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better-code-review-graph

v3.29.6

Knowledge graph for token-efficient code reviews -- semantic search and call-graph resolution across your codebase.

Claude Code6 Skills1 MCP serverstdio

By n24q02m69 GitHub starsUpdated 1 hour ago

Directory evidence

Runtimes
Claude Code
Parsed components
7 skill or MCP entries
Source updated
Oct 2, 2026
Manifest status
Canonical path parsed

The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →

Install better-code-review-graph for Claude Code

Installs for the current user
claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install better-code-review-graph@agent-plugin-marketplace

Paste and run these commands in a terminal with Claude Code. They add and refresh the PluginsMP catalog, then install this plugin.

The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.

Get the source manually
git clone https://github.com/n24q02m/crg

Clone the source repository, then follow its setup instructions to add the plugin to a compatible client. The repository root is the plugin root.

Plugin files

better-code-review-graph/
├── .claude-plugin/plugin.json
├── skills/impact-audit/SKILL.md
├── skills/onboard-repo/SKILL.md
├── skills/refactor-check/SKILL.md
├── skills/review-delta/SKILL.md
├── skills/review-pr/SKILL.md
├── skills/security-sweep/SKILL.md
└── .mcp.json

Included Skills6

impact-auditskills/impact-audit/SKILL.md

Blast radius of a change you have not made yet -- traces a symbol across federated repositories, splits impact per repo, and reports what must ship together.

onboard-reposkills/onboard-repo/SKILL.md

Index an unfamiliar codebase into the knowledge graph, then produce a first orientation map -- entry points, most-depended-upon modules, hotspots, test topology.

refactor-checkskills/refactor-check/SKILL.md

Safety analysis before refactoring -- dependency graph, test coverage, public API exposure, blast radius verdict.

review-deltaskills/review-delta/SKILL.md

Review uncommitted changes using impact analysis. Quick local delta review with blast-radius detection.

review-prskills/review-pr/SKILL.md

Comprehensive PR review -- full branch diff against base, commit-by-commit analysis, breaking change detection, conventional commit verification.

security-sweepskills/security-sweep/SKILL.md

Graph-driven security sweep -- scan for dangerous sinks, then rank each finding by whether an entry point can actually reach it, and triage the rest into suppressions.

MCP servers1

better-code-review-graphstdio
command
uvx
args
--python 3.13 better-code-review-graph
env.MCP_TRANSPORT
stdio
env.EMBEDDING_MODELS
${user_config.EMBEDDING_MODELS}
env.LOCAL_EMBEDDING_MODEL
${user_config.LOCAL_EMBEDDING_MODEL}
env.LOCAL_EMBEDDING_DIM
${user_config.LOCAL_EMBEDDING_DIM}
env.LOCAL_RERANK_MODEL
${user_config.LOCAL_RERANK_MODEL}
env.LOCAL_EMBEDDING_MODEL_FILE
${user_config.LOCAL_EMBEDDING_MODEL_FILE}
env.LOCAL_EMBEDDING_POOLING
${user_config.LOCAL_EMBEDDING_POOLING}
env.LOCAL_EMBEDDING_NORMALIZE
${user_config.LOCAL_EMBEDDING_NORMALIZE}
env.SUMMARY_MODELS
${user_config.SUMMARY_MODELS}
env.EMBEDDING_API_BASE
${user_config.EMBEDDING_API_BASE}
env.LLM_API_BASE
${user_config.LLM_API_BASE}
env.OPENROUTER_API_KEY
${user_config.OPENROUTER_API_KEY}
env.JINA_AI_API_KEY
${user_config.JINA_AI_API_KEY}
env.GEMINI_API_KEY
${user_config.GEMINI_API_KEY}
env.OPENAI_API_KEY
${user_config.OPENAI_API_KEY}
env.COHERE_API_KEY
${user_config.COHERE_API_KEY}

