# ghost-machines

> Use this tool when you need to create high-performance, secure development environments with integrated AI tools and remote access. It solves problems of slow development setup and insecure access by providing architecture-aware Ubuntu environments orchestrated via Docker. Ideal for modern developers working with git, who require a streamlined and zero-trust development experience.

Canonical page: https://skillsregistry.net/skills/1999azzar-ghost-machines  
JSON: https://api.skillsregistry.net/v1/skills/1999azzar-ghost-machines

## Description

High-performance, architecture-aware Ubuntu development environments. Orchestrated via Docker with integrated MCP servers, AI tools, and zero-trust remote access. Architecture as Code (AasC) for the modern developer.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/1999AZZAR/ghost-machines)

## 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": "1999azzar-ghost-machines"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/1999azzar-ghost-machines` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/1999azzar-ghost-machines/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