financial-model-validator
Validates financial model assumptions, checks formula integrity, stress tests scenarios
Best use case
financial-model-validator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Validates financial model assumptions, checks formula integrity, stress tests scenarios
Teams using financial-model-validator should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/financial-model-validator/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How financial-model-validator Compares
| Feature / Agent | financial-model-validator | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Validates financial model assumptions, checks formula integrity, stress tests scenarios
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# Financial Model Validator ## Overview The Financial Model Validator skill provides systematic validation of financial models submitted during due diligence. It checks assumption reasonableness, validates formula integrity, and stress tests scenarios to assess model reliability and identify risks. ## Capabilities ### Assumption Validation - Check revenue assumptions against market data - Validate cost structure assumptions - Assess headcount and hiring plan reasonability - Compare unit economics to industry benchmarks ### Formula Integrity Checking - Detect circular references and errors - Validate calculation accuracy - Check balance sheet balancing - Verify cash flow statement tie-outs ### Stress Testing - Run downside scenario analyses - Test assumption sensitivity - Model cash runway under stress - Identify breaking point assumptions ### Benchmark Comparison - Compare projections to comparable companies - Assess growth rate reasonability by stage - Benchmark margins and efficiency metrics - Validate working capital assumptions ## Usage ### Validate Financial Model ``` Input: Financial model file, validation parameters Process: Parse model, run validation checks Output: Validation report, issues identified ``` ### Check Assumptions ``` Input: Model assumptions, market data, benchmarks Process: Compare against reasonable ranges Output: Assumption assessment, flags and concerns ``` ### Stress Test Scenarios ``` Input: Base case model, stress parameters Process: Apply stress scenarios, calculate impacts Output: Stress test results, runway analysis ``` ### Benchmark Model ``` Input: Financial projections, comparable set Process: Compare against benchmarks Output: Benchmark comparison, outlier identification ``` ## Validation Checklist | Category | Key Checks | |----------|------------| | Revenue | Growth rates, pricing trends, customer assumptions | | Costs | Gross margin trends, opex scaling, headcount costs | | Working Capital | AR/AP days, inventory, payment terms | | Cash Flow | Capex, debt service, runway calculation | | Structure | Formula accuracy, circular refs, balance | ## Integration Points - **Financial Due Diligence**: Core validation for financial DD - **DCF Modeler**: Validate models used in DCF analysis - **Scenario Modeler**: Feed validated base case into scenarios - **Financial Analyst (Agent)**: Support analyst validation work ## Common Issues Detected - Unrealistic revenue growth hockey sticks - Margin expansion without clear drivers - Understated headcount requirements - Missing or understated working capital needs - Circular references in model logic - Hard-coded values hiding assumptions ## Best Practices 1. Always validate against source data where possible 2. Check model against historical actuals 3. Run multiple stress scenarios 4. Document all validation findings 5. Request model walkthrough with management
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