Code review graph
Skill SamyakJhaveri/loam/cultivation/marketplace/code-review-graph/skills/code-review-graph
GraphRAG-powered code review with blast-radius analysis via Tree-sitter AST. MCP server. Recommended for 500+ file codebases.From its SKILL.md
npx -y skills add SamyakJhaveri/loam --skill code-review-graphAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
1.3 KB, 274 tokens by cl100k_base, as published. Nobody here has run it
code-review-graph
GraphRAG-powered code review that uses Tree-sitter AST analysis to scope blast radius for diffs and detect architectural hotspots. 24-language support.
Upstream: https://github.com/tirth8205/code-review-graph
Install
pip install code-review-graph
MCP Server Setup
Add to your project's .mcp.json:
{
"code-review-graph": {
"type": "stdio",
"command": "uvx",
"args": ["code-review-graph", "--stdio"],
"env": {}
}
}
The MCP server exposes tools for graph-based code analysis.
How It Complements Loam
- code-review-graph decides WHICH code to look at (blast-radius scoping)
/multi-reviewdecides WHAT to say about it (quality analysis)
Use code-review-graph first to identify affected files, then feed those into /multi-review for focused critique.
Requirements
- Python 3.10+
- Tree-sitter (auto-installed)
- Optional: sentence-transformers, igraph
Notes
- MIT license, actively maintained
- No benefit below ~200 files — graph overhead exceeds savings
- Windows has known deadlock issues
- Still Beta with many open issues
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.