Systematic peer review and self-evaluation toolkit. Evaluate methodology, statistics, experimental design, reproducibility, ethics, and reporting standards. Use during the REVIEW phase to assess manuscript quality before submission, or when reviewing others' work.
npx playbooks add skill braselog/researchassistant --skill peer-review
Systematic peer review and self-evaluation toolkit. Evaluate methodology, statistics, experimental design, reproducibility, ethics, and reporting standards. Use during the REVIEW phase to assess manuscript quality before submission, or when reviewing others' work.
This compact 32-word instruction set is purpose-built for code review & quality work in AI coding agents. Install with a single command.
Systematic peer review and self-evaluation toolkit. Evaluate methodology, statistics, experimental design, reproducibility, ethics, and reporting standards. Use during the REVIEW phase to assess manuscript quality before submission, or when reviewing others' work.
Peer Review is a free code review & quality skill for AI coding agents. Systematic peer review and self-evaluation toolkit. Evaluate methodology, statistics, experimental design, reproducibility, ethics, and reporting standards. Use during the REVIEW phase to assess manuscript quality before submission, or when reviewing others' work.. It provides a specialized system prompt that configures your agent with code review & quality expertise.
Run npx playbooks add skill braselog/researchassistant --skill peer-review in your terminal to install Peer Review into your Claude Code session. It works immediately after installation.
Peer Review is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Yes, Peer Review is completely free and open source. The full source is available on GitHub at https://github.com/braselog/researchassistant/tree/main/.ra/skills/peer-review. You only need a subscription to the AI agent you use it with.
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