# io.github.n24q02m/better-code-review-graph

> Use this tool when you need to efficiently review code and identify patterns, as it provides a knowledge graph with fixed search and configurable embeddings to streamline the code review process. It solves problems related to manual code review, such as reducing time and increasing accuracy, by enabling token-efficient analysis. Ideal for use cases where code quality and consistency are crucial, this tool accepts code inputs and outputs actionable insights and recommendations.

Canonical page: https://skillsregistry.net/skills/io-github-n24q02m-better-code-review-graph  
JSON: https://api.skillsregistry.net/v1/skills/io-github-n24q02m-better-code-review-graph

## Description

Knowledge graph for token-efficient code reviews with fixed search and configurable embeddings

## Trust

- **Trust score (0–1):** 0.41
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.3
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.n24q02m%2Fbetter-code-review-graph)
- **Repository:** <https://github.com/n24q02m/better-code-review-graph.git>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-n24q02m-better-code-review-graph"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-n24q02m-better-code-review-graph` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-n24q02m-better-code-review-graph/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt