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Pr review

Skill aiskillstore/marketplace/skills/minimax-ai/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.From its SKILL.md

Install
npx -y skills add aiskillstore/marketplace --skill pr-review

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.

What its file declares

Copied from the file, not written here

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

2.4 KB, 446 tokens by cl100k_base, as published. Nobody here has run it

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)

What ships with it: 4 files

33.9 KB alongside SKILL.md, 1 of them executable

references/

scripts/

Gives 0 of the 12 instructions most quality gates skills give in 446 tokens

Counted across 1,524 of the 2,830 authors here whose files we hold, read 2026-09-06

  • Read full output and check exit codein 45 of 1524, across 40 files
  • Verify output confirms the claimin 44 of 1524, across 39 files
  • Identify the command that proves the claimin 43 of 1524, across 39 files
  • Execute the full verification commandin 36 of 1524, across 30 files
  • Produce a verification reportin 34 of 1524, across 18 files
  • Review git diff changesin 30 of 1524, across 16 files
  • Fix build failures immediatelyin 29 of 1524, across 9 files
  • Group findings by severityin 28 of 1524
  • State claim only with evidencein 27 of 1524, across 22 files
  • Verify regression tests with red-green cyclein 26 of 1524, across 22 files
  • Run the full test suitein 26 of 1524, across 25 files
  • Run test suite with coveragein 25 of 1524, across 10 files

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.