Rep by month sales table from the invoice export
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.
Kwame needs January to June sales for each rep by month, with totals, from the invoice export in this folder. Save it as sales_by_rep.xlsx and keep it live. His note has what counts.
Workspace
- invoice_lines_2026-01_to_2026-06.csv
- note_from_kwame.txt
- rep_sales_2025H2.xlsx
Expected deliverables
- sales_by_rep.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 | 2 / 6 |
| Cruz H1 total (four spellings merged) | xlsx_value_present | yes | 2 / 6 |
| Walker H1 total (two spellings merged) | xlsx_value_present | yes | 2 / 6 |
| Walker January (credits netted, deposits out) | xlsx_value_present | yes | 2 / 6 |
| H1 total, all reps | xlsx_value_present | yes | 2 / 6 |
| Patel April reads 0 | custom | yes | 0 / 6 |
Current task declaration (7 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 - Cruz H1 total (four spellings merged) —
xlsx_value_present, required - Walker H1 total (two spellings merged) —
xlsx_value_present, required - Walker January (credits netted, deposits out) —
xlsx_value_present, required - H1 total, all reps —
xlsx_value_present, required - Patel April reads 0 —
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 | 2.0 | 0.0253 | |
| Codex / GPT-5.6 sol | 1 | 1 | 5.2 | 0.5581 |
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": "sales-pivot-by-rep".
Recorded results, desk comparison, 28 September 2026
| System | Repetitions | Frozen / 3 | Original / 3 | Median minutes |
|---|---|---|---|---|
| Proto / GPT-6 sol | 3 | 3 | 3.5 | |
| Codex / GPT-6 sol | 0 | 0 | 3.4 | |
| Proto / DeepSeek V4.1 Flash | 3 | 3 | 1.1 |
A separate campaign under the same frozen scorer, not pooled with the release. Conditions and data.