# grazy

> grazy — thomyg-grazy. Use this tool when you need to streamline command line interactions with a user-friendly companion. Grazy solves problems related to command line management, providing an efficient interface to execute and manage commands. It takes in user input and outputs command line results, ideal for use in development, system administration, and other technical contexts.

Canonical page: https://skillsregistry.net/skills/thomyg-grazy  
JSON: https://api.skillsregistry.net/v1/skills/thomyg-grazy

## Description

grazy - Your Grazer Command Line Companion.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-25

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/thomyg-grazy)

## 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": "thomyg-grazy"
    }
  }
}
```

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