Skyvern Browser Automation
Skyvern-AI/skyvern
Automates websites with Skyvern's AI browser agent to fill forms, extract data, download files, log in and run multi-step workflows through SDKs, REST, MCP or a CLI.
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…
$ npx skills add VectorSpaceLab/AREX-Skill --skill browser-use -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill browser-use --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/repositories/repo-skills/browser-use .claude/skills/browser-use && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "browser-use" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/browser-use into .claude/skills/browser-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "browser-use", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/browser-useType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add VectorSpaceLab/AREX-Skill --skill browser-use -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill browser-use --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/repositories/repo-skills/browser-use .agents/skills/browser-use && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "browser-use" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/browser-use into .agents/skills/browser-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "browser-use", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add VectorSpaceLab/AREX-Skill --skill browser-use -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill browser-use --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/repositories/repo-skills/browser-use .cursor/skills/browser-use && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "browser-use" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/browser-use into .cursor/skills/browser-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "browser-use", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/VectorSpaceLab/AREX-Skill.git --path skills/repositories/repo-skills/browser-use--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add VectorSpaceLab/AREX-Skill --skill browser-use -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill browser-use --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/repositories/repo-skills/browser-use .gemini/skills/browser-use && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "browser-use" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/browser-use into .gemini/skills/browser-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "browser-use", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install VectorSpaceLab/AREX-Skill browser-useInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add VectorSpaceLab/AREX-Skill --skill browser-use -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/repositories/repo-skills/browser-use .github/skills/browser-use && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "browser-use" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/browser-use into .github/skills/browser-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "browser-use", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add VectorSpaceLab/AREX-Skill --skill browser-use -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill browser-use --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/repositories/repo-skills/browser-use .opencode/skills/browser-use && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "browser-use" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/browser-use into .opencode/skills/browser-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "browser-use", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
browser-useUse 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…
Browser Use is an agent skill from VectorSpaceLab/AREX-Skill. 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.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `references/development-and-troubleshooting.md`, `references/installation-and-environment.md` and `references/repo-provenance.md`).
It sits in Productivity & Automation, covering Browser automation. It works with Python and Model Context Protocol. The repository describes itself as: A Skill Library for Automated Machine Learning. The licence is MIT.
Read from SKILL.md and the folder at commit ac3fe1a. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
uvuvxpythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use uv and uvx, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
BROWSER_USE_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Browser Use loads about 1.5k tokens when it runs, and up to ~3.6k if it reads all its reference files. Until then it costs about 85 tokens; SKILL.md has 486 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from VectorSpaceLab/AREX-Skill at commit ac3fe1a, republished under its MIT licence (© VectorSpaceLab). 486 words, ~1,463 tokens.
.claude/skills/browser-use/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.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.
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:
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')
PYFor the Rust-powered beta/native runtime, install the documented native core extra when the platform wheel is available:
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.
| 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 |
references/installation-and-environment.md for package extras, environment variables, Chromium install, telemetry opt-out, and contributor setup notes.references/development-and-troubleshooting.md for cross-cutting install/import/browser dependency failures and repo-maintainer commands.scripts/inspect_browser_use_api.py to check imports, signatures, package version, and CLI availability in a target Python environment.ChatBrowserUse() unless the user already chose another model.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.allowed_domains when the workflow handles credentials, private data, uploads, or authenticated sessions.uv for development and installation commands.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())from browser_use import Browser
browser = Browser(
headless=False,
allowed_domains=["*.example.com"],
)For production performance and stealth:
from browser_use import Browser
browser = Browser(use_cloud=True)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.
browser-use doctor
browser-use open https://example.com
browser-use state
browser-use screenshot page.png
browser-use closeUse --session NAME for multiple independent browser sessions and cloud connect when a cloud browser is required.
[all] unless the user's task truly needs them.© VectorSpaceLab, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 6 other files (scripts, references) in skills/repositories/repo-skills/browser-use of VectorSpaceLab/AREX-Skill.
