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scientific-critical-thinking

Evaluate scientific claims and evidence quality using GRADE and Cochrane ROB frameworks.

2|Updated Apr 12, 2026
Search Tags:#critical-thinking#peer-review#causal-inference#evidence-quality#experimental-design#bias-detection#grade
One-click install
npx skills add https://github.com/Clay-HHK/claude-config --skill scientific-critical-thinking-clay-hhk
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: scientific-critical-thinking
Source: https://github.com/Clay-HHK/claude-config/tree/main/skills/scientific-critical-thinking
Command: npx skills add https://github.com/Clay-HHK/claude-config --skill scientific-critical-thinking-clay-hhk

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Evaluate scientific claims and evidence quality to enable rigorous critique and informed decision-making.

Core Features & Use Cases

  • Systematic critique of experimental design, methodologies, and statistical validity using established standards (GRADE, Cochrane ROB).
  • Bias and confounding detection to improve interpretation and reporting in literature reviews and peer assessments.
  • Tools for teaching critical analysis and producing structured, evidence-based feedback.

Quick Start

Analyze a research abstract to assess design validity, potential biases, and overall strength of evidence.

Frequently Asked Questions about scientific-critical-thinking

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

FAQPage Schema
How do I assess the quality of scientific evidence in a research paper?▼

Assess evidence quality by systematically critiquing experimental design validity, detecting biases and confounders, and applying grading frameworks like GRADE and Cochrane ROB to determine the strength of scientific claims.

What is the GRADE framework for evaluating experimental design?▼

GRADE is an evidence grading framework used to evaluate experimental design validity and statistical methodologies, enabling systematic critique and structured, evidence-based feedback on scientific claims.

How do I detect bias and confounders during a peer review?▼

Detect bias and confounders during peer review by applying methodological critique and bias assessment techniques to research abstracts, ensuring rigorous interpretation and structured, evidence-based feedback.

Can I use Cochrane ROB to critique statistical validity in literature reviews?▼

Yes, Cochrane ROB can critique statistical validity and identify confounders in literature reviews, providing structured feedback to improve interpretation and reporting of scientific evidence.

Why does causal inference fail when experimental design has confounders?▼

Causal inference fails when unaddressed confounders introduce systematic bias into experimental design, invalidating statistical methodology and weakening the overall quality of the supporting scientific evidence.

What is the best way to teach critical analysis of scientific claims?▼

Teach critical analysis by applying evidence grading frameworks like GRADE to systematically critique experimental design, detect biases, and produce structured, evidence-based feedback on scientific claims.

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