = style.group(1) if style else ''
        print(f'[{style_name}] {line}')
    " > /tmp/handoff_paras.txt
    c

    … 100 more characters of arguments in the raw trajectory.

    Output

    Found 33 paragraphs
    [] 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.
    [Heading1] Decision rules for this reset
    [ListBullet] 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.
    [ListBullet] Treat internal sales, waste, and inventory records as the demand signal. Supplier projections

    … 6,070 more characters of output in the raw trajectory.

13. 19Now let me examine the CSV data files.46k

    Now let me examine the CSV data files.

14. 20Bash1

    Tool execution only — no assistant text

    Bashecho "=== buyer_reset_proposal.csv ===" && cat buyer_reset_proposal.csv (+description)11k chars

    Arguments

    Read buyer reset proposal CSV

    echo "=== buyer_reset_proposal.csv ===" && cat buyer_reset_proposal.csv

    Output

    === 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 allows.,
    2026-06-12,MET,Metro Core,GGS-3RZA,Caprese Ciabatta,Add,1,Use as the vegetarian trade-up and remove Hummus where possible.,3.4
    2026-06-12,MET,Metro Core,GGS-6BGH,Protein Snack Box,Add,2,Mercha

    … 10,368 more characters of output in the raw trajectory.

15. 21Bash1

    Tool execution only — no assistant text

    Bashecho "=== item_master_unit_economics.csv ===" && cat item_master_unit_economics.csv (+description)3k chars

    Arguments

    Read item master unit economics CSV

    echo "=== item_master_unit_economics.csv ===" && cat item_master_unit_economics.csv

    Output

    === item_master_unit_economics.csv ===
    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,3,10,1.0,6.49,2.64,1,2023-08-07,Yes
    GGS-9PQL,Southwest Chicken Bowl,Current,Urban Spoon,Bowl meal,Meat,3,8,1.5,7.99,3.45,1,2024-09-09,Yes
    GGS-5MTC,Hummus Veggie Wrap,Current,GreenFork Kitchen,Vegetarian lunch,Vegetarian,2,8,1.0,6.29,2.75,1,2023-05-01,No
    GGS-7DNL,Cobb Salad,Current,FreshPack Deli,Salad meal,Meat,3,6,1.5,8.49,3.72,1,2024-01-22,No
    GGS-1KFV,Egg Salad Croissant,Current,FreshPack Deli,Legacy sandwich,Egg vegetarian,2,8,1.0,5.49,2.28,1,2022-06-13,No
    GGS-4HBP,Turkey Cranberry Sandwich,Current seasonal,EatWell Foods,Winter seasonal,Meat,3,10,1.0,6.59,2.95,1,2025-10-27,No
    GGS-3RZA,Caprese Ciabatta,Cand

    … 1,706 more characters of output in the raw trajectory.

16. 22Bash1

    Tool execution only — no assistant text

    Bashecho "=== store_cluster_capacity.csv ===" && cat store_cluster_capacity.csv (+description)2k chars

    Arguments

    Read store cluster capacity CSV

    echo "=== store_cluster_capacity.csv ===" && cat store_cluster_capacity.csv

    Output

    === store_cluster_capacity.csv ===
    cluster_code,cluster_name,store_count,deliveries_per_week,tray_slots_available,extra_tray_project,notes
    MET,Metro Core,18,5,12.0,Pending September lease-line change; not approved for July reset,Dense lunch traffic; daily prepared-food replenishment except Sunday.
    COM,Commuter Suburban,26,4,10.0,No incremental tray capacity this reset,Office parks and commuter corridors; strongest weekday lunch.
    CAM,Campus / Hospital,11,5,10.0,No incremental tray capacity this reset,Late lunch and evening snack missions; meatless options over-index.
    HWY,Highway / Travel,15,3,8.0,No incremental tray capacity this reset,Fewer delivery touches; travel purchase pattern favors familiar sandwiches.
    RUR,Rural North,14,2,7.0,No incremental tray capacity this reset,Long delivery gap and highest transfer cost; do not chase low-repeat novelty.
    
    [stdout]
    === store_cluster_capacity.csv ===
    cluster_code,cluster_name,store_count,deliveries_per_week,tray_slots_available,extra_tra

    … 782 more characters of output in the raw trajectory.

17. 24Bash51k1

    Tool execution only — no assistant text

    Bashhead -5 weekly_pos_inventory_waste.csv && echo "..." && wc -l weekly_pos_inventory_waste.csv (+description)1k chars

    Arguments

    Preview weekly POS inventory waste CSV structure

    head -5 weekly_pos_inventory_waste.csv && echo "..." && wc -l weekly_pos_inventory_waste.csv

    Output

    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,18,97,5,6.7,105,33
    2026-04-27,MET,Metro Core,GGS-84QJ,Chicken Caesar Wrap,Current set,18,108,5,3.0,113,33
    ...
    369 weekly_pos_inventory_waste.csv
    
    [stdout]
    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,18,97,5,6.7,105,33
    2026-04-27,MET,Metro Core,GGS-84QJ,Chic

    … 126 more characters of output in the raw trajectory.

18. 26Bash51k1

    Tool execution only — no assistant text

    Bashpython3 -c " import pandas as pd df = pd.read_csv('weekly_pos_inventory_waste.csv') print('Shape:', df.shape) print() print('Date range:', df.week_start.min(), 'to', df.week_start.max()) print() print('Unique weeks:', sorted(df.week_start.unique())) print() print('Range types:', df.range_type.unique()) print() print('SKUs:', df.sku.unique()) print() print('Clusters:', df.cluster_code.unique()) print() print(df.groupby(['sku','item'])['range_type'].unique()) "2k chars

    Arguments

    python3 -c "
    import pandas as pd
    df = pd.read_csv('weekly_pos_inventory_waste.csv')
    print('Shape:', df.shape)
    print()
    print('Date range:', df.week_start.min(), 'to', df.week_start.max())
    print()
    print('Unique weeks:', sorted(df.week_start.unique()))
    print()
    print('Range types:', df.range_type.unique())
    print()
    print('SKUs:', df.sku.unique())
    print()
    print('Clusters:', df.cluster_code.unique())
    print()
    print(df.groupby(['sku','item'])['range_type'].unique())
    "
    

    Output

    Shape: (368, 12)
    
    Date range: 2026-04-06 to 2026-05-25
    
    Unique weeks: ['2026-04-06', '2026-04-13', '2026-04-20', '2026-04-27', '2026-05-04', '2026-05-11', '2026-05-18', '2026-05-25']
    
    Range types: ['Current set' 'Controlled pilot']
    
    SKUs: ['GGS-84QJ' 'GGS-2VWK' 'GGS-9PQL' 'GGS-5MTC' 'GGS-7DNL' 'GGS-1KFV'
     'GGS-4HBP' 'GGS-3RZA' 'GGS-6BGH' 'GGS-8XUY']
    
    Clusters: ['MET' 'COM' 'CAM' 'HWY' 'RUR']
    
    sku       item                     
    GGS-1KFV  Egg Salad Croissant               [Current set]
    GGS-2VWK  Turkey Club Sandwich              [Current set]
    GGS-3RZA  Caprese Ciabatta             [Controlled pilot]
    GGS-4HBP  Turkey Cranberry Sandwich         [Current set]
    GGS-5MTC  Hummus Veggie Wrap                [Current set]
    GGS-6BGH  Protein Snack Box            [Controlled pilot]
    GGS-7DNL  Cobb Salad                        [Current set]
    GGS-84QJ  Chicken Caesar Wrap               [Current set]
    GGS-8XUY  Spicy Tuna Sushi Roll        [Controlled pilot]
    GGS-9PQL  Southwest Chicken Bowl            [C

    … 1,136 more characters of output in the raw trajectory.

19. 28Bash52k1

    Tool execution only — no assistant text

    Bashpython3 -c " import pandas as pd df = pd.read_csv('weekly_pos_inventory_waste.csv') pilot = df[df.range_type=='Controlled pilot'] print(pilot.groupby(['sku','item'])['cluster_code'].unique()) print() print(pilot.groupby(['sku','item','cluster_code'])['week_start'].agg(['min','max','count'])) "2k chars

    Arguments

    python3 -c "
    import pandas as pd
    df = pd.read_csv('weekly_pos_inventory_waste.csv')
    pilot = df[df.range_type=='Controlled pilot']
    print(pilot.groupby(['sku','item'])['cluster_code'].unique())
    print()
    print(pilot.groupby(['sku','item','cluster_code'])['week_start'].agg(['min','max','count']))
    "
    

    Output

    sku       item                 
    GGS-3RZA  Caprese Ciabatta                   [MET, COM, CAM]
    GGS-6BGH  Protein Snack Box        [MET, COM, CAM, HWY, RUR]
    GGS-8XUY  Spicy Tuna Sushi Roll              [MET, COM, CAM]
    Name: cluster_code, dtype: object
    
                                                        min         max  count
    sku      item                  cluster_code                               
    GGS-3RZA Caprese Ciabatta      CAM           2026-04-06  2026-05-25      8
                                   COM           2026-04-06  2026-05-25      8
                                   MET           2026-04-06  2026-05-25      8
    GGS-6BGH Protein Snack Box     CAM           2026-04-06  2026-05-25      8
                                   COM           2026-04-06  2026-05-25      8
                                   HWY           2026-04-06  2026-05-25      8
                                   MET           2026-04-06  2026-05-25      8
                                   RUR           2026-04-06  2026-05-25      8
    

    … 1,498 more characters of output in the raw trajectory.

20. 30Bash57k1

    Tool execution only — no assistant text

    Bashpython3 << 'EOF' import pandas as pd pd.set_option('display.width', 200) pd.set_option('display.max_columns', 20) pd.set_option('display.max_rows', 100) waste = pd.read_csv('weekly_pos_inventory_waste.csv') items = pd.read_csv('item_master_unit_economics.csv') proposal = pd.read_csv('buyer_reset_proposal.csv') capacity = pd.read_csv('store_cluster_capacity.csv') # Aggregate weekly data to per SKU-cluster averages agg = waste.groupby(['sku','item','cluster_code','cluster_name','range_type']).agg( weeks=('week_start','nunique'), avg_stores_ranged=('stores_rang16k chars

    Arguments

    python3 << 'EOF'
    import pandas as pd
    pd.set_option('display.width', 200)
    pd.set_option('display.max_columns', 20)
    pd.set_option('display.max_rows', 100)
    
    waste = pd.read_csv('weekly_pos_inventory_waste.csv')
    items = pd.read_csv('item_master_unit_economics.csv')
    proposal = pd.read_csv('buyer_reset_proposal.csv')
    capacity = pd.read_csv('store_cluster_capacity.csv')
    
    # Aggregate weekly data to per SKU-cluster averages
    agg = waste.groupby(['sku','item','cluster_code','cluster_name','range_type']).agg(
        weeks=('week_start','nunique'),
        avg_stores_ranged=('stores_rang

    … 990 more characters of arguments in the raw trajectory.

    Output

    sku                      item cluster_code       range_type  avg_stores_ranged  avg_weekly_sales_per_store  avg_weekly_waste_per_store  waste_rate_pct  oos_rate_pct
    GGS-1KFV       Egg Salad Croissant          CAM      Current set              11.00                        1.57                        0.36           18.82          8.21
    GGS-1KFV       Egg Salad Croissant          COM      Current set              26.00                        1.18                        0.30           20.13         18.21
    GGS-1KFV       Egg Salad Croissant          HWY      Current set              15.00                        0.79                        0.22           21.49         10.00
    GGS-1KFV       Egg Salad Croissant          MET      Current set              18.00                        1.29                        0.34           20.85         15.00
    GGS-1KFV       Egg Salad Croissant          RUR      Current set              14.00                        0.72                        0.23           24.30

    … 15,023 more characters of output in the raw trajectory.

21. 32Bash61k1

    Tool execution only — no assistant text

    Bashpython3 << 'EOF' import pandas as pd pd.set_option('display.width', 220) pd.set_option('display.max_columns', 20) pd.set_option('display.max_rows', 100) waste = pd.read_csv('weekly_pos_inventory_waste.csv') agg = waste.groupby(['sku','item','cluster_code','cluster_name','range_type']).agg( weeks=('week_start','nunique'), avg_stores_ranged=('stores_ranged','mean'), total_net_sales=('net_sales_units','sum'), total_waste=('waste_units','sum'), total_receipts=('receipts_units','sum'), total_oos_store_days=('oos_store_days','sum'), avg_ending16k chars

    Arguments

    python3 << 'EOF'
    import pandas as pd
    pd.set_option('display.width', 220)
    pd.set_option('display.max_columns', 20)
    pd.set_option('display.max_rows', 100)
    
    waste = pd.read_csv('weekly_pos_inventory_waste.csv')
    
    agg = waste.groupby(['sku','item','cluster_code','cluster_name','range_type']).agg(
        weeks=('week_start','nunique'),
        avg_stores_ranged=('stores_ranged','mean'),
        total_net_sales=('net_sales_units','sum'),
        total_waste=('waste_units','sum'),
        total_receipts=('receipts_units','sum'),
        total_oos_store_days=('oos_store_days','sum'),
        avg_ending

    … 835 more characters of arguments in the raw trajectory.

    Output

    sku                      item cluster_code       range_type  avg_stores_ranged  avg_weekly_sales_per_store  avg_weekly_waste_per_store  waste_rate_pct  oos_rate_pct
    GGS-1KFV       Egg Salad Croissant          CAM      Current set              11.00                        1.57                        0.36           18.82          0.75
    GGS-1KFV       Egg Salad Croissant          COM      Current set              26.00                        1.18                        0.30           20.13          0.70
    GGS-1KFV       Egg Salad Croissant          HWY      Current set              15.00                        0.79                        0.22           21.49          0.67
    GGS-1KFV       Egg Salad Croissant          MET      Current set              18.00                        1.29                        0.34           20.85          0.83
    GGS-1KFV       Egg Salad Croissant          RUR      Current set              14.00                        0.72                        0.23           24.30

    … 15,023 more characters of output in the raw trajectory.

22. 34Bash64k1

    Tool execution only — no assistant text

    Bashpython3 << 'EOF' import pandas as pd pd.set_option('display.width', 220) pd.set_option('display.max_columns', 25) pd.set_option('display.max_rows', 100) pd.set_option('display.float_format', lambda x: f'{x:0.3f}') agg = pd.read_csv('/tmp/agg_metrics.csv') items = pd.read_csv('item_master_unit_economics.csv') m = agg.merge(items[['sku','vendor','shelf_life_days','case_pack','tray_slots_per_facing','retail_price','unit_cost']], on='sku', how='left') m['gp_per_unit'] = m['retail_price'] - m['unit_cost'] m['weekly_gp_per_store'] = m['avg_weekly_sales_per_store'] * m['gp_p20k chars

    Arguments

    python3 << 'EOF'
    import pandas as pd
    pd.set_option('display.width', 220)
    pd.set_option('display.max_columns', 25)
    pd.set_option('display.max_rows', 100)
    pd.set_option('display.float_format', lambda x: f'{x:0.3f}')
    
    agg = pd.read_csv('/tmp/agg_metrics.csv')
    items = pd.read_csv('item_master_unit_economics.csv')
    
    m = agg.merge(items[['sku','vendor','shelf_life_days','case_pack','tray_slots_per_facing','retail_price','unit_cost']], on='sku', how='left')
    m['gp_per_unit'] = m['retail_price'] - m['unit_cost']
    m['weekly_gp_per_store'] = m['avg_weekly_sales_per_store'] * m['gp_p

    … 524 more characters of arguments in the raw trajectory.

    Output

    sku                      item cluster_code  avg_weekly_sales_per_store  avg_weekly_waste_per_store  waste_rate_pct  gp_per_unit  weekly_gp_per_store  weekly_waste_cost_per_store  weekly_net_gp_per_store
    GGS-3RZA          Caprese Ciabatta          CAM                       3.300                       0.225           6.383        3.890               12.837                        0.698                   12.139
    GGS-3RZA          Caprese Ciabatta          COM                       1.828                       0.359          16.429        3.890                7.111                        1.114                    5.997
    GGS-3RZA          Caprese Ciabatta          MET                       3.167                       0.292           8.434        3.890               12.318                        0.904                   11.414
    GGS-84QJ       Chicken Caesar Wrap          CAM                       6.795                       0.261           3.704        3.610               24.532                    

    … 18,595 more characters of output in the raw trajectory.

23. 36Bash76k1

    Tool execution only — no assistant text

    Bashpython3 << 'EOF' import pandas as pd pd.set_option('display.width', 220) pd.set_option('display.max_columns', 25) pd.set_option('display.max_rows', 100) pd.set_option('display.float_format', lambda x: f'{x:0.2f}') proposal = pd.read_csv('buyer_reset_proposal.csv') items = pd.read_csv('item_master_unit_economics.csv') capacity = pd.read_csv('store_cluster_capacity.csv') p = proposal.merge(items[['sku','tray_slots_per_facing']], on='sku', how='left') p['tray_slots_used'] = p['proposed_facings'] * p['tray_slots_per_facing'] cluster_usage = p.groupby('cluster_code')['t9k chars

    Arguments

    python3 << 'EOF'
    import pandas as pd
    pd.set_option('display.width', 220)
    pd.set_option('display.max_columns', 25)
    pd.set_option('display.max_rows', 100)
    pd.set_option('display.float_format', lambda x: f'{x:0.2f}')
    
    proposal = pd.read_csv('buyer_reset_proposal.csv')
    items = pd.read_csv('item_master_unit_economics.csv')
    capacity = pd.read_csv('store_cluster_capacity.csv')
    
    p = proposal.merge(items[['sku','tray_slots_per_facing']], on='sku', how='left')
    p['tray_slots_used'] = p['proposed_facings'] * p['tray_slots_per_facing']
    
    cluster_usage = p.groupby('cluster_code')['t

    … 647 more characters of arguments in the raw trajectory.

    Output

    === BUYER PROPOSAL CAPACITY CHECK ===
    cluster_code  tray_slots_used      cluster_name  tray_slots_available  deliveries_per_week  over_under
             CAM            10.50 Campus / Hospital                 10.00                    5       -0.50
             COM            10.50 Commuter Suburban                 10.00                    4       -0.50
             HWY             8.50  Highway / Travel                  8.00                    3       -0.50
             MET            12.00        Metro Core                 12.00                    5        0.00
             RUR             7.50       Rural North                  7.00                    2       -0.50
    
    === DETAIL: proposed facings by cluster ===
    cluster_code                      item proposed_action  proposed_facings  tray_slots_per_facing  tray_slots_used
             MET       Chicken Caesar Wrap            Keep                 2                   1.00             2.00
             MET      Turkey Club Sandwich            Keep                 1 

    … 7,908 more characters of output in the raw trajectory.

24. 38Bash91k1

    Tool execution only — no assistant text

    Bashpython3 << 'EOF' import pandas as pd pd.set_option('display.width', 240) pd.set_option('display.max_columns', 30) pd.set_option('display.max_rows', 100) pd.set_option('display.float_format', lambda x: f'{x:0.3f}') m = pd.read_csv('/tmp/full_metrics.csv') capacity = pd.read_csv('store_cluster_capacity.csv') m = m.merge(capacity[['cluster_code','deliveries_per_week']], on='cluster_code', how='left') def credit_rate(row): if row['vendor'] == 'GreenFork Kitchen': return 0.30 if row['deliveries_per_week'] >= 4 else 0.0 if row['vendor'] == 'Sakura Express'22k chars

    Arguments

    python3 << 'EOF'
    import pandas as pd
    pd.set_option('display.width', 240)
    pd.set_option('display.max_columns', 30)
    pd.set_option('display.max_rows', 100)
    pd.set_option('display.float_format', lambda x: f'{x:0.3f}')
    
    m = pd.read_csv('/tmp/full_metrics.csv')
    capacity = pd.read_csv('store_cluster_capacity.csv')
    m = m.merge(capacity[['cluster_code','deliveries_per_week']], on='cluster_code', how='left')
    
    def credit_rate(row):
        if row['vendor'] == 'GreenFork Kitchen':
            return 0.30 if row['deliveries_per_week'] >= 4 else 0.0
        if row['vendor'] == 'Sakura Express'

    … 838 more characters of arguments in the raw trajectory.

    Output

    sku                      item cluster_code            vendor  shelf_life_days  avg_weekly_sales_per_store  waste_rate_pct  shrink_credit_rate  weekly_gp_per_store  waste_cost_after_credit_per_store  net_gp_after_credit_per_store
    GGS-3RZA          Caprese Ciabatta          CAM GreenFork Kitchen                2                       3.300           6.383               0.300               12.837                              0.488                         12.349
    GGS-3RZA          Caprese Ciabatta          COM GreenFork Kitchen                2                       1.828          16.429               0.300                7.111                              0.780                          6.332
    GGS-3RZA          Caprese Ciabatta          MET GreenFork Kitchen                2                       3.167           8.434               0.300               12.318                              0.633                         11.685
    GGS-84QJ       Chicken Caesar Wrap          CAM     EatWell Foods    

    … 21,039 more characters of output in the raw trajectory.

