Scientific Critical Thinking

This walks you through systematic evaluation of research methodology, experimental design, and statistical validity using frameworks like GRADE and Cochrane Risk of Bias. You get structured checklists for spotting biases (confirmation, selection, p-hacking), assessing confounders, and evaluating whether conclusions actually follow from the data. It's designed for reviewing papers, planning studies, or teaching critical analysis rather than writing formal peer reviews. The documentation includes detailed taxonomies of common biases and experimental design principles. Optionally integrates with scientific-schematics to generate diagrams like evidence assessment flowcharts, though that requires an OpenRouter API key and sends prompts to a third-party service.

skills.sh installs: 2.5K
GitHub stars: 56.6K
last updated: Aug 21, 2026

View on GitHub

Install

$ npx -y skills add k-dense-ai/scientific-agent-skills --skill scientific-critical-thinking --agent claude-code

Installs into .claude/skills of the current project.

Files

Scientific Critical Thinking

Overview

Critical thinking is a systematic process for evaluating scientific rigor. Assess methodology, experimental design, statistical validity, biases, confounding, and evidence quality using GRADE and Cochrane ROB frameworks. Apply this skill for critical analysis of scientific claims.