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investment-critic

Identify errors, biases, and risks in investment analyses.

1|1|Updated Oct 2, 2025

Search Tags:#fact-checking #risk-assessment #stress-testing #critical-thinking #investment-analysis #bias-detection #bear-case

Ready to run

npx skills add https://github.com/ZhiruiFeng/LocalAgentCrew --skill investment-critic

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: investment-critic
Source: https://github.com/ZhiruiFeng/LocalAgentCrew/tree/main/.claude/skills/investment-critic
Command: npx skills add https://github.com/ZhiruiFeng/LocalAgentCrew --skill investment-critic

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Identifies factual errors, hidden assumptions, and underweighted risks in investment analyses to prevent flawed decisions.

Core Features & Use Cases

Factual accuracy checks and error spotting
Assumption critique and bear-case development
Risk and bias assessment across investment theses
Stress-testing and scenario analysis for buy/sell recommendations
Applicable to investment theses, portfolio reviews, and due-diligence analyses

Quick Start

Provide a rigorous, independent critique of the investment thesis to surface risks and biases.

Frequently Asked Questions about investment-critic

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

FAQPage Schema

How do I stress-test an investment thesis to uncover hidden risks?▼

To stress-test an investment thesis, apply a structured critical-analysis workflow that includes factual accuracy checks, assumption critique, risk scoring, bias detection, and bear-case development to rigorously surface hidden risks and prevent flawed decisions.

What is bias detection in investment analysis and why is it needed?▼

Bias detection in investment analysis identifies cognitive biases and hidden assumptions that may skew buy or sell recommendations. It is needed to prevent flawed investment decisions by ensuring the evaluation of investment theses relies on factual accuracy and rigorous risk assessment rather than subjective or flawed reasoning.

How do I critique the assumptions in a financial due-diligence analysis?▼

Critiquing assumptions in a financial due-diligence analysis requires a structured critical-analysis workflow to review investment theses. This involves performing factual accuracy checks, assessing hidden assumptions, and developing a bear-case to expose underweighted risks and errors in the original investment analysis.

Can I use critical-thinking analysis for both portfolio reviews and individual investment theses?▼

Yes, critical-thinking analysis is applicable to both portfolio reviews and individual investment theses. It provides an independent critique by performing factual accuracy checks, bias detection, and risk scoring to evaluate the rigorousness of buy or sell recommendations across different investment contexts.

What is the best way to develop a bear-case for a buy recommendation?▼

The best way to develop a bear-case for a buy recommendation is through a structured critical-analysis workflow. This involves actively detecting biases, stress-testing the investment thesis assumptions, and scoring risks to rigorously surface factual errors and underweighted downside vulnerabilities.

What are the limitations of automated risk assessment in investment analysis?▼

The limitations of risk assessment in investment analysis depend on the underlying investment thesis provided; it requires rigorous input to perform factual accuracy checks and bias detection effectively. Without a complete and structured critical-analysis workflow, automated risk scoring may fail to identify deeply hidden assumptions or complex market risks.