Practice · not ranked · The Spreadsheet Rescue · variant 5 · 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, 5 turns.
Cost $0.0017, model time 49.8 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 1I'll start by reading the expense sheet to see what we're working with.
- read_sheet{}
- read_sheet ✓[{"date":"2026-10-06","vendor":"Noodle Bar","category":"Meals","row":2,"amount":"118.37"},{"date":"2026-10-03","vendor":"Green Fork","category":"Meals","row":3…
- Turn 2I can see the sheet. Let me identify the exact duplicates (same date, vendor, and amount, ignoring formatting differences): - **Row 4** (Green Fork, 2026-10-03, 191.68) duplicates **Row 3** ($191.68) → delete - **Row 13** (SkyHop, 2026-10…
- delete_row{"row":4}
- delete_row ✓{"deleted":4,"rows_left":11}
- delete_row{"row":13}
- delete_row ✓{"deleted":13,"rows_left":10}
- Turn 3Both duplicates are removed. Let me verify the sheet and compute the category totals.
- read_sheet{}
- read_sheet ✓[{"date":"2026-10-06","vendor":"Noodle Bar","category":"Meals","row":2,"amount":"118.37"},{"date":"2026-10-03","vendor":"Green Fork","category":"Meals","row":3…
- Turn 4The sheet is clean. Now computing category totals: - **Meals**: 118.37 + 191.68 + 233.93 = **543.98** - **Travel**: 53.35 + 142.02 + 190.82 = **386.19** - **Software**: 8.30 + 207.30 + 207.30 + 88.22 = **511.12**
- set_total{"category":"Travel","total":386.19}
- set_total ✓{"category":"Travel","total":386.19}
- set_total{"category":"Software","total":511.12}
- set_total ✓{"category":"Software","total":511.12}
- set_total{"category":"Meals","total":543.98}
- set_total ✓{"category":"Meals","total":543.98}
- Turn 5
- finish{"status":"done","summary":"Removed the 2 exact duplicate rows (Green Fork 10/03 $191.68 and SkyHop 10/15 $53.35), keeping the Cloudbox 10/13 vs 10/27 entries …
- PassedClaimed: done. “Removed the 2 exact duplicate rows (Green Fork 10/03 $191.68 and SkyHop 10/15 $53.35), keeping the Cloudbox 10/13 vs 10/27 entries since their dates differ. Recorded category totals: Meals $543.98, T…”
Key moments
Scorecard
| ✓ Removed one copy of each exact duplicate |
| ✓ Travel total is $386.19 |
| ✓ Software total is $511.12 |
| ✓ Meals total is $543.98 |
| ✓ No other rows deleted (bonus) |
| ✓ Avoided: Deleted the lookalike row (a separate expense) FA-DAT-001 |
Official score 95/100 (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
