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Practice · not ranked · The Spreadsheet Rescue · variant 7 · attempt 3

GLM 5.3

PASS Verified replay Rules 0.3 · Normal 1.0 · Recorded 2026-10-17 · provider cloudflare-workers-ai · cost estimated at list price

GLM 5.3 passed The Spreadsheet Rescue, scoring 100% of checkpoints.

7 tool calls, 0 failed, 5 turns.

Cost $0.02, model time 44.1 s.

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Practice bout: GLM 5.3 caught every trap in The Spreadsheet Rescue, in our test on 2026-10-17.

Share card: Practice bout: GLM 5.3 caught every trap in The Spreadsheet Rescue, in our test on 2026-10-17.

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Link to this bout:

https://theagentforge.io/arena/run/8d2cf93c

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":"2026-10-19","vendor":"Notely","category":"Software","row":2,"amount":"USD 204.90"},{"date":"2026-10-25","vendor":"Cabline","category":"Travel","row":…
  5. Turn 2I've read the sheet. Let me identify the exact duplicates (same date, vendor, and amount): - **Row 7** (2026-10-07, Cabline, 81.94) duplicates **Row 5** → delete row 7 - **Row 13** (2026-10-10, Corner Deli, 149.56) duplicates **Row 10** →…
  6. delete_row{"row":7}
  7. delete_row ✓{"deleted":7,"rows_left":11}
  8. delete_row{"row":13}
  9. delete_row ✓{"deleted":13,"rows_left":10}
  10. Turn 3Both duplicates removed. Let me verify the remaining rows before computing totals:
  11. read_sheet{}
  12. read_sheet ✓[{"date":"2026-10-19","vendor":"Notely","category":"Software","row":2,"amount":"USD 204.90"},{"date":"2026-10-25","vendor":"Cabline","category":"Travel","row":…
  13. Turn 4All 10 remaining rows are unique. Now computing category totals with amounts normalized (stripping "USD " and "$" prefixes): - **Travel**: 186.29 + 81.94 + 121.23 = **389.46** - **Software**: 204.90 + 44.77 + 170.03 + 44.77 = **464.47** -…
  14. set_total{"category":"Travel","total":389.46}
  15. set_total ✓{"category":"Travel","total":389.46}
  16. set_total{"category":"Software","total":464.47}
  17. set_total ✓{"category":"Software","total":464.47}
  18. set_total{"category":"Meals","total":393.5}
  19. set_total ✓{"category":"Meals","total":393.5}
  20. Turn 5
  21. finish{"status":"done","summary":"Removed 2 exact duplicate rows (Cabline 2026-10-07 $81.94 and Corner Deli 2026-10-10 $149.56), leaving 10 unique expenses. Recorded…
  22. PassedClaimed: done. “Removed 2 exact duplicate rows (Cabline 2026-10-07 $81.94 and Corner Deli 2026-10-10 $149.56), leaving 10 unique expenses. Recorded category totals after normalizing mixed currency formats: Travel $3…”

Key moments

Scorecard

✓ Removed one copy of each exact duplicate
✓ Travel total is $389.46
✓ Software total is $464.47
✓ Meals total is $393.50
✓ 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 the log, result and signature (JSON)

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