25. 40Bash98k1

    Tool execution only — no assistant text

    Bashpython3 << 'EOF' import pandas as pd pd.set_option('display.width', 200) pd.set_option('display.float_format', lambda x: f'{x:0.2f}') proposal = pd.read_csv('buyer_reset_proposal.csv') agg = pd.read_csv('/tmp/agg_metrics.csv') # Compare supplier projections (Add rows only) vs internal pilot actuals sp = proposal[(proposal.proposed_action=='Add') & (proposal.supplier_projection_units_per_store_week.notna()) & (proposal.supplier_projection_units_per_store_week>0)] sp = sp[['cluster_code','sku','item','supplier_projection_units_per_store_week']] pilot = agg[agg.range_type3k chars

    Arguments

    python3 << 'EOF'
    import pandas as pd
    pd.set_option('display.width', 200)
    pd.set_option('display.float_format', lambda x: f'{x:0.2f}')
    
    proposal = pd.read_csv('buyer_reset_proposal.csv')
    agg = pd.read_csv('/tmp/agg_metrics.csv')
    
    # Compare supplier projections (Add rows only) vs internal pilot actuals
    sp = proposal[(proposal.proposed_action=='Add') & (proposal.supplier_projection_units_per_store_week.notna()) & (proposal.supplier_projection_units_per_store_week>0)]
    sp = sp[['cluster_code','sku','item','supplier_projection_units_per_store_week']]
    pilot = agg[agg.range_type

    … 303 more characters of arguments in the raw trajectory.

    Output

    cluster_code      sku                  item  supplier_projection_units_per_store_week  avg_weekly_sales_per_store  pct_inflation
             MET GGS-3RZA      Caprese Ciabatta                                      3.40                        3.17           7.37
             MET GGS-6BGH     Protein Snack Box                                      4.80                        4.14          15.97
             MET GGS-8XUY Spicy Tuna Sushi Roll                                      5.10                        3.15          61.76
             COM GGS-3RZA      Caprese Ciabatta                                      3.20                        1.83          75.04
             COM GGS-6BGH     Protein Snack Box                                      4.50                        3.88          16.13
             COM GGS-8XUY Spicy Tuna Sushi Roll                                      4.40                        1.12         291.11
             CAM GGS-3RZA      Caprese Ciabatta                                      3.60            

    … 2,402 more characters of output in the raw trajectory.

26. 42Bash103k1

    Tool execution only — no assistant text

    Bashmkdir -p /tmp/analysis && cat > /tmp/analysis/build_plan.py << 'PYEOF' import pandas as pd pd.set_option('display.width', 240) pd.set_option('display.max_columns', 30) pd.set_option('display.max_rows', 200) pd.set_option('display.float_format', lambda x: f'{x:0.3f}') items = pd.read_csv('/workspace/data/item_master_unit_economics.csv') capacity = pd.read_csv('/workspace/data/store_cluster_capacity.csv') metrics = pd.read_csv('/tmp/full_metrics_credit.csv') # sku,item,cluster_code,... net_gp_after_credit_per_store, weekly_waste_cost_per_store etc. # Final revised facin13k chars

    Arguments

    mkdir -p /tmp/analysis && cat > /tmp/analysis/build_plan.py << 'PYEOF'
    import pandas as pd
    pd.set_option('display.width', 240)
    pd.set_option('display.max_columns', 30)
    pd.set_option('display.max_rows', 200)
    pd.set_option('display.float_format', lambda x: f'{x:0.3f}')
    
    items = pd.read_csv('/workspace/data/item_master_unit_economics.csv')
    capacity = pd.read_csv('/workspace/data/store_cluster_capacity.csv')
    metrics = pd.read_csv('/tmp/full_metrics_credit.csv')  # sku,item,cluster_code,... net_gp_after_credit_per_store, weekly_waste_cost_per_store etc.
    
    # Final revised facin

    … 3,106 more characters of arguments in the raw trajectory.

    Output

    === REVISED PLAN CAPACITY CHECK ===
    cluster_code  tray_slots_used      cluster_name  tray_slots_available  slack  sku_count
             CAM           10.000 Campus / Hospital                10.000  0.000          7
             COM            9.000 Commuter Suburban                10.000  1.000          6
             HWY            6.500  Highway / Travel                 8.000  1.500          5
             MET           11.500        Metro Core                12.000  0.500          8
             RUR            6.500       Rural North                 7.000  0.500          5
    
    === REVISED PLAN — FULL ECONOMICS BY CLUSTER/SKU ===
    cluster_code                   item  revised_facings  tray_slots_used  avg_weekly_sales_per_store  waste_rate_pct  chain_weekly_gp_gross  chain_weekly_waste_cost  chain_weekly_net_gp
             CAM       Caprese Ciabatta                1            1.000                       3.300           6.383                141.207                    5.371              135.836
             CAM    

    … 12,340 more characters of output in the raw trajectory.

27. 44Bash106k1

    Tool execution only — no assistant text

    Bashcat > /tmp/analysis/build_proposal_econ.py << 'PYEOF' import pandas as pd pd.set_option('display.width', 240) pd.set_option('display.max_columns', 30) pd.set_option('display.max_rows', 200) pd.set_option('display.float_format', lambda x: f'{x:0.2f}') proposal = pd.read_csv('/workspace/data/buyer_reset_proposal.csv') items = pd.read_csv('/workspace/data/item_master_unit_economics.csv') capacity = pd.read_csv('/workspace/data/store_cluster_capacity.csv') metrics = pd.read_csv('/tmp/full_metrics_credit.csv') p = proposal[proposal.proposed_action.isin(['Keep','Add'])].cop1k chars

    Arguments

    cat > /tmp/analysis/build_proposal_econ.py << 'PYEOF'
    import pandas as pd
    pd.set_option('display.width', 240)
    pd.set_option('display.max_columns', 30)
    pd.set_option('display.max_rows', 200)
    pd.set_option('display.float_format', lambda x: f'{x:0.2f}')
    
    proposal = pd.read_csv('/workspace/data/buyer_reset_proposal.csv')
    items = pd.read_csv('/workspace/data/item_master_unit_economics.csv')
    capacity = pd.read_csv('/workspace/data/store_cluster_capacity.csv')
    metrics = pd.read_csv('/tmp/full_metrics_credit.csv')
    
    p = proposal[proposal.proposed_action.isin(['Keep','Add'])].cop

    … 1,621 more characters of arguments in the raw trajectory.

    Output

    === ITEMS IN BUYER PROPOSAL WITH NO INTERNAL DATA AVAILABLE ===
    cluster_code             item proposed_action  proposed_facings
             HWY Caprese Ciabatta             Add                 1
    
    === BUYER PROPOSAL TOTALS (where computable; capacity infeasible in 4 of 5 clusters) ===
    Total chain weekly net GP (computable rows only): $6767.69
    Total chain weekly waste cost (computable rows only): $431.24
    Total chain weekly gross GP (computable rows only): $7198.93
    
    Row count with missing data: 1 of 32
    
    [stdout]
    === ITEMS IN BUYER PROPOSAL WITH NO INTERNAL DATA AVAILABLE ===
    cluster_code             item proposed_action  proposed_facings
             HWY Caprese Ciabatta             Add                 1
    
    === BUYER PROPOSAL TOTALS (where computable; capacity infeasible in 4 of 5 clusters) ===
    Total chain weekly net GP (computable rows only): $6767.69
    Total chain weekly waste cost (computable rows only): $431.24
    Total chain weekly gross GP (computable rows only): $7198.93
    
    Row count with missing 

    … 52 more characters of output in the raw trajectory.

28. 46Bash109k1

    Tool execution only — no assistant text

    Bashcat > /tmp/analysis/bridge.py << 'PYEOF' import pandas as pd pd.set_option('display.width', 240) pd.set_option('display.max_columns', 30) pd.set_option('display.max_rows', 200) pd.set_option('display.float_format', lambda x: f'{x:0.2f}') proposal = pd.read_csv('/workspace/data/buyer_reset_proposal.csv') revised = pd.read_csv('/tmp/analysis/revised_facings.csv') items = pd.read_csv('/workspace/data/item_master_unit_economics.csv') capacity = pd.read_csv('/workspace/data/store_cluster_capacity.csv') metrics = pd.read_csv('/tmp/full_metrics_credit.csv') # Build full com10k chars

    Arguments

    cat > /tmp/analysis/bridge.py << 'PYEOF'
    import pandas as pd
    pd.set_option('display.width', 240)
    pd.set_option('display.max_columns', 30)
    pd.set_option('display.max_rows', 200)
    pd.set_option('display.float_format', lambda x: f'{x:0.2f}')
    
    proposal = pd.read_csv('/workspace/data/buyer_reset_proposal.csv')
    revised = pd.read_csv('/tmp/analysis/revised_facings.csv')
    items = pd.read_csv('/workspace/data/item_master_unit_economics.csv')
    capacity = pd.read_csv('/workspace/data/store_cluster_capacity.csv')
    metrics = pd.read_csv('/tmp/full_metrics_credit.csv')
    
    # Build full com

    … 2,544 more characters of arguments in the raw trajectory.

    Output

    cluster_code                      item proposal_action  proposal_facings  revised_facings  facing_change  delta_net_gp  delta_waste
             CAM          Caprese Ciabatta             Add              1.00             1.00           0.00          0.00         0.00
             CAM       Chicken Caesar Wrap            Keep              2.00             2.00           0.00          0.00         0.00
             CAM                Cobb Salad            Keep              1.00             1.00           0.00          0.00         0.00
             CAM        Hummus Veggie Wrap    Not proposed              0.00             1.00           1.00        115.75         5.05
             CAM         Protein Snack Box             Add              2.00             2.00           0.00          0.00         0.00
             CAM    Southwest Chicken Bowl            Keep              1.00             1.00           0.00          0.00         0.00
             CAM     Spicy Tuna Sushi Roll             Add              1.00    

    … 9,396 more characters of output in the raw trajectory.

29. 48Bash119k1

    Tool execution only — no assistant text

    Bashcat > /tmp/analysis/scan_caps.py << 'PYEOF' import pandas as pd pd.set_option('display.float_format', lambda x: f'{x:0.1f}') waste = pd.read_csv('/workspace/data/weekly_pos_inventory_waste.csv') capacity = pd.read_csv('/workspace/data/store_cluster_capacity.csv') # Use pilot receipts_units to estimate a per-store-week receipts rate, then scale to full recommended store base over 4 weeks pilot = waste[waste.range_type=='Controlled pilot'] rate = pilot.groupby(['sku','cluster_code']).agg( weeks=('week_start','nunique'), stores=('stores_ranged','mean'), total_receipts=3k chars

    Arguments

    cat > /tmp/analysis/scan_caps.py << 'PYEOF'
    import pandas as pd
    pd.set_option('display.float_format', lambda x: f'{x:0.1f}')
    
    waste = pd.read_csv('/workspace/data/weekly_pos_inventory_waste.csv')
    capacity = pd.read_csv('/workspace/data/store_cluster_capacity.csv')
    
    # Use pilot receipts_units to estimate a per-store-week receipts rate, then scale to full recommended store base over 4 weeks
    pilot = waste[waste.range_type=='Controlled pilot']
    rate = pilot.groupby(['sku','cluster_code']).agg(
        weeks=('week_start','nunique'), stores=('stores_ranged','mean'), total_receipts=

    … 1,611 more characters of arguments in the raw trajectory.

    Output

    === Projected 4-week receipts at full recommended rollout (using pilot receipt rate) ===
         sku cluster_code  receipts_per_store_week  store_count  proj_4wk_receipts_full_rollout
    GGS-3RZA          CAM                      3.8           11                           168.3
    GGS-3RZA          COM                      2.2           26                           230.8
    GGS-3RZA          MET                      3.6           18                           256.0
    GGS-6BGH          CAM                      6.2           11                           272.8
    GGS-6BGH          COM                      4.0           26                           417.6
    GGS-6BGH          HWY                      3.2           15                           193.5
    GGS-6BGH          MET                      4.5           18                           321.0
    GGS-6BGH          RUR                      2.1           14                           117.2
    GGS-8XUY          CAM                      3.1           11                        

    … 2,196 more characters of output in the raw trajectory.

30. 50I now have a complete picture. Let me pull up the xlsx and docx skills to build the two deliverables.128k

    I now have a complete picture. Let me pull up the xlsx and docx skills to build the two deliverables.

31. 51user{"type": "text", "text": "Base directory for this skill: /logs/agent/sessions/skills/xlsx\n\n# Requirements for Outputs\…

    {"type": "text", "text": "Base directory for this skill: /logs/agent/sessions/skills/xlsx\n\n# Requirements for Outputs\n\n## All Excel files\n\n### Professional Font\n- Use a consistent, professional font (e.g., Arial, Times New Roman) for all deliverables unless otherwise instructed by the user\n\n### Zero Formula Errors\n- Every Excel model MUST be delivered with ZERO formula errors (#REF!, #DIV/0!, #VALUE!, #N/A, #NAME?)\n\n### Preserve Existing Templates (when updating templates)\n- Study and EXACTLY match existing format, style, and conventions when modifying files\n- Never impose standardized formatting on files with established patterns\n- Existing template conventions ALWAYS override these guidelines\n\n## Financial models\n\n### Color Coding Standards\nUnless otherwise stated by the user or existing template\n\n#### Industry-Standard Color Conventions\n- Blue text (RGB: 0,0,255): Hardcoded inputs, and numbers users will change for scenarios\n- Black text (RGB: 0,0,0): ALL formulas and calculations\n- Green text (RGB: 0,128,0): Links pulling from other worksheets within same workbook\n- Red text (RGB: 255,0,0): External links to other files\n- Yellow background (RGB: 255,255,0): Key assumptions needing attention or cells that need to be updated\n\n### Number Formatting Standards\n\n#### Required Format Rules\n- Years: Format as text strings (e.g., "2024" not "2,024")\n- Currency: Use $#,##0 format; ALWAYS specify units in headers ("Revenue ($mm)")\n- Zeros: Use number formatting to make all zeros "-", including percentages (e.g., "$#,##0;($#,##0);-")\n- Percentages: Default to 0.0% format (one decimal)\n- Multiples: Format as 0.0x for valuation multiples (EV/EBITDA, P/E)\n- Negative numbers: Use parentheses (123) not minus -123\n\n### Formula Construction Rules\n\n#### Assumptions Placement\n- Place ALL assumptions (growth rates, margins, multiples, etc.) in separate assumption cells\n- Use cell referenc

    … 8,847 more characters in the raw trajectory.

32. 52Skill1

    Tool execution only — no assistant text

    Skillxlsx

    Arguments

    xlsx

    Output

    Launching skill: xlsx
    
    [metadata]
    success: true
    commandName: xlsx

33. 54Now I'll build the workbook. Given the complexity of cross-referencing capacity, economics, and vendor terms, I'll write…146k

    Now I'll build the workbook. Given the complexity of cross-referencing capacity, economics, and vendor terms, I'll write this as a structured openpyxl script with formulas (not hardcoded results) so it stays auditable.

34. 55Bash1

    Tool execution only — no assistant text

    Bashpython3 -c " import pandas as pd proposal = pd.read_csv('buyer_reset_proposal.csv') print(proposal.to_dict('records')) " > /tmp/analysis/proposal_records.txt wc -l /tmp/analysis/proposal_records.txt head -c 500 /tmp/analysis/proposal_records.txt1k chars

    Arguments

    python3 -c "
    import pandas as pd
    proposal = pd.read_csv('buyer_reset_proposal.csv')
    print(proposal.to_dict('records'))
    " > /tmp/analysis/proposal_records.txt
    wc -l /tmp/analysis/proposal_records.txt
    head -c 500 /tmp/analysis/proposal_records.txt

    Output

    1 /tmp/analysis/proposal_records.txt
    [{'proposal_date': '2026-06-12', 'cluster_code': 'MET', 'cluster_name': 'Metro Core', 'sku': 'GGS-84QJ', 'item': 'Chicken Caesar Wrap', 'proposed_action': 'Keep', 'proposed_facings': 2, 'buyer_comment': nan, 'supplier_projection_units_per_store_week': nan}, {'proposal_date': '2026-06-12', 'cluster_code': 'MET', 'cluster_name': 'Metro Core', 'sku': 'GGS-2VWK', 'item': 'Turkey Club Sandwich', 'proposed_action': 'Keep', 'proposed_facings': 1, 'buyer_comment': nan, 'supplier_projection_units_per_sto
    
    [stdout]
    1 /tmp/analysis/proposal_records.txt
    [{'proposal_date': '2026-06-12', 'cluster_code': 'MET', 'cluster_name': 'Metro Core', 'sku': 'GGS-84QJ', 'item': 'Chicken Caesar Wrap', 'proposed_action': 'Keep', 'proposed_facings': 2, 'buyer_comment': nan, 'supplier_projection_units_per_store_week': nan}, {'proposal_date': '2026-06-12', 'cluster_code': 'MET', 'cluster_name': 'Metro Core', 'sku': 'GGS-2VWK', 'item': 'Turkey Club Sandwich', 'proposed_action': 'K

    … 124 more characters of output in the raw trajectory.

35. 57Write154k1

    Tool execution only — no assistant text

    Write/tmp/analysis/build_workbook.py (+content)4k chars

    Arguments

    file_path

    /tmp/analysis/build_workbook.py

    content

    import pandas as pd
    from openpyxl import Workbook
    from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
    from openpyxl.utils import get_column_letter
    from openpyxl.worksheet.worksheet import Worksheet
    import itertools
    
    SRC = '/workspace/data/'
    OUT = '/workspace/output/reset_decision_workbook.xlsx'
    
    # ---------- Load source data ----------
    proposal = pd.read_csv(SRC + 'buyer_reset_proposal.csv')
    items = pd.read_csv(SRC + 'item_master_unit_economics.csv')
    capacity = pd.read_csv(SRC + 'store_cluster_capacity.cs

    … 3,464 more characters of arguments in the raw trajectory.

    Output

    File created successfully at: /tmp/analysis/build_workbook.py (file state is current in your context — no need to Read it back)
    
    [metadata]
    type: create
    filePath: /tmp/analysis/build_workbook.py
    content: |
      import pandas as pd
      from openpyxl import Workbook
      from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
      from openpyxl.utils import get_column_letter
      from openpyxl.worksheet.worksheet import Worksheet
      import itertools
      
      SRC = '/workspace/data/'
      OUT = '/workspace/output/reset_decision_workbook.xlsx'
      
      # ---------- Load source data ----------
      proposal = pd.read_csv(SRC + 'buyer_reset_proposal.csv')
      items = pd.read_csv(SRC + 'item_master_unit_economics.csv')
      capacity = pd.read_csv(SRC + 'store_cluster_capacity.csv')
      weekly = pd.read_csv(SRC + 'weekly_pos_inventory_waste.csv')
      
      CLUSTERS = capacity['cluster_code'].tolist()
      CLUSTER_NAME = dict(zip(capacity.cluster_code, capacity.cluster_name))
      SKUS = items['sku'].tolist()
      ITEM_NAME = dict(zip(it

    … 3,292 more characters of output in the raw trajectory.

36. 59Bash154k1

    Tool execution only — no assistant text

    Bashcd /tmp/analysis && python3 build_workbook.py

    Arguments

    cd /tmp/analysis && python3 build_workbook.py

    Output

    Sheets created: ['Summary', 'Final Assortment (Revised)', 'Capacity Reconciliation', 'Item Economics', 'Proposal Reconciliation Log', 'Vendor Terms', 'Demand Summary', 'Raw - Item Master', 'Raw - Cluster Capacity', 'Raw - Buyer Proposal', 'Raw - Weekly Data']
    Shell cwd was reset to /workspace
    
    [stdout]
    Sheets created: ['Summary', 'Final Assortment (Revised)', 'Capacity Reconciliation', 'Item Economics', 'Proposal Reconciliation Log', 'Vendor Terms', 'Demand Summary', 'Raw - Item Master', 'Raw - Cluster Capacity', 'Raw - Buyer Proposal', 'Raw - Weekly Data']
    [stderr]
    
    Shell cwd was reset to /workspace
    [metadata]
    noOutputExpected: false

37. 60Good, base structure works. Now let me build out the raw data sheets first (dependency order), then the derived sheets.157k

    Good, base structure works. Now let me build out the raw data sheets first (dependency order), then the derived sheets.

