# genpark-osaurus-local-agent-runner-skill

> genpark-osaurus-local-agent-runner-skill — alphaparkinc-genpark-osaurus-local-agent-runner-skill. Use this tool when you need to execute AI agents offline in a local environment, solving problems of limited internet connectivity and data privacy concerns. It provides a local-first execution environment, accepting Git repositories as input and producing AI model outputs. Ideal for use cases where offline AI agent deployment is crucial, such as edge devices or remote areas with limited internet access.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-osaurus-local-agent-runner-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-osaurus-local-agent-runner-skill

## Description

Osaurus-like local-first offline AI agent execution environment

## Trust

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

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/alphaparkinc/genpark-osaurus-local-agent-runner-skill)

## 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": "alphaparkinc-genpark-osaurus-local-agent-runner-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-osaurus-local-agent-runner-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-osaurus-local-agent-runner-skill/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