Audit Excel financial models for structural, formulaic, and logical errors.
npx skills add https://github.com/smrik/ai-fund --skill check-model-smrik
Please help me install this Agent Skill. Skill: check-model Source: https://github.com/smrik/ai-fund/tree/main/skills/financial-analysis/skills/check-model Command: npx skills add https://github.com/smrik/ai-fund --skill check-model-smrik
This Skill addresses the high risk of errors in financial modeling by providing a systematic, automated audit process to identify broken formulas, circular references, and structural imbalances that compromise decision-making.
Use the check-model skill to audit the attached financial model and generate a report of all identified structural and logic errors.
High-intent search queries and answers about installing and using this skill.
Auditing a financial model requires systematically parsing Excel-based components to verify balance sheet integrity, check formula consistency, and detect hardcoded overrides or circular references across complex multi-tab structures like DCF and LBO models.
Finding circular references and hardcoded values in an LBO model involves formula and logic verification to detect inconsistent formulas, hardcoded overrides, and common modeling pitfalls like sign convention errors within the Excel structure.
Balance sheet integrity verification in 3-statement financial models works by validating structural equality, ensuring cash flow consistency, and checking income statement logic to confirm adherence to standard financial accounting principles.
Yes, you can use an automated audit process to debug complex DCF models in Excel by systematically parsing model components to identify broken formulas, structural imbalances, and logic gaps that compromise decision-making.
When debugging financial models, you should check for common modeling pitfalls including broken formulas, circular references, sign convention errors, inconsistent formulas, and hardcoded overrides that create structural imbalances.
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