pr-review
pr-review is a Change & PR review skill for AI agents, published by cardstack in the boxel repository on GitHub. Skillspace rates pr-review D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Review a GitHub pull request thoroughly and post the findings as one inline-first pending review. Builds subsystem context before judging, verifies every claim empirically against the checked-out branch, classifies each finding (regression / pre-existing / follow-up / confirmation), and writes comments with enough mechanism and background that an author unfamiliar with that part of the codebase can act on them without a follow-up question. Use whenever asked to review a PR, give feedback on a pull request, or re-review after the author pushes changes. For the local working diff use the built-in code-review skill (a Claude Code built-in, not a repo skill); for a local guided tour without posting anything, use review-branch.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 23
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- over-broad allowed-tools ('*')
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.