reasoning-fallacy-review

Identify and mitigate cognitive biases in analytical workflows.

9|Updated Feb 26, 2026
One-click install
npx skills add https://github.com/diegoscarabelli/system2 --skill reasoning-fallacy-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reasoning-fallacy-review
Source: https://github.com/diegoscarabelli/system2/tree/main/src/server/agents/skills/reasoning-fallacy-review
Command: npx skills add https://github.com/diegoscarabelli/system2 --skill reasoning-fallacy-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill mitigates the impact of System 1 thinking by providing a structured framework to identify and correct cognitive biases and reasoning fallacies in complex analytical projects.

Core Features & Use Cases

  • Bias Cataloging: Provides a comprehensive reference for common analytical errors like WYSIATI, Confirmation Bias, and the Narrative Fallacy.
  • Adversarial Review: Implements structured techniques such as the Premortem and Analysis of Competing Hypotheses to stress-test conclusions.
  • Use Case: Use this skill when reviewing a high-stakes forecast or causal claim to ensure the analyst has accounted for uncertainty, base rates, and potential alternative explanations.

Quick Start

Invoke the reasoning-fallacy-review skill to perform a critical audit of the current project analysis for potential cognitive biases and logical gaps.

Frequently Asked Questions about reasoning-fallacy-review

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

FAQPage Schema
How do I identify cognitive biases in analytical work?

To identify cognitive biases in analytical work, you can use structured adversarial review techniques like the Premortem or Analysis of Competing Hypotheses to stress-test conclusions against uncertainty and alternative explanations.

What is the best way to review reasoning fallacies in a risk assessment?

The best way to review reasoning fallacies in a risk assessment is to apply root deficiency analysis and adversarial techniques, ensuring the analyst accounted for base rates, uncertainty, and potential alternative explanations.

How do I mitigate confirmation bias when reviewing causal claims?

Mitigate confirmation bias in causal claims by cataloging common analytical errors like WYSIATI and the Narrative Fallacy, then applying structured frameworks to enforce rigorous, evidence-based conclusions.

Can I use this to stress-test high-stakes forecasts?

Yes, you can use this approach to stress-test high-stakes forecasts by applying adversarial review techniques to identify logical gaps and ensure the analyst has properly accounted for uncertainty.

What are common analytical errors targeted during a critical audit?

Common analytical errors targeted during a critical audit include WYSIATI, Confirmation Bias, and the Narrative Fallacy, which are cataloged to correct the impact of System 1 thinking in complex projects.

When do I need to apply Analysis of Competing Hypotheses?

Apply Analysis of Competing Hypotheses when reviewing interpretive data analysis or causal claims to ensure conclusions are rigorous and account for potential alternative explanations rather than relying on a single narrative.