# code-review-graph

> code-review-graph — apodal-cherry334-code-review-graph. Use this tool when you need to visualize and optimize code reviews, as it maps reviews as graphs to improve analysis accuracy and reduce token usage, accepting git data as input and providing actionable insights as output, ideal for enhancing development workflows and collaborative coding projects.

Canonical page: https://skillsregistry.net/skills/apodal-cherry334-code-review-graph  
JSON: https://api.skillsregistry.net/v1/skills/apodal-cherry334-code-review-graph

## Description

Map code reviews as graphs to optimize token usage and improve analysis accuracy.

## Trust

- **Trust score (0–1):** 0.17
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/apodal-cherry334/code-review-graph)

## 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": "apodal-cherry334-code-review-graph"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/apodal-cherry334-code-review-graph` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/apodal-cherry334-code-review-graph/pull`

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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