Is it suitable for reviewing grant applications?

Absolutely. The toolkit's focus on methodology, rationale, and experimental design makes it highly effective for evaluating the feasibility and impact of grant proposals.

Can this skill help detect image manipulation?

Yes, it includes specific integrity checks for figures, such as identifying potential duplications, splicing, or selective presentation in Western blots and gels.

What reporting standards does this skill support?

The skill facilitates compliance with major reporting guidelines including CONSORT, STROBE, PRISMA, and ARRIVE to ensure transparent research reporting.

Does it provide feedback on statistical analyses?

Yes, it evaluates whether statistical assumptions were met, checks for multiple testing corrections, and ensures effect sizes are reported alongside p-values.

Scientific Peer Review Toolkit

Name: Scientific Peer Review Toolkit
Author: Zehong-Wang

byZehong-Wang

0•

Data Science & ML

Provides a systematic framework for evaluating scientific manuscripts, research grants, and technical methodologies with rigorous critical analysis.

This skill transforms Claude into a sophisticated scientific reviewer, offering a structured multi-stage workflow for assessing manuscripts across various disciplines. It facilitates a deep dive into statistical rigor, methodology, reproducibility, figure integrity, and ethical compliance. By following standardized reporting guidelines like CONSORT and PRISMA, this toolkit helps researchers and editors generate high-quality, constructive feedback that ensures scientific work is sound, transparent, and significant.

Key Features

01Structured reporting templates for Major and Minor reviewer comments

02Comprehensive section-by-section evaluation from Abstract to Discussion

03Reproducibility checks for data availability and open science compliance

04Integrity verification for figures, images, and data presentation

05Technical rigor assessment including statistical assumptions and power calculations

060 GitHub stars

Use Cases

01Conducting internal pre-submission reviews to identify gaps in data or logic

02Evaluating the methodological soundness of grant proposals and research applications

03Generating professional peer review reports for academic journals

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zehong-wang/kosmos peer-review

For use in Claude.ai and ChatGPT

Download Skill