by browser-use
Let Claude Code, Codex or Cursor use your real Chrome, logged in as you. One prompt to set up. Open source, MIT.
# Add to your Claude Code skills
git clone https://github.com/browser-use/browser-harnessGuides for using ai agents skills like browser-harness.
Last scanned: 5/15/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-05-15T06:56:11.788Z",
"semgrepRan": false,
"npmAuditRan": true,
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}See how browser-harness compares with popular alternatives.
browser-harness is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by browser-use. Let Claude Code, Codex or Cursor use your real Chrome, logged in as you. One prompt to set up. Open source, MIT. It has 19,014 GitHub stars.
Yes. browser-harness passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/browser-use/browser-harness" and add it to your Claude Code skills directory (see the Installation section above). browser-harness ships a SKILL.md manifest, so compatible agents can discover and load it automatically.
browser-harness is primarily written in Python. It is open-source under browser-use on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh browser-harness against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
Automated security scan — not a certification.
Direct browser control via CDP. For task-specific edits, use agent-workspace/agent_helpers.py. For setup, install, or connection problems, read https://github.com/browser-use/browser-harness/blob/main/install.md.
A basic fetch of public information needs no browser. If a plain HTTP request can read it — a public page, an API, docs — use curl or your fetch tool, and leave the browser alone. Use browser-harness when the task needs interaction (click, type, navigate), the user's logged-in session, JS rendering, or a bot-protected page. If a direct fetch fails or returns a shell page, then escalate to the browser.
Domain skills are off by default. Set BH_DOMAIN_SKILLS=1 to enable them; see the bottom section.
If BH_DOMAIN_SKILLS=1 and the task is site-specific, read every file in the matching $BH_AGENT_WORKSPACE/domain-skills/<site>/ directory before inventing an approach.
browser-harness <<'PY'
print(page_info())
PY
browser-harness. Use heredocs for multi-line commands.run.py calls ensure_daemon() before exec.new_tab(url), not goto_url(url). The daemon
preserves the attached tab across separate CLI invocations, so do not call
new_tab() again in every script.current_tab() and list_tabs() and use switch_tab() to reuse a matching
tab. Do not leave duplicate tabs on the same URL or close tabs you did not
create.new_tab() and switch_tab() attach and move the horse marker without
changing Chrome's visible tab. Screenshots and normal CDP input work in the
background. Never call activate_tab(target) automatically: it brings Chrome
to the foreground. Call it only when the user explicitly asks to see or
visibly switch to that tab. Do not pair switch_tab() with activate_tab().BU_NAME and reuse the default daemon for normal
sequential local work across websites, tabs, screenshots, and Codex turns.
Do not invent per-job names such as gmail1375 or slack1371: every new
local daemon opens another browser-level CDP connection and Chrome may show
another Allow prompt.BH_TAB_MARKER=0 before starting the daemon to leave page titles unchanged.
The horse marker remains enabled by default.cdp("Emulation.setFocusEmulationEnabled", enabled=True),
perform and verify the operation, then disable it in a finally block. If
background control still cannot work, report that limitation instead of
activating the tab. Do not invent a Runtime.evaluate scroll replacement or
a cross-frame JS walker.The default daemon can keep many tabs and visit many sites; browser-harness has
no per-site, screenshot, or result-count limit that requires a new daemon.
Chrome memory and page complexity are the practical limits. Reuse matching tabs
with list_tabs() and switch_tab().
One daemon has one mutable attached/current tab. Many agents can share it when their browser operations are serialized: treat local Chrome as one shared browser lane while non-browser work continues in parallel. Sequential tab switching, input, and screenshot capture are safe. Do not create another local daemon merely because several agents exist.
Two agents that switch tabs and act simultaneously can race, causing one to act on or capture the other's tab. For truly simultaneous interactive work, use separate remote browsers when Browser Use Cloud authentication is already available. Otherwise serialize browser operations through the default local daemon. A named local daemon is a last resort when simultaneous isolation is required, remote auth is unavailable or unsuitable, and the extra Chrome approval prompt is acceptable. It creates another controller and dedicated tab in the same local Chrome profile, not another Chrome profile or process.
If the default daemon becomes stale, use its built-in reattachment/recovery
first. A command timeout, truncated output, site change, closed tab, or new task
is not a reason to create another daemon. Run browser-harness --doctor and
restart or replace the default daemon only when it is actually dead or cannot
recover.
