pr-review
pr-review is a Review feedback & PR process skill for AI agents, published by insanum in the dotfiles repository on GitHub. Skillspace rates pr-review C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Pull a GitHub PR into a temporary detached git worktree (sibling of the current repo) with the PR's changes left UNSTAGED against the base branch tip, so the diff is visible directly in neovim. Then optionally analyze the PR and produce a description plus a detailed code review. Use when the user wants to review, pull down, check out, or inspect a GitHub PR locally. Takes the PR number as the single argument.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 34
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
- 100 / 100
- Maturity
- Structured: ships references or scripts
- 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.