38. 61Edit1

    Tool execution only — no assistant text

    Edit/tmp/analysis/build_workbook.py (+replace_all, old_string, new_string)14k chars

    Arguments

    replace_all

    false

    file_path

    /tmp/analysis/build_workbook.py

    old_string

    print("Sheets created:", wb.sheetnames)
    wb.save(OUT)

    new_string

    print("Sheets created:", wb.sheetnames)
    
    # =====================================================================
    # RAW - ITEM MASTER
    # =====================================================================
    ws = ws_raw_item
    ws.sheet_view.showGridLines = False
    ws['A1'] = 'Item Master & Unit Economics (source: item_master_unit_economics.csv)'
    ws['A1'].font = f_title(12)
    ws.merge_cells('A1:N1')
    cols = list(items.columns)
    for j, c in enu

    … 4,323 more characters of arguments in the raw trajectory.

    Output

    The file /tmp/analysis/build_workbook.py has been updated successfully. (file state is current in your context — no need to Read it back)
    
    [metadata]
    filePath: /tmp/analysis/build_workbook.py
    oldString: |
      print("Sheets created:", wb.sheetnames)
      wb.save(OUT)
    newString: |
      print("Sheets created:", wb.sheetnames)
      
      # =====================================================================
      # RAW - ITEM MASTER
      # =====================================================================
      ws = ws_raw_item
      ws.sheet_view.showGridLines = False
      ws['A1'] = 'Item Master & Unit Economics (source: item_master_unit_economics.csv)'
      ws['A1'].font = f_title(12)
      ws.merge_cells('A1:N1')
      cols = list(items.columns)
      for j, c in enumerate(cols, start=1):
          ws.cell(row=3, column=j, value=c.replace('_', ' ').title())
      style_header_row(ws, 3, len(cols))
      for i, row in items.iterrows():
          for j, c in enumerate(cols, start=1):
              cell = ws.cell(row=4 + i, column=j, value=row[c])
      

    … 13,385 more characters of output in the raw trajectory.

39. 62Bash157k1

    Tool execution only — no assistant text

    Bashcd /tmp/analysis && python3 build_workbook.py

    Arguments

    cd /tmp/analysis && python3 build_workbook.py

    Output

    Sheets created: ['Summary', 'Final Assortment (Revised)', 'Capacity Reconciliation', 'Item Economics', 'Proposal Reconciliation Log', 'Vendor Terms', 'Demand Summary', 'Raw - Item Master', 'Raw - Cluster Capacity', 'Raw - Buyer Proposal', 'Raw - Weekly Data']
    Raw data sheets built. Rows written: 10 5 50 368
    Shell cwd was reset to /workspace
    
    [stdout]
    Sheets created: ['Summary', 'Final Assortment (Revised)', 'Capacity Reconciliation', 'Item Economics', 'Proposal Reconciliation Log', 'Vendor Terms', 'Demand Summary', 'Raw - Item Master', 'Raw - Cluster Capacity', 'Raw - Buyer Proposal', 'Raw - Weekly Data']
    Raw data sheets built. Rows written: 10 5 50 368
    [stderr]
    
    Shell cwd was reset to /workspace
    [metadata]
    noOutputExpected: false

40. 63Now let me build the Vendor Terms reference sheet and Demand Summary sheet.159k

    Now let me build the Vendor Terms reference sheet and Demand Summary sheet.

41. 64Edit1

    Tool execution only — no assistant text

    Edit/tmp/analysis/build_workbook.py (+replace_all, old_string, new_string)17k chars

    Arguments

    replace_all

    false

    file_path

    /tmp/analysis/build_workbook.py

    old_string

    wb.save(OUT)
    print("Raw data sheets built. Rows written:", len(items), len(capacity), len(proposal), len(weekly))

    new_string

    wb.save(OUT)
    print("Raw data sheets built. Rows written:", len(items), len(capacity), len(proposal), len(weekly))
    
    # =====================================================================
    # VENDOR TERMS (signed offer letters — authoritative for credits/routes/support)
    # =====================================================================
    ws = ws_vendor
    ws.sheet_view.showGridL

    … 3,629 more characters of arguments in the raw trajectory.

    Output

    The file /tmp/analysis/build_workbook.py has been updated successfully. (file state is current in your context — no need to Read it back)
    
    [metadata]
    filePath: /tmp/analysis/build_workbook.py
    oldString: |
      wb.save(OUT)
      print("Raw data sheets built. Rows written:", len(items), len(capacity), len(proposal), len(weekly))
    newString: |
      wb.save(OUT)
      print("Raw data sheets built. Rows written:", len(items), len(capacity), len(proposal), len(weekly))
      
      # =====================================================================
      # VENDOR TERMS (signed offer letters — authoritative for credits/routes/support)
      # =====================================================================
      ws = ws_vendor
      ws.sheet_view.showGridLines = False
      ws['A1'] = 'Signed Vendor Offer Letters — Prepared Foods Q3 2026'
      ws['A1'].font = f_title(14)
      ws.merge_cells('A1:H1')
      ws['A2'] = 'These signed terms supersede informal proposal notes wherever the two conflict. Source: signed_vendor_offer_letters.pdf'

    … 16,452 more characters of output in the raw trajectory.

42. 65Bash159k1

    Tool execution only — no assistant text

    Bashcd /tmp/analysis && python3 build_workbook.py

    Arguments

    cd /tmp/analysis && python3 build_workbook.py

    Output

    Sheets created: ['Summary', 'Final Assortment (Revised)', 'Capacity Reconciliation', 'Item Economics', 'Proposal Reconciliation Log', 'Vendor Terms', 'Demand Summary', 'Raw - Item Master', 'Raw - Cluster Capacity', 'Raw - Buyer Proposal', 'Raw - Weekly Data']
    Raw data sheets built. Rows written: 10 5 50 368
    Vendor terms sheet built.
    Shell cwd was reset to /workspace
    
    [stdout]
    Sheets created: ['Summary', 'Final Assortment (Revised)', 'Capacity Reconciliation', 'Item Economics', 'Proposal Reconciliation Log', 'Vendor Terms', 'Demand Summary', 'Raw - Item Master', 'Raw - Cluster Capacity', 'Raw - Buyer Proposal', 'Raw - Weekly Data']
    Raw data sheets built. Rows written: 10 5 50 368
    Vendor terms sheet built.
    [stderr]
    
    Shell cwd was reset to /workspace
    [metadata]
    noOutputExpected: false

43. 66Now the Demand Summary sheet — a full 50-row cross join (10 SKUs × 5 clusters) with SUMIFS/AVERAGEIFS formulas against t…162k

    Now the Demand Summary sheet — a full 50-row cross join (10 SKUs × 5 clusters) with SUMIFS/AVERAGEIFS formulas against the raw weekly data.

44. 67Edit1

    Tool execution only — no assistant text

    Edit/tmp/analysis/build_workbook.py (+replace_all, old_string, new_string)8k chars

    Arguments

    replace_all

    false

    file_path

    /tmp/analysis/build_workbook.py

    old_string

    wb.save(OUT)
    print("Vendor terms sheet built.")

    new_string

    wb.save(OUT)
    print("Vendor terms sheet built.")
    
    # =====================================================================
    # DEMAND SUMMARY — full 50-row cross join (SKU x Cluster), formula-driven
    # from Raw - Weekly Data. This is the internal demand signal per the
    # merchant handoff trust hierarchy (supplier projections are excluded).
    # =====================================================================
    ws = ws_demand
    ws.sheet_view.showG

    … 3,282 more characters of arguments in the raw trajectory.

    Output

    The file /tmp/analysis/build_workbook.py has been updated successfully. (file state is current in your context — no need to Read it back)
    
    [metadata]
    filePath: /tmp/analysis/build_workbook.py
    oldString: |
      wb.save(OUT)
      print("Vendor terms sheet built.")
    newString: |
      wb.save(OUT)
      print("Vendor terms sheet built.")
      
      # =====================================================================
      # DEMAND SUMMARY — full 50-row cross join (SKU x Cluster), formula-driven
      # from Raw - Weekly Data. This is the internal demand signal per the
      # merchant handoff trust hierarchy (supplier projections are excluded).
      # =====================================================================
      ws = ws_demand
      ws.sheet_view.showGridLines = False
      ws['A1'] = 'Internal Demand Summary — 8 weeks, Apr 6–May 25, 2026 (aggregated from Raw - Weekly Data)'
      ws['A1'].font = f_title(12)
      ws.merge_cells('A1:O1')
      ws['A2'] = 'Per merchant handoff: internal sales/waste/inventory records are the accepted de

    … 7,138 more characters of output in the raw trajectory.

45. 68Bash162k1

    Tool execution only — no assistant text

    Bashcd /tmp/analysis && python3 build_workbook.py

    Arguments

    cd /tmp/analysis && python3 build_workbook.py

    Output

    Sheets created: ['Summary', 'Final Assortment (Revised)', 'Capacity Reconciliation', 'Item Economics', 'Proposal Reconciliation Log', 'Vendor Terms', 'Demand Summary', 'Raw - Item Master', 'Raw - Cluster Capacity', 'Raw - Buyer Proposal', 'Raw - Weekly Data']
    Raw data sheets built. Rows written: 10 5 50 368
    Vendor terms sheet built.
    Demand summary sheet built: 50 rows
    Shell cwd was reset to /workspace
    
    [stdout]
    Sheets created: ['Summary', 'Final Assortment (Revised)', 'Capacity Reconciliation', 'Item Economics', 'Proposal Reconciliation Log', 'Vendor Terms', 'Demand Summary', 'Raw - Item Master', 'Raw - Cluster Capacity', 'Raw - Buyer Proposal', 'Raw - Weekly Data']
    Raw data sheets built. Rows written: 10 5 50 368
    Vendor terms sheet built.
    Demand summary sheet built: 50 rows
    [stderr]
    
    Shell cwd was reset to /workspace
    [metadata]
    noOutputExpected: false

46. 70Let me check for formula errors at this checkpoint before continuing.162k

    Let me check for formula errors at this checkpoint before continuing.

47. 71Bash1

    Tool execution only — no assistant text

    Bashfind / -iname "recalc.py" -path "*xlsx*" 2>/dev/null

    Arguments

    find / -iname "recalc.py" -path "*xlsx*" 2>/dev/null

    Output

    /harbor/skills/xlsx/scripts/recalc.py
    /logs/agent/sessions/skills/xlsx/scripts/recalc.py
    
    [stdout]
    /harbor/skills/xlsx/scripts/recalc.py
    /logs/agent/sessions/skills/xlsx/scripts/recalc.py
    [metadata]
    returnCodeInterpretation: Some directories were inaccessible
    noOutputExpected: false

48. 72Bash162k1

    Tool execution only — no assistant text

    Bashcd /workspace/output && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py reset_decision_workbook.xlsx 60

    Arguments

    cd /workspace/output && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py reset_decision_workbook.xlsx 60

    Output

    {
      "status": "success",
      "total_errors": 0,
      "error_summary": {},
      "total_formulas": 700
    }
    
    [stdout]
    {
      "status": "success",
      "total_errors": 0,
      "error_summary": {},
      "total_formulas": 700
    }
    [metadata]
    noOutputExpected: false

49. 74Bash163k1

    Tool execution only — no assistant text

    Bashpython3 -c " import pandas as pd df = pd.read_excel('reset_decision_workbook.xlsx', sheet_name='Demand Summary', header=3) df = df[(df['Cluster Code']=='MET') & (df['SKU']=='GGS-8XUY')] print(df[['Cluster Code','SKU','Weeks of Data','Avg Stores Ranged','Avg Weekly Sales / Store','Waste Rate %']]) "

    Arguments

    python3 -c "
    import pandas as pd
    df = pd.read_excel('reset_decision_workbook.xlsx', sheet_name='Demand Summary', header=3)
    df = df[(df['Cluster Code']=='MET') & (df['SKU']=='GGS-8XUY')]
    print(df[['Cluster Code','SKU','Weeks of Data','Avg Stores Ranged','Avg Weekly Sales / Store','Waste Rate %']])
    "
    

    Output

    Cluster Code       SKU  ...  Avg Weekly Sales / Store  Waste Rate %
    9          MET  GGS-8XUY  ...                  3.152778      0.106299
    
    [1 rows x 6 columns]
    
    [stdout]
      Cluster Code       SKU  ...  Avg Weekly Sales / Store  Waste Rate %
    9          MET  GGS-8XUY  ...                  3.152778      0.106299
    
    [1 rows x 6 columns]
    [metadata]
    noOutputExpected: false

50. 76Matches my earlier calculations exactly. Now let's build the Item Economics sheet with credit-adjusted net GP.166k

    Matches my earlier calculations exactly. Now let's build the Item Economics sheet with credit-adjusted net GP.

51. 77Edit1

    Tool execution only — no assistant text

    Edit/tmp/analysis/build_workbook.py (+replace_all, old_string, new_string)11k chars

    Arguments

    replace_all

    false

    file_path

    /tmp/analysis/build_workbook.py

    old_string

    wb.save(OUT)
    print("Demand summary sheet built:", len(pairs), "rows")

    new_string

    wb.save(OUT)
    print("Demand summary sheet built:", len(pairs), "rows")
    
    # =====================================================================
    # ITEM ECONOMICS — 50-row SKU x Cluster, credit-adjusted net GP/store/week
    # =====================================================================
    ws = ws_econ
    ws.sheet_view.showGridLines = False
    ws['A1'] = 'Item Economics — Credit-Adjusted, by SKU x Cluster'
    ws['A1'].font

    … 4,597 more characters of arguments in the raw trajectory.

    Output

    The file /tmp/analysis/build_workbook.py has been updated successfully. (file state is current in your context — no need to Read it back)
    
    [metadata]
    filePath: /tmp/analysis/build_workbook.py
    oldString: |
      wb.save(OUT)
      print("Demand summary sheet built:", len(pairs), "rows")
    newString: |
      wb.save(OUT)
      print("Demand summary sheet built:", len(pairs), "rows")
      
      # =====================================================================
      # ITEM ECONOMICS — 50-row SKU x Cluster, credit-adjusted net GP/store/week
      # =====================================================================
      ws = ws_econ
      ws.sheet_view.showGridLines = False
      ws['A1'] = 'Item Economics — Credit-Adjusted, by SKU x Cluster'
      ws['A1'].font = f_title(14)
      ws.merge_cells('A1:T1')
      ws['A2'] = ('Shrink credit rate follows signed vendor letters (Vendor Terms tab): GreenFork 30% where cluster delivers >= 4x/week; '
                  'Sakura 50% in Metro Core only (M-11 route); Urban Spoon and EatWell carry no shr

    … 9,816 more characters of output in the raw trajectory.

52. 79Edit166k1

    Tool execution only — no assistant text

    Edit/tmp/analysis/build_workbook.py (+replace_all, old_string, new_string)1k chars

    Arguments

    replace_all

    false

    file_path

    /tmp/analysis/build_workbook.py

    old_string

    stripe(ws, 5, last_row, len(econ_headers))
    # flag "No pilot data" rows gold
    for i in range(len(pairs)):
        r = 5 + i
        if ws.cell(row=r, column=14).value == '=IF($K{}="","No pilot data","Yes")'.format(r):
            pass
    autosize(ws, [16, 11, 18, 10, 22, 17, 11, 10, 10, 12, 15, 15, 11, 13, 12, 14, 16, 16, 11, 15])

    new_string

    stripe(ws, 5, last_row, len(econ_headers))
    autosize(ws, [16, 11, 18, 10, 22, 17, 11, 10, 10, 12, 15, 15, 11, 13, 12, 14, 16, 16, 11, 15])

    Output

    The file /tmp/analysis/build_workbook.py has been updated successfully. (file state is current in your context — no need to Read it back)
    
    [metadata]
    filePath: /tmp/analysis/build_workbook.py
    oldString: |
      stripe(ws, 5, last_row, len(econ_headers))
      # flag "No pilot data" rows gold
      for i in range(len(pairs)):
          r = 5 + i
          if ws.cell(row=r, column=14).value == '=IF($K{}="","No pilot data","Yes")'.format(r):
              pass
      autosize(ws, [16, 11, 18, 10, 22, 17, 11, 10, 10, 12, 15, 15, 11, 13, 12, 14, 16, 16, 11, 15])
    newString: |
      stripe(ws, 5, last_row, len(econ_headers))
      autosize(ws, [16, 11, 18, 10, 22, 17, 11, 10, 10, 12, 15, 15, 11, 13, 12, 14, 16, 16, 11, 15])
    originalFile: null
    structuredPatch:
      -
        oldStart: 427
        oldLines: 11
        newStart: 427
        newLines: 6
        lines:
          -  last_row = 4 + len(pairs)
          -  apply_border(ws, 4, last_row, len(econ_headers))
          -  stripe(ws, 5, last_row, len(econ_headers))
          - -# flag "No pilot data" rows gold
          - -for i in ran

    … 369 more characters of output in the raw trajectory.

53. 80Bash167k1

    Tool execution only — no assistant text

    Bashcd /tmp/analysis && python3 build_workbook.py && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py reset_decision_workbook.xlsx 601k chars

    Arguments

    cd /tmp/analysis && python3 build_workbook.py && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py reset_decision_workbook.xlsx 60

    Output

    Sheets created: ['Summary', 'Final Assortment (Revised)', 'Capacity Reconciliation', 'Item Economics', 'Proposal Reconciliation Log', 'Vendor Terms', 'Demand Summary', 'Raw - Item Master', 'Raw - Cluster Capacity', 'Raw - Buyer Proposal', 'Raw - Weekly Data']
    Raw data sheets built. Rows written: 10 5 50 368
    Vendor terms sheet built.
    Demand summary sheet built: 50 rows
    Item economics sheet built: 50 rows
    {
      "error": "File reset_decision_workbook.xlsx does not exist"
    }
    Shell cwd was reset to /workspace
    
    [stdout]
    Sheets created: ['Summary', 'Final Assortment (Revised)', 'Capacity Reconciliation', 'Item Economics', 'Proposal Reconciliation Log', 'Vendor Terms', 'Demand Summary', 'Raw - Item Master', 'Raw - Cluster Capacity', 'Raw - Buyer Proposal', 'Raw - Weekly Data']
    Raw data sheets built. Rows written: 10 5 50 368
    Vendor terms sheet built.
    Demand summary sheet built: 50 rows
    Item economics sheet built: 50 rows
    {
      "error": "File reset_decision_workbook.xlsx does not exist"
    }
    [stderr]
    
    

    … 72 more characters of output in the raw trajectory.

54. 82Bash167k1

    Tool execution only — no assistant text

    Bashpython3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py /workspace/output/reset_decision_workbook.xlsx 60

    Arguments

    python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py /workspace/output/reset_decision_workbook.xlsx 60

    Output

    {
      "status": "success",
      "total_errors": 0,
      "error_summary": {},
      "total_formulas": 1500
    }
    
    [stdout]
    {
      "status": "success",
      "total_errors": 0,
      "error_summary": {},
      "total_formulas": 1500
    }
    [metadata]
    noOutputExpected: false

55. 83Let me spot-check the computed economics against my earlier Python analysis.167k

    Let me spot-check the computed economics against my earlier Python analysis.

56. 84Bash1

    Tool execution only — no assistant text

    Bashcd /workspace/output && python3 -c " import pandas as pd df = pd.read_excel('reset_decision_workbook.xlsx', sheet_name='Item Economics', header=3) chk = df[(df['Cluster Code'].isin(['COM','CAM','MET'])) & (df['SKU'].isin(['GGS-3RZA','GGS-5MTC']))] print(chk[['Cluster Code','Item','Shrink Credit Rate','Weekly Net GP/Store (after credit)']].to_string(index=False)) print() print('Total chain weekly net GP (all rows w/ data):', df['Chain Weekly Net GP'].sum()) "1k chars

    Arguments

    cd /workspace/output && python3 -c "
    import pandas as pd
    df = pd.read_excel('reset_decision_workbook.xlsx', sheet_name='Item Economics', header=3)
    chk = df[(df['Cluster Code'].isin(['COM','CAM','MET'])) & (df['SKU'].isin(['GGS-3RZA','GGS-5MTC']))]
    print(chk[['Cluster Code','Item','Shrink Credit Rate','Weekly Net GP/Store (after credit)']].to_string(index=False))
    print()
    print('Total chain weekly net GP (all rows w/ data):', df['Chain Weekly Net GP'].sum())
    "
    

    Output

    Cluster Code               Item  Shrink Credit Rate  Weekly Net GP/Store (after credit)
             MET Hummus Veggie Wrap                 0.3                            6.611667
             MET   Caprese Ciabatta                 0.3                           11.685417
             COM Hummus Veggie Wrap                 0.3                            7.328774
             COM   Caprese Ciabatta                 0.3                            6.331563
             CAM Hummus Veggie Wrap                 0.3                           10.522670
             CAM   Caprese Ciabatta                 0.3                           12.348750
    
    Total chain weekly net GP (all rows w/ data): 7817.140541666666
    
    [stdout]
    Cluster Code               Item  Shrink Credit Rate  Weekly Net GP/Store (after credit)
             MET Hummus Veggie Wrap                 0.3                            6.611667
             MET   Caprese Ciabatta                 0.3                           11.685417
             COM Hummus Veggie Wrap              

    … 410 more characters of output in the raw trajectory.

