August yield and scrap by production line
production-yield · timeout 1200 s · source
The ask
Sent verbatim as the prompt. The agent works in a copy of the workspace below and sees nothing else.
Tomasz wants August's yield and scrap for each production line from the batch records. Save it as yield.xlsx with live formulas; his note in the folder says how he wants it worked out.
Workspace
- batch_records_2026-08.csv
- note_from_tomasz.txt
- product_specs.xlsx
Expected deliverables
- yield.xlsx
This task also has a task-specific grader (check.py).
Checks
The task passes only when every required check passes. Reference answers, tolerances, and the planted traps are in the repository, not here.
| Check | Type | Required | Failed (frozen) / 6 |
|---|---|---|---|
| yield.xlsx exists | file_exists | yes | 0 |
| live formulas | xlsx_has_formulas | yes | 0 |
| no error cells | xlsx_no_errors | yes | 3 |
| Bar line good output kg (cases and pieces converted) | xlsx_value_present | yes | 3 |
| Bar line scrap kg (rework netted) | xlsx_value_present | yes | 3 |
| Granola line good output kg (bags converted) | xlsx_value_present | yes | 3 |
| Bites line scrap kg (grams converted, rework netted) | xlsx_value_present | yes | 3 |
| plant input kg (no rework or trial input) | xlsx_value_present | yes | 3 |
| yield per line | custom | yes | 3 |
Recorded results, complete desk comparison
pass pass, frozen scorer only fail timed out
| System | Repetitions | Frozen / 3 | Raw / 3 | Median minutes | Mean cost (USD) |
|---|---|---|---|---|---|
| Proto / DeepSeek V4.1 Flash | 3 | 3 | 7.0 | 0.0704 | |
| Codex / GPT-5.6 sol | 0 | 0 | 6.0 | 0.6744 |
Per-attempt check verdicts, raw and frozen verdicts, usage, receipt and artifact hashes for this task are in results/latest/attempts.jsonl under "task": "production-yield".