Pr Review

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.md exists in every skill directory
• YAML frontmatter is parseable
• Required fields present: name, description
• name matches 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:

1. Skill scope — Does it overlap with existing skills? Is the boundary clear?
2. Description quality — Does the description include clear trigger conditions?
3. File size — Are reference docs reasonably sized for context window consumption?
4. API key handling — If external APIs are used, are credentials read from environment variables?
5. Script quality — Do scripts have shebang, requirements.txt, and error handling?
6. Language — Are SKILL.md and code written in English?
7. README sync — Are README.md and README_zh.md updated for new skills?

See references/quality-guidelines.md for soft guidelines details.

Review Checklist Summary

Must Pass (Blockers)

• validate_skills.py exits 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)

Source: MiniMax-AI/skills → .claude/skills/pr-review/SKILL.md