Individual skill
spreadsheet-model-auditor
Audits business spreadsheet models (.xlsx, .xlsm, or Google Sheets exported to .xlsx) for structural integrity errors and explains each fix -- budgets, forecasts, pricing models, commission calculators, FP&A packs, ops trackers, not only banking models. A bundled openpyxl script finds hardcoded numbers inside formulas, typed values pasted over formulas, inconsistent formulas across a row or column,
spreadsheet-model-auditor/SKILL.md
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- Nov 10, 2026
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- Oct 20, 2026
- License
- MIT
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SKILL.mdcore · 7,827 bytesSKILL.mdcore · 7,827 bytesSKILL.mdcore · 7,827 bytesexamples/worked-example.mddoc · 7,415 bytesreferences/error-catalog.mddoc · 13,371 bytesreferences/google-sheets.mddoc · 3,225 bytesscripts/audit_xlsx.pyruns · 52,435 bytestests/build_fixtures.pyruns · 8,929 bytestests/run_tests.pyruns · 4,426 bytes
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# Spreadsheet Model Auditor
Models look right when you read them cell by cell. Structural errors -- a SUM that stopped one row short, a formula overwritten with a typed number in month 7, a rate hardcoded in one copy of a formula -- are invisible to eyeballing and are exactly what gets people fired over a board number. Do not audit by reading the grid. Run the script, which reads every formula, then spend human judgment on what a script cannot know: whether the assumptions are sane.
## Workflow
### 1. Get an .xlsx
- Excel file: use it directly (.xlsx or .xlsm). Legacy .xls: convert first with `soffice --headless --convert-to xlsx file.xls`.
- Google Sheets: File > Download > Microsoft Excel (.xlsx). Read `references/google-sheets.md` for which Sheets functions survive export and what to check manually.
- CSV is not a model. It has no formulas; there is nothing structural to audit. Ask for the workbook.
### 2. Run the script
