# Zsh Tool

> Use this tool when you need to execute advanced Zsh shell commands with reliability and efficiency, solving problems like hanging commands and interactive program management. It provides features like yield-based execution, PTY mode, and automatic recovery from timeouts, making it ideal for use cases requiring robust and interactive shell execution. With inputs like Zsh commands and outputs like execution results and feedback, use the Zsh Tool in contexts where reliable and efficient shell execution is crucial.

Canonical page: https://skillsregistry.net/skills/arktechnwa-zsh-tool  
JSON: https://api.skillsregistry.net/v1/skills/arktechnwa-zsh-tool

## Description

Provides advanced Zsh shell execution for Claude Code with full Bash parity. Features yield-based execution that prevents commands from hanging indefinitely, PTY mode for interactive programs and password prompts, NEVERHANG circuit breaker that tracks timeout patterns and auto-recovers, and A.L.A.N. short-term learning system for retry detection and contextual feedback.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/arktechnwa-zsh-tool)
- **Repository:** <https://github.com/arktechnwa/zsh-tool>

## 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": "arktechnwa-zsh-tool"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/arktechnwa-zsh-tool` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/arktechnwa-zsh-tool/pull`

---
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