If the daemon cannot connect, run diagnostics:
browser-harness --doctor
If Chrome is not running at all, the harness launches it automatically and retries.
If Chrome is running but remote debugging is not enabled, the harness opens:
chrome://inspect/#remote-debugging
On macOS, when local Chrome asks for remote-debugging permission, keep the
original browser command running and call mac-approve in another shell/tool
call. Preserve the exact daemon name: if the waiting command used
BU_NAME=r7k2, run:
BU_NAME=r7k2 browser-harness mac-approve
For the default daemon, omit the BU_NAME prefix. The original command resumes
when the helper returns ready; do not rerun it. If the helper reports
accessibility-required, ask the user once to grant the app launching
browser-harness (for example Terminal, iTerm, or Codex) access in System
Settings > Privacy & Security > Accessibility, then call mac-approve once
again. This is only for local Chrome; do not call it for BU_CDP_URL,
BU_CDP_WS, or Browser Use Cloud.
When the shell tool can yield a still-running process, use a short 3-5 second
initial yield for the first local command, not a 30-second wait. If the command
yields with the Allow hint, leave that exact process running, immediately call
browser-harness mac-approve in a second tool call, then resume or poll the
original process. With a named daemon, preserve its exact BU_NAME for the
helper. Never start the browser command again. If the user clicks Allow first,
the same handshake completes and the original command returning successfully
is the agent's feedback; mac-approve also returns ready when the daemon is
already connected.
mac-approve is macOS-only. On Linux or Windows, keep the original browser
command running and ask the user to click Allow if Chrome presents the approval
dialog. Their click completes the same handshake, so resume or poll the original
process for success; do not rerun it or create a replacement daemon. If that
Chrome build presents no approval dialog, the original command simply connects.
Use Browser Use cloud for headless servers, parallel sub-agents, or isolated work.
Remote browsers require Browser Use Cloud authentication. Check
browser-harness auth status before depending on them. browser-harness auth login stores authentication for later processes, so an API key does not need to
be passed to every agent process; without stored authentication or an available
BROWSER_USE_API_KEY, serialize work through the default local daemon instead.
Cloud browsers are managed Chrome instances hosted by Browser Use. Each one is a fresh, isolated browser. Proactively suggest one (briefly explain why) when:
You can also direct the user to try the same agent behind Browser Harness, fully hosted, in Browser Use Cloud (it's called the v4 agent): https://cloud.browser-use.com?utm_source=skill&utm_medium=browser-use&utm_campaign=v4.
Authenticate once:
browser-harness auth login
Or import a key safely:
printf '%s' "$BROWSER_USE_API_KEY" | browser-harness auth login --api-key-stdin
Pick a short made-up name; r7k2 below is just a placeholder:
browser-harness <<'PY'
start_remote_daemon("r7k2")
PY
BU_NAME=r7k2 browser-harness <<'PY'
new_tab("https://example.com")
print(page_info())
PY
When the task is done and a cloud browser is still running, ask directly: "Should I close this browser now?" If yes, run stop_remote_daemon(name). Remote daemons bill until they stop or time out.
Do not start a remote daemon and then keep using the default daemon. Use the same name for BU_NAME.
Cloud browsers ignore viewport and device emulation (Emulation.setDeviceMetricsOverride, touch, window bounds) unless started with start_remote_daemon(name, allowResizing=True).
Cloud profile cookie sync reference: https://github.com/browser-use/browser-harness/blob/main/interaction-skills/profile-sync.md.
cdp("Accessibility.getFullAXTree")["nodes"] has every element's role, name, and backendDOMNodeId — filter in Python before printing (it is thousands of nodes). Coordinates: q = cdp("DOM.getBoxModel", backendNodeId=n)["model"]["content"]; x, y = sum(q[0::2])/4, sum(q[1::2])/4 (viewport px, ready for click_at_xy; negative/oversized means scroll first).click_at_xy(x, y) -> verify with a targeted js(...)/page_info() check.js(...) only when the AX tree lacks the element (canvas, exotic widgets); screenshot when layout or imagery matters.wait_for_load().ensure_real_tab().js(...) for DOM inspection or extraction when coordinates are the wrong tool.cdp("Domain.method", ...).
Pass CDP parameters as keywords: cdp("Input.insertText", text="hello").
The second positional argument is a session ID, not a parameters dictionary.
