Can this skill identify issues like p-hacking?

Yes, it specifically evaluates statistical analysis for common pitfalls such as p-hacking, multiple comparison errors, selective reporting, and improper sample size/power.

What frameworks does this skill use for evidence evaluation?

The skill utilizes industry-standard frameworks including GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) and Cochrane Risk of Bias (ROB) to systematically assess research quality.

Is this skill useful for reviewing clinical trials?

Absolutely. It is designed to assess randomization, blinding, attrition bias, and the appropriateness of control conditions in clinical and experimental settings.

How does it help with bias detection?

The skill performs a systematic review of cognitive biases, selection biases, measurement errors, and confounding variables that might distort research findings.

Scientific Critical Thinking

Name: Scientific Critical Thinking
Author: jimmc414

byjimmc414

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324

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Data Science & ML

Evaluates scientific research rigor, methodology, and statistical validity using evidence-based frameworks like GRADE and Cochrane.

Scientific Critical Thinking is a specialized skill designed to transform Claude into a rigorous AI scientist capable of performing deep-dive evaluations of research papers and experimental protocols. It provides a systematic framework for assessing study methodology, internal and external validity, and statistical soundness while identifying subtle cognitive and procedural biases. By applying industry-standard tools like the GRADE and Cochrane Risk of Bias frameworks, this skill ensures that scientific claims are scrutinized for evidence quality, confounding variables, and logical fallacies, making it an essential tool for autonomous discovery and evidence-based analysis.

Key Features

01324 GitHub stars

02Evidence quality grading using GRADE and Cochrane ROB frameworks

03Detection of logical fallacies in scientific arguments

04Rigorous methodology and experimental design critique

05Comprehensive detection of cognitive, selection, and analysis biases

06Statistical validity assessment including p-value and power analysis

Use Cases

01Evaluating clinical trial protocols for potential risk of bias

02Validating the statistical claims and conclusions of research manuscripts

03Conducting systematic reviews and meta-analyses of scientific literature

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jimmc414/kosmos scientific-critical-thinking

For use in Claude.ai and ChatGPT

Download Skill