# baron

> baron — shinegang-baron. Use this tool when you need to persist local memory for coding tasks that span multiple conversations, with the ability to track and verify previous answers. Baron provides a reliable storage solution, allowing coding agents to recall and build upon earlier work, and even integrates with git for version control. Ideal for complex coding projects that require continuity and accuracy across multiple interactions.

Canonical page: https://skillsregistry.net/skills/shinegang-baron  
JSON: https://api.skillsregistry.net/v1/skills/shinegang-baron

## Description

Baron Munchausen — local memory for coding agents that outlives the chat, with a verdict on every answer. Public alpha.

## Trust

- **Trust score (0–1):** 0.37
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/shinegang/baron)

## 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": "shinegang-baron"
    }
  }
}
```

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