# Unix Manual

> Use this tool when you need to access Unix command documentation or provide usage information to users within a conversation. It solves problems such as retrieving help pages, man pages, and command existence checks, and offers a list of common Unix commands. The tool takes input in the form of Unix command queries and returns relevant documentation and usage information as output.

Canonical page: https://skillsregistry.net/skills/tizee-unix-manual  
JSON: https://api.skillsregistry.net/v1/skills/tizee-unix-manual

## Description

This MCP server provides Unix command documentation directly within Claude conversations. It offers tools for retrieving help pages, man pages, and usage information for Unix commands, listing common commands available on the system, and checking command existence. The server takes precautions to prevent command injection and includes logging for debugging. It is designed for use cases where AI assistants need to access and provide Unix command information to users.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/tizee-unix-manual)
- **Repository:** <https://github.com/tizee/mcp-unix-manual>

## 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": "tizee-unix-manual"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tizee-unix-manual` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tizee-unix-manual/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