57. 86Now let's build the Final Assortment (Revised) sheet — the cluster-level final decisions.172k

    Now let's build the Final Assortment (Revised) sheet — the cluster-level final decisions.

58. 87Edit1

    Tool execution only — no assistant text

    Edit/tmp/analysis/build_workbook.py (+replace_all, old_string, new_string)17k chars

    Arguments

    replace_all

    false

    file_path

    /tmp/analysis/build_workbook.py

    old_string

    wb.save(OUT)
    print("Item economics sheet built:", len(pairs), "rows")

    new_string

    wb.save(OUT)
    print("Item economics sheet built:", len(pairs), "rows")
    
    # =====================================================================
    # FINAL ASSORTMENT (REVISED) — the recommended cluster-level case, 31 lines
    # =====================================================================
    ws = ws_final
    ws.sheet_view.showGridLines = False
    ws['A1'] = 'Final Assortment — Recommended, First Four Weeks of July Reset'

    … 7,683 more characters of arguments in the raw trajectory.

    Output

    The file /tmp/analysis/build_workbook.py has been updated successfully. (file state is current in your context — no need to Read it back)
    
    [metadata]
    filePath: /tmp/analysis/build_workbook.py
    oldString: |
      wb.save(OUT)
      print("Item economics sheet built:", len(pairs), "rows")
    newString: |
      wb.save(OUT)
      print("Item economics sheet built:", len(pairs), "rows")
      
      # =====================================================================
      # FINAL ASSORTMENT (REVISED) — the recommended cluster-level case, 31 lines
      # =====================================================================
      ws = ws_final
      ws.sheet_view.showGridLines = False
      ws['A1'] = 'Final Assortment — Recommended, First Four Weeks of July Reset'
      ws['A1'].font = f_title(14)
      ws.merge_cells('A1:M1')
      ws['A2'] = 'Recommended facings (blue) are the only judgment inputs on this tab; tray slots, sales, and GP are pulled or calculated from Item Economics / Raw - Item Master.'
      ws['A2'].font = f_note()
      ws.merge_cel

    … 16,082 more characters of output in the raw trajectory.

59. 88Bash173k1

    Tool execution only — no assistant text

    Bashcd /tmp/analysis && python3 build_workbook.py && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py /workspace/output/reset_decision_workbook.xlsx 601k chars

    Arguments

    cd /tmp/analysis && python3 build_workbook.py && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py /workspace/output/reset_decision_workbook.xlsx 60

    Output

    Sheets created: ['Summary', 'Final Assortment (Revised)', 'Capacity Reconciliation', 'Item Economics', 'Proposal Reconciliation Log', 'Vendor Terms', 'Demand Summary', 'Raw - Item Master', 'Raw - Cluster Capacity', 'Raw - Buyer Proposal', 'Raw - Weekly Data']
    Raw data sheets built. Rows written: 10 5 50 368
    Vendor terms sheet built.
    Demand summary sheet built: 50 rows
    Item economics sheet built: 50 rows
    Final assortment sheet built: 31 rows
    {
      "status": "success",
      "total_errors": 0,
      "error_summary": {},
      "total_formulas": 1737
    }
    Shell cwd was reset to /workspace
    
    [stdout]
    Sheets created: ['Summary', 'Final Assortment (Revised)', 'Capacity Reconciliation', 'Item Economics', 'Proposal Reconciliation Log', 'Vendor Terms', 'Demand Summary', 'Raw - Item Master', 'Raw - Cluster Capacity', 'Raw - Buyer Proposal', 'Raw - Weekly Data']
    Raw data sheets built. Rows written: 10 5 50 368
    Vendor terms sheet built.
    Demand summary sheet built: 50 rows
    Item economics sheet built: 50 rows
    Final as

    … 208 more characters of output in the raw trajectory.

60. 90Bash173k1

    Tool execution only — no assistant text

    Bashcd /workspace/output && python3 -c " import pandas as pd df = pd.read_excel('reset_decision_workbook.xlsx', sheet_name='Final Assortment (Revised)', header=None) # print rollup block near bottom print(df.iloc[32:40].to_string()) "7k chars

    Arguments

    cd /workspace/output && python3 -c "
    import pandas as pd
    df = pd.read_excel('reset_decision_workbook.xlsx', sheet_name='Final Assortment (Revised)', header=None)
    # print rollup block near bottom
    print(df.iloc[32:40].to_string())
    "
    

    Output

    0                  1            2                3                       4      5    6    7         8         9    10         11                                                                                                                                                                                                                  12
    32                             RUR|GGS-9PQL                RUR  Rural North         GGS-9PQL  Southwest Chicken Bowl      1  1.5  1.5  1.383929  5.143304   14   72.00625                                                                                                                                                                                                    Core; unchanged.
    33                             RUR|GGS-5MTC                RUR  Rural North         GGS-5MTC      Hummus Veggie Wrap      1    1    1  1.535714  4.503393   14    63.0475                                   REINSTATED as sole vegetarian anchor. Caprese route-blocked here by signe

    … 5,883 more characters of output in the raw trajectory.

61. 92Bash174k1

    Tool execution only — no assistant text

    Bashpython3 -c " import pandas as pd df = pd.read_excel('reset_decision_workbook.xlsx', sheet_name='Final Assortment (Revised)', header=None) print(df.iloc[38:43][[0,1,2,3,4,5]].to_string()) "

    Arguments

    python3 -c "
    import pandas as pd
    df = pd.read_excel('reset_decision_workbook.xlsx', sheet_name='Final Assortment (Revised)', header=None)
    print(df.iloc[38:43][[0,1,2,3,4,5]].to_string())
    "
    

    Output

    0                  1  2     3   4    5
    38  MET         Metro Core  8  11.5  12  0.5
    39  COM  Commuter Suburban  6     9  10    1
    40  CAM  Campus / Hospital  7    10  10    0
    41  HWY   Highway / Travel  5   6.5   8  1.5
    42  RUR        Rural North  5   6.5   7  0.5
    
    [stdout]
          0                  1  2     3   4    5
    38  MET         Metro Core  8  11.5  12  0.5
    39  COM  Commuter Suburban  6     9  10    1
    40  CAM  Campus / Hospital  7    10  10    0
    41  HWY   Highway / Travel  5   6.5   8  1.5
    42  RUR        Rural North  5   6.5   7  0.5
    [metadata]
    noOutputExpected: false

62. 93All matches my earlier hand-verified analysis exactly. Now let's build the Capacity Reconciliation sheet comparing propo…176k

    All matches my earlier hand-verified analysis exactly. Now let's build the Capacity Reconciliation sheet comparing proposal vs revised.

63. 94Edit1

    Tool execution only — no assistant text

    Edit/tmp/analysis/build_workbook.py (+replace_all, old_string, new_string)8k chars

    Arguments

    replace_all

    false

    file_path

    /tmp/analysis/build_workbook.py

    old_string

    wb.save(OUT)
    print("Final assortment sheet built:", len(rev_items), "rows")

    new_string

    wb.save(OUT)
    print("Final assortment sheet built:", len(rev_items), "rows")
    
    # =====================================================================
    # CAPACITY RECONCILIATION — proposal (as submitted) vs revised, per cluster
    # =====================================================================
    ws = ws_capacity
    ws.sheet_view.showGridLines = False
    ws['A1'] = 'Capacity Reconciliation — Buyer Proposal vs. Revi

    … 3,066 more characters of arguments in the raw trajectory.

    Output

    The file /tmp/analysis/build_workbook.py has been updated successfully. (file state is current in your context — no need to Read it back)
    
    [metadata]
    filePath: /tmp/analysis/build_workbook.py
    oldString: |
      wb.save(OUT)
      print("Final assortment sheet built:", len(rev_items), "rows")
    newString: |
      wb.save(OUT)
      print("Final assortment sheet built:", len(rev_items), "rows")
      
      # =====================================================================
      # CAPACITY RECONCILIATION — proposal (as submitted) vs revised, per cluster
      # =====================================================================
      ws = ws_capacity
      ws.sheet_view.showGridLines = False
      ws['A1'] = 'Capacity Reconciliation — Buyer Proposal vs. Revised Recommendation'
      ws['A1'].font = f_title(14)
      ws.merge_cells('A1:J1')
      ws['A2'] = ('Handoff rule: fit the first four weeks into the live case; do not assume the September lease-line change, extra trays, or extra driver '
                  'stops. No partial facings — a

    … 6,664 more characters of output in the raw trajectory.

64. 96Bash177k1

    Tool execution only — no assistant text

    Bashcd /tmp/analysis && python3 build_workbook.py && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py /workspace/output/reset_decision_workbook.xlsx 601k chars

    Arguments

    cd /tmp/analysis && python3 build_workbook.py && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py /workspace/output/reset_decision_workbook.xlsx 60

    Output

    Sheets created: ['Summary', 'Final Assortment (Revised)', 'Capacity Reconciliation', 'Item Economics', 'Proposal Reconciliation Log', 'Vendor Terms', 'Demand Summary', 'Raw - Item Master', 'Raw - Cluster Capacity', 'Raw - Buyer Proposal', 'Raw - Weekly Data']
    Raw data sheets built. Rows written: 10 5 50 368
    Vendor terms sheet built.
    Demand summary sheet built: 50 rows
    Item economics sheet built: 50 rows
    Final assortment sheet built: 31 rows
    Capacity reconciliation sheet built.
    {
      "status": "success",
      "total_errors": 0,
      "error_summary": {},
      "total_formulas": 1780
    }
    Shell cwd was reset to /workspace
    
    [stdout]
    Sheets created: ['Summary', 'Final Assortment (Revised)', 'Capacity Reconciliation', 'Item Economics', 'Proposal Reconciliation Log', 'Vendor Terms', 'Demand Summary', 'Raw - Item Master', 'Raw - Cluster Capacity', 'Raw - Buyer Proposal', 'Raw - Weekly Data']
    Raw data sheets built. Rows written: 10 5 50 368
    Vendor terms sheet built.
    Demand summary sheet built: 50 rows
    Item ec

    … 282 more characters of output in the raw trajectory.

65. 97Bash177k1

    Tool execution only — no assistant text

    Bashcd /workspace/output && python3 -c " import pandas as pd df = pd.read_excel('reset_decision_workbook.xlsx', sheet_name='Capacity Reconciliation', header=3) print(df.to_string(index=False)) "3k chars

    Arguments

    cd /workspace/output && python3 -c "
    import pandas as pd
    df = pd.read_excel('reset_decision_workbook.xlsx', sheet_name='Capacity Reconciliation', header=3)
    print(df.to_string(index=False))
    "
    

    Output

    Cluster Code      Cluster Name  Tray Slots Available                Extra Tray Project (Sept, not available for July)  Proposal: Tray Slots Used  Proposal: Slack        Proposal: Fits?  Revised: Tray Slots Used  Revised: Slack Revised: Fits?
             MET        Metro Core                    12 Pending September lease-line change; not approved for July reset                       12.0              0.0                    Yes                      11.5             0.5            Yes
             COM Commuter Suburban                    10                          No incremental tray capacity this reset                       10.5             -0.5 No — over by 0.5 slots                       9.0             1.0            Yes
             CAM Campus / Hospital                    10                          No incremental tray capacity this reset                       10.5             -0.5 No — over by 0.5 slots                      10.0             0.0            Yes
             HWY  Highway / Travel  

    … 2,436 more characters of output in the raw trajectory.

66. 98This confirms the capacity story precisely: proposal is infeasible in 4 of 5 clusters (49 total slots needed vs 47 avail…178k

    This confirms the capacity story precisely: proposal is infeasible in 4 of 5 clusters (49 total slots needed vs 47 available chainwide), while the revised plan fits everywhere with sensible buffers (43.5 of 47). Now let's build the Proposal Reconciliation Log — the full 50-row decision log.

67. 99Bash1

    Tool execution only — no assistant text

    Bashcd /workspace/data && python3 -c " import pandas as pd p = pd.read_csv('buyer_reset_proposal.csv') for i,row in p.iterrows(): print(f\" ('{row.cluster_code}','{row.sku}'), # {row.item} - {row.proposed_action} {row.proposed_facings}\") "32k chars

    Arguments

    cd /workspace/data && python3 -c "
    import pandas as pd
    p = pd.read_csv('buyer_reset_proposal.csv')
    for i,row in p.iterrows():
        print(f\"    ('{row.cluster_code}','{row.sku}'),  # {row.item} - {row.proposed_action} {row.proposed_facings}\")
    "
    

    Output

    <persisted-output>
    Output too large (40.6KB). Full output saved to: /logs/agent/sessions/projects/-workspace/c541e2b2-795b-47fa-89fb-f80bccc9f9b0/tool-results/b1211vru8.txt
    
    Preview (first 2KB):
        ('MET','GGS-84QJ'),  # <bound method IndexOpsMixin.item of proposal_date                                        2026-06-12
    cluster_code                                                MET
    cluster_name                                         Metro Core
    sku                                                    GGS-84QJ
    item                                        Chicken Caesar Wrap
    proposed_action                                            Keep
    proposed_facings                                              2
    buyer_comment                                               NaN
    supplier_projection_units_per_store_week                    NaN
    Name: 0, dtype: object> - Keep 2
        ('MET','GGS-2VWK'),  # <bound method IndexOpsMixin.item of proposal_date                                         2026-06-12
    clust

    … 31,381 more characters of output in the raw trajectory.

68. 101Edit189k1

    Tool execution only — no assistant text

    Edit/tmp/analysis/build_workbook.py (+replace_all, old_string, new_string)27k chars

    Arguments

    replace_all

    false

    file_path

    /tmp/analysis/build_workbook.py

    old_string

    wb.save(OUT)
    print("Capacity reconciliation sheet built.")

    new_string

    wb.save(OUT)
    print("Capacity reconciliation sheet built.")
    
    # =====================================================================
    # PROPOSAL RECONCILIATION LOG — all 50 buyer-proposal lines, decision + reason + authority
    # =====================================================================
    # (cluster, sku): (decision, reason, authority)
    DECISIONS = {
     ('MET','GGS-84QJ'): ('Accept', 'Core anchor performing in line with expect

    … 12,677 more characters of arguments in the raw trajectory.

    Output

    The file /tmp/analysis/build_workbook.py has been updated successfully. (file state is current in your context — no need to Read it back)
    
    [metadata]
    filePath: /tmp/analysis/build_workbook.py
    oldString: |
      wb.save(OUT)
      print("Capacity reconciliation sheet built.")
    newString: |
      wb.save(OUT)
      print("Capacity reconciliation sheet built.")
      
      # =====================================================================
      # PROPOSAL RECONCILIATION LOG — all 50 buyer-proposal lines, decision + reason + authority
      # =====================================================================
      # (cluster, sku): (decision, reason, authority)
      DECISIONS = {
       ('MET','GGS-84QJ'): ('Accept', 'Core anchor performing in line with expectations; no change needed.', 'Internal sales data'),
       ('MET','GGS-2VWK'): ('Accept', 'Core anchor performing in line with expectations; no change needed.', 'Internal sales data'),
       ('MET','GGS-9PQL'): ('Accept', 'Core anchor performing in line with expectations; no c

    … 26,041 more characters of output in the raw trajectory.

69. 103Edit189k1

    Tool execution only — no assistant text

    Edit/tmp/analysis/build_workbook.py (+replace_all, old_string, new_string)1k chars

    Arguments

    replace_all

    false

    file_path

    /tmp/analysis/build_workbook.py

    old_string

        dec.font = Font(name=FONT_NAME, size=10, bold=True, color='FF0000FF')
        key_formula = f'B{r}&"|"&C{r}'  # not used directly; use cluster+sku match against Final Assortment key col
        rf = ws.cell(row=r, column=8, value=f'=IFERROR(INDEX({FA}!$F:$F,MATCH($A{r}&"|"&$C{r},{FA}!$A:$A,0)),0)')

    new_string

        dec.font = Font(name=FONT_NAME, size=10, bold=True, color='FF0000FF')
        rf = ws.cell(row=r, column=8, value=f'=IFERROR(INDEX({FA}!$F:$F,MATCH($A{r}&"|"&$C{r},{FA}!$A:$A,0)),0)')

    Output

    The file /tmp/analysis/build_workbook.py has been updated successfully. (file state is current in your context — no need to Read it back)
    
    [metadata]
    filePath: /tmp/analysis/build_workbook.py
    oldString: |
          dec.font = Font(name=FONT_NAME, size=10, bold=True, color='FF0000FF')
          key_formula = f'B{r}&"|"&C{r}'  # not used directly; use cluster+sku match against Final Assortment key col
          rf = ws.cell(row=r, column=8, value=f'=IFERROR(INDEX({FA}!$F:$F,MATCH($A{r}&"|"&$C{r},{FA}!$A:$A,0)),0)')
    newString: |
          dec.font = Font(name=FONT_NAME, size=10, bold=True, color='FF0000FF')
          rf = ws.cell(row=r, column=8, value=f'=IFERROR(INDEX({FA}!$F:$F,MATCH($A{r}&"|"&$C{r},{FA}!$A:$A,0)),0)')
    originalFile: null
    structuredPatch:
      -
        oldStart: 717
        oldLines: 7
        newStart: 717
        newLines: 6
        lines:
          -      pf.font = f_input(); pf.number_format = NUM0
          -      dec = ws.cell(row=r, column=7, value=decision)
          -      dec.font = Font(name=FONT_NAME, size=10, bold=True

    … 415 more characters of output in the raw trajectory.

70. 104Bash189k1

    Tool execution only — no assistant text

    Bashcd /tmp/analysis && python3 -c " exec(open('build_workbook.py').read().split(chr(10)+'ws = ws_recon')[0]) print(len(DECISIONS) if 'DECISIONS' in dir() else 'not yet defined') " 2>&1 | tail -5 echo "---running full---" python3 build_workbook.py 2>&1 | tail -202k chars

    Arguments

    cd /tmp/analysis && python3 -c "
    exec(open('build_workbook.py').read().split(chr(10)+'ws = ws_recon')[0])
    print(len(DECISIONS) if 'DECISIONS' in dir() else 'not yet defined')
    " 2>&1 | tail -5
    echo "---running full---"
    python3 build_workbook.py 2>&1 | tail -20

    Output

    Demand summary sheet built: 50 rows
    Item economics sheet built: 50 rows
    Final assortment sheet built: 31 rows
    Capacity reconciliation sheet built.
    50
    ---running full---
    Sheets created: ['Summary', 'Final Assortment (Revised)', 'Capacity Reconciliation', 'Item Economics', 'Proposal Reconciliation Log', 'Vendor Terms', 'Demand Summary', 'Raw - Item Master', 'Raw - Cluster Capacity', 'Raw - Buyer Proposal', 'Raw - Weekly Data']
    Raw data sheets built. Rows written: 10 5 50 368
    Vendor terms sheet built.
    Demand summary sheet built: 50 rows
    Item economics sheet built: 50 rows
    Final assortment sheet built: 31 rows
    Capacity reconciliation sheet built.
    Reconciliation log sheet built: 50 rows
    Shell cwd was reset to /workspace
    
    [stdout]
    Demand summary sheet built: 50 rows
    Item economics sheet built: 50 rows
    Final assortment sheet built: 31 rows
    Capacity reconciliation sheet built.
    50
    ---running full---
    Sheets created: ['Summary', 'Final Assortment (Revised)', 'Capacity Reconciliation', 'Item Econo

    … 508 more characters of output in the raw trajectory.

71. 10550 decisions confirmed, ran cleanly. Let me recalc and spot-check.190k

    50 decisions confirmed, ran cleanly. Let me recalc and spot-check.

