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Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments. Use for authorized review of scientific manuscripts, protocols, preprints, or research proposals; reporting-guideline selection; claim–evidence checks; methods, statistics, reproducibility, ethics, figure/table, and citation critique; or revision-response planning.
peer-review is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # Peer Review Support an accountable human reviewer with a rigorous, fair, actionable assessment. Treat every unpublished submission and review as confidential. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding peer-review to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install lza6/Armor-piercing-system-promptsReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# Peer Review Support an accountable human reviewer with a rigorous, fair, actionable assessment. Treat every unpublished submission and review as confidential. ## Mandatory safety