Verified:GitHub

financial-model-review

Evaluate financial models for assumption strength and structural integrity.

Updated Apr 29, 2026

Search Tags:#forecasting #financial-model #investment-diligence #decision-verdict #assumption-review #scenario-stress-test

Ready to run

npx skills add https://github.com/Greyborne/OB1-Canobi --skill financial-model-review-greyborne

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: financial-model-review
Source: https://github.com/Greyborne/OB1-Canobi/tree/main/skills/financial-model-review
Command: npx skills add https://github.com/Greyborne/OB1-Canobi --skill financial-model-review-greyborne

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Financial models can look credible while hiding fragile assumptions, missing downside scenarios, or structural flaws that make decisions unreliable.

Core Features & Use Cases

Investor-first model critique that checks whether assumptions are evidence-backed and whether the model is decision-ready.
Assumption pressure-testing to identify unsupported drivers, unrealistic leaps, and timing or efficiency shortcuts.
Structure and scenario validation that flags missing drivers, logic inconsistencies, hidden hard-codes, and weak or absent downside cases.

Quick Start

Review this forecast and tell me which assumptions are fragile and what breaks without the downside scenario being present.

Frequently Asked Questions about financial-model-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I check if a financial model is decision-ready before an investment?▼

To check if a financial model is decision-ready, you perform an investor-grade critique that assesses whether assumptions are evidence-backed and structurally sound. This process flags fragile drivers and missing downside scenarios to ensure investment diligence is reliable.

What is assumption pressure-testing in financial forecasting?▼

Assumption pressure-testing in financial forecasting is the process of identifying unsupported drivers, unrealistic leaps, and timing or efficiency shortcuts within a model. It reveals which specific inputs are fragile and likely to break under stress.

How do I validate downside scenarios in an existing financial forecast?▼

To validate downside scenarios in a financial forecast, you run a scenario stress test that identifies missing or weak downside cases and flags hidden hard-codes. This structure validation exposes logic inconsistencies that make the forecast unreliable.

Can I convert spreadsheet outputs into a decision verdict memo?▼

Yes, you can convert spreadsheet outputs into a decision verdict memo by evaluating the model artifact and producing evidence-labeled findings. This distinguishes what is visibly verified from what cannot be verified, yielding a clear investment verdict.

What are common structural flaws found during financial model diligence?▼

Common structural flaws found during financial model diligence include missing drivers, logic inconsistencies, hidden hard-codes, and weak or absent downside cases. These structural flaws undermine the integrity of the entire forecast.