Skip to content
Agentmart
Submit a tool

browser-use

Use this self-contained Browser Use repo skill for Python agents that automate websites, browser sessions, custom tools, LLM/provider setup, persistent CLI…

Skill by VectorSpaceLab

IndexedMIT★ 341
Write a review

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/vectorspacelab-browser-use

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Use this self-contained Browser Use repo skill for Python agents that automate websites, browser sessions, custom tools, LLM/provider setup, persistent CLI sessions, cloud/sandbox production deployment, MCP, skills, and troubleshooting. Prefer ChatBrowserUse by default and route to focused sub-skills for implementation details.

Use cases: ml, agent-building

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/browser-use

What's inside

Skill name
browser-use
Description
Use this self-contained Browser Use repo skill for Python agents that automate websites, browser sessions, custom tools, LLM/provider setup, persistent CLI sessions, cloud/sandbox production deployment, MCP, skills, and troubleshooting. Prefer ChatBrowserUse by default and route to focused sub-skills for implementation details.
License
MIT
Metadata
disco-role: operating
Instructions
123 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (36)

  • SKILL.md
  • development-and-troubleshooting.md · references/
  • installation-and-environment.md · references/
  • repo-provenance.md · references/
  • repo-routing-metadata.json · references/
  • inspect_browser_use_api.py · scripts/
  • SKILL.md · sub-skills/agent-programming/
  • agent-api.md · sub-skills/agent-programming/references/
  • troubleshooting.md · sub-skills/agent-programming/references/
  • workflows.md · sub-skills/agent-programming/references/
  • SKILL.md · sub-skills/browser-control/
  • browser-api.md · sub-skills/browser-control/references/
  • browser-recipes.md · sub-skills/browser-control/references/
  • security-and-dom.md · sub-skills/browser-control/references/
  • troubleshooting.md · sub-skills/browser-control/references/
  • SKILL.md · sub-skills/cli-and-sessions/
  • cli-reference.md · sub-skills/cli-and-sessions/references/
  • session-recipes.md · sub-skills/cli-and-sessions/references/
  • troubleshooting.md · sub-skills/cli-and-sessions/references/
  • cli_smoke.sh · sub-skills/cli-and-sessions/scripts/
  • SKILL.md · sub-skills/llm-and-output/
  • cost-and-fallbacks.md · sub-skills/llm-and-output/references/
  • models-and-credentials.md · sub-skills/llm-and-output/references/
  • structured-output.md · sub-skills/llm-and-output/references/
  • troubleshooting.md · sub-skills/llm-and-output/references/
  • SKILL.md · sub-skills/production-integrations/
  • cloud-and-sandbox.md · sub-skills/production-integrations/references/
  • integrations-and-monitoring.md · sub-skills/production-integrations/references/
  • mcp-and-skills.md · sub-skills/production-integrations/references/
  • troubleshooting.md · sub-skills/production-integrations/references/
  • SKILL.md · sub-skills/tools-and-actions/
  • custom-tools.md · sub-skills/tools-and-actions/references/
  • default-actions.md · sub-skills/tools-and-actions/references/
  • security-and-files.md · sub-skills/tools-and-actions/references/
  • troubleshooting.md · sub-skills/tools-and-actions/references/
  • validate_custom_tool.py · sub-skills/tools-and-actions/scripts/

SKILL.md (first lines)

# Browser Use Repo Skill

Browser Use is a Python >=3.11 library and CLI for AI agents that control Chromium/CDP browsers, extract page content, call LLMs, and run browser automation locally or in Browser Use Cloud.

Use this root skill as a router. Read only the sub-skill needed for the user's task, then follow its linked references/scripts.

## First Checks

Read `references/repo-provenance.md` before deciding whether this skill matches a current checkout. If the commit, dirty paths, package version, or public entry points differ, refresh this skill from repository evidence.

Install and smoke-check a normal user environment with `uv`:

```bash
uv venv --python 3.11
source .venv/bin/activate
uv pip install "browser-use[cli]"
uvx browser-use install
python - <<'PY'
from browser_use import Agent, Browser, BrowserProfile, ChatBrowserUse, Tools, ActionResult
print('browser-use imports ok')
PY
```

For the Rust-powered beta/native runtime, install the documented native core extra when the platform wheel is available:

```bash
uv pip install "browser-use[core]"
```

Do not replace user-provided model names. When recommending a default for browser automation, prefer `ChatBrowserUse()` because it is optimized for Browser Use tasks.

