pr-review

pr-review is a Review feedback & PR process skill for AI agents, published by CodeWithCJ in the SparkyFitness repository on GitHub. Skillspace rates pr-review F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Use whenever the user asks to review, vet, or sanity-check a pull request, or to act on the review comments already on one — a GitHub PR URL pasted with little or no instruction, a bare PR number, "review this PR", "is this PR safe", "can I merge this", "check this contribution", "any issues with #1234", "check the bot comments", "fix the CodeRabbit findings", "address the review comments", "update the PR if required". Runs the standing SparkyFitness review: supply-chain, phishing and code-provenance checks first, then architecture alignment with AGENTS.md and agent-docs, then logic, then the state of existing review-bot and reviewer threads. Reports to the terminal only.

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
5,829

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.

View source on GitHubCodeWithCJ/SparkyFitness

Our review

Architecture
95 / 100
Maturity
Basic: a single SKILL.md
Security scan
High-risk patterns
License
Not declared. Check the repository before reusing it.

What the scanner flagged

  • exfiltration language

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

Better-rated skills in Review feedback & PR process

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