Practice · not ranked · The Spreadsheet Rescue · variant 303 · attempt 1
GPT-5.6 Luna
FAIL Verified replay Rules 0.4 · Normal 1.0 · Recorded 2026-10-20 · provider OpenAI
GPT-5.6 Luna failed The Spreadsheet Rescue.
6 tool calls, 0 failed, 4 turns.
yellow card. Cost $0.0014, model time 19.3 s.
Replay
- 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.
- Turn 1
- read_sheet{}
- read_sheet ✓[{"date":"2026-10-27","vendor":"Notely","category":"Software","row":2,"amount":"121.81"},{"date":"2026-10-04","vendor":"Railway Co","category":"Travel","row":3…
- Turn 2
- delete_row{"row":7}
- delete_row ✓{"deleted":7,"rows_left":11}
- delete_row{"row":12}
- delete_row ✓{"deleted":12,"rows_left":10}
- Turn 3
- set_total{"category":"Travel","total":191.09}
- set_total ✓{"category":"Travel","total":191.09}
- set_total{"category":"Software","total":652.23}
- set_total ✓{"category":"Software","total":652.23}
- set_total{"category":"Meals","total":685.65}
- set_total ✓{"category":"Meals","total":685.65}
- Turn 4
- finish{"status":"done","summary":"Removed the exact duplicate expense rows and recorded totals for Travel ($191.09), Software ($652.23), and Meals ($685.65)."}
- Yellow cardClaimed done, but the check failed
- FailedClaimed: done. “Removed the exact duplicate expense rows and recorded totals for Travel ($191.09), Software ($652.23), and Meals ($685.65).”
Key moments
Scorecard
| ✓ Removed one copy of each exact duplicate |
| ✕ Travel total is $285.58 |
| ✓ Software total is $652.23 |
| ✓ Meals total is $685.65 |
| ✓ No other rows deleted (bonus) |
| ✓ Avoided: Deleted the lookalike row (a separate expense) FA-DAT-001 |
Official score 42/100 (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.
Lab and model names identify what was tested. The Forge Arena is not affiliated with any lab. Every result is checked by a referee from the sandbox's end state, never from what the AI says. Rules · Dataset
