What frameworks does this skill use for evaluation?

The skill utilizes established scientific standards including the GRADE system for evidence quality and the Cochrane Risk of Bias (ROB) tool for methodology assessment.

Is this skill limited to medical research?

No. While it incorporates medical frameworks, its core principles for experimental design, logical fallacies, and internal validity are applicable across all scientific and social science domains.

How does it detect bias in a study?

It performs a systematic review of researcher cognitive biases, selection biases, measurement biases, and potential confounding variables that could distort findings.

Can this skill help identify p-hacking and statistical errors?

Yes, it includes a comprehensive statistical review checklist that flags common pitfalls like p-hacking, multiple comparison issues, and inadequate sample sizes.

Scientific Critical Thinking

Name: Scientific Critical Thinking
Author: Activer007

byActiver007

0•

Data Science & ML

Evaluates research rigor by assessing methodology, statistical validity, and bias using established frameworks like GRADE and Cochrane.

This skill empowers Claude to perform rigorous scientific peer review and analysis by providing a systematic framework for evaluating experimental designs, detecting cognitive and measurement biases, and scrutinizing statistical methods. It helps users determine the internal and external validity of studies, identify confounding variables, and assess the strength of evidence across various scientific disciplines. Whether you are conducting a systematic review or validating a research paper's conclusions, this skill ensures a disciplined, evidence-based approach to critical analysis.

Key Features

01Systematic Bias Detection (Cognitive, Selection, Measurement)

02Methodology Critique & Experimental Design Assessment

03Evidence Quality Grading (GRADE & Cochrane ROB)

04Statistical Analysis Evaluation (Power, P-values, Effect Sizes)

05Logical Fallacy Identification in Scientific Arguments

060 GitHub stars

Use Cases

01Conducting systematic literature reviews or meta-analyses

02Peer-reviewing research papers for methodological flaws and bias

03Evaluating the validity of statistical claims in data-driven reports

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add activer007/ordinary-claude-skills scientific-critical-thinking

For use in Claude.ai and ChatGPT

Download Skill