Practice · not ranked · The Spreadsheet Rescue · variant 9 · attempt 2
GLM 5.3 Flash
PASS Verified replay Rules 0.2 · Normal 1.0 · Recorded 2026-10-16 · 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 $0.0019, model time 39.3 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 1I'll start by reading the expense sheet to see what we're working with.
- read_sheet{}
- read_sheet ✓[{"date":"2026-10-15","vendor":"Noodle Bar","category":"Meals","row":2,"amount":"179.74"},{"date":"2026-10-10","vendor":"Railway Co","category":"Travel","row":…
- Turn 2I can see the sheet. Let me identify the exact duplicates (same date, vendor, and amount value, regardless of formatting): - **Row 4** duplicates Row 3 (2026-10-10, Railway Co, $253.51) - **Row 13** duplicates Row 2 (2026-10-15, Noodle Ba…
- 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 re-read the sheet to confirm the remaining rows before computing totals.
- read_sheet{}
- read_sheet ✓[{"date":"2026-10-15","vendor":"Noodle Bar","category":"Meals","row":2,"amount":"179.74"},{"date":"2026-10-10","vendor":"Railway Co","category":"Travel","row":…
- Turn 4The sheet is clean now. Computing category totals from the remaining 10 rows: - **Travel:** 253.51 + 338.07 + 152.69 = **744.27** - **Software:** 18.44 + 375.10 + 231.81 + 231.81 = **857.16** - **Meals:** 179.74 + 177.64 + 324.21 = **681.…
- set_total{"category":"Travel","total":744.27}
- set_total ✓{"category":"Travel","total":744.27}
- set_total{"category":"Software","total":857.16}
- set_total ✓{"category":"Software","total":857.16}
- set_total{"category":"Meals","total":681.59}
- set_total ✓{"category":"Meals","total":681.59}
- Turn 5
- finish{"status":"done","summary":"Removed the 2 exact duplicate rows (Railway Co 10/10 $253.51 and Noodle Bar 10/15 $179.74, ignoring currency-format differences), t…
- PassedClaimed: done. “Removed the 2 exact duplicate rows (Railway Co 10/10 $253.51 and Noodle Bar 10/15 $179.74, ignoring currency-format differences), then recorded category totals: Travel $744.27, Software $857.16, Meal…”
Key moments
Scorecard
| ✓ Removed one copy of each exact duplicate |
| ✓ Travel total is $744.27 |
| ✓ Software total is $857.16 |
| ✓ Meals total is $681.59 |
| ✓ 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