Open the folder on GitHubat commit ac3fe1a
Browser Use next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Browser Use this skillVectorSpaceLab/AREX-Skill | 328 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Skyvern Browser AutomationSkyvern-AI/skyvern | 23k | — | ~1.9k | Automated safety check: Pass | AGPL-3.0 | |
| Browser MCP Agentantibrow/anti-detect-browser-skills | 932 | 1 repos | ~4.2k | Automated safety check: Warn | MIT | |
| Anti Detect Browserantibrow/anti-detect-browser-skills | 932 | — | ~9.8k | Automated safety check: Warn | MIT | |
| Next Dev Loopvercel/next.js | 143k | 9 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Browser Automation Edge Casesaden-hive/hive | 11k | — | ~1.8k | Automated safety check: Pass | MIT |
Skyvern-AI/skyvern
Automates websites with Skyvern's AI browser agent to fill forms, extract data, download files, log in and run multi-step workflows through SDKs, REST, MCP or a CLI.
antibrow/anti-detect-browser-skills
Give an AI agent its own real browser over MCP tool calls - launch, navigate, click, fill, screenshot, extract text, run JS - with a kernel-level real-device fingerprint and a persistent profile, so…
antibrow/anti-detect-browser-skills
Drive Chromium from standard Playwright APIs with a real-device fingerprint applied in the kernel, one persistent isolated profile per identity, and a per-profile proxy whose exit IP sets timezone…
vercel/next.js
Verify Next.js runtime behavior after editing app code. An agent skill from vercel/next.js.
aden-hive/hive
Step-by-step procedure for debugging browser automation failures on complex sites such as LinkedIn, Twitter/X, single-page apps and Shadow DOM pages.
minsight-ai-info/AI-Search-Hub
Run the AI Search Hub browser automation scripts for Yuanbao, LongCat, Doubao, Qwen, Gemini, Grok, and MiniMax.
VectorSpaceLab/AREX-Skill
Use this repo skill for Agent Lightning package tasks: authoring trainable agents, tracing rewards and spans, running LightningStore/Trainer loops, using agl CLI services, choosing examples, and…
VectorSpaceLab/AREX-Skill
A skill your agent uses when configuring LiteLLM for MCP tools, A2A agents, Claude Code/Cursor agent gateway traffic, MCP auth/OAuth, tool permissions, semantic filtering, or agent-specific proxy…
VectorSpaceLab/AREX-Skill
Build and debug DB-GPT agents, tools, skills, teams, and AWEL workflows, including deterministic local DAG runs and HTTP-trigger topology without assuming an LLM, credential, or external service.
VectorSpaceLab/AREX-Skill
Work on the actively maintained LangChain v1 agent package: initchatmodel, createagent, structured output, tools, middleware, embeddings initialization, provider routing, and agent runtime…
VectorSpaceLab/AREX-Skill
A skill your agent uses for giskard.agents async chat workflows, tools, prompt templates, structured outputs, retries, rate limiting, embeddings, and optional LiteLLM backend.
VectorSpaceLab/AREX-Skill
A skill your agent uses for AlphaFold 3 input preparation, prediction command planning, output interpretation, and Python API inspection.
Works with
Categories
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…. Browser Use is an agent skill from VectorSpaceLab/AREX-Skill. 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.
Browser Use fits situations like: tasks that involve Browser automation.
Run `npx skills add VectorSpaceLab/AREX-Skill --skill browser-use -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/browser-use in VectorSpaceLab/AREX-Skill) into .claude/skills/browser-use in your project. Claude Code loads it when a task matches its description.
Run `npx skills add VectorSpaceLab/AREX-Skill --skill browser-use -a codex`. Or copy the skill folder (skills/repositories/repo-skills/browser-use in VectorSpaceLab/AREX-Skill) into .agents/skills/browser-use in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add VectorSpaceLab/AREX-Skill --skill browser-use -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/browser-use, .gemini/skills/browser-use, .github/skills/browser-use and .opencode/skills/browser-use in your project.
Going by SKILL.md and its folder, Browser Use needs Python for the scripts in its folder, the command-line tools its instructions call (uv, uvx and python) and credentials named BROWSER_USE_API_KEY. Our summary lists: Python 3; A credential in BROWSER_USE_API_KEY.
SKILL.md contains no URLs. Its commands use uv and uvx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Browser Use is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.5k tokens (SKILL.md is roughly 5.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Browser Use: Skyvern Browser Automation (Skyvern-AI/skyvern, 23k stars), Browser MCP Agent (antibrow/anti-detect-browser-skills, 932 stars), Anti Detect Browser (antibrow/anti-detect-browser-skills, 932 stars) and Next Dev Loop (vercel/next.js, 143k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 328 GitHub stars. The repository holds 157 skills in this directory. The repository was last updated on September 3, 2026.
Source: VectorSpaceLab/AREX-Skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.