Analyze Paper

Assessing scientific rigor involves evaluating study design, sample size, statistical methods, effect sizes, and reproducibility claims. This Skill extracts these quality metrics alongside methodology details to generate a structured quality scorecard rating the paper's methodological strength and reliability across multiple dimensions.

Automated paper analysis extracts authors, affiliations, primary findings, study design details, statistical outcomes, and conflict-of-interest disclosures into structured format. The Skill generates a 16-word summary, quality metrics, and a final rating explaining the paper's scientific credibility and reproducibility potential.

Yes. Research paper analysis applies across academic disciplines—life sciences, social sciences, engineering, medicine—by standardizing methodology extraction, quality appraisal, and rigor assessment. The structured outputs accommodate domain-specific study designs while maintaining consistent evaluation criteria.

Conflict-of-interest evaluation extracts author funding sources, institutional affiliations, and disclosed financial relationships to flag bias risks. The Skill surfaces these details in its structured report so you can assess whether undisclosed interests may influence findings or methodology.

Reproducible methodology requires sufficient detail on study design, sample selection, data collection procedures, statistical analysis steps, and result reporting. The Skill assesses reproducibility by evaluating whether the paper documents these elements clearly enough for independent researchers to replicate the work.

Yes. Structured extraction of findings, study details, and quality scores enables systematic comparison across papers. By standardizing output format—study design, sample size, effect sizes, p-values—the Skill supports evidence synthesis, meta-analysis preparation, and research landscape mapping.