Evaluates scientific manuscripts and grant proposals through a systematic assessment of methodology, statistics, and reproducibility.
The Scientific Peer Review skill provides a rigorous framework for critically evaluating research across all academic disciplines. It guides Claude through a comprehensive seven-stage workflow that covers initial assessment, section-by-section deep dives, statistical rigor, and ethical compliance. By implementing standardized reporting guidelines like CONSORT and PRISMA, this skill helps researchers and reviewers identify methodological flaws, assess data integrity, and generate constructive, high-quality feedback for manuscripts and grant applications.
主要功能
010 GitHub stars
02Reproducibility and transparency checks against international reporting standards
03Multi-stage systematic review workflow for rigorous manuscript evaluation
04Comprehensive ethical consideration and research integrity auditing
05Detailed assessment of methodological design and statistical validity
06Structured report generation with prioritized major and minor critiques
使用场景
01Pre-submission internal review of grant proposals and research protocols
02Evaluating the statistical and methodological rigor of published literature
03Generating formal peer review reports for academic journals and publishers