Automate systematic peer review of scientific manuscripts and grant proposals.
npx skills add https://github.com/ovachiever/droid-tings --skill peer-review-ovachiever
Please help me install this Agent Skill. Skill: peer-review Source: https://github.com/ovachiever/droid-tings/tree/main/skills/peer-review Command: npx skills add https://github.com/ovachiever/droid-tings --skill peer-review-ovachiever
This Skill provides a structured, discipline-spanning approach to evaluating scientific manuscripts and grant proposals, enabling rigorous, reproducible and constructive feedback that improves study quality and transparency.
Use this skill to initiate a structured peer-review process: run an initial high-level assessment, followed by in-depth section reviews, then generate a consolidated feedback report for authors or funding bodies.
High-intent search queries and answers about installing and using this skill.
Systematic peer review evaluates manuscripts through a structured workflow: initial assessment of scope and quality, section-by-section detailed review covering methodology and statistics, and final checks against reporting guidelines like CONSORT, STROBE, or PRISMA. This Skill automates that staged process to deliver rigorous, reproducible feedback aligned with discipline standards.
The framework enforces alignment with major reporting standards including CONSORT for randomized trials, STROBE for observational studies, PRISMA for systematic reviews, ARRIVE for animal research, MIAME for microarray data, and MINSEQE for sequencing experiments. Coverage spans methodology, statistics, reproducibility, and ethics across disciplines.
Yes. The Skill applies discipline-agnostic systematic evaluation across both journal manuscripts and grant proposals. It assesses methodology, design, reproducibility, and ethics using the same structured workflow and reporting guidelines to ensure thorough, constructive feedback regardless of document type.
Peer review assessments check methodology rigor, statistical validity, study design soundness, reproducibility and transparency, ethical compliance, and adherence to reporting standards. The Skill delivers section-by-section notes, summaries, and actionable recommendations for authors or funding bodies.
The framework is discipline-agnostic and provides checklist guidance for key reporting standards, making systematic evaluation accessible across fields. However, substantive disciplinary judgment remains necessary for final recommendations—the Skill structures and automates the assessment process, not domain knowledge itself.
The workflow generates consolidated feedback reports including executive summaries, section-by-section review notes, methodological and statistical rigor assessments, and recommendations. Outputs are formatted for editorial and grant-review processes to streamline communication with authors or funding bodies.
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