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meta-reasoning-bias-detective

Detect cognitive biases, logical fallacies, and hidden assumptions in reasoning.

3|2|Updated Feb 27, 2026
Search Tags:#meta-cognition#critical-thinking#fallacies#bias-detection#biases#reasoning-audit
One-click install
npx skills add https://github.com/grasberg/sofia --skill meta-reasoning-bias-detective
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: meta-reasoning-bias-detective
Source: https://github.com/grasberg/sofia/tree/main/workspace/skills/meta-reasoning-bias-detective
Command: npx skills add https://github.com/grasberg/sofia --skill meta-reasoning-bias-detective

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps users identify and mitigate cognitive biases, logical fallacies, and hidden assumptions that can compromise reasoning quality in AI and human decision-making.

Core Features & Use Cases

  • Bias Detection: Identify systematic thinking errors and cognitive biases.
  • Fallacy Identification: Recognize logical fallacies in arguments and reasoning chains.
  • Assumption Surfacing: Make implicit assumptions explicit and testable.
  • Reasoning Audit: Review thought processes for soundness and completeness.
  • Perspective Expansion: Introduce alternative viewpoints and considerations.
  • Uncertainty Calibration: Help accurately assess confidence levels.

Quick Start

Provide an argument or decision brief for analysis and let this skill surface biases, identify fallacies, and suggest improvements.

Frequently Asked Questions about meta-reasoning-bias-detective

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

FAQPage Schema
How do I detect cognitive biases in AI reasoning?▼

You can detect cognitive biases in AI reasoning by applying structured meta-cognitive checks to evaluation prompts, decision justifications, and multi-step problem solving to identify systematic thinking errors.

What is the best way to surface hidden assumptions in multi-step problem solving?▼

Surfacing hidden assumptions in multi-step problem solving involves making implicit assumptions explicit and testable through reasoning audits that review thought processes for soundness and completeness.

Can I identify logical fallacies in decision justifications?▼

Yes, you can identify logical fallacies in decision justifications by analyzing reasoning chains to recognize argument flaws and introducing alternative viewpoints to expand perspective.

How do I audit reasoning structure for soundness and completeness?▼

Auditing reasoning structure for soundness requires reviewing thought processes against structured meta-cognitive checks, surfacing implicit assumptions, and calibrating uncertainty levels accurately.

When do I need meta-cognitive checks for evaluation prompts?▼

You need meta-cognitive checks for evaluation prompts when assessing decision quality, mitigating cognitive biases, and ensuring self-awareness in AI-generated reasoning and perspective-taking tasks.

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