# solid-agent-storage

> solid-agent-storage — solid-agent-storage. Use this tool when you need to securely manage identity and storage for AI agents, solving problems of data ownership and access control. It provides a decentralized storage solution, accepting input from AI agents and outputting secured data storage and identity management. Utilize it in contexts where AI agents require autonomous data management and secure interaction with decentralized systems.

Canonical page: https://skillsregistry.net/skills/solid-agent-storage  
JSON: https://api.skillsregistry.net/v1/skills/solid-agent-storage

## Description

W3C Solid identity and storage for AI agents.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawhub.ai/masterworrall/solid-agent-storage)

## 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": "solid-agent-storage"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/solid-agent-storage` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/solid-agent-storage/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