Is it suitable for grant proposal reviews?

Absolutely. The skill provides a structured framework to evaluate research rationale, novelty, and the feasibility of experimental designs specifically for grant applications.

Does it check for ethical compliance and research integrity?

Yes, it systematically verifies IRB/IACUC approvals, informed consent documentation, animal welfare standards, and checks for potential data or image manipulation.

Can this skill help with statistical validation?

Yes, it evaluates if statistical assumptions are met, checks effect sizes and p-values, and ensures appropriate multiple testing corrections are applied.

Which reporting standards does the Peer Review skill support?

The skill helps assess compliance with various discipline-specific guidelines including CONSORT for trials, PRISMA for systematic reviews, STROBE for observational studies, and ARRIVE for animal research.

Scientific Peer Review & Critical Evaluation

Name: Scientific Peer Review & Critical Evaluation
Author: jimmc414

byjimmc414

•

324

Data Science & ML

Conducts systematic, rigorous reviews of scientific manuscripts and grant proposals by evaluating methodology, statistics, and reporting standards.

About

This skill transforms Claude into an expert scientific reviewer, providing a comprehensive toolkit for evaluating research across diverse disciplines. It guides the user through a structured six-stage workflow, assessing everything from initial hypothesis novelty and methodological rigor to statistical validity and adherence to reporting standards like CONSORT or PRISMA. Based on the Kosmos AI Scientist framework, this skill ensures ethical compliance, data integrity, and constructive feedback, making it an essential tool for journal editors, researchers, and principal investigators vetting grant proposals or manuscript submissions.

Key Features

324 GitHub stars
Systematic six-stage review workflow for manuscripts and grant proposals
Structured report generation with prioritized major and minor constructive feedback
Comprehensive evaluation of statistical rigor and experimental design
Compliance checking against reporting standards like CONSORT, PRISMA, and STROBE
Rigorous integrity checks for data visualization, figures, and ethical documentation

Use Cases

Self-assessment of research papers to ensure reproducibility and methodological rigor
Formal journal peer review of submitted scientific manuscripts
Internal quality control and vetting of grant applications before submission

About

Key Features

324 GitHub stars
Systematic six-stage review workflow for manuscripts and grant proposals
Structured report generation with prioritized major and minor constructive feedback
Comprehensive evaluation of statistical rigor and experimental design
Compliance checking against reporting standards like CONSORT, PRISMA, and STROBE
Rigorous integrity checks for data visualization, figures, and ethical documentation

Use Cases

Self-assessment of research papers to ensure reproducibility and methodological rigor
Formal journal peer review of submitted scientific manuscripts
Internal quality control and vetting of grant applications before submission