Can it help identify p-hacking in research?

Yes, it includes a comprehensive statistical review checklist specifically designed to detect common pitfalls like p-hacking, outcome switching, and multiple comparison errors.

What frameworks does this skill use for evaluation?

The skill primarily utilizes the GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) and Cochrane Risk of Bias (ROB) frameworks to assess evidence quality and research methodology.

Is this skill suitable for academic peer review?

Absolutely. It provides a systematic process for evaluating internal and external validity, making it an excellent tool for preliminary peer review and objective literature critique.

Does it generate visual aids for research papers?

Yes, the skill can automatically generate publication-quality scientific diagrams and schematics to visualize research workflows, bias frameworks, and evidence hierarchies.

Scientific Critical Thinking

Name: Scientific Critical Thinking
Author: unerue

byunerue

0•

数据科学与机器学习

Evaluates research rigor by assessing methodology, statistical validity, and evidence quality using industry-standard frameworks like GRADE and Cochrane.

This skill empowers Claude to perform deep, systematic analysis of scientific research and claims. It provides a structured framework for auditing experimental design, identifying cognitive and measurement biases, and verifying statistical conclusions. By utilizing established methodologies such as GRADE for evidence quality and Cochrane Risk of Bias (ROB) assessments, it helps researchers, students, and professionals validate the reliability of scientific literature. Additionally, it integrates with visualization tools to generate publication-quality schematics that clarify complex research workflows, decision trees, and evidence frameworks.

主要功能

01Systematic detection of cognitive, selection, and analysis biases

02Evidence quality evaluation using GRADE and Cochrane ROB frameworks

03Automated generation of scientific schematics and flowcharts

04Comprehensive methodology and experimental design critique

050 GitHub stars

06Statistical validity assessment including power and p-value interpretation

使用场景

01Assessing the strength and validity of scientific claims in technical documentation

02Peer-reviewing research papers for methodological flaws and p-hacking

03Conducting systematic literature reviews and meta-analyses

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add unerue/skills scientific-critical-thinking

For use in Claude.ai and ChatGPT

Download Skill