# fast-browser

> fast-browser — hamza-sahin-fast-browser. Use this tool when you need to automate browser interactions for efficient testing and workflow verification. It solves problems related to repetitive browser tasks, authentication, and workflow validation, particularly for Codex and MCP applications. The fast-browser tool takes in Jev/Laya decisions and git inputs, and outputs automated Playwright executions with Brave sessions and verified workflows.

Canonical page: https://skillsregistry.net/skills/hamza-sahin-fast-browser  
JSON: https://api.skillsregistry.net/v1/skills/hamza-sahin-fast-browser

## Description

Open-source browser automation for Codex and MCP. Jev/Laya decisions, Playwright execution, Brave sessions, persistent extension authentication and verified workflows.

## 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:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/hamza-sahin/fast-browser)

## 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": "hamza-sahin-fast-browser"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hamza-sahin-fast-browser` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hamza-sahin-fast-browser/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