scientific-critical-thinking

Evaluate research methodology, statistical validity, biases, and evidence quality using GRADE and Cochrane frameworks.

Updated Jun 10, 2026
One-click install
npx skills add https://github.com/eylulsenakumral/auto-company-clean --skill scientific-critical-thinking-eylulsenakumral
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: scientific-critical-thinking
Source: https://github.com/eylulsenakumral/auto-company-clean/tree/main/.claude/skills/scientific-critical-thinking
Command: npx skills add https://github.com/eylulsenakumral/auto-company-clean --skill scientific-critical-thinking-eylulsenakumral

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Assessing whether scientific claims and research papers are trustworthy requires systematic evaluation of methodology, statistics, and bias, which is difficult to do rigorously without structured frameworks. ## Core Features & Use Cases - Methodology Critique: Evaluate study design, internal/external/construct validity, randomization, blinding, and measurement quality. - Bias and Fallacy Detection: Identify cognitive, selection, measurement, and analysis biases plus logical fallacies like p-hacking, HARKing, and correlation-causation confusion. - Evidence Quality Assessment: Apply GRADE, Cochrane ROB, and evidence hierarchy frameworks to weigh strength of evidence. - Use Case: When reviewing a clinical trial paper claiming a treatment works, use this Skill to check randomization quality, power analysis, multiple comparison corrections, and whether causal language is justified by the design. ## Quick Start Ask the AI to critically evaluate the methodology and statistical validity of an attached research paper using the scientific-critical-thinking skill.

Frequently Asked Questions about scientific-critical-thinking

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

FAQPage Schema
How do I critically evaluate a research paper's methodology?▼

Assess study design appropriateness, internal validity (randomization, confounding control, attrition), external validity (sample representativeness), and measurement quality. The skill provides structured checklists covering each validity dimension with specific questions to ask.

What is the GRADE system for evidence quality assessment?▼

GRADE rates evidence as high, moderate, low, or very low quality. RCTs start high and observational studies start low, then ratings are downgraded for risk of bias, inconsistency, indirectness, imprecision, or publication bias, and upgraded for large effects or dose-response relationships.

How do I detect p-hacking and HARKing in published studies?▼

Check for preregistration, compare published outcomes to registered protocols, look for suspicious p-value clustering just below .05, and verify whether hypotheses were stated a priori. Undisclosed multiple analyses and post hoc subgroup claims are key warning signs.

What is the difference between Cochrane ROB and GRADE?▼

Cochrane Risk of Bias assesses individual study quality across domains like randomization and blinding. GRADE evaluates the overall body of evidence for a question, incorporating risk of bias plus consistency, precision, and directness across studies.

When can observational studies support causal claims?▼

Observational studies can support causation when effects are large, show dose-response relationships, replicate consistently across populations and methods, have biological plausibility, and lack plausible confounders. Frameworks like Bradford Hill criteria guide this judgment.