Plugin manifests1

.claude-plugin/plugin.json
{
  "name": "better-code-review-graph",
  "description": "Knowledge graph for token-efficient code reviews -- semantic search and call-graph resolution across your codebase.",
  "version": "3.29.6",
  "userConfig": {
    "EMBEDDING_MODELS": {
      "type": "string",
      "title": "Embedding model selection (optional)",
      "description": "CSV 'provider/model,...'; selects the first entry without runtime fallback. Empty = local fastretrieval registry. Example: cohere/embed-v4.0 (paid; exact 1024 dimensions).",
      "required": false
    },
    "LOCAL_EMBEDDING_MODEL": {
      "type": "string",
      "title": "Local embedding model (optional)",
      "description": "Built-in fastretrieval model ID, or a local directory containing fastretrieval-manifest.json. External IDs require LOCAL_EMBEDDING_DIM.",
      "required": false
    },
    "LOCAL_RERANK_MODEL": {
      "type": "string",
      "title": "Local reranker model (optional)",
      "description": "Fastretrieval TextCrossEncoder model ID; empty = reranking disabled.",
      "required": false
    },
    "LOCAL_EMBEDDING_DIM": {
      "type": "number",
      "title": "Local embedding dimension",
      "description": "Required output dimension for an external LOCAL_EMBEDDING_MODEL ID without a manifest.",
      "required": false
    },
    "LOCAL_EMBEDDING_MODEL_FILE": {
      "type": "string",
      "title": "Local embedding model file",
      "description": "ONNX file path inside a manifest-backed local artifact directory.",
      "required": false
    },
    "LOCAL_EMBEDDING_POOLING": {
      "type": "string",
      "title": "Local embedding pooling",
      "description": "Explicit pooling for an external ID without a manifest: CLS, MEAN, LAST_TOKEN, or DISABLED.",
      "required": false
    },
    "LOCAL_EMBEDDING_NORMALIZE": {
      "type": "boolean",
      "title": "Normalize local embeddings",
      "description": "Apply explicit L2 normalization for an external ID without a manifest.",
      "required": false
    },
    "SUMMARY_MODELS": {
      "type": "string",
      "title": "Summarizer model chain (optional)",
      "description": "CSV 'provider/model,...' for graph summarize; selects the first entry without runtime fallback. Empty = summaries disabled. Example: openrouter/minimax/minimax-m3:free",
      "required": false
    },
    "EMBEDDING_API_BASE": {
      "type": "string",
      "title": "Embedding endpoint (optional)",
      "description": "Provider-compatible endpoint or CF AI Gateway embedding URL; SSRF-guarded.",
      "required": false
    },
    "LLM_API_BASE": {
      "type": "string",
      "title": "Completion endpoint (optional)",
      "description": "Provider-compatible base URL or CF AI Gateway OpenRouter route; SSRF-guarded.",
      "required": false
    },
    "OPENROUTER_API_KEY": {
      "type": "string",
      "title": "OpenRouter API key (optional)",
      "description": "Credential for explicitly selected openrouter/ completion models.",
      "sensitive": true,
      "required": false
    },
    "JINA_AI_API_KEY": {
      "type": "string",
      "title": "Jina AI API key (optional)",
      "description": "Credential for explicitly selected jina_ai/ embedding models. An empty EMBEDDING_MODELS selection uses local ONNX; keys alone do not select cloud. https://jina.ai/api-dashboard/",
      "sensitive": true,
      "required": false
    },
    "GEMINI_API_KEY": {
      "type": "string",
      "title": "Gemini API key (optional)",
      "description": "Enables gemini/ models referenced in EMBEDDING_MODELS / SUMMARY_MODELS. Free tier available. https://aistudio.google.com/apikey",
      "sensitive": true,
      "required": false
    },
    "OPENAI_API_KEY": {
      "type": "string",
      "title": "OpenAI API key (optional)",
      "description": "Enables openai/ models referenced in EMBEDDING_MODELS / SUMMARY_MODELS. https://platform.openai.com/api-keys",
      "sensitive": true,
      "required": false
    },
    "COHERE_API_KEY": {
      "type": "string",
      "title": "Cohere API key (optional)",
      "description": "Enables cohere/ embedding models referenced in EMBEDDING_MODELS. https://dashboard.cohere.com/api-keys",
      "sensitive": true,
      "required": false
    }
  },
  "author": {
    "name": "n24q02m",
    "url": "https://github.com/n24q02m"
  },
  "homepage": "https://github.com/n24q02m/crg",
  "mcpServers": {
    "better-code-review-graph": {
      "command": "uvx",
      "args": [
        "--python",
        "3.13",
        "better-code-review-graph"
      ],
      "env": {
        "MCP_TRANSPORT": "stdio",
        "EMBEDDING_MODELS": "${user_config.EMBEDDING_MODELS}",
        "LOCAL_EMBEDDING_MODEL": "${user_config.LOCAL_EMBEDDING_MODEL}",
        "LOCAL_EMBEDDING_DIM": "${user_config.LOCAL_EMBEDDING_DIM}",
        "LOCAL_RERANK_MODEL": "${user_config.LOCAL_RERANK_MODEL}",
        "LOCAL_EMBEDDING_MODEL_FILE": "${user_config.LOCAL_EMBEDDING_MODEL_FILE}",
        "LOCAL_EMBEDDING_POOLING": "${user_config.LOCAL_EMBEDDING_POOLING}",
        "LOCAL_EMBEDDING_NORMALIZE": "${user_config.LOCAL_EMBEDDING_NORMALIZE}",
        "SUMMARY_MODELS": "${user_config.SUMMARY_MODELS}",
        "EMBEDDING_API_BASE": "${user_config.EMBEDDING_API_BASE}",
        "LLM_API_BASE": "${user_config.LLM_API_BASE}",
        "OPENROUTER_API_KEY": "${user_config.OPENROUTER_API_KEY}",
        "JINA_AI_API_KEY": "${user_config.JINA_AI_API_KEY}",
        "GEMINI_API_KEY": "${user_config.GEMINI_API_KEY}",
        "OPENAI_API_KEY": "${user_config.OPENAI_API_KEY}",
        "COHERE_API_KEY": "${user_config.COHERE_API_KEY}"
      }
    }
  }
}

For maintainers

If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.

[better-code-review-graph on Agent Plugins Marketplace](https://pluginsmp.com/plugins/better-code-review-graph)