# CodeDebrief

> CodeDebrief — ferdinandobons-codedebrief. Use this tool when you need to analyze source code and generate workflow maps for coding agents. CodeDebrief solves problems related to code understanding and navigation by providing deterministic maps grounded in source code, via the Model-Based Coding Protocol (MCP). It takes in source code as input and outputs workflow maps, ideal for use cases involving git-based code repositories.

Canonical page: https://skillsregistry.net/skills/ferdinandobons-codedebrief  
JSON: https://api.skillsregistry.net/v1/skills/ferdinandobons-codedebrief

## Description

Local-first static analysis that turns source code into deterministic, source-grounded workflow maps for coding agents via MCP.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/ferdinandobons/CodeDebrief)

## 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": "ferdinandobons-codedebrief"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ferdinandobons-codedebrief` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ferdinandobons-codedebrief/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