head to head · open source

code-review-graph vs claude-code-skills

code-review-graph has 32,563 GitHub stars, 2,964 forks, 163 open issues and last shipped 5 days ago. claude-code-skills has 587 stars, 88 forks, 0 open issues and last shipped 8 days ago. code-review-graph leads on adoption by 5,447% (32,563 vs 587 stars). code-review-graph is written in Python under MIT; claude-code-skills is written in Shell under MIT. code-review-graph has attracted 9% as many forks as stars, claude-code-skills 15%. code-review-graph was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (claude-code, code-review), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

code-review-graph ★ 33K claude-code-skills ★ 587 category Developer Tools

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Side by side

code-review-graph claude-code-skills
GitHub stars ★ 33K ★ 587
License MIT MIT
Written in Python Shell
Last push 2026-10-29 2026-10-26
Forks ⑂ 3.0K ⑂ 88
Self-hosting Yes Yes
Data ownership Your server Your server

pick code-review-graph if

  • You weight community size — 33K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full code-review-graph profile →

pick claude-code-skills if

  • You want the claude-code-skills feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Shell
  • You evaluated both and claude-code-skills fits your workflow better

full claude-code-skills profile →

About code-review-graph

code review graph Stop burning tokens. Start reviewing smarter. English 简体中文 日本語 한국어 हिन्दी Usage · Commands · FAQ · Troubleshooting · GitHub Action · Reproducing the benchmarks · Roadmap AI coding tools can end up re reading large parts of your codebase on review tasks. code review graph fixes that. It builds a structural map of your code with Tree sitter, tracks changes incrementally, and gives your AI assistant precise context via MCP so it reads only what matters. Quick Start One command sets up everything. install detects which AI coding tools you have, writes the correct MCP configuration for each one…

read the full code-review-graph overview →

About claude-code-skills

Claude Codex Skills Give your AI agent a clear finish line. You ask for a fix and get a new abstraction. A review lists generic advice. The agent says “done,” but you still have to work out what it checked. These skills give Claude Code and Codex a concrete way to finish the task: establish the intended outcome, work within scope, verify the result, and make remaining gaps explicit. Choose the skill for the problem in front of you. Project page · Install · Full catalog What changes in your workflow A clearer target. Turn an idea, bug report, or incident into an outcome the agent can check. Focused work. Reuse…

read the full claude-code-skills overview →

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Frequently asked questions

Is code-review-graph or claude-code-skills more popular?

code-review-graph has 32,563 GitHub stars and claude-code-skills has 587. code-review-graph has the larger community by that measure.

Are code-review-graph and claude-code-skills free?

Both are open source. code-review-graph is licensed under MIT and claude-code-skills under MIT. Neither carries a licence fee.

What is the difference between code-review-graph and claude-code-skills?

code-review-graph is written in Python and claude-code-skills in Shell. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, code-review-graph or claude-code-skills?

Choose code-review-graph if you want the larger community (32,563 stars) or its MIT licence terms. Choose claude-code-skills if its feature set, stack or MIT licence fits better. Both are self-hostable.