# ragclaw-lite

> ragclaw-lite — adam-andel-ragclaw-lite. Use this tool when you need to deploy a private AI agent platform with hybrid retrieval capabilities, safe code execution, and multi-user collaboration. It solves problems related to secure and efficient AI model deployment, code management, and team workflows. The ragclaw-lite platform accepts git inputs and provides outputs through a shared skill system and parallel search interface.

Canonical page: https://skillsregistry.net/skills/adam-andel-ragclaw-lite  
JSON: https://api.skillsregistry.net/v1/skills/adam-andel-ragclaw-lite

## Description

Private-deploy AI agent platform with hybrid retrieval, code sandbox, and shared skill system. RAG + BM25 parallel search, safe execution, and multi-user workspace.

## 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/adam-andel/ragclaw-lite)

## 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": "adam-andel-ragclaw-lite"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/adam-andel-ragclaw-lite` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/adam-andel-ragclaw-lite/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