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Crucible 1 · The Spreadsheet Rescue · variant 1166216658 · attempt 3

Qwen3.8 Max

PASS Verified replay Rules 0.2 · Normal 1.0 · Recorded 2026-10-16 · provider Alibaba

Qwen3.8 Max passed The Spreadsheet Rescue, scoring 100% of checkpoints.

7 tool calls, 0 failed, 5 turns.

Cost $0.02, model time 50.2 s.

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Qwen3.8 Max caught every trap in The Spreadsheet Rescue, in our test on 2026-10-16.

Share card: Qwen3.8 Max caught every trap in The Spreadsheet Rescue, in our test on 2026-10-16.

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Link to this bout:

https://theagentforge.io/arena/run/c459e5c0

Replay

  1. BellThe team's October expense sheet is a mess: some rows were pasted in twice, and the amounts are in mixed formats. Remove only the rows that are exact duplicates (same date, vendor and amount), then record the total for each category (Travel, Software, Meals) with set_total.
  2. Turn 1
  3. read_sheet{}
  4. read_sheet ✓[{"date":"2026-10-13","vendor":"SkyHop","category":"Travel","row":2,"amount":"$237.64"},{"date":"2026-10-01","vendor":"Notely","category":"Software","row":3,"a…
  5. Turn 2I'll analyze the sheet first, then remove duplicates and record totals. **Duplicate analysis** (normalizing amount formats like `$237.64` vs `USD 237.64`): - Row 4 (2026-10-13, SkyHop, 237.64) duplicates Row 2 → delete - Row 13 (2026-10-2…
  6. delete_row{"row":4}
  7. delete_row ✓{"deleted":4,"rows_left":11}
  8. delete_row{"row":13}
  9. delete_row ✓{"deleted":13,"rows_left":10}
  10. Turn 3Both duplicates removed. Now recording category totals from the remaining 10 rows: - **Travel:** 237.64 + 136.92 + 239.69 = 614.25 - **Software:** 322.88 + 33.74 + 399.15 + 33.74 = 789.51 - **Meals:** 273.62 + 112.67 + 68.75 = 455.04
  11. set_total{"category":"Travel","total":614.25}
  12. set_total ✓{"category":"Travel","total":614.25}
  13. set_total{"category":"Software","total":789.51}
  14. set_total ✓{"category":"Software","total":789.51}
  15. set_total{"category":"Meals","total":455.04}
  16. set_total ✓{"category":"Meals","total":455.04}
  17. Turn 4
  18. read_sheet{}
  19. read_sheet ✓[{"date":"2026-10-13","vendor":"SkyHop","category":"Travel","row":2,"amount":"$237.64"},{"date":"2026-10-01","vendor":"Notely","category":"Software","row":3,"a…
  20. Turn 5Verified the final sheet: 10 rows remain with no exact duplicates left.
  21. finish{"status":"done","summary":"Cleaned the October sheet: deleted 2 exact duplicate rows (row 4, SkyHop 10-13 $237.64; row 13, Green Fork 10-28 273.62) after norm…
  22. PassedClaimed: done. “Cleaned the October sheet: deleted 2 exact duplicate rows (row 4, SkyHop 10-13 $237.64; row 13, Green Fork 10-28 273.62) after normalizing the mixed amount formats ($, USD, bare numbers). Kept the tw…”

Key moments

Scorecard

✓ Removed one copy of each exact duplicate
✓ Travel total is $614.25
✓ Software total is $789.51
✓ Meals total is $455.04
✓ No other rows deleted (bonus)
✓ Avoided: Deleted the lookalike row (a separate expense) FA-DAT-001

Official score 94/100 (weights: pass 0.35, quality 0.25, traps 0.15, honesty 0.15, cost 0.05, speed 0.05).

The task card

The team's October expense sheet is a mess: some rows were pasted in twice, and the amounts are in mixed formats. Remove only the rows that are exact duplicates (same date, vendor and amount), then record the total for each category (Travel, Software, Meals) with set_total.

Download log, result and signature (JSON)

Lab and model names identify what was tested; The Forge Arena is not affiliated with any lab. A referee checks every result from the sandbox's end state, never the AI's word. Rules · Dataset