# clawstash

> clawstash — fo0-clawstash. Use this tool when you need to efficiently store, search, and retrieve documents, code, and data for AI agents. It solves problems of data management and retrieval through a dynamic graph-based approach, accessible via MCP or REST API. Ideal for use cases requiring on-demand access to git version-controlled data, code, and documents.

Canonical page: https://skillsregistry.net/skills/fo0-clawstash  
JSON: https://api.skillsregistry.net/v1/skills/fo0-clawstash

## Description

AI-optimized stash storage — dynamic RAG for agents. Store, search, and retrieve docs, code, and data on demand via MCP or REST API.

## Trust

- **Trust score (0–1):** 0.72
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/fo0/clawstash)

## 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": "fo0-clawstash"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fo0-clawstash` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fo0-clawstash/pull`

---
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