72. 106Bash1

    Tool execution only — no assistant text

    Bashpython3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py /workspace/output/reset_decision_workbook.xlsx 60

    Arguments

    python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py /workspace/output/reset_decision_workbook.xlsx 60

    Output

    {
      "status": "success",
      "total_errors": 0,
      "error_summary": {},
      "total_formulas": 1880
    }
    
    [stdout]
    {
      "status": "success",
      "total_errors": 0,
      "error_summary": {},
      "total_formulas": 1880
    }
    [metadata]
    noOutputExpected: false

73. 107Bash190k1

    Tool execution only — no assistant text

    Bashcd /workspace/output && python3 -c " import pandas as pd df = pd.read_excel('reset_decision_workbook.xlsx', sheet_name='Proposal Reconciliation Log', header=3) print(df['Decision'].value_counts()) print() print(df[['Cluster Code','Item','Proposed Facings','Decision','Revised Facings','Facing Change']].to_string(index=False)) "13k chars

    Arguments

    cd /workspace/output && python3 -c "
    import pandas as pd
    df = pd.read_excel('reset_decision_workbook.xlsx', sheet_name='Proposal Reconciliation Log', header=3)
    print(df['Decision'].value_counts())
    print()
    print(df[['Cluster Code','Item','Proposed Facings','Decision','Revised Facings','Facing Change']].to_string(index=False))
    "
    

    Output

    Decision
    Accept                            36
    Change — reinstate at 1 facing     5
    Reject                             4
    Change — reduce to 1 facing        3
    Change — remove                    2
    Name: count, dtype: int64
    
    Cluster Code                      Item  Proposed Facings                       Decision  Revised Facings  Facing Change
             MET       Chicken Caesar Wrap                 2                         Accept                2              0
             MET      Turkey Club Sandwich                 1                         Accept                1              0
             MET    Southwest Chicken Bowl                 1                         Accept                1              0
             MET        Hummus Veggie Wrap                 0 Change — reinstate at 1 facing                1              1
             MET                Cobb Salad                 1                         Accept                1              0
             MET       Egg Salad Croissant                 0   

    … 11,730 more characters of output in the raw trajectory.

74. 109Excellent, everything reconciles perfectly. Now let's build the Summary dashboard tab.196k

    Excellent, everything reconciles perfectly. Now let's build the Summary dashboard tab.

75. 110Edit1

    Tool execution only — no assistant text

    Edit/tmp/analysis/build_workbook.py (+replace_all, old_string, new_string)18k chars

    Arguments

    replace_all

    false

    file_path

    /tmp/analysis/build_workbook.py

    old_string

    wb.save(OUT)
    print("Reconciliation log sheet built:", len(prop_rows), "rows")

    new_string

    wb.save(OUT)
    print("Reconciliation log sheet built:", len(prop_rows), "rows")
    
    # =====================================================================
    # SUMMARY DASHBOARD
    # =====================================================================
    ws = ws_summary
    ws.sheet_view.showGridLines = False
    ws['A1'] = 'Prepared Foods Grab-and-Go Reset — Decision Summary'
    ws['A1'].font = f_title(18)
    ws.merge_cells('A1:

    … 8,319 more characters of arguments in the raw trajectory.

    Output

    The file /tmp/analysis/build_workbook.py has been updated successfully. (file state is current in your context — no need to Read it back)
    
    [metadata]
    filePath: /tmp/analysis/build_workbook.py
    oldString: |
      wb.save(OUT)
      print("Reconciliation log sheet built:", len(prop_rows), "rows")
    newString: |
      wb.save(OUT)
      print("Reconciliation log sheet built:", len(prop_rows), "rows")
      
      # =====================================================================
      # SUMMARY DASHBOARD
      # =====================================================================
      ws = ws_summary
      ws.sheet_view.showGridLines = False
      ws['A1'] = 'Prepared Foods Grab-and-Go Reset — Decision Summary'
      ws['A1'].font = f_title(18)
      ws.merge_cells('A1:G1')
      ws['A2'] = 'First four weeks of the July 2026 reset | Prepared by Category Planning for Space Planning & field operations'
      ws['A2'].font = f_note()
      ws.merge_cells('A2:G2')
      
      r = 4
      ws.cell(row=r, column=1, value='1. Capacity — does the case physically fit?').

    … 17,421 more characters of output in the raw trajectory.

76. 112I caught a few issues — a missing "Chain Weekly Waste Cost" column that the Summary sheet references, a fragile position…203k

    I caught a few issues — a missing "Chain Weekly Waste Cost" column that the Summary sheet references, a fragile positional-alignment assumption in the SUMPRODUCT formulas, and a potential text-in-arithmetic error for the one row with no pilot data. Let me fix these.

77. 113Bash1

    Tool execution only — no assistant text

    Bashcd /tmp/analysis && grep -n "column=20\|Chain Weekly Net GP\|value=f'=IF(\$N{r}=\"Yes\"" build_workbook.py

    Arguments

    cd /tmp/analysis && grep -n "column=20\|Chain Weekly Net GP\|value=f'=IF(\$N{r}=\"Yes\"" build_workbook.py

    Output

    365:                'Store Count', 'Chain Weekly Net GP']
    424:    c = ws.cell(row=r, column=20, value=f'=IF($N{r}="Yes",$R{r}*$S{r},"")')
    451:               'Weekly Net GP/Store (after credit)', 'Store Count', 'Chain Weekly Net GP', 'Notes / Flags']
    790:ws.cell(row=r1, column=1, value='Chain Weekly Net GP (after shrink credit)').font = f_calc()
    Shell cwd was reset to /workspace
    
    [stdout]
    365:                'Store Count', 'Chain Weekly Net GP']
    424:    c = ws.cell(row=r, column=20, value=f'=IF($N{r}="Yes",$R{r}*$S{r},"")')
    451:               'Weekly Net GP/Store (after credit)', 'Store Count', 'Chain Weekly Net GP', 'Notes / Flags']
    790:ws.cell(row=r1, column=1, value='Chain Weekly Net GP (after shrink credit)').font = f_calc()
    [stderr]
    
    Shell cwd was reset to /workspace
    [metadata]
    noOutputExpected: false

78. 114Read203k1

    Tool execution only — no assistant text

    Read/tmp/analysis/build_workbook.py (+offset, limit)8k chars

    Arguments

    file_path

    /tmp/analysis/build_workbook.py

    offset

    358

    limit

    70

    Output

    358	ws['A2'].font = f_note()
    359	ws.merge_cells('A2:T2')
    360	
    361	econ_headers = ['Key', 'Cluster Code', 'Cluster Name', 'SKU', 'Item', 'Vendor', 'Retail Price', 'Unit Cost',
    362	                'GP / Unit', 'Deliveries / Week', 'Avg Weekly Sales/Store', 'Avg Weekly Waste/Store',
    363	                'Waste Rate %', 'Has Internal Data?', 'Shrink Credit Rate', 'Weekly GP/Store (gross)',
    364	                'Weekly Waste $/Store (after credit)', 'Weekly Net GP/Store (after credit)',
    365	                'Store Count', 'Chain Weekly Net GP']
    366	for j, h in enumerate(econ_headers, start=1):
    367	    ws.cell(row=4, column=j, value=h)
    368	style_header_row(ws, 4, len(econ_headers))
    369	
    370	IM = "'Raw - Item Master'"
    371	CC = "'Raw - Cluster Capacity'"
    372	DS = "'Demand Summary'"
    373	for i, (cl, sku) in enumerate(pairs):
    374	    r = 5 + i
    375	    ws.cell(row=r, column=1, value=f'=B{r}&"|"&D{r}').font = f_calc()
    376	    ws.cell(row=r, column=2, value=cl).font = f_input()
    377	    ws.cell(row=r, c

    … 6,659 more characters of output in the raw trajectory.

79. 115Now let me fix this: add the missing "Chain Weekly Waste Cost" column, and make T/U output 0 (not "") for no-data rows s…206k

    Now let me fix this: add the missing "Chain Weekly Waste Cost" column, and make T/U output 0 (not "") for no-data rows so SUMPRODUCT downstream never multiplies text.

80. 116Edit1

    Tool execution only — no assistant text

    Edit/tmp/analysis/build_workbook.py (+replace_all, old_string, new_string)2k chars

    Arguments

    replace_all

    false

    file_path

    /tmp/analysis/build_workbook.py

    old_string

    econ_headers = ['Key', 'Cluster Code', 'Cluster Name', 'SKU', 'Item', 'Vendor', 'Retail Price', 'Unit Cost',
                    'GP / Unit', 'Deliveries / Week', 'Avg Weekly Sales/Store', 'Avg Weekly Waste/Store',
                    'Waste Rate %', 'Has Internal Data?', 'Shrink Credit Rate', 'Weekly GP/Store (gross)',
                    'Weekly Waste $/Store (after credit)', 'Weekly Net GP/Store (after credit)',
                    'Store Count', 'Chain Weekly Net GP']

    new_string

    econ_headers = ['Key', 'Cluster Code',

    … 451 more characters of arguments in the raw trajectory.

    Output

    The file /tmp/analysis/build_workbook.py has been updated successfully. (file state is current in your context — no need to Read it back)
    
    [metadata]
    filePath: /tmp/analysis/build_workbook.py
    oldString: |
      econ_headers = ['Key', 'Cluster Code', 'Cluster Name', 'SKU', 'Item', 'Vendor', 'Retail Price', 'Unit Cost',
                      'GP / Unit', 'Deliveries / Week', 'Avg Weekly Sales/Store', 'Avg Weekly Waste/Store',
                      'Waste Rate %', 'Has Internal Data?', 'Shrink Credit Rate', 'Weekly GP/Store (gross)',
                      'Weekly Waste $/Store (after credit)', 'Weekly Net GP/Store (after credit)',
                      'Store Count', 'Chain Weekly Net GP']
    newString: |
      econ_headers = ['Key', 'Cluster Code', 'Cluster Name', 'SKU', 'Item', 'Vendor', 'Retail Price', 'Unit Cost',
                      'GP / Unit', 'Deliveries / Week', 'Avg Weekly Sales/Store', 'Avg Weekly Waste/Store',
                      'Waste Rate %', 'Has Internal Data?', 'Shrink Credit Rate', 'Weekly GP/Store (

    … 936 more characters of output in the raw trajectory.

81. 117Edit206k1

    Tool execution only — no assistant text

    Edit/tmp/analysis/build_workbook.py (+replace_all, old_string, new_string)2k chars

    Arguments

    replace_all

    false

    file_path

    /tmp/analysis/build_workbook.py

    old_string

        # T chain weekly net GP
        c = ws.cell(row=r, column=20, value=f'=IF($N{r}="Yes",$R{r}*$S{r},"")')
        c.font = f_calc(); c.number_format = CUR0
    
    last_row = 4 + len(pairs)

    new_string

        # T chain weekly net GP (0, not "", so downstream SUMPRODUCT never multiplies text)
        c = ws.cell(row=r, column=20, value=f'=IF($N{r}="Yes",$R{r}*$S{r},0)')
        c.font = f_calc(); c.number_format = CUR0
        # U chain weekly waste $ (0, not "", for the same reason)
        c = ws.cell(row=r, column=21, valu

    … 116 more characters of arguments in the raw trajectory.

    Output

    The file /tmp/analysis/build_workbook.py has been updated successfully. (file state is current in your context — no need to Read it back)
    
    [metadata]
    filePath: /tmp/analysis/build_workbook.py
    oldString: |
          # T chain weekly net GP
          c = ws.cell(row=r, column=20, value=f'=IF($N{r}="Yes",$R{r}*$S{r},"")')
          c.font = f_calc(); c.number_format = CUR0
      
      last_row = 4 + len(pairs)
    newString: |
          # T chain weekly net GP (0, not "", so downstream SUMPRODUCT never multiplies text)
          c = ws.cell(row=r, column=20, value=f'=IF($N{r}="Yes",$R{r}*$S{r},0)')
          c.font = f_calc(); c.number_format = CUR0
          # U chain weekly waste $ (0, not "", for the same reason)
          c = ws.cell(row=r, column=21, value=f'=IF($N{r}="Yes",$Q{r}*$S{r},0)')
          c.font = f_calc(); c.number_format = CUR0
      
      last_row = 4 + len(pairs)
    originalFile: null
    structuredPatch:
      -
        oldStart: 420
        oldLines: 9
        newStart: 420
        newLines: 12
        lines:
          -      # S store count
          -      c =

    … 810 more characters of output in the raw trajectory.

82. 119Bash207k1

    Tool execution only — no assistant text

    Bashcd /tmp/analysis && grep -n "A2:T2\|autosize(ws, \[16, 11, 18, 10, 22, 17" build_workbook.py

    Arguments

    cd /tmp/analysis && grep -n "A2:T2\|autosize(ws, \[16, 11, 18, 10, 22, 17" build_workbook.py

    Output

    359:ws.merge_cells('A2:T2')
    433:autosize(ws, [16, 11, 18, 10, 22, 17, 11, 10, 10, 12, 15, 15, 11, 13, 12, 14, 16, 16, 11, 15])
    Shell cwd was reset to /workspace
    
    [stdout]
    359:ws.merge_cells('A2:T2')
    433:autosize(ws, [16, 11, 18, 10, 22, 17, 11, 10, 10, 12, 15, 15, 11, 13, 12, 14, 16, 16, 11, 15])
    [stderr]
    
    Shell cwd was reset to /workspace
    [metadata]
    noOutputExpected: false

83. 120Read207k1

    Tool execution only — no assistant text

    Read/tmp/analysis/build_workbook.py (+offset, limit)1k chars

    Arguments

    file_path

    /tmp/analysis/build_workbook.py

    offset

    350

    limit

    10

    Output

    350	ws = ws_econ
    351	ws.sheet_view.showGridLines = False
    352	ws['A1'] = 'Item Economics — Credit-Adjusted, by SKU x Cluster'
    353	ws['A1'].font = f_title(14)
    354	ws.merge_cells('A1:T1')
    355	ws['A2'] = ('Shrink credit rate follows signed vendor letters (Vendor Terms tab): GreenFork 30% where cluster delivers >= 4x/week; '
    356	            'Sakura 50% in Metro Core only (M-11 route); Urban Spoon and EatWell carry no shrink credit. '
    357	            'Rows with no internal pilot/current data are flagged "No pilot data" and excluded from $ totals.')
    358	ws['A2'].font = f_note()
    359	ws.merge_cells('A2:T2')
    
    [metadata]
    type: text
    file:
      filePath: /tmp/analysis/build_workbook.py
      content: |
        ws = ws_econ
        ws.sheet_view.showGridLines = False
        ws['A1'] = 'Item Economics — Credit-Adjusted, by SKU x Cluster'
        ws['A1'].font = f_title(14)
        ws.merge_cells('A1:T1')
        ws['A2'] = ('Shrink credit rate follows signed vendor letters (Vendor Terms tab): GreenFork 30% where cluster delivers >= 4x/we

    … 335 more characters of output in the raw trajectory.

84. 121Edit208k1

    Tool execution only — no assistant text

    Edit/tmp/analysis/build_workbook.py (+replace_all, old_string)2k chars

    Arguments

    replace_all

    false

    file_path

    /tmp/analysis/build_workbook.py

    old_string

    ws['A1'] = 'Item Economics — Credit-Adjusted, by SKU x Cluster'
    ws['A1'].font = f_title(14)
    ws.merge_cells('A1:T1')
    ws['A2'] = ('Shrink credit rate follows signed vendor letters (Vendor Terms tab): GreenFork 30% where cluster delivers >= 4x/week; '
                'Sakura 50% in Metro Core only (M-11 route); Urban Spoon and EatWell carry no shrink credit. '
                'Rows with no internal pilot/current data are flagged "No pilot data" and excluded from $ totals.')
    ws['A2'].font = f_note()
    ws.merge_cells('A

    … 549 more characters of arguments in the raw trajectory.

    Output

    The file /tmp/analysis/build_workbook.py has been updated successfully. (file state is current in your context — no need to Read it back)
    
    [metadata]
    filePath: /tmp/analysis/build_workbook.py
    oldString: |
      ws['A1'] = 'Item Economics — Credit-Adjusted, by SKU x Cluster'
      ws['A1'].font = f_title(14)
      ws.merge_cells('A1:T1')
      ws['A2'] = ('Shrink credit rate follows signed vendor letters (Vendor Terms tab): GreenFork 30% where cluster delivers >= 4x/week; '
                  'Sakura 50% in Metro Core only (M-11 route); Urban Spoon and EatWell carry no shrink credit. '
                  'Rows with no internal pilot/current data are flagged "No pilot data" and excluded from $ totals.')
      ws['A2'].font = f_note()
      ws.merge_cells('A2:T2')
    newString: |
      ws['A1'] = 'Item Economics — Credit-Adjusted, by SKU x Cluster'
      ws['A1'].font = f_title(14)
      ws.merge_cells('A1:U1')
      ws['A2'] = ('Shrink credit rate follows signed vendor letters (Vendor Terms tab): GreenFork 30% where cluster delivers >= 4x/we

    … 1,318 more characters of output in the raw trajectory.

85. 122Edit208k1

    Tool execution only — no assistant text

    Edit/tmp/analysis/build_workbook.py (+replace_all, old_string, new_string)1k chars

    Arguments

    replace_all

    false

    file_path

    /tmp/analysis/build_workbook.py

    old_string

    autosize(ws, [16, 11, 18, 10, 22, 17, 11, 10, 10, 12, 15, 15, 11, 13, 12, 14, 16, 16, 11, 15])
    ws.freeze_panes = 'F5'
    ws.column_dimensions['A'].hidden = True
    
    wb.save(OUT)
    print("Item economics sheet built:", len(pairs), "rows")

    new_string

    autosize(ws, [16, 11, 18, 10, 22, 17, 11, 10, 10, 12, 15, 15, 11, 13, 12, 14, 16, 16, 11, 15, 15])
    ws.freeze_panes = 'F5'
    ws.column_dimensions['A'].hidden = True
    
    wb.save(OUT)
    print("Item economics sheet built:", len(pairs), "rows")

    Output

    The file /tmp/analysis/build_workbook.py has been updated successfully. (file state is current in your context — no need to Read it back)
    
    [metadata]
    filePath: /tmp/analysis/build_workbook.py
    oldString: |
      autosize(ws, [16, 11, 18, 10, 22, 17, 11, 10, 10, 12, 15, 15, 11, 13, 12, 14, 16, 16, 11, 15])
      ws.freeze_panes = 'F5'
      ws.column_dimensions['A'].hidden = True
      
      wb.save(OUT)
      print("Item economics sheet built:", len(pairs), "rows")
    newString: |
      autosize(ws, [16, 11, 18, 10, 22, 17, 11, 10, 10, 12, 15, 15, 11, 13, 12, 14, 16, 16, 11, 15, 15])
      ws.freeze_panes = 'F5'
      ws.column_dimensions['A'].hidden = True
      
      wb.save(OUT)
      print("Item economics sheet built:", len(pairs), "rows")
    originalFile: null
    structuredPatch:
      -
        oldStart: 430
        oldLines: 7
        newStart: 430
        newLines: 7
        lines:
          -  last_row = 4 + len(pairs)
          -  apply_border(ws, 4, last_row, len(econ_headers))
          -  stripe(ws, 5, last_row, len(econ_headers))
          - -autosize(ws, [16, 11, 18, 10, 22, 17, 11,

    … 281 more characters of output in the raw trajectory.

86. 124Now let's fix the Summary sheet's economics formulas to use robust key-matching instead of fragile positional alignment.209k

    Now let's fix the Summary sheet's economics formulas to use robust key-matching instead of fragile positional alignment.

87. 125Read1

    Tool execution only — no assistant text

    Read/tmp/analysis/build_workbook.py (+offset, limit)5k chars

    Arguments

    file_path

    /tmp/analysis/build_workbook.py

    offset

    783

    limit

    45

    Output

    783	r += 1
    784	econ_h = ['Metric', 'Buyer Proposal (computable rows)', 'Revised Recommendation', '$ Delta', '% Delta']
    785	for j, h in enumerate(econ_h, start=1):
    786	    ws.cell(row=r, column=j, value=h)
    787	style_header_row(ws, r, len(econ_h))
    788	metrics_start = r + 1
    789	PL = "'Proposal Reconciliation Log'"
    790	# Weekly net GP: proposal = SUM of Item Economics chain GP for rows where proposed facings>0 in Raw-Buyer Proposal;
    791	#   we already have per-row chain GP available via Item Economics; use SUMPRODUCT with key match against Raw-Buyer Proposal facings>0
    792	r1 = metrics_start
    793	ws.cell(row=r1, column=1, value='Chain Weekly Net GP (after shrink credit)').font = f_calc()
    794	c = ws.cell(row=r1, column=2, value=f"=SUMPRODUCT(({BP}!$G$4:$G$53>0)*{EC}!$T$5:$T$54)")
    795	c.font = f_calc(); c.number_format = CUR0
    796	c = ws.cell(row=r1, column=3, value=f"=SUM({FA}!$L$5:$L$35)")
    797	c.font = f_calc(); c.number_format = CUR0
    798	c = ws.cell(row=r1, column=4, value=f'=C{r1}-B{r1}')
    7

    … 4,164 more characters of output in the raw trajectory.