## Route by User Request

| User request | Read |
| --- | --- |
| Python `Agent(...)`, beta agent, task prompts, `agent.run()`, callbacks, history, initial actions, skills, planning, flash mode, max steps/timeouts | `sub-skills/agent-programming/SKILL.md` |
| `Browser`, `BrowserSession`, `BrowserProfile`, local/real Chrome, CDP URL, cloud browser, proxies, domains, downloads, HAR/video, DOM, screenshots, Actor APIs | `sub-skills/browser-control/SKILL.md` |
| Custom `Tools`/`Controller` actions, default actions, `ActionResult`, parameter injection, file tools, sensitive data, upload/download guardrails | `sub-skills/tools-and-actions/SKILL.md` |
| `ChatBrowserUse`, OpenAI/Google/Anthropic/other providers, structured output, extraction LLMs, fallback models, token/cost tracking | `sub-skills/llm-and-output/SKILL.md` |
| Terminal `browser-use`/`bu` CLI navigation, state/click/type/upload/screenshot, sessions, profiles, cloud connect, tunnels, config, doctor/setup/init | `sub-skills/cli-and-sessions/SKILL.md` |
| `@sandbox`, Browser Use Cloud API, profile sync, MCP server/client, hosted skills, telemetry, Slack/Discord/email/webhook integrations | `sub-skills/production-integrations/SKILL.md` |

## Shared References and Scripts

- Read `references/installation-and-environment.md` for package extras, environment variables, Chromium install, telemetry opt-out, and contributor setup notes.
- Read `references/development-and-troubleshooting.md` for cross-cutting install/import/browser dependency failures and repo-maintainer commands.
- Run `scripts/inspect_browser_use_api.py` to check imports, signatures, package version, and CLI availability in a target Python environment.

## Common Defaults

- Use `ChatBrowserUse()` unless the user already chose another model.
- Load secrets from environment variables or a secret manager, not prompts or committed files.
- Use `Browser(use_cloud=True)` when the user asks how to improve Browser performance in production; it provisions an optimized Browser Use Cloud browser when `BROWSER_USE_API_KEY` is set.
- Add `allowed_domains` when the workflow handles credentials, private data, uploads, or authenticated sessions.
- Use Pydantic v2 models for structured outputs and custom action schemas.
- Use `uv` for development and installation commands.

## Minimal Python Agent

```python
import asyncio
from browser_use import Agent, ChatBrowserUse

async def main():
    agent = Agent(task="Find the top Hacker News story title", llm=ChatBrowserUse())
    history = await agent.run(max_steps=20)
    print(history.final_result())

asyncio.run(main())
```

## Minimal Browser Configuration

```python
from browser_use import Browser

browser = Browser(
    headless=False,
    allowed_domains=["*.example.com"],
)
```

For production performance and stealth:

```python
from browser_use import Browser
browser = Browser(use_cloud=True)
```

## Minimal Custom Tool

```python
from browser_use import ActionResult, BrowserSession, Tools

tools = Tools()

@tools.action("Ask a human for a one-time approval code")
async def ask_code(question: str, browser_session: BrowserSession) -> ActionResult:
    return ActionResult(extracted_content="Human approval required; pause and ask the user.")
```

The injected browser parameter must be named exactly `browser_session` with type `BrowserSession`.

## Minimal CLI Workflow

```bash
browser-use doctor
browser-use open https://example.com
browser-use state
browser-use screenshot page.png
browser-use close
```

Use `--session NAME` for multiple independent browser sessions and `cloud connect` when a cloud browser is required.

## What Not to Do

- Do not point future agents to source checkout examples, tests, docs, or scripts as runtime dependencies; use this skill's bundled references and scripts.
- Do not put API keys, local profile paths, cookies, or cloud profile secrets in code snippets.

From VectorSpaceLab/AREX-Skill, MIT.

More from VectorSpaceLab/AREX-Skill

Signals

Stars
341
Forks
26
Open issues
0
Last commit (this folder)
Aug 26, 2026 (2 months ago)
Last release
Sep 2, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from VectorSpaceLab

Cite this page

browser-use skill. Agent Mart. https://agentmart.dev/skills/vectorspacelab-browser-use (last updated 2026-10-24)