# autovault

> autovault — autoworks-ai-autovault. Use this tool when you need to manage and track large language model (LLM) skill files, automate updates, and detect drift. Autovault solves version control and consistency problems by integrating with git and providing upstream tracking and import/update tooling. It takes LLM skill files as input and outputs updated files with drift detection notifications, ideal for use cases requiring automated model maintenance and consistency.

Canonical page: https://skillsregistry.net/skills/autoworks-ai-autovault  
JSON: https://api.skillsregistry.net/v1/skills/autoworks-ai-autovault

## Description

Local-first vault for agent skills with MCP, validation, signing, and remote HTTP access

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-26

## Source

- **Source listing:** [GitHub](https://github.com/autoworks-ai/autovault)

## 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": "autoworks-ai-autovault"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/autoworks-ai-autovault` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/autoworks-ai-autovault/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