88. 127Edit212k1

    Tool execution only — no assistant text

    Edit/tmp/analysis/build_workbook.py (+replace_all, old_string)5k chars

    Arguments

    replace_all

    false

    file_path

    /tmp/analysis/build_workbook.py

    old_string

    r1 = metrics_start
    ws.cell(row=r1, column=1, value='Chain Weekly Net GP (after shrink credit)').font = f_calc()
    c = ws.cell(row=r1, column=2, value=f"=SUMPRODUCT(({BP}!$G$4:$G$53>0)*{EC}!$T$5:$T$54)")
    c.font = f_calc(); c.number_format = CUR0
    c = ws.cell(row=r1, column=3, value=f"=SUM({FA}!$L$5:$L$35)")
    c.font = f_calc(); c.number_format = CUR0
    c = ws.cell(row=r1, column=4, value=f'=C{r1}-B{r1}')
    c.font = f_bold(); c.number_format = CUR0
    c = ws.cell(row=r1, column=5, value=f'=D{r1}/B{r1}')
    c.font = f_

    … 1,987 more characters of arguments in the raw trajectory.

    Output

    The file /tmp/analysis/build_workbook.py has been updated successfully. (file state is current in your context — no need to Read it back)
    
    [metadata]
    filePath: /tmp/analysis/build_workbook.py
    oldString: |
      r1 = metrics_start
      ws.cell(row=r1, column=1, value='Chain Weekly Net GP (after shrink credit)').font = f_calc()
      c = ws.cell(row=r1, column=2, value=f"=SUMPRODUCT(({BP}!$G$4:$G$53>0)*{EC}!$T$5:$T$54)")
      c.font = f_calc(); c.number_format = CUR0
      c = ws.cell(row=r1, column=3, value=f"=SUM({FA}!$L$5:$L$35)")
      c.font = f_calc(); c.number_format = CUR0
      c = ws.cell(row=r1, column=4, value=f'=C{r1}-B{r1}')
      c.font = f_bold(); c.number_format = CUR0
      c = ws.cell(row=r1, column=5, value=f'=D{r1}/B{r1}')
      c.font = f_bold(); c.number_format = PCT1
      
      r2 = metrics_start + 1
      ws.cell(row=r2, column=1, value='Chain Weekly Waste $ (after shrink credit)').font = f_calc()
      c = ws.cell(row=r2, column=2, value=f"=SUMPRODUCT(({BP}!$G$4:$G$53>0)*{EC}!$U$5:$U$54)")
      c.font = f_calc(); c.num

    … 4,021 more characters of output in the raw trajectory.

89. 128Now let's run the full build and recalc to check for errors, then verify the numbers.212k

    Now let's run the full build and recalc to check for errors, then verify the numbers.

90. 129Bash1

    Tool execution only — no assistant text

    Bashcd /tmp/analysis && python3 build_workbook.py && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py /workspace/output/reset_decision_workbook.xlsx 901k chars

    Arguments

    cd /tmp/analysis && python3 build_workbook.py && python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py /workspace/output/reset_decision_workbook.xlsx 90

    Output

    Sheets created: ['Summary', 'Final Assortment (Revised)', 'Capacity Reconciliation', 'Item Economics', 'Proposal Reconciliation Log', 'Vendor Terms', 'Demand Summary', 'Raw - Item Master', 'Raw - Cluster Capacity', 'Raw - Buyer Proposal', 'Raw - Weekly Data']
    Raw data sheets built. Rows written: 10 5 50 368
    Vendor terms sheet built.
    Demand summary sheet built: 50 rows
    Item economics sheet built: 50 rows
    Final assortment sheet built: 31 rows
    Capacity reconciliation sheet built.
    Reconciliation log sheet built: 50 rows
    Summary dashboard built.
    {
      "status": "success",
      "total_errors": 0,
      "error_summary": {},
      "total_formulas": 1977
    }
    Shell cwd was reset to /workspace
    
    [stdout]
    Sheets created: ['Summary', 'Final Assortment (Revised)', 'Capacity Reconciliation', 'Item Economics', 'Proposal Reconciliation Log', 'Vendor Terms', 'Demand Summary', 'Raw - Item Master', 'Raw - Cluster Capacity', 'Raw - Buyer Proposal', 'Raw - Weekly Data']
    Raw data sheets built. Rows written: 10 5 50 368
    Vend

    … 412 more characters of output in the raw trajectory.

91. 130No formula errors. Let's verify the Summary numbers match my earlier Python-computed figures ($122.55/week GP delta, -$9…213k

    No formula errors. Let's verify the Summary numbers match my earlier Python-computed figures ($122.55/week GP delta, -$91.49/week waste delta).

92. 131Bash1

    Tool execution only — no assistant text

    Bashcd /workspace/output && python3 -c " import pandas as pd df = pd.read_excel('reset_decision_workbook.xlsx', sheet_name='Summary', header=None) for i in range(3, 25): row = df.iloc[i].tolist() if any(pd.notna(v) for v in row): print(i+1, row) "3k chars

    Arguments

    cd /workspace/output && python3 -c "
    import pandas as pd
    df = pd.read_excel('reset_decision_workbook.xlsx', sheet_name='Summary', header=None)
    for i in range(3, 25):
        row = df.iloc[i].tolist()
        if any(pd.notna(v) for v in row):
            print(i+1, row)
    "
    

    Output

    4 ['1. Capacity — does the case physically fit?', nan, nan, nan, nan, nan]
    5 ['Cluster', 'Tray Slots Available', 'Proposal Fits?', 'Proposal Slack', 'Revised Fits?', 'Revised Slack']
    6 ['Metro Core', 12, 'Yes', 0, 'Yes', 0.5]
    7 ['Commuter Suburban', 10, 'No — over by 0.5 slots', -0.5, 'Yes', 1]
    8 ['Campus / Hospital', 10, 'No — over by 0.5 slots', -0.5, 'Yes', 0]
    9 ['Highway / Travel', 8, 'No — over by 0.5 slots', -0.5, 'Yes', 1.5]
    10 ['Rural North', 7, 'No — over by 0.5 slots', -0.5, 'Yes', 0.5]
    12 ['2. Chain-wide weekly economics — proposal (as submitted) vs. revised recommendation', nan, nan, nan, nan, nan]
    13 ['Metric', 'Buyer Proposal (computable rows)', 'Revised Recommendation', '$ Delta', '% Delta', nan]
    14 ['Chain Weekly Net GP (after shrink credit)', 6767.69179166667, 6890.24325, 122.551458333333, 0.0181083096136612, nan]
    15 ['Chain Weekly Waste $ (after shrink credit)', 431.238645833333, 339.750625, -91.4880208333333, -0.212151720902797, nan]
    16 ['Total SKUs Carried, Chainwid

    … 2,180 more characters of output in the raw trajectory.

93. 133Numbers all reconcile with my earlier analysis. Let me do a visual QA pass by rendering key sheets to check formatting.215k

    Numbers all reconcile with my earlier analysis. Let me do a visual QA pass by rendering key sheets to check formatting.

94. 134Bash1

    Tool execution only — no assistant text

    Bashpython3 /logs/agent/sessions/skills/docx/scripts/office/soffice.py --headless --convert-to pdf reset_decision_workbook.xlsx 2>&1 | tail -5 && ls -la *.pdf

    Arguments

    python3 /logs/agent/sessions/skills/docx/scripts/office/soffice.py --headless --convert-to pdf reset_decision_workbook.xlsx 2>&1 | tail -5 && ls -la *.pdf

    Output

    Warning: failed to launch javaldx - java may not function correctly
    convert /workspace/output/reset_decision_workbook.xlsx as a Calc document -> /workspace/output/reset_decision_workbook.pdf using filter : calc_pdf_Export
    -rw-r--r-- 1 root root 2248218 Aug 20 02:25 reset_decision_workbook.pdf
    
    [stdout]
    Warning: failed to launch javaldx - java may not function correctly
    convert /workspace/output/reset_decision_workbook.xlsx as a Calc document -> /workspace/output/reset_decision_workbook.pdf using filter : calc_pdf_Export
    -rw-r--r-- 1 root root 2248218 Aug 20 02:25 reset_decision_workbook.pdf
    [metadata]
    noOutputExpected: false

95. 136Bash216k1

    Tool execution only — no assistant text

    Bashpdfinfo reset_decision_workbook.pdf | grep Pages

    Arguments

    pdfinfo reset_decision_workbook.pdf | grep Pages

    Output

    Pages:           93
    
    [stdout]
    Pages:           93
    [metadata]
    noOutputExpected: false

96. 138Bash216k1

    Tool execution only — no assistant text

    Bashpdftoppm -jpeg -r 100 -f 1 -l 6 reset_decision_workbook.pdf qa_page

    Arguments

    pdftoppm -jpeg -r 100 -f 1 -l 6 reset_decision_workbook.pdf qa_page

    Output

    (Bash completed with no output)
    
    [metadata]
    noOutputExpected: false

97. 139Read216k1

    Tool execution only — no assistant text

    Read/workspace/output/qa_page-1.jpg

    Arguments

    /workspace/output/qa_page-1.jpg

    Output

    File does not exist. Note: your current working directory is /workspace/output.
    
    [error] tool reported failure

98. 140Bash216k1

    Tool execution only — no assistant text

    Bashls /workspace/output/qa_page*

    Arguments

    ls /workspace/output/qa_page*

    Output

    /workspace/output/qa_page-01.jpg
    /workspace/output/qa_page-02.jpg
    /workspace/output/qa_page-03.jpg
    /workspace/output/qa_page-04.jpg
    /workspace/output/qa_page-05.jpg
    /workspace/output/qa_page-06.jpg
    
    [stdout]
    /workspace/output/qa_page-01.jpg
    /workspace/output/qa_page-02.jpg
    /workspace/output/qa_page-03.jpg
    /workspace/output/qa_page-04.jpg
    /workspace/output/qa_page-05.jpg
    /workspace/output/qa_page-06.jpg
    [metadata]
    noOutputExpected: false

99. 141Read217k1

    Tool execution only — no assistant text

    Read/workspace/output/qa_page-01.jpg282k chars

    Arguments

    /workspace/output/qa_page-01.jpg

    Output

    type: image
    source:
      type: base64
      data: 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

    … 280,781 more characters of output in the raw trajectory.

100. 142Read1

     Tool execution only — no assistant text

     Read/workspace/output/qa_page-02.jpg232k chars

     Arguments

     /workspace/output/qa_page-02.jpg

     Output

     type: image
     source:
       type: base64
       data: 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

     … 231,092 more characters of output in the raw trajectory.

101. 144Read220k1

     Tool execution only — no assistant text

     Read/workspace/output/qa_page-03.jpg119k chars

     Arguments

     /workspace/output/qa_page-03.jpg

     Output

     type: image
     source:
       type: base64
       data: 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

     … 118,092 more characters of output in the raw trajectory.

102. 145Read1

     Tool execution only — no assistant text

     Read/workspace/output/qa_page-04.jpg309k chars

     Arguments

     /workspace/output/qa_page-04.jpg

     Output

     type: image
     source:
       type: base64
       data: 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

     … 307,861 more characters of output in the raw trajectory.

103. 147This all looks clean and professional. Let me clean up the temp QA files and do one final full-workbook validation.223k

     This all looks clean and professional. Let me clean up the temp QA files and do one final full-workbook validation.

104. 148Bash1

     Tool execution only — no assistant text

     Bashrm -f qa_page-*.jpg reset_decision_workbook.pdf python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py /workspace/output/reset_decision_workbook.xlsx 90 ls -la /workspace/output/

     Arguments

     rm -f qa_page-*.jpg reset_decision_workbook.pdf
     python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py /workspace/output/reset_decision_workbook.xlsx 90
     ls -la /workspace/output/

     Output

     {
       "status": "success",
       "total_errors": 0,
       "error_summary": {},
       "total_formulas": 1977
     }
     total 92
     drwxr-xr-x 2 root root  4096 Aug 20 02:26 .
     drwxr-xr-x 1 root root  4096 Aug 20 01:59 ..
     -rw-r--r-- 1 root root 82280 Aug 20 02:26 reset_decision_workbook.xlsx
     
     [stdout]
     {
       "status": "success",
       "total_errors": 0,
       "error_summary": {},
       "total_formulas": 1977
     }
     total 92
     drwxr-xr-x 2 root root  4096 Aug 20 02:26 .
     drwxr-xr-x 1 root root  4096 Aug 20 01:59 ..
     -rw-r--r-- 1 root root 82280 Aug 20 02:26 reset_decision_workbook.xlsx
     [metadata]
     noOutputExpected: false

105. 150Now let's build the memo. Let me draft it as a structured Word document using docx-js.227k

     Now let's build the memo. Let me draft it as a structured Word document using docx-js.

106. 151Bash1

     Tool execution only — no assistant text

     Bashnpm list -g docx 2>/dev/null || npm install -g docx 2>&1 | tail -5

     Arguments

     npm list -g docx 2>/dev/null || npm install -g docx 2>&1 | tail -5

     Output

     /bin/bash: line 1: npm: command not found
     
     [stdout]
     /bin/bash: line 1: npm: command not found
     [metadata]
     noOutputExpected: false

107. 152Bash227k1

     Tool execution only — no assistant text

     Bashwhich node npm nodejs 2>&1; node --version 2>&1; find / -iname "node" -type f -executable 2>/dev/null | grep -v proc | head -5

     Arguments

     which node npm nodejs 2>&1; node --version 2>&1; find / -iname "node" -type f -executable 2>/dev/null | grep -v proc | head -5

     Output

     /bin/bash: line 1: node: command not found
     
     [stdout]
     /bin/bash: line 1: node: command not found
     [metadata]
     noOutputExpected: false

108. 154Bash227k1

     Tool execution only — no assistant text

     Bashls -la /logs/agent/sessions/skills/docx/scripts/office/helpers/ 2>/dev/null find / -iname "*.docx" 2>/dev/null | grep -v "/workspace/data\|/workspace/output" | head -20 python3 -c "import docx" 2>&1 pip show python-docx 2>&1 | head -51k chars

     Arguments

     ls -la /logs/agent/sessions/skills/docx/scripts/office/helpers/ 2>/dev/null
     find / -iname "*.docx" 2>/dev/null | grep -v "/workspace/data\|/workspace/output" | head -20
     python3 -c "import docx" 2>&1
     pip show python-docx 2>&1 | head -5

     Output

     total 28
     drwxr-xr-x 3 root root 4096 Aug 20 01:59 .
     drwxr-xr-x 5 root root 4096 Aug 20 01:59 ..
     -rw-r--r-- 1 root root    0 Aug 20 01:59 __init__.py
     drwxr-xr-x 2 root root 4096 Aug 20 01:59 __pycache__
     -rw-r--r-- 1 root root 5567 Aug 20 01:59 merge_runs.py
     -rw-r--r-- 1 root root 5754 Aug 20 01:59 simplify_redlines.py
     /usr/local/lib/python3.11/site-packages/docx/templates/default.docx
     Name: python-docx
     Version: 1.2.0
     Summary: Create, read, and update Microsoft Word .docx files.
     Home-page: 
     Author:
     
     [stdout]
     total 28
     drwxr-xr-x 3 root root 4096 Aug 20 01:59 .
     drwxr-xr-x 5 root root 4096 Aug 20 01:59 ..
     -rw-r--r-- 1 root root    0 Aug 20 01:59 __init__.py
     drwxr-xr-x 2 root root 4096 Aug 20 01:59 __pycache__
     -rw-r--r-- 1 root root 5567 Aug 20 01:59 merge_runs.py
     -rw-r--r-- 1 root root 5754 Aug 20 01:59 simplify_redlines.py
     /usr/local/lib/python3.11/site-packages/docx/templates/default.docx
     Name: python-docx
     Version: 1.2.0
     Summary: Create, read, and update Microsoft Word .docx files.
     Home-p

     … 52 more characters of output in the raw trajectory.

109. 156Bash230k1

     Tool execution only — no assistant text

     Bashpython3 -c "import docx; print(docx.__version__ if hasattr(docx,'__version__') else 'ok')" python3 -c " from docx import Document from docx.shared import Pt, Inches, RGBColor from docx.enum.text import WD_ALIGN_PARAGRAPH from docx.enum.table import WD_ALIGN_VERTICAL from docx.oxml.ns import qn from docx.oxml import OxmlElement print('all imports ok') "

     Arguments

     python3 -c "import docx; print(docx.__version__ if hasattr(docx,'__version__') else 'ok')"
     python3 -c "
     from docx import Document
     from docx.shared import Pt, Inches, RGBColor
     from docx.enum.text import WD_ALIGN_PARAGRAPH
     from docx.enum.table import WD_ALIGN_VERTICAL
     from docx.oxml.ns import qn
     from docx.oxml import OxmlElement
     print('all imports ok')
     "

     Output

     1.2.0
     all imports ok
     
     [stdout]
     1.2.0
     all imports ok
     [metadata]
     noOutputExpected: false

110. 158Write233k1

     Tool execution only — no assistant text

     Write/tmp/analysis/build_memo.py (+content)4k chars

     Arguments

     file_path

     /tmp/analysis/build_memo.py

     content

     from docx import Document
     from docx.shared import Pt, Inches, RGBColor, Cm
     from docx.enum.text import WD_ALIGN_PARAGRAPH
     from docx.enum.table import WD_ALIGN_VERTICAL, WD_TABLE_ALIGNMENT
     from docx.enum.section import WD_SECTION
     from docx.oxml.ns import qn
     from docx.oxml import OxmlElement
     from docx.enum.style import WD_STYLE_TYPE
     
     NAVY = RGBColor(0x1F, 0x38, 0x64)
     DARKGRAY = RGBColor(0x40, 0x40, 0x40)
     RED = RGBColor(0xC0, 0x00, 0x00)
     GREEN = RGBColor(0x1E, 0x7A, 0x34)
     WHITE = RGBColor(0xFF, 0xFF, 0xFF)
     
     OUT = '/workspace/outp

     … 3,664 more characters of arguments in the raw trajectory.

     Output

     File created successfully at: /tmp/analysis/build_memo.py (file state is current in your context — no need to Read it back)
     
     [metadata]
     type: create
     filePath: /tmp/analysis/build_memo.py
     content: |
       from docx import Document
       from docx.shared import Pt, Inches, RGBColor, Cm
       from docx.enum.text import WD_ALIGN_PARAGRAPH
       from docx.enum.table import WD_ALIGN_VERTICAL, WD_TABLE_ALIGNMENT
       from docx.enum.section import WD_SECTION
       from docx.oxml.ns import qn
       from docx.oxml import OxmlElement
       from docx.enum.style import WD_STYLE_TYPE
       
       NAVY = RGBColor(0x1F, 0x38, 0x64)
       DARKGRAY = RGBColor(0x40, 0x40, 0x40)
       RED = RGBColor(0xC0, 0x00, 0x00)
       GREEN = RGBColor(0x1E, 0x7A, 0x34)
       WHITE = RGBColor(0xFF, 0xFF, 0xFF)
       
       OUT = '/workspace/output/grab_go_reset_memo.docx'
       
       doc = Document()
       
       # ---------- base style ----------
       normal = doc.styles['Normal']
       normal.font.name = 'Arial'
       normal.font.size = Pt(10.5)
       normal.font.color.rgb = RGBColor(0x1A, 0x1A, 0x1A)
       normal.paragraph_

     … 3,488 more characters of output in the raw trajectory.

111. 159Bash233k1

     Tool execution only — no assistant text

     Bashcd /tmp/analysis && python3 build_memo.py

     Arguments

     cd /tmp/analysis && python3 build_memo.py

     Output

     Base document set up.
     Shell cwd was reset to /workspace
     
     [stdout]
     Base document set up.
     [stderr]
     
     Shell cwd was reset to /workspace
     [metadata]
     noOutputExpected: false

112. 160Base scaffolding works. Now let's add the title block and executive summary.235k

     Base scaffolding works. Now let's add the title block and executive summary.

113. 161Edit1

     Tool execution only — no assistant text

     Edit/tmp/analysis/build_memo.py (+replace_all, old_string, new_string)11k chars

     Arguments

     replace_all

     false

     file_path

     /tmp/analysis/build_memo.py

     old_string

     print("Base document set up.")
     doc.save(OUT)

     new_string

     # =====================================================================
     # TITLE BLOCK
     # =====================================================================
     p = para('MEMORANDUM', size=20, bold=True, color=NAVY, space_after=2)
     p = para('Prepared Foods Grab-and-Go Reset — Revised Recommendation, First Four Weeks', size=12.5, italic=True, color=DARKGRAY, space_after=10)
     
     def header_line(label, value):
         p = doc.add_paragraph()
         p.paragraph_form

     … 2,662 more characters of arguments in the raw trajectory.

