# mish

> mish — aetherwing-io-mish. Use this tool when you need to streamline your workflow with a native shell for large language models, leveraging structured output, error diagnostics, and process control to efficiently manage tasks and projects, including git integration for version control. It solves problems related to workflow management, error handling, and process automation, providing a robust interface for inputs and outputs. Ideal for use cases requiring structured and controlled workflow management, such as development, deployment, and collaboration projects.

Canonical page: https://skillsregistry.net/skills/aetherwing-io-mish  
JSON: https://api.skillsregistry.net/v1/skills/aetherwing-io-mish

## Description

The LLM-native shell — five MCP tools for structured output, error diagnostics, and process control

## 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:** MIT
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/aetherwing-io/mish)

## 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": "aetherwing-io-mish"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aetherwing-io-mish` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aetherwing-io-mish/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