# browserjack

> browserjack — stickerdaniel-browserjack. Use this tool when you need to leverage OpenAI's Codex browser runtime for coding tasks, such as generating code or integrating with git, directly from macOS using Claude Code or any MCP client. It solves problems related to code generation, automation, and version control by providing a seamless interface to Codex capabilities. The tool takes in coding requests and git commands as input, producing generated code or automated git outputs.

Canonical page: https://skillsregistry.net/skills/stickerdaniel-browserjack  
JSON: https://api.skillsregistry.net/v1/skills/stickerdaniel-browserjack

## Description

Use OpenAI's installed Codex browser runtime from Claude Code or any MCP client on macOS.

## Trust

- **Trust score (0–1):** 0.95
- **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/stickerdaniel/browserjack)

## 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": "stickerdaniel-browserjack"
    }
  }
}
```

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