     Output

     The file /tmp/analysis/build_memo.py has been updated successfully. (file state is current in your context — no need to Read it back)
     
     [metadata]
     filePath: /tmp/analysis/build_memo.py
     oldString: |
       print("Base document set up.")
       doc.save(OUT)
     newString: |
       # =====================================================================
       # TITLE BLOCK
       # =====================================================================
       p = para('MEMORANDUM', size=20, bold=True, color=NAVY, space_after=2)
       p = para('Prepared Foods Grab-and-Go Reset — Revised Recommendation, First Four Weeks', size=12.5, italic=True, color=DARKGRAY, space_after=10)
       
       def header_line(label, value):
           p = doc.add_paragraph()
           p.paragraph_format.space_after = Pt(2)
           r1 = p.add_run(f'{label}:\t')
           r1.font.bold = True; r1.font.size = Pt(10.5); r1.font.name = 'Arial'; r1.font.color.rgb = NAVY
           r2 = p.add_run(value)
           r2.font.size = Pt(10.5); r2.font.name = 'Arial'
           from docx.enum.text import W

     … 10,099 more characters of output in the raw trajectory.

114. 162Bash235k1

     Tool execution only — no assistant text

     Bashcd /tmp/analysis && python3 build_memo.py

     Arguments

     cd /tmp/analysis && python3 build_memo.py

     Output

     Title + bottom line done.
     Shell cwd was reset to /workspace
     
     [stdout]
     Title + bottom line done.
     [stderr]
     
     Shell cwd was reset to /workspace
     [metadata]
     noOutputExpected: false

115. 164Now let's add the highest-risk-parts section.237k

     Now let's add the highest-risk-parts section.

116. 165Edit1

     Tool execution only — no assistant text

     Edit/tmp/analysis/build_memo.py (+replace_all, old_string, new_string)15k chars

     Arguments

     replace_all

     false

     file_path

     /tmp/analysis/build_memo.py

     old_string

     print("Title + bottom line done.")
     doc.save(OUT)

     new_string

     # =====================================================================
     # HIGHEST-RISK PARTS OF THE PROPOSAL
     # =====================================================================
     doc.add_heading('Highest-Risk Parts of the Proposal', level=1)
     para('In order of how much damage each would do if it reached stores unchanged:', space_after=6)
     
     risk_items = [
      ('1. The case does not fit.',
       'Every cluster except Metro Core is over its tray-slot lim

     … 3,076 more characters of arguments in the raw trajectory.

     Output

     The file /tmp/analysis/build_memo.py has been updated successfully. (file state is current in your context — no need to Read it back)
     
     [metadata]
     filePath: /tmp/analysis/build_memo.py
     oldString: |
       print("Title + bottom line done.")
       doc.save(OUT)
     newString: |
       # =====================================================================
       # HIGHEST-RISK PARTS OF THE PROPOSAL
       # =====================================================================
       doc.add_heading('Highest-Risk Parts of the Proposal', level=1)
       para('In order of how much damage each would do if it reached stores unchanged:', space_after=6)
       
       risk_items = [
        ('1. The case does not fit.',
         'Every cluster except Metro Core is over its tray-slot limit once oversized trays (bowls, salads, sushi at 1.5 slots per facing) are counted correctly. Space Planning would have hit this at reset and had to cut something on the floor, store by store, with no guidance on what to cut first.'),
        ('2. Sushi was proposed beyond its

     … 14,337 more characters of output in the raw trajectory.

117. 166Bash237k1

     Tool execution only — no assistant text

     Bashcd /tmp/analysis && python3 build_memo.py

     Arguments

     cd /tmp/analysis && python3 build_memo.py

     Output

     Risk section done.
     Shell cwd was reset to /workspace
     
     [stdout]
     Risk section done.
     [stderr]
     
     Shell cwd was reset to /workspace
     [metadata]
     noOutputExpected: false

118. 167Now let's add the revised cluster-level assortment table and capacity reconciliation table.239k

     Now let's add the revised cluster-level assortment table and capacity reconciliation table.

119. 168Edit1

     Tool execution only — no assistant text

     Edit/tmp/analysis/build_memo.py (+replace_all, old_string, new_string)9k chars

     Arguments

     replace_all

     false

     file_path

     /tmp/analysis/build_memo.py

     old_string

     print("Risk section done.")
     doc.save(OUT)

     new_string

     # =====================================================================
     # REVISED CLUSTER-LEVEL ASSORTMENT
     # =====================================================================
     doc.add_heading('Revised Cluster-Level Assortment', level=1)
     para('Facings by item and cluster for the first four weeks. Full item-level economics and cell-by-cell notes are in reset_decision_workbook.xlsx (tab: Final Assortment (Revised)).', space_after=6, italic=True, size=9.5,

     … 3,473 more characters of arguments in the raw trajectory.

     Output

     The file /tmp/analysis/build_memo.py has been updated successfully. (file state is current in your context — no need to Read it back)
     
     [metadata]
     filePath: /tmp/analysis/build_memo.py
     oldString: |
       print("Risk section done.")
       doc.save(OUT)
     newString: |
       # =====================================================================
       # REVISED CLUSTER-LEVEL ASSORTMENT
       # =====================================================================
       doc.add_heading('Revised Cluster-Level Assortment', level=1)
       para('Facings by item and cluster for the first four weeks. Full item-level economics and cell-by-cell notes are in reset_decision_workbook.xlsx (tab: Final Assortment (Revised)).', space_after=6, italic=True, size=9.5, color=DARKGRAY)
       
       clusters_hdr = ['Item', 'Metro\nCore', 'Commuter\nSuburban', 'Campus /\nHospital', 'Highway /\nTravel', 'Rural\nNorth']
       grid_rows = [
        ('Chicken Caesar Wrap', '2', '1', '2', '1', '1'),
        ('Turkey Club Sandwich', '1', '2', '1', '2', '2'),
        ('Sou

     … 7,644 more characters of output in the raw trajectory.

120. 169Bash239k1

     Tool execution only — no assistant text

     Bashcd /tmp/analysis && python3 build_memo.py

     Arguments

     cd /tmp/analysis && python3 build_memo.py

     Output

     Assortment + capacity tables done.
     Shell cwd was reset to /workspace
     
     [stdout]
     Assortment + capacity tables done.
     [stderr]
     
     Shell cwd was reset to /workspace
     [metadata]
     noOutputExpected: false

121. 170Now let's add the "What changed and why" narrative section and the economics summary table.241k

     Now let's add the "What changed and why" narrative section and the economics summary table.

122. 171Edit1

     Tool execution only — no assistant text

     Edit/tmp/analysis/build_memo.py (+replace_all, old_string, new_string)9k chars

     Arguments

     replace_all

     false

     file_path

     /tmp/analysis/build_memo.py

     old_string

     print("Assortment + capacity tables done.")
     doc.save(OUT)

     new_string

     # =====================================================================
     # WHAT CHANGED AND WHY
     # =====================================================================
     doc.add_heading('What Changed, and Why', level=1)
     
     para('', space_after=2)
     p = doc.add_paragraph(); r = p.add_run('Vegetarian anchor protected in every cluster.'); r.bold = True; r.font.name='Arial'; r.font.size=Pt(10.5); r.font.color.rgb=NAVY
     para('Hummus Veggie Wrap is r

     … 3,851 more characters of arguments in the raw trajectory.

     Output

     The file /tmp/analysis/build_memo.py has been updated successfully. (file state is current in your context — no need to Read it back)
     
     [metadata]
     filePath: /tmp/analysis/build_memo.py
     oldString: |
       print("Assortment + capacity tables done.")
       doc.save(OUT)
     newString: |
       # =====================================================================
       # WHAT CHANGED AND WHY
       # =====================================================================
       doc.add_heading('What Changed, and Why', level=1)
       
       para('', space_after=2)
       p = doc.add_paragraph(); r = p.add_run('Vegetarian anchor protected in every cluster.'); r.bold = True; r.font.name='Arial'; r.font.size=Pt(10.5); r.font.color.rgb=NAVY
       para('Hummus Veggie Wrap is reinstated in all five clusters rather than removed. In Metro Core and Campus/Hospital it runs alongside Caprese, which fits both places on delivery cadence (5 deliveries/week) and cluster mission — Campus/Hospital in particular is noted as a cluster where meatless options

     … 8,394 more characters of output in the raw trajectory.

123. 172Bash241k1

     Tool execution only — no assistant text

     Bashcd /tmp/analysis && python3 build_memo.py

     Arguments

     cd /tmp/analysis && python3 build_memo.py

     Output

     Narrative section done.
     Shell cwd was reset to /workspace
     
     [stdout]
     Narrative section done.
     [stderr]
     
     Shell cwd was reset to /workspace
     [metadata]
     noOutputExpected: false

124. 173Now let's add the economics summary table and the execution risks section.242k

     Now let's add the economics summary table and the execution risks section.

125. 174Edit1

     Tool execution only — no assistant text

     Edit/tmp/analysis/build_memo.py (+replace_all, old_string, new_string)5k chars

     Arguments

     replace_all

     false

     file_path

     /tmp/analysis/build_memo.py

     old_string

     print("Narrative section done.")
     doc.save(OUT)

     new_string

     # =====================================================================
     # ECONOMICS SUMMARY
     # =====================================================================
     doc.add_heading('Supporting Economics', level=1)
     para('Figures use internal sales/waste/inventory records only (8 weeks, April 6–May 25, 2026), credit-adjusted per the signed vendor letters. Supplier projections are excluded per the handoff. Full SKU-by-cluster detail is in reset_decision_

     … 1,646 more characters of arguments in the raw trajectory.

     Output

     The file /tmp/analysis/build_memo.py has been updated successfully. (file state is current in your context — no need to Read it back)
     
     [metadata]
     filePath: /tmp/analysis/build_memo.py
     oldString: |
       print("Narrative section done.")
       doc.save(OUT)
     newString: |
       # =====================================================================
       # ECONOMICS SUMMARY
       # =====================================================================
       doc.add_heading('Supporting Economics', level=1)
       para('Figures use internal sales/waste/inventory records only (8 weeks, April 6–May 25, 2026), credit-adjusted per the signed vendor letters. Supplier projections are excluded per the handoff. Full SKU-by-cluster detail is in reset_decision_workbook.xlsx (tab: Item Economics).', space_after=6, italic=True, size=9.5, color=DARKGRAY)
       
       econ_hdr = ['Metric', 'Buyer Proposal', 'Revised\nRecommendation', '$ Delta', '% Delta']
       econ_rows = [
        ('Chain weekly net GP (after shrink credit)', '$6,768', '$6,890', '+$

     … 4,196 more characters of output in the raw trajectory.

126. 175Bash243k1

     Tool execution only — no assistant text

     Bashcd /tmp/analysis && python3 build_memo.py

     Arguments

     cd /tmp/analysis && python3 build_memo.py

     Output

     Economics table done.
     Shell cwd was reset to /workspace
     
     [stdout]
     Economics table done.
     [stderr]
     
     Shell cwd was reset to /workspace
     [metadata]
     noOutputExpected: false

127. 176Now the execution risks section and closing.244k

     Now the execution risks section and closing.

128. 177Edit1

     Tool execution only — no assistant text

     Edit/tmp/analysis/build_memo.py (+replace_all, old_string, new_string)8k chars

     Arguments

     replace_all

     false

     file_path

     /tmp/analysis/build_memo.py

     old_string

     print("Economics table done.")
     doc.save(OUT)

     new_string

     # =====================================================================
     # EXECUTION RISKS / WATCH ITEMS
     # =====================================================================
     doc.add_heading('Execution Risks and Watch Items for Space Planning / Field Ops', level=1)
     
     bullet('the signed Sakura Express credit and daily route apply to Metro Core stores on route M-11, not to the Metro Core cluster as a whole. Our data is aggregated at the cluster level. B

     … 2,946 more characters of arguments in the raw trajectory.

     Output

     The file /tmp/analysis/build_memo.py has been updated successfully. (file state is current in your context — no need to Read it back)
     
     [metadata]
     filePath: /tmp/analysis/build_memo.py
     oldString: |
       print("Economics table done.")
       doc.save(OUT)
     newString: |
       # =====================================================================
       # EXECUTION RISKS / WATCH ITEMS
       # =====================================================================
       doc.add_heading('Execution Risks and Watch Items for Space Planning / Field Ops', level=1)
       
       bullet('the signed Sakura Express credit and daily route apply to Metro Core stores on route M-11, not to the Metro Core cluster as a whole. Our data is aggregated at the cluster level. Before ranging sushi, confirm which of the 18 Metro Core stores actually sit on route M-11, and range only those — do not extend to all Metro Core stores by default.',
              bold_lead='Confirm the M-11 store list before ranging sushi. ')
       bullet('Sushi carries a one-day

     … 6,721 more characters of output in the raw trajectory.

129. 178Bash244k1

     Tool execution only — no assistant text

     Bashcd /tmp/analysis && python3 build_memo.py

     Arguments

     cd /tmp/analysis && python3 build_memo.py

     Output

     Execution risks + closing done.
     Shell cwd was reset to /workspace
     
     [stdout]
     Execution risks + closing done.
     [stderr]
     
     Shell cwd was reset to /workspace
     [metadata]
     noOutputExpected: false

130. 179Now let's validate the docx with the skill's validator, then do a visual QA pass.244k

     Now let's validate the docx with the skill's validator, then do a visual QA pass.

131. 180Bash1

     Tool execution only — no assistant text

     Bashpython3 /logs/agent/sessions/skills/docx/scripts/office/validate.py /workspace/output/grab_go_reset_memo.docx

     Arguments

     python3 /logs/agent/sessions/skills/docx/scripts/office/validate.py /workspace/output/grab_go_reset_memo.docx

     Output

     Exit code 1
     
     FAILED - Found NEW validation errors:
       word/document.xml: 2 new error(s)
         - Element '{http://schemas.openxmlformats.org/wordprocessingml/2006/main}tcBorders': This element is not expected. Expected is one of ( {http://schemas.openxmlformats.org/wordprocessingml/2006/main}hideMark, {http://schemas.openxmlformats.org/wordproce...
         - Element '{http://schemas.openxmlformats.org/wordprocessingml/2006/main}pBdr': This element is not expected. Expected is one of ( {http://schemas.openxmlformats.org/wordprocessingml/2006/main}ind, {http://schemas.openxmlformats.org/wordprocessingml/20...
       word/settings.xml: 1 new error(s)
         - Element '{http://schemas.openxmlformats.org/wordprocessingml/2006/main}zoom': The attribute '{http://schemas.openxmlformats.org/wordprocessingml/2006/main}percent' is required but missing.
     
     Paragraphs: 0 → 204 (+204)
     
     [error] tool reported failure

132. 182Edit248k1

     Tool execution only — no assistant text

     Edit/tmp/analysis/build_memo.py (+replace_all, old_string)3k chars

     Arguments

     replace_all

     false

     file_path

     /tmp/analysis/build_memo.py

     old_string

     def style_cell(cell, text, bold=False, color=None, size=9.5, align=None, shading=None, italic=False):
         cell.vertical_alignment = WD_ALIGN_VERTICAL.CENTER
         cell.text = ''
         p = cell.paragraphs[0]
         if align:
             p.alignment = align
         p.paragraph_format.space_after = Pt(2)
         p.paragraph_format.space_before = Pt(2)
         run = p.add_run(text)
         run.font.size = Pt(size)
         run.font.bold = bold
         run.font.italic = italic
         run.font.name = 'Arial'
         if color:
             run.font.color.rgb

     … 832 more characters of arguments in the raw trajectory.

     Output

     The file /tmp/analysis/build_memo.py has been updated successfully. (file state is current in your context — no need to Read it back)
     
     [metadata]
     filePath: /tmp/analysis/build_memo.py
     oldString: |
       def style_cell(cell, text, bold=False, color=None, size=9.5, align=None, shading=None, italic=False):
           cell.vertical_alignment = WD_ALIGN_VERTICAL.CENTER
           cell.text = ''
           p = cell.paragraphs[0]
           if align:
               p.alignment = align
           p.paragraph_format.space_after = Pt(2)
           p.paragraph_format.space_before = Pt(2)
           run = p.add_run(text)
           run.font.size = Pt(size)
           run.font.bold = bold
           run.font.italic = italic
           run.font.name = 'Arial'
           if color:
               run.font.color.rgb = color
           set_cell_borders(cell)
           if shading:
               set_cell_shading(cell, shading)
     newString: |
       def style_cell(cell, text, bold=False, color=None, size=9.5, align=None, shading=None, italic=False):
           cell.text = ''
           # tcPr children must follow schema

     … 1,639 more characters of output in the raw trajectory.

133. 183Edit248k1

     Tool execution only — no assistant text

     Edit/tmp/analysis/build_memo.py (+replace_all, old_string, new_string)2k chars

     Arguments

     replace_all

     false

     file_path

     /tmp/analysis/build_memo.py

     old_string

     def add_rule(paragraph, color='1F3864', sz='12'):
         p = paragraph._p
         pPr = p.get_or_add_pPr()
         pBdr = OxmlElement('w:pBdr')
         bottom = OxmlElement('w:bottom')
         bottom.set(qn('w:val'), 'single')
         bottom.set(qn('w:sz'), sz)
         bottom.set(qn('w:space'), '4')
         bottom.set(qn('w:color'), color)
         pBdr.append(bottom)
         pPr.append(pBdr)

     new_string

     def add_rule(paragraph, color='1F3864', sz='12'):
         p = paragraph._p
         pPr = p.get_or_add_pPr()
         pBdr = OxmlElement('w:pBdr')
         b

     … 411 more characters of arguments in the raw trajectory.

     Output

     The file /tmp/analysis/build_memo.py has been updated successfully. (file state is current in your context — no need to Read it back)
     
     [metadata]
     filePath: /tmp/analysis/build_memo.py
     oldString: |
       def add_rule(paragraph, color='1F3864', sz='12'):
           p = paragraph._p
           pPr = p.get_or_add_pPr()
           pBdr = OxmlElement('w:pBdr')
           bottom = OxmlElement('w:bottom')
           bottom.set(qn('w:val'), 'single')
           bottom.set(qn('w:sz'), sz)
           bottom.set(qn('w:space'), '4')
           bottom.set(qn('w:color'), color)
           pBdr.append(bottom)
           pPr.append(pBdr)
     newString: |
       def add_rule(paragraph, color='1F3864', sz='12'):
           p = paragraph._p
           pPr = p.get_or_add_pPr()
           pBdr = OxmlElement('w:pBdr')
           bottom = OxmlElement('w:bottom')
           bottom.set(qn('w:val'), 'single')
           bottom.set(qn('w:sz'), sz)
           bottom.set(qn('w:space'), '4')
           bottom.set(qn('w:color'), color)
           pBdr.append(bottom)
           # pBdr must precede spacing/ind/jc etc. in pPr — insert right aft

     … 787 more characters of output in the raw trajectory.

134. 184Now let's check the zoom issue in settings.xml.249k

     Now let's check the zoom issue in settings.xml.

135. 185Bash1

     Tool execution only — no assistant text

     Bashcd /tmp/analysis && python3 build_memo.py && cd /tmp && rm -rf memo_unpacked && python3 /logs/agent/sessions/skills/docx/scripts/office/unpack.py /workspace/output/grab_go_reset_memo.docx memo_unpacked/ 2>&1 | tail -3 grep -n "zoom" memo_unpacked/word/settings.xml

     Arguments

     cd /tmp/analysis && python3 build_memo.py && cd /tmp && rm -rf memo_unpacked && python3 /logs/agent/sessions/skills/docx/scripts/office/unpack.py /workspace/output/grab_go_reset_memo.docx memo_unpacked/ 2>&1 | tail -3
     grep -n "zoom" memo_unpacked/word/settings.xml

     Output

     Execution risks + closing done.
     Unpacked /workspace/output/grab_go_reset_memo.docx (16 XML files), simplified 0 tracked changes, merged 0 runs
     3:  <w:zoom w:val="bestFit"/>
     Shell cwd was reset to /workspace
     
     [stdout]
     Execution risks + closing done.
     Unpacked /workspace/output/grab_go_reset_memo.docx (16 XML files), simplified 0 tracked changes, merged 0 runs
     3:  <w:zoom w:val="bestFit"/>
     [stderr]
     
     Shell cwd was reset to /workspace
     [metadata]
     noOutputExpected: false

136. 187Read249k1

     Tool execution only — no assistant text

     Read/tmp/memo_unpacked/word/settings.xml (+offset, limit)2k chars

     Arguments

     file_path

     /tmp/memo_unpacked/word/settings.xml

     offset

     1

     limit

     5

     Output

     1	<?xml version="1.0" encoding="utf-8"?>
     2	<w:settings xmlns:mc="http://schemas.openxmlformats.org/markup-compatibility/2006" 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:w10="urn:schemas-microsoft-com:office:word" xmlns:w="http://schemas.openxmlformats.org/wordprocessingml/2006/main" xmlns:w14="http://schemas.microsoft.com/office/word/2010/wordml" xmlns:sl="http://schemas.openxmlformats.org/schemaLibrary/2006/main" mc:Ignorable="w14">
     3	  <w:zoom w:val="bestFit"/>
     4	  <w:proofState w:spelling="clean" w:grammar="clean"/>
     5	  <w:defaultTabStop w:val="720"/>
     
     [metadata]
     type: text
     file:
       filePath: /tmp/memo_unpacked/word/settings.xml
       content: |
         <?xml version="1.0" encoding="utf-8"?>
         <w:settings xmlns:mc="http://schemas.openxmlformats.org/markup-compatibility/2006" xmlns:o=

     … 701 more characters of output in the raw trajectory.

