Spreadsheet Model QA Assistant
Manual spreadsheet reviews are slow and prone to oversight.
$9.99
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Example session with this skill installed
Review this forecast model structure: Inputs, Monthly_Calc, and Summary. Growth rates are manually typed into each month of the calculation sheet, and the summary tab uses hardcoded cell links.
- Read your context and instructions
- Compiled the spreadsheet model qa
- Generated the data export
I have reviewed the forecast model structure based on your description. The reliance on manual monthly inputs and hardcoded links presents significant integrity risks.
Spreadsheet Model QA Review — Forecast Model
1. Model Context
- Model purpose: Sales and operational forecasting.
- Business area: Finance / Planning.
- Review basis: Structural description provided by user.
- Limitations: No formula logic or file access provided; review limited to architectural risks.
2. Workbook Structure Summary
| Area | Worksheets / content supplied | Purpose | Initial QA note |
|---|---|---|---|
| Inputs | Inputs | Central assumptions | Likely underutilized based on description. |
| Calculations | Monthly_Calc | Monthly forecast logic | High risk of formula drift due to manual edits. |
| Reporting | Summary | Executive view | Hardcoded links suggest fragile reporting. |
4. Formula and Logic Review
| Area | Observation | Risk | Severity | Recommended action |
|---|---|---|---|---|
| Monthly_Calc | Manual growth rates | Formula inconsistency and manual entry error. | High | Move growth rates to Inputs; use single formula. |
| Summary | Hardcoded cell links | Summary may not update if rows/columns are added. | Medium | Use SUMIFS or named ranges for dynamic linking. |
9. Prioritized Findings
| Priority | Finding | Evidence basis | Impact | Recommended action |
|---|---|---|---|---|
| Critical | Decentralized Inputs | Growth rates typed in calc sheet. | High risk of stale data. | Centralize all drivers in 'Inputs' tab. |
| High | Fragile Reporting | Hardcoded links in Summary. | Incorrect reporting after updates. | Implement robust lookups (XLOOKUP/INDEX). |
10. Quick Fixes
- Create a 'Drivers' section in the Inputs tab for growth rates.
- Replace manual monthly entries with a single reference to the Inputs tab.
- Add a 'Checksum' on the Summary tab to ensure it matches the total in Monthly_Calc.
Next steps
- Provide specific formulas from the Monthly_Calc tab to check for relative/absolute reference errors.
- Confirm if there are any hidden sheets containing old versions of these calculations.
- Implement a version control log on a new 'Admin' tab.
spreadsheet-model-qa-assistant.csv
CSV · data export
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
Manual spreadsheet reviews are slow and prone to oversight. This skill analyzes model structures, formulas, and assumptions to identify logic errors and control gaps before you rely on the data for decision-making.
What it does
- Formula auditing detects inconsistent logic, hardcoded values, broken references, and circular risks across worksheets.
- Assumption mapping extracts and evaluates key drivers like growth rates, discount rates, and tax thresholds for sensitivity.
- Control gap analysis identifies missing reconciliation checks, balance flags, and input validation requirements.
- Risk profiling flags hidden rows, external links, undocumented macros, and version control weaknesses.
- QA reporting generates structured review notes, severity-rated findings, and prioritized fix lists for model owners.
How it works
- Provide model context including purpose, intended users, and reporting period.
- Upload or paste workbook structures, formula extracts, or existing review notes.
- Use the audit mode to generate a formal observation table with risk levels and impact analysis.
- Review the generated improvement actions and owner questions to verify specific model behaviors.
Frameworks & tools
This tool works with logic from Excel, Google Sheets, and financial modeling standards. It processes extracted formulas, worksheet maps, and screenshots of model interfaces.
Why this beats prompting it yourself
Generic prompts often miss "hidden" spreadsheet risks like external link dependencies or formula drift across large arrays. This skill uses a systematic audit framework to ensure technical logic, business assumptions, and internal controls are reviewed with equal rigor.
Use cases
- Audit a budget forecast before presenting to the board or investors.
- Review a pricing model for hardcoded inputs that break scalability.
- Perform a sanity check on complex commission or payroll workbooks.
- Generate a formal QA report for a model handed over by a departing developer.
Known limitations
Does not execute macros or scripts. Cannot verify data accuracy without provided sources. Not a replacement for statutory audit or tax certification.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
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