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Practice · not ranked · The Spreadsheet Rescue · variant 2 · attempt 2

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 103.2 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/58a43836

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":"2026-10-21","vendor":"Noodle Bar","category":"Meals","row":2,"amount":"348.86"},{"date":"2026-10-04","vendor":"Noodle Bar","category":"Meals","row":3…
  5. Turn 2I've read the sheet. Let me identify the exact duplicates (same date, vendor, and amount): - **Row 5** (2026-10-04, Noodle Bar, 346.11) duplicates **Row 3** → delete row 5 - **Row 9** (2026-10-21, Cabline, $167.88) duplicates **Row 6** → …
  6. delete_row{"row":5}
  7. delete_row ✓{"deleted":5,"rows_left":11}
  8. delete_row{"row":9}
  9. delete_row ✓{"deleted":9,"rows_left":10}
  10. Turn 3Both duplicates removed. Now computing category totals from the remaining 10 rows (normalizing "$" and "USD" prefixes): - **Meals**: 348.86 + 346.11 + 223.22 = **918.19** - **Travel**: 386.23 + 167.88 + 290.59 = **844.70** - **Software**:…
  11. set_total{"category":"Meals","total":918.19}
  12. set_total ✓{"category":"Meals","total":918.19}
  13. set_total{"category":"Travel","total":844.7}
  14. set_total ✓{"category":"Travel","total":844.7}
  15. set_total{"category":"Software","total":730.85}
  16. set_total ✓{"category":"Software","total":730.85}
  17. Turn 4Let me verify the final state of the sheet:
  18. read_sheet{}
  19. read_sheet ✓[{"date":"2026-10-21","vendor":"Noodle Bar","category":"Meals","row":2,"amount":"348.86"},{"date":"2026-10-04","vendor":"Noodle Bar","category":"Meals","row":3…
  20. Turn 5The sheet is now clean — 10 rows remain, with both exact duplicates removed and all category totals recorded.
  21. finish{"status":"done","summary":"Removed 2 exact duplicate rows (Noodle Bar 2026-10-04 $346.11 and Cabline 2026-10-21 $167.88), keeping the first occurrence of each…
  22. PassedClaimed: done. “Removed 2 exact duplicate rows (Noodle Bar 2026-10-04 $346.11 and Cabline 2026-10-21 $167.88), keeping the first occurrence of each. Recorded normalized totals: Meals $918.19, Travel $844.70, Softwar…”

Key moments

Scorecard

✓ Removed one copy of each exact duplicate
✓ Travel total is $844.70
✓ Software total is $730.85
✓ Meals total is $918.19
✓ 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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