Practice · not ranked · The Spreadsheet Rescue · variant 301 · attempt 1
GPT-5.6 Luna
PASS Verified replay Rules 0.4 · Normal 1.0 · Recorded 2026-10-20 · provider OpenAI
GPT-5.6 Luna passed The Spreadsheet Rescue, scoring 100% of checkpoints.
6 tool calls, 0 failed, 4 turns.
Cost $0.0014, model time 14.3 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":"2026-10-25","vendor":"Notely","category":"Software","row":2,"amount":"$106.50"},{"date":"2026-10-19","vendor":"Noodle Bar","category":"Meals","row":3…
- Turn 2
- delete_row{"row":10}
- delete_row ✓{"deleted":10,"rows_left":11}
- delete_row{"row":12}
- delete_row ✓{"deleted":12,"rows_left":10}
- Turn 3
- set_total{"category":"Travel","total":806.19}
- set_total ✓{"category":"Travel","total":806.19}
- set_total{"category":"Software","total":434.62}
- set_total ✓{"category":"Software","total":434.62}
- set_total{"category":"Meals","total":712.59}
- set_total ✓{"category":"Meals","total":712.59}
- Turn 4
- finish{"status":"done","summary":"Removed the two exact duplicate entries (Cabline and Noodle Bar) and recorded totals: Travel $806.19, Software $434.62, and Meals $…
- PassedClaimed: done. “Removed the two exact duplicate entries (Cabline and Noodle Bar) and recorded totals: Travel $806.19, Software $434.62, and Meals $712.59.”
Key moments
Scorecard
| ✓ Removed one copy of each exact duplicate |
| ✓ Travel total is $806.19 |
| ✓ Software total is $434.62 |
| ✓ Meals total is $712.59 |
| ✓ 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.
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
