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xlsx-toolkit

Audit Microsoft Excel (.xlsx) workbooks for sheet count, cell count, formula density, external references, named ranges, hidden sheets, and data validation rules. Use when reviewing a financial model, sharing a workbook externally, or when the user mentions xlsx audit, spreadsheet review, formula audit, or workbook leakage check.

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Xlsx Toolkit

Audit .xlsx files using the standard library only — no openpyxl required. Reads OOXML directly via zipfile + xml.etree.

Table of Contents

  • [Keywords](#keywords)
  • [Quick Start](#quick-start)
  • [Core Workflows](#core-workflows)
  • [Tools](#tools)
  • [Reference Guides](#reference-guides)
  • [Templates](#templates)
  • [Best Practices](#best-practices)

Keywords

xlsx, Excel, spreadsheet, workbook, financial model, formula audit, hidden sheets, external references, named ranges, data validation

Quick Start

python scripts/xlsx_auditor.py model.xlsx

Outputs: sheet count and names, hidden-sheet count, cell count per sheet, formula count per sheet, external link count, named range count, data validation rule count.

Core Workflows

Workflow 1: Pre-Send Workbook Audit

Goal: Catch the issues that embarrass the sender — leftover hidden sheets, broken external links, unused named ranges, formulas referencing local file paths.

Steps:

  1. Run audit
  2. Hidden sheets > 0 → confirm intentional or delete
  3. External links > 0 → verify links point to public / shared sources, not your local drive
  4. Named-range count anomalies (very high) → likely cruft from prior model versions; clean up
  5. Re-run until clean

Time Estimate: 5-10 minutes per workbook.

Workflow 2: Financial Model Review

Goal: Quantify the rough complexity of a financial model before reading cell-by-cell.

Steps:

  1. Run audit; capture per-sheet cell counts and formula counts
  2. Sheets with formula density > 70% are calculation sheets; should be well-structured
  3. Sheets with formula density 0-10% are inputs; should be obviously labeled
  4. Sheets with formula density 10-70% are mixed — easiest place for errors to hide
  5. Cross-reference with references/financial_model_audit_guide.md

Time Estimate: 30-60 minutes per model audit (audit + targeted reading).

Workflow 3: Workbook Handoff Check

Goal: Ensure a workbook handed off to another team or partner won't break on their machine.

Steps:

  1. Run audit
  2. External links → re-link to shared paths (OneDrive, SharePoint, S3) or hard-code values
  3. Custom named ranges → document if recipient is expected to extend; remove if internal
  4. Macros (xlsm) → audit shows non-.xlsx extension expected; convert if recipient cannot run macros
  5. File size > 10 MB → consider splitting or removing image / chart blobs

Time Estimate: 10-20 minutes per workbook.

Tools

xlsx_auditor.py

Reads a .xlsx file as a ZIP archive and parses OOXML directly.

python scripts/xlsx_auditor.py model.xlsx
python scripts/xlsx_auditor.py model.xlsx --json

Reports:

  • Sheet list with name, hidden status, cell count, formula count, formula density %
  • Total cell and formula counts
  • Named ranges and their scopes
  • External link references (file paths or URLs)
  • Data validation rule count
  • File size

Limits:

  • Does not evaluate formulas. To check whether formulas are correct, use Excel itself or a financial-model-checker library.
  • Does not read cell values for non-shared-string cells beyond counting; full value extraction requires more parsing than this tool does.

Reference Guides

  • references/financial_model_audit_guide.md — Patterns for auditing financial models; common error categories; defensive structure tips

Templates

  • assets/workbook_handoff_checklist.md — Pre-send xlsx sign-off checklist

Best Practices

  • Hide internal-only sheets only when intended. If a sheet is hidden because it's WIP, delete it before sending.
  • Avoid external links across handoffs. A formula referencing 'C:\Users\you\Desktop\old-model.xlsx' is the workbook equivalent of leaving your laptop name in the document author field.
  • Name your inputs. Cells like Inputs!B7 mean nothing. Named ranges like WACC and RevenueGrowth survive structural changes.
  • One model, one purpose. Workbooks that calculate, present, and serve as a database of records always end up broken.

Integration Points

  • Pairs with finance/ skills for financial-model review
  • Pairs with c-level-advisor/cfo-advisor for board-pack workbook review
  • Used by data-analytics/ for ad-hoc analytics handoff
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