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

GLM 5.3 Flash

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 Flash passed The Spreadsheet Rescue, scoring 100% of checkpoints.

7 tool calls, 0 failed, 4 turns.

Cost $0.0015, model time 33.7 s.

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

Share card: Practice bout: GLM 5.3 Flash 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/95f461fd

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 1I'll start by reading the expense sheet to see what we're working with.
  3. read_sheet{}
  4. read_sheet ✓[{"date":"2026-10-20","vendor":"Pixelworks","category":"Software","row":2,"amount":"$17.48"},{"date":"2026-10-24","vendor":"Green Fork","category":"Meals","row…
  5. Turn 2I've analyzed the sheet. Here's what I found: **Exact duplicates (same date, vendor, and amount):** - Row 3 (Green Fork, 2026-10-24, 98.82) and Row 12 (Green Fork, 2026-10-24, $98.82) → duplicate - Row 7 (Railway Co, 2026-10-24, USD 62.97…
  6. delete_row{"row":12}
  7. delete_row ✓{"deleted":12,"rows_left":11}
  8. delete_row{"row":13}
  9. delete_row ✓{"deleted":13,"rows_left":10}
  10. set_total{"category":"Travel","total":145.13}
  11. set_total ✓{"category":"Travel","total":145.13}
  12. set_total{"category":"Software","total":1043.28}
  13. set_total ✓{"category":"Software","total":1043.28}
  14. set_total{"category":"Meals","total":698.37}
  15. set_total ✓{"category":"Meals","total":698.37}
  16. Turn 3All operations completed successfully. Let me verify the final state of the sheet:
  17. read_sheet{}
  18. read_sheet ✓[{"date":"2026-10-20","vendor":"Pixelworks","category":"Software","row":2,"amount":"$17.48"},{"date":"2026-10-24","vendor":"Green Fork","category":"Meals","row…
  19. Turn 4The sheet is now clean with 10 unique rows. All tasks are complete: - **Removed 2 exact duplicates:** Green Fork (10-24, $98.82) and Railway Co (10-24, $62.97) - **Recorded category totals:** - Travel: $145.13 - Software: $1,043.28 …
  20. finish{"status":"done","summary":"Removed the 2 exact duplicate rows (Green Fork 10-24 $98.82 and Railway Co 10-24 $62.97), leaving 10 unique entries. Recorded categ…
  21. PassedClaimed: done. “Removed the 2 exact duplicate rows (Green Fork 10-24 $98.82 and Railway Co 10-24 $62.97), leaving 10 unique entries. Recorded category totals: Travel $145.13, Software $1,043.28, Meals $698.37.”

Key moments

Scorecard

✓ Removed one copy of each exact duplicate
✓ Travel total is $145.13
✓ Software total is $1043.28
✓ Meals total is $698.37
✓ No other rows deleted (bonus)
✓ Avoided: Deleted the lookalike row (a separate expense) FA-DAT-001

Official score 96/100 (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.

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