pr-review
Review pull requests for the MiniMax Skills repository
Install / Use
npx skills add MiniMax-AI/skills --skill pr-reviewInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
AutomationSupported Platforms
Our assessment of pr-review
pr-review scores 70/100 on our quality scale, 1497th of 1,753 Automation skills we index.
Its SKILL.md is 2.4 KB long, split into 6 sections with 1 code example: moderately detailed.
With 13,641 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated about 5 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 98/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-27. Automated pattern scan on 2026-09-27. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
pr-review compared with similar skills
All 4 of these similar skills score higher than pr-review; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| pr-review (this skill)by MiniMax-AI | 70 | 13.6k | 5mo ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 85.7k | 12d ago | CLAUDE.md |
| rufloby ruvnet | 100 | 73.4k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 84.0k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 5d ago | SKILL.md |
Frequently asked questions
- How do I install pr-review?
- Run
npx skills add MiniMax-AI/skills --skill pr-review. The install tabs above show the steps for each supported agent. - Which AI agents does pr-review work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is pr-review safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 98/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is pr-review still maintained?
- The repository was last updated about 5 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
Skill content
View source on GitHubname: pr-review description: > Review pull requests for the MiniMax Skills repository. Use when reviewing PRs, validating new skill submissions, or checking existing skills for compliance. Run the validation script first for hard checks, then apply quality guidelines for content review. Triggers: PR review, pull request, validate skill, check skill. license: MIT metadata: version: "1.0" category: tooling
PR Review Skill
Review pull requests against repository standards. Two-phase process: automated validation, then manual content review.
Phase 1: Automated Validation (Hard Rules)
Run the validation script to check structural requirements:
python .claude/skills/pr-review/scripts/validate_skills.py
The script checks:
SKILL.mdexists in every skill directory- YAML frontmatter is parseable
- Required fields present:
name,description namematches directory name- No hardcoded secrets detected
All ERROR-level checks must pass. WARNING-level items (missing license, metadata) should be flagged but are not blockers.
See references/structure-rules.md for the complete hard rules specification.
Phase 2: Content Review (Soft Guidelines)
After automated checks pass, review the PR against quality guidelines:
- Skill scope — Does it overlap with existing skills? Is the boundary clear?
- Description quality — Does the
descriptioninclude clear trigger conditions? - File size — Are reference docs reasonably sized for context window consumption?
- API key handling — If external APIs are used, are credentials read from environment variables?
- Script quality — Do scripts have shebang, requirements.txt, and error handling?
- Language — Are SKILL.md and code written in English?
- README sync — Are
README.mdandREADME_zh.mdupdated for new skills?
See references/quality-guidelines.md for soft guidelines details.
Review Checklist Summary
Must Pass (Blockers)
- [ ]
validate_skills.pyexits with code 0 - [ ] PR title follows conventional commit format
- [ ] One PR, one purpose
Should Pass (Flagged in Review)
- [ ] No functional overlap with existing skills
- [ ] Description includes trigger conditions
- [ ] Files are reasonably sized
- [ ] API keys via environment variables
- [ ] README tables updated for new skills (Source column set to
Community)
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
