# tryoz

> tryoz — hiringbae-tryoz. Use this tool when you need to quickly set up an Oz MCP environment for coding agents, streamlining the development process with a one-line setup that integrates with git for version control. It solves problems of tedious environment configuration and facilitates collaboration among agents. Ideal for use cases requiring rapid deployment and testing of coding agents in an Oz MCP setup.

Canonical page: https://skillsregistry.net/skills/hiringbae-tryoz  
JSON: https://api.skillsregistry.net/v1/skills/hiringbae-tryoz

## Description

One-line Oz MCP setup for coding agents

## Trust

- **Trust score (0–1):** 0.75
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/hiringbae/tryoz)

## 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": "hiringbae-tryoz"
    }
  }
}
```

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