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pr-review

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.

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Overview

Install command

npx skills add https://github.com/MiniMax-AI/skills --skill pr-review

Copy and paste this command into Claude Code to install the skill

Source

MiniMax-AI/skills

Stars12,348

Forks1,054

UpdatedMarch 24, 2026 at 11:41

File Explorer

4 files

SKILL.md

readonly

name	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.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:

Skill scope — Does it overlap with existing skills? Is the boundary clear?
Description quality — Does the description include 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.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)

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Source

MiniMax-AI

MiniMax-AI/skills

View GitHub Repository View Creator Repositories

Install command

Download

Run Skill in Manus

Useful forSOC

Software Quality Assurance Analysts and TestersComputer and Mathematical Occupations15-1253L4

name	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.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:

Skill scope — Does it overlap with existing skills? Is the boundary clear?
Description quality — Does the description include 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.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)