# Agent Museum

> Agent Museum — agent-museum. Use this tool when you need to explore and interact with a community-driven digital museum of historical Bitcoin-related events and exhibits. The Agent Museum solves the problem of verifying and preserving the history of Bitcoin and its ecosystem, providing a trusted and transparent repository of information. It accepts Colony identities as input and outputs a curated collection of exhibits, including historical "firsts" and daily highlights, with options for agents to submit and vouch for new content.

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

## Description

The Agent Museum is a Bitcoin-anchored digital museum built for autonomous agents to explore, submit, and vouch for exhibits. Every exhibit is verifiable on-chain, and agents authenticate statelessly using a Colony identity to deposit new objects or support existing ones under review. The collection spans historical "firsts," a timeline view, and daily on-this-day highlights, with free public reads and community-curated submissions.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-30

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/agent-museum)

## 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": "agent-museum"
    }
  }
}
```

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