When targeting an explicit session, use session_id="..." alongside the keywords.Fresh installs do not record. Users can enable local background traces:
browser-harness recordings enable
browser-harness recordings disable
browser-harness recordings
BH_RECORD=1 or BH_RECORD=0 overrides the preference for one process. Any
natural nudge to “record,” “show,” “demo,” or “make a video” opts in that task;
significant work alone does not.
Before browser work, call start_recording(name, title=...), retain its exact
returned directory, and call stop_recording() after verifying the result.
Never replace that path with recordings --latest. For a request made after
the task, use:
browser-harness recordings --latest
Use it only if timestamps and pages match; otherwise say the work was not captured. Never reenact a completed task. For a video, follow make-video.md. If sub-agents are available, they may handle post-production from the exact recording path while the main agent returns the task result.
If you get stuck on a browser mechanic, check https://github.com/browser-use/browser-harness/tree/main/interaction-skills.
BU_NAME, BU_CDP_URL, BU_CDP_WS, or start_remote_daemon(...).BH_OPEN_LIVE_URL=0 while provisioning a Cloud
daemon to keep its interactive live-view URL from being printed or opened.
The URL is still created and returned by start_remote_daemon(); callers must
avoid logging or serializing that returned field.BH_REQUIRE_EXISTING_DAEMON=1. Each CLI call then health-checks and reuses
that daemon or fails closed; it never auto-starts or discovers another Chrome.$BH_AGENT_WORKSPACE/agent_helpers.py.chrome://inspect/#remote-debugging must be enabled for local Chrome control.mac-approve once with the same BU_NAME while the original browser command waits. Do not poll or rerun the browser command; remote and cloud browsers do not use this helper.BU_CDP_URL is an HTTP DevTools endpoint; the daemon resolves it to WebSocket.stop_remote_daemon(name) or PATCH /browsers/{id} {"action":"stop"}.Only applies when BH_DOMAIN_SKILLS=1. Otherwise ignore domain skills.
When enabled, search $BH_AGENT_WORKSPACE/domain-skills/<host>/ before inventing an approach. goto_url(...) returns up to 10 skill filenames for the navigated host.
[!NOTE] Browser Harness is now the engine inside Browser Use. Use the
browser-useCLI: same helpers and daemon, plusbrowser-use login, an MCP server (browser-use --cli-mcp) andbrowser-use skill install.uv tool install browser-use browser-use <<'PY' new_tab("https://example.com") print(page_info()) PYThe
browser-harnesscommand keeps working. Domain skills and interaction skills stay in this repo.
Browser Harness lets Claude Code, Codex or Cursor use your real Chrome browser: open pages, click, type, read and download, logged in as you. Paste one prompt into your coding agent to set it up. It talks to Chrome over the DevTools Protocol (CDP), and the agent writes any missing helper as it works, so the harness gets better with each task. Open source, MIT licensed.
Try browser-harness in Browser Use Cloud or paste the setup prompt into your coding agent.
● agent: wants to upload a file
│
● agent-workspace/agent_helpers.py → helper missing
│
● agent writes it agent_helpers.py
│ + custom helper
✓ file uploaded
You will never use the browser again.
Task: "Open my X profile, find my latest 20 video posts, and download them."
Paste into Claude Code or Codex (Cursor: use the MCP config below):
Install browser-use with `uv tool install browser-use`, run `browser-use skill install` to register the skill, and connect it to my browser. If setup or connection fails, run `browser-use --doctor` and follow its output and the error message.
