pr-review
pr-review is a Pull requests & shipping skill for AI agents, published by catatafishen in the agentbridge repository on GitHub. Skillspace rates pr-review C (72/100) and it passed the safety scan; the rating is based on static analysis only.
Use when reviewing pull requests, fixing CI failures, addressing review comments, resolving threads, cleaning commit history, getting a PR to mergeable state, or managing GitHub issues. Triggers include "check PR", "fix CI", "failing tests", "review comments", "resolve threads", "squash commits", "rebase", "DIRTY merge", "open issues", "close issue", or any request to review, merge, or track work in GitHub.
- Grade
- C
- Quality
- 72 / 100
- Safety
- Passed
- GitHub stars
- 67
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 96 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
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.