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.