# browser-rs

> browser-rs — luka-loehr-browser-rs. Use this tool when you need to automate browser interactions for AI agents, leveraging a lightweight Chromium bundle that reduces memory usage. It solves problems such as automating web workflows, generating Markdown pages, and enabling seamless human hand-off, all while providing batching capabilities. Ideal for use cases requiring efficient browser automation, such as data scraping, testing, or workflow automation, with input/output support for Markdown pages and integration with git.

Canonical page: https://skillsregistry.net/skills/luka-loehr-browser-rs  
JSON: https://api.skillsregistry.net/v1/skills/luka-loehr-browser-rs

## Description

Browser automation for AI agents in Rust — Playwright MCP's tools on a bundled Chromium, a third of the memory, pages as Markdown, batching and an in-place human hand-off.

## Trust

- **Trust score (0–1):** 0.59
- **Verification tier:** scanned
- **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/luka-loehr/browser-rs)

## 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": "luka-loehr-browser-rs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/luka-loehr-browser-rs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/luka-loehr-browser-rs/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