# terrarium

> terrarium — chryaner-terrarium. Use this tool when you need to quickly create and manage disposable computing environments for testing, development, or experimentation. Terrarium solves problems of resource waste and complexity by allowing users to easily fork, break, and revert full virtual machines (VMs) from the command-line interface (CLI) or over Message Control Protocol (MCP). It takes input from git and outputs fully functional VMs, ideal for use cases requiring rapid iteration and isolation.

Canonical page: https://skillsregistry.net/skills/chryaner-terrarium  
JSON: https://api.skillsregistry.net/v1/skills/chryaner-terrarium

## Description

Real, disposable computers in seconds, for you and your AI agent - fork, break, and revert full VMs from the CLI or over MCP

## 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:** 2026-09-24

## Source

- **Source listing:** [GitHub](https://github.com/chryaner/terrarium)

## 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": "chryaner-terrarium"
    }
  }
}
```

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