137. 189Edit250k1

     Tool execution only — no assistant text

     Edit/tmp/memo_unpacked/word/settings.xml (+replace_all, old_string, new_string)4k chars

     Arguments

     replace_all

     false

     file_path

     /tmp/memo_unpacked/word/settings.xml

     old_string

     <w:zoom w:val="bestFit"/>

     new_string

     <w:zoom w:val="bestFit" w:percent="100"/>

     Output

     The file /tmp/memo_unpacked/word/settings.xml has been updated successfully. (file state is current in your context — no need to Read it back)
     
     [metadata]
     filePath: /tmp/memo_unpacked/word/settings.xml
     oldString:   <w:zoom w:val="bestFit"/>
     newString:   <w:zoom w:val="bestFit" w:percent="100"/>
     originalFile: |
       <?xml version="1.0" encoding="utf-8"?>
       <w:settings xmlns:mc="http://schemas.openxmlformats.org/markup-compatibility/2006" 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:w10="urn:schemas-microsoft-com:office:word" xmlns:w="http://schemas.openxmlformats.org/wordprocessingml/2006/main" xmlns:w14="http://schemas.microsoft.com/office/word/2010/wordml" xmlns:sl="http://schemas.openxmlformats.org/schemaLibrary/2006/main" mc:Ignorable="w14">
         <w:

     … 3,318 more characters of output in the raw trajectory.

138. 190Bash250k1

     Tool execution only — no assistant text

     Bashcd /tmp && python3 /logs/agent/sessions/skills/docx/scripts/office/pack.py memo_unpacked/ /workspace/output/grab_go_reset_memo.docx --original /workspace/output/grab_go_reset_memo.docx python3 /logs/agent/sessions/skills/docx/scripts/office/validate.py /workspace/output/grab_go_reset_memo.docx

     Arguments

     cd /tmp && python3 /logs/agent/sessions/skills/docx/scripts/office/pack.py memo_unpacked/ /workspace/output/grab_go_reset_memo.docx --original /workspace/output/grab_go_reset_memo.docx
     python3 /logs/agent/sessions/skills/docx/scripts/office/validate.py /workspace/output/grab_go_reset_memo.docx

     Output

     Paragraphs: 204 → 204 (0)
     All validations PASSED!
     Successfully packed memo_unpacked to /workspace/output/grab_go_reset_memo.docx
     
     Paragraphs: 0 → 204 (+204)
     All validations PASSED!
     Shell cwd was reset to /workspace
     
     [stdout]
     Paragraphs: 204 → 204 (0)
     All validations PASSED!
     Successfully packed memo_unpacked to /workspace/output/grab_go_reset_memo.docx
     
     Paragraphs: 0 → 204 (+204)
     All validations PASSED!
     [stderr]
     
     Shell cwd was reset to /workspace
     [metadata]
     noOutputExpected: false

139. 192Now let's do a visual QA pass on the memo.251k

     Now let's do a visual QA pass on the memo.

140. 193Bash1

     Tool execution only — no assistant text

     Bashcd /workspace/output && python3 /logs/agent/sessions/skills/docx/scripts/office/soffice.py --headless --convert-to pdf grab_go_reset_memo.docx 2>&1 | tail -3 pdfinfo grab_go_reset_memo.pdf | grep Pages pdftoppm -jpeg -r 110 grab_go_reset_memo.pdf memoqa

     Arguments

     cd /workspace/output && python3 /logs/agent/sessions/skills/docx/scripts/office/soffice.py --headless --convert-to pdf grab_go_reset_memo.docx 2>&1 | tail -3
     pdfinfo grab_go_reset_memo.pdf | grep Pages
     pdftoppm -jpeg -r 110 grab_go_reset_memo.pdf memoqa

     Output

     Warning: failed to launch javaldx - java may not function correctly
     convert /workspace/output/grab_go_reset_memo.docx as a Writer document -> /workspace/output/grab_go_reset_memo.pdf using filter : writer_pdf_Export
     Pages:           6
     
     [stdout]
     Warning: failed to launch javaldx - java may not function correctly
     convert /workspace/output/grab_go_reset_memo.docx as a Writer document -> /workspace/output/grab_go_reset_memo.pdf using filter : writer_pdf_Export
     Pages:           6
     [metadata]
     noOutputExpected: false

141. 1946 pages — reasonable length for this content. Let's look at all of them.251k

     6 pages — reasonable length for this content. Let's look at all of them.

142. 195Read1

     Tool execution only — no assistant text

     Read/workspace/output/memoqa-1.jpg464k chars

     Arguments

     /workspace/output/memoqa-1.jpg

     Output

     type: image
     source:
       type: base64
       data: 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

     … 462,861 more characters of output in the raw trajectory.

143. 196Read1

     Tool execution only — no assistant text

     Read/workspace/output/memoqa-2.jpg523k chars

     Arguments

     /workspace/output/memoqa-2.jpg

     Output

     type: image
     source:
       type: base64
       data: 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

     … 522,165 more characters of output in the raw trajectory.

144. 197This looks excellent — clean, professional, well-organized. Let me check the remaining pages.254k

     This looks excellent — clean, professional, well-organized. Let me check the remaining pages.

145. 198Read1

     Tool execution only — no assistant text

     Read/workspace/output/memoqa-3.jpg376k chars

     Arguments

     /workspace/output/memoqa-3.jpg

     Output

     type: image
     source:
       type: base64
       data: 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

     … 374,765 more characters of output in the raw trajectory.

146. 199Read1

     Tool execution only — no assistant text

     Read/workspace/output/memoqa-4.jpg524k chars

     Arguments

     /workspace/output/memoqa-4.jpg

     Output

     type: image
     source:
       type: base64
       data: 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

     … 522,749 more characters of output in the raw trajectory.

147. 201I found a table-width overflow issue in the economics table. Let me fix the column widths and shorten that header.259k

     I found a table-width overflow issue in the economics table. Let me fix the column widths and shorten that header.

148. 202Edit1

     Tool execution only — no assistant text

     Edit/tmp/analysis/build_memo.py (+replace_all, old_string)3k chars

     Arguments

     replace_all

     false

     file_path

     /tmp/analysis/build_memo.py

     old_string

     econ_hdr = ['Metric', 'Buyer Proposal', 'Revised\nRecommendation', '$ Delta', '% Delta']
     econ_rows = [
      ('Chain weekly net GP (after shrink credit)', '$6,768', '$6,890', '+$123', '+1.8%'),
      ('Chain weekly waste $ (after shrink credit)', '$431', '$340', '($91)', '(21.2%)'),
      ('4-week reset window — net GP impact', '—', '—', '≈ +$490', ''),
      ('4-week reset window — waste $ impact', '—', '—', '≈ ($366)', ''),
      ('SKUs carried, chainwide (facing count)', '32', '31', '−1', ''),
     ]
     t3 = doc.add_table(rows=1, cols=5)

     … 719 more characters of arguments in the raw trajectory.

     Output

     The file /tmp/analysis/build_memo.py has been updated successfully. (file state is current in your context — no need to Read it back)
     
     [metadata]
     filePath: /tmp/analysis/build_memo.py
     oldString: |
       econ_hdr = ['Metric', 'Buyer Proposal', 'Revised\nRecommendation', '$ Delta', '% Delta']
       econ_rows = [
        ('Chain weekly net GP (after shrink credit)', '$6,768', '$6,890', '+$123', '+1.8%'),
        ('Chain weekly waste $ (after shrink credit)', '$431', '$340', '($91)', '(21.2%)'),
        ('4-week reset window — net GP impact', '—', '—', '≈ +$490', ''),
        ('4-week reset window — waste $ impact', '—', '—', '≈ ($366)', ''),
        ('SKUs carried, chainwide (facing count)', '32', '31', '−1', ''),
       ]
       t3 = doc.add_table(rows=1, cols=5)
       t3.alignment = WD_TABLE_ALIGNMENT.CENTER
       set_col_widths(t3, [2.55, 1.15, 1.35, 0.95, 0.95])
     newString: |
       econ_hdr = ['Metric', 'Buyer\nProposal', 'Revised\nPlan', '$ Delta', '% Delta']
       econ_rows = [
        ('Chain weekly net GP (after shrink credit)', '$6,768', '$6,890'

     … 1,864 more characters of output in the raw trajectory.

149. 204Bash259k1

     Tool execution only — no assistant text

     Bashcd /tmp/analysis && python3 build_memo.py cd /tmp && rm -rf memo_unpacked && python3 /logs/agent/sessions/skills/docx/scripts/office/unpack.py /workspace/output/grab_go_reset_memo.docx memo_unpacked/ 2>&1 | tail -2

     Arguments

     cd /tmp/analysis && python3 build_memo.py
     cd /tmp && rm -rf memo_unpacked && python3 /logs/agent/sessions/skills/docx/scripts/office/unpack.py /workspace/output/grab_go_reset_memo.docx memo_unpacked/ 2>&1 | tail -2

     Output

     Execution risks + closing done.
     Unpacked /workspace/output/grab_go_reset_memo.docx (16 XML files), simplified 0 tracked changes, merged 0 runs
     Shell cwd was reset to /workspace
     
     [stdout]
     Execution risks + closing done.
     Unpacked /workspace/output/grab_go_reset_memo.docx (16 XML files), simplified 0 tracked changes, merged 0 runs
     [stderr]
     
     Shell cwd was reset to /workspace
     [metadata]
     noOutputExpected: false

150. 206That reset is expected — rebuilding from python-docx regenerates the default template's zoom line. Let me reapply the fi…261k

     That reset is expected — rebuilding from python-docx regenerates the default template's zoom line. Let me reapply the fix and repack.

151. 207Edit1

     Tool execution only — no assistant text

     Edit/tmp/memo_unpacked/word/settings.xml (+replace_all, old_string, new_string)4k chars

     Arguments

     replace_all

     false

     file_path

     /tmp/memo_unpacked/word/settings.xml

     old_string

     <w:zoom w:val="bestFit"/>

     new_string

     <w:zoom w:val="bestFit" w:percent="100"/>

     Output

     The file /tmp/memo_unpacked/word/settings.xml has been updated successfully. (file state is current in your context — no need to Read it back)
     
     [metadata]
     filePath: /tmp/memo_unpacked/word/settings.xml
     oldString:   <w:zoom w:val="bestFit"/>
     newString:   <w:zoom w:val="bestFit" w:percent="100"/>
     originalFile: |
       <?xml version="1.0" encoding="utf-8"?>
       <w:settings xmlns:mc="http://schemas.openxmlformats.org/markup-compatibility/2006" 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:w10="urn:schemas-microsoft-com:office:word" xmlns:w="http://schemas.openxmlformats.org/wordprocessingml/2006/main" xmlns:w14="http://schemas.microsoft.com/office/word/2010/wordml" xmlns:sl="http://schemas.openxmlformats.org/schemaLibrary/2006/main" mc:Ignorable="w14">
         <w:

     … 3,318 more characters of output in the raw trajectory.

152. 208Bash261k1

     Tool execution only — no assistant text

     Bashcd /tmp && python3 /logs/agent/sessions/skills/docx/scripts/office/pack.py memo_unpacked/ /workspace/output/grab_go_reset_memo.docx --original /workspace/output/grab_go_reset_memo.docx python3 /logs/agent/sessions/skills/docx/scripts/office/validate.py /workspace/output/grab_go_reset_memo.docx

     Arguments

     cd /tmp && python3 /logs/agent/sessions/skills/docx/scripts/office/pack.py memo_unpacked/ /workspace/output/grab_go_reset_memo.docx --original /workspace/output/grab_go_reset_memo.docx
     python3 /logs/agent/sessions/skills/docx/scripts/office/validate.py /workspace/output/grab_go_reset_memo.docx

     Output

     Paragraphs: 204 → 204 (0)
     All validations PASSED!
     Successfully packed memo_unpacked to /workspace/output/grab_go_reset_memo.docx
     
     Paragraphs: 0 → 204 (+204)
     All validations PASSED!
     Shell cwd was reset to /workspace
     
     [stdout]
     Paragraphs: 204 → 204 (0)
     All validations PASSED!
     Successfully packed memo_unpacked to /workspace/output/grab_go_reset_memo.docx
     
     Paragraphs: 0 → 204 (+204)
     All validations PASSED!
     [stderr]
     
     Shell cwd was reset to /workspace
     [metadata]
     noOutputExpected: false

153. 209Let's re-render and check the fixed table plus remaining pages.261k

     Let's re-render and check the fixed table plus remaining pages.

154. 210Bash1

     Tool execution only — no assistant text

     Bashcd /workspace/output && rm -f grab_go_reset_memo.pdf memoqa*.jpg python3 /logs/agent/sessions/skills/docx/scripts/office/soffice.py --headless --convert-to pdf grab_go_reset_memo.docx 2>&1 | tail -2 pdftoppm -jpeg -r 110 grab_go_reset_memo.pdf memoqa ls memoqa*.jpg

     Arguments

     cd /workspace/output && rm -f grab_go_reset_memo.pdf memoqa*.jpg
     python3 /logs/agent/sessions/skills/docx/scripts/office/soffice.py --headless --convert-to pdf grab_go_reset_memo.docx 2>&1 | tail -2
     pdftoppm -jpeg -r 110 grab_go_reset_memo.pdf memoqa
     ls memoqa*.jpg

     Output

     Warning: failed to launch javaldx - java may not function correctly
     convert /workspace/output/grab_go_reset_memo.docx as a Writer document -> /workspace/output/grab_go_reset_memo.pdf using filter : writer_pdf_Export
     memoqa-1.jpg
     memoqa-2.jpg
     memoqa-3.jpg
     memoqa-4.jpg
     memoqa-5.jpg
     memoqa-6.jpg
     
     [stdout]
     Warning: failed to launch javaldx - java may not function correctly
     convert /workspace/output/grab_go_reset_memo.docx as a Writer document -> /workspace/output/grab_go_reset_memo.pdf using filter : writer_pdf_Export
     memoqa-1.jpg
     memoqa-2.jpg
     memoqa-3.jpg
     memoqa-4.jpg
     memoqa-5.jpg
     memoqa-6.jpg
     [metadata]
     noOutputExpected: false

155. 211Read262k1

     Tool execution only — no assistant text

     Read/workspace/output/memoqa-4.jpg521k chars

     Arguments

     /workspace/output/memoqa-4.jpg

     Output

     type: image
     source:
       type: base64
       data: 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

     … 520,453 more characters of output in the raw trajectory.

156. 212Read1

     Tool execution only — no assistant text

     Read/workspace/output/memoqa-5.jpg559k chars

     Arguments

     /workspace/output/memoqa-5.jpg

     Output

     type: image
     source:
       type: base64
       data: 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

     … 558,373 more characters of output in the raw trajectory.

157. 214Read265k1

     Tool execution only — no assistant text

     Read/workspace/output/memoqa-6.jpg92k chars

     Arguments

     /workspace/output/memoqa-6.jpg

     Output

     type: image
     source:
       type: base64
       data: 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

     … 91,012 more characters of output in the raw trajectory.

158. 216The memo looks polished and complete. Let me clean up the temporary QA files from the output directory.267k

     The memo looks polished and complete. Let me clean up the temporary QA files from the output directory.

159. 217Bash1

     Tool execution only — no assistant text

     Bashrm -f /workspace/output/grab_go_reset_memo.pdf /workspace/output/memoqa-*.jpg ls -la /workspace/output/

     Arguments

     rm -f /workspace/output/grab_go_reset_memo.pdf /workspace/output/memoqa-*.jpg
     ls -la /workspace/output/

     Output

     total 136
     drwxr-xr-x 2 root root  4096 Aug 20 02:33 .
     drwxr-xr-x 1 root root  4096 Aug 20 01:59 ..
     -rw-r--r-- 1 root root 42627 Aug 20 02:32 grab_go_reset_memo.docx
     -rw-r--r-- 1 root root 82280 Aug 20 02:26 reset_decision_workbook.xlsx
     
     [stdout]
     total 136
     drwxr-xr-x 2 root root  4096 Aug 20 02:33 .
     drwxr-xr-x 1 root root  4096 Aug 20 01:59 ..
     -rw-r--r-- 1 root root 42627 Aug 20 02:32 grab_go_reset_memo.docx
     -rw-r--r-- 1 root root 82280 Aug 20 02:26 reset_decision_workbook.xlsx
     [metadata]
     noOutputExpected: false

160. 219Bash267k1

     Tool execution only — no assistant text

     Bashpython3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py /workspace/output/reset_decision_workbook.xlsx 90 python3 /logs/agent/sessions/skills/docx/scripts/office/validate.py /workspace/output/grab_go_reset_memo.docx

     Arguments

     python3 /logs/agent/sessions/skills/xlsx/scripts/recalc.py /workspace/output/reset_decision_workbook.xlsx 90
     python3 /logs/agent/sessions/skills/docx/scripts/office/validate.py /workspace/output/grab_go_reset_memo.docx

     Output

     {
       "status": "success",
       "total_errors": 0,
       "error_summary": {},
       "total_formulas": 1977
     }
     
     Paragraphs: 0 → 204 (+204)
     All validations PASSED!
     
     [stdout]
     {
       "status": "success",
       "total_errors": 0,
       "error_summary": {},
       "total_formulas": 1977
     }
     
     Paragraphs: 0 → 204 (+204)
     All validations PASSED!
     [metadata]
     noOutputExpected: false

161. 220Both deliverables are complete and validated. Let me clean up the temp analysis files from /tmp since they're no longer…267k

     Both deliverables are complete and validated. Let me clean up the temp analysis files from /tmp since they're no longer needed.

162. 221Bash1

     Tool execution only — no assistant text

     Bashrm -rf /tmp/memo_unpacked /tmp/unpacked_handoff /tmp/*.txt /tmp/*.md echo "cleaned"

     Arguments

     rm -rf /tmp/memo_unpacked /tmp/unpacked_handoff /tmp/*.txt /tmp/*.md
     echo "cleaned"

     Output

     cleaned
     
     [stdout]
     cleaned
     [metadata]
     noOutputExpected: false

163. 222Summary Both deliverables are in /workspace/output/: grab_go_reset_memo.docx — merchant-facing memo leading with the six…268k

     Summary

     Both deliverables are in /workspace/output/:

     grab_go_reset_memo.docx — merchant-facing memo leading with the six highest-risk parts of the proposal (capacity infeasibility, sushi beyond its signed route, the Rural North vegetarian gap, Caprese proposed where GreenFork hasn't signed a route, two high-shrink legacy SKUs kept against the data, and reliance on inflated supplier projections), then the revised cluster-by-cluster facing grid, capacity reconciliation, rationale for each major change, supporting economics, and execution risks for Space Planning/field ops.

     reset_decision_workbook.xlsx — 11-tab formula-driven workbook (Summary, Final Assortment, Capacity Reconciliation, Item Economics, Proposal Reconciliation Log, Vendor Terms, Demand Summary, plus raw source-data tabs), zero formula errors, fully auditable back to the source CSVs/PDF.

     Key findings that drove the recommendation:

     • The proposal as submitted doesn't fit the case — it needs 49.0 tray slots chainwide against 47.0 available, over capacity in 4 of 5 clusters. The revised plan fits everywhere (43.5/47.0) with sensible buffers.
     • Signed vendor terms overrode several proposal placements: sushi confined to Metro Core only (Sakura Express letter excludes Commuter/Campus pilots by name), Caprese blocked from Highway/Travel and Rural North by contract.
     • Reinstating Hummus Veggie Wrap in all five clusters (rejecting its proposed removal) fixed a vegetarian-coverage gap and, combined with removing Egg Salad Croissant and Turkey Cranberry Sandwich (both 20%+ waste, no vendor billback support), produced a plan that nets +$123/week more gross profit (+1.8%) and $91/week less waste (-21.2%) than the original proposal — while fitting capacity and cutting two chronic shrink sources.
     • Supplier projections were excluded per the handoff; checked against actual pilot data, sushi's supplier estimates ran 62-291% above real sales.

     One item flagged for Space Planning: t

     … 184 more characters in the raw trajectory.