review-issue
review-issue is an Issues & backlog tracking skill for AI agents, published by PrefectHQ in the fastmcp repository on GitHub. Skillspace rates review-issue D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Review an incoming external issue (and any gated-closed PR behind it) and decide whether to assign the contributor or decline. Use when the maintainer says "look at this issue", "review issue #N", "should we take this", or asks whether to assign someone. Assigning the author auto-reopens their PR for normal review. This is the entry point for incoming-issue triage — distinct from review-pr, which responds to bot reviews on your own open PR.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 27,643
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- 99 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
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
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