Cost out the fall menu, plate by plate
The request
The task request supplied to the adapter, alongside the workspace below. Runtime instructions, authorized tools and skills also affect the system. Containerized runs withhold host-side references; local mode is not an isolation boundary.
Can you cost out every dish on the fall menu from Dana's recipe cards and the Harbor price sheet, so I can see what each plate costs us and what we keep? Save it as menu_costs.xlsx with the math as live formulas. Dana left a note about how the kitchen counts it.
Workspace
- harbor_price_sheet_2026-06.csv
- harbor_price_sheet_2026-09.csv
- note_from_dana.txt
- recipe_cards_fall_2026.xlsx
Expected deliverables
- menu_costs.xlsx
This task also has a task-specific grader (check.py).
Recorded acceptance checks
The table uses check names and outcomes from the frozen campaign ledger. Acceptance requires all required predicates to pass; a predicate may itself contain a tolerance or coverage threshold. Its scope is part of the measurement contract.
| Recorded check | Type | Required | Failed / observed |
|---|---|---|---|
| live formulas | xlsx_has_formulas | yes | 0 / 6 |
| no error cells | xlsx_no_errors | yes | 0 / 6 |
| Smash Burger plate cost | xlsx_value_present | yes | 0 / 6 |
| Seared Salmon plate cost | xlsx_value_present | yes | 0 / 6 |
| Mushroom Risotto plate cost | xlsx_value_present | yes | 0 / 6 |
| plate cost and margin, every dish | custom | yes | 0 / 6 |
Current task declaration (6 checks)
From task.yaml. Original runner grading and frozen retrospective scoring are separate. Read the frozen source for the rules behind the reported results.
- live formulas —
xlsx_has_formulas, required - no error cells —
xlsx_no_errors, required - Smash Burger plate cost —
xlsx_value_present, required - Seared Salmon plate cost —
xlsx_value_present, required - Mushroom Risotto plate cost —
xlsx_value_present, required - plate cost and margin, every dish —
custom, required
Recorded results, desk release
| System | Repetitions | Frozen / 3 | Original / 3 | Median minutes | Mean model estimate (USD) |
|---|---|---|---|---|---|
| Proto / DeepSeek V4.1 Flash | 3 | 3 | 4.6 | 0.0730 | |
| Codex / GPT-5.6 sol | 3 | 3 | 6.0 | 0.6074 |
These are repeated executions on the released fixture, not independent new business cases. Cost is captured model usage priced under the recorded assumptions, excluding infrastructure and human review. Per-attempt check verdicts, raw and frozen verdicts, usage, receipt and artifact hashes for this task are in results/latest/attempts.jsonl under "task": "menu-cost-sheet".
Recorded results, desk comparison, 28 September 2026
| System | Repetitions | Frozen / 3 | Original / 3 | Median minutes |
|---|---|---|---|---|
| Proto / GPT-6 sol | 3 | 3 | 2.2 | |
| Codex / GPT-6 sol | 3 | 3 | 3.0 | |
| Proto / DeepSeek V4.1 Flash | 3 | 3 | 1.5 |
A separate campaign under the same frozen scorer, not pooled with the release. Conditions and data.