critical-analysis

Deconstruct claims, evaluate evidence, and identify logical fallacies and biases.

126|13|Updated Dec 29, 2025
One-click install
npx skills add https://github.com/poemswe/co-researcher --skill critical-analysis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: critical-analysis
Source: https://github.com/poemswe/co-researcher/tree/main/skills/critical-analysis
Command: npx skills add https://github.com/poemswe/co-researcher --skill critical-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you rigorously evaluate arguments, identify logical fallacies, and detect biases within research or any form of textual claim, ensuring objective and evidence-based conclusions.

Core Features & Use Cases

  • Logical Fallacy Detection: Identifies formal and informal fallacies in arguments.
  • Bias Identification: Surfaces cognitive, research, and structural biases.
  • Evidence Quality Auditing: Assesses the strength and validity of supporting evidence.
  • Use Case: When presented with a controversial scientific paper, use this Skill to systematically break down its claims, scrutinize the evidence, and highlight any potential biases or logical flaws.

Quick Start

Analyze the provided text for logical fallacies and biases.

Frequently Asked Questions about critical-analysis

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

FAQPage Schema
How do I identify logical fallacies in an argument or research paper?

To identify logical fallacies, you can systematically deconstruct the argument's claims and map its underlying logic. This framework detects both formal and informal fallacies by auditing the structural reasoning and evidentiary support within the text.

What is the best way to detect cognitive bias in textual claims?

Detecting cognitive bias involves performing a targeted bias audit to surface institutional or structural prejudices. This approach evaluates the text with clinical objectivity to expose underlying cognitive biases affecting the claims.

How do I evaluate evidence quality and research integrity for a scientific claim?

Evaluating evidence quality requires performing an evidentiary inventory to assess the strength and validity of supporting data. This ensures research integrity by scrutinizing whether the evidence objectively substantiates the central claims.

Can I use this framework to generate alternative hypotheses during critical evaluation?

Yes, you can generate alternative hypotheses as part of a comprehensive critical evaluation. This framework supports argument mapping and logic audits to systematically formulate and test alternative explanations for the evidence.

Does argument mapping work for deconstructing controversial scientific papers?

Argument mapping works effectively for deconstructing controversial scientific papers by breaking down their central claims. It systematically inventories the evidence and highlights potential logical flaws or biases for objective review.