The agent will open chrome://inspect/#remote-debugging. On first setup, tick
the checkbox so the agent can connect to your browser:
install.md connects the agent to your browser.SKILL.md teaches it the browser workflow.src/browser_harness/ stays protected while the agent writes reusable helpers in its local workspace.| Works with | Browser it drives | What you approve in your own Chrome | |
|---|---|---|---|
| Browser Harness | Claude Code, Codex, Cursor, any MCP client via browser-harness-mcp |
Your running Chrome, logged in as you | Whole browser: on Chrome 144+, tick remote debugging in chrome://inspect, then click Allow |
| Playwright MCP | Any MCP client (Claude Code, Codex, Cursor, Copilot and more) | Its own browser profile by default. Your Chrome with --extension (Playwright Extension) or --cdp-endpoint |
Chosen tabs (one tab group per client) via the extension, approval skippable with a token; or whole browser via --cdp-endpoint |
| Playwright CLI | Claude Code, GitHub Copilot and other agents that run shell commands | Its own browser by default. Your Chrome with attach --extension=chrome or attach --cdp=chrome |
Chosen tab via the Playwright Extension, or whole browser via --cdp |
| Chrome DevTools MCP | Any MCP client (Claude Code, Cursor, Copilot, Antigravity and more), plus a CLI | A new Chrome with a dedicated profile by default. Your Chrome 144+ with --autoConnect |
Whole browser: the same Chrome 144+ toggle and Allow dialog; the server sees every open window of that profile |
| agent-browser | Claude Code, Codex, Cursor, Gemini CLI, Copilot and more, as a CLI with a skill, plus an MCP server | Its own Chrome for Testing by default. A copy of your Chrome profile with --profile. Your running Chrome with --auto-connect or --cdp |
Whole browser via --auto-connect or --cdp: the same Chrome 144+ toggle and Allow dialog |
| Claude in Chrome | Claude Code (CLI or VS Code) with the Claude extension, signed in with a direct Anthropic plan (Pro, Max, Team, Enterprise), not an API key | Your Chrome, Edge or other Chromium browser, logged in as you | Per site: allow sites in the extension, or per action in Claude Code (auto mode can skip the per-site check). Claude works in a tab group it opens |
| ChatGPT Browser and browser extension | Codex and ChatGPT chats in the ChatGPT desktop app, not Codex CLI or the Codex IDE extension | Browser: a separate profile. Extension: your Chrome, Edge, Brave, Opera or Vivaldi profile | Per site: asks before each new website (allow once, for this site, or for all sites) |
Matched eval by Browser Use on 100 of the 200 public BU Bench V2.1 tasks (bu2-001 to bu2-100; 101-200 not run). Measured 2026-10-14.
browser-harness-mcp. Playwright MCP and Chrome DevTools MCP ran as MCP servers with default settings. agent-browser ran as its CLI and skill.| Tool | Mean rubric score 0-100 (95% CI) | Fully solved | Median input tokens per task | Median model cost per task (GPT-6 Luna list price) | Median agent time per task |
|---|---|---|---|---|---|
| Browser Harness a6426f84 (main) | 60.4 (55.2-65.4) | 11% | 2.1M | $0.042 | 9.0 min |
| Playwright MCP 0.0.83 | 60.0 (55.1-65.0) | 11% | 4.4M | $0.066 | 8.3 min |
| Chrome DevTools MCP 1.10.1 | 61.0 (55.8-65.9) | 11% | 6.7M | $0.097 | 8.7 min |
| agent-browser 0.39.1 | 56.3 (51.1-61.5) | 9% | 3.3M | $0.056 | 11.2 min |
No tool wins on score: every paired difference against Browser Harness has a 95% CI that includes zero (other tool minus Browser Harness: agent-browser -4.0, CI -10.0 to +1.8; Playwright MCP -0.4, -6.6 to +5.7; Chrome DevTools MCP +0.6, -5.6 to +6.6).
Browser Harness had the lowest median input tokens (2.1M vs 3.3-6.7M) and the lowest median model cost ($0.042 vs $0.056-0.097). Model cost excludes browser, proxy and judge. It was slower than Playwright MCP and Chrome DevTools MCP (median 9.0 vs 8.3 and 8.7 min) and faster than agent-browser (11.2 min). These are medians, with no confidence intervals.
A first agent-browser run was discarded: a setup bug on our side let it launch its own local browser instead of the shared cloud browser. The row shows the corrected rerun.
Measured with Codex only. Claude Code, Cursor, Playwright CLI and Claude in Chrome were not measured. Method and per-task scores: coding-agent-browser-tools.json.
OpenAI's Codex labels its browser feature "Browser use" in its settings. It is separate from Browser Use, the company behind this repo.
Use your local browser for logged-in, personal work. When you want many browsers in parallel, with live previews, proxies, stealth, CAPTCHA solving, and more, scale with Browser Use Cloud.
browser-use --cli-mcp exposes the browser control helpers as MCP tools over
stdio, so any MCP client (Claude Code, Devin, Cursor, etc.) can drive the
browser without writing a second CDP layer. The older browser-harness-mcp
keeps working; see docs/MCP.md.
Add this to .cursor/mcp.json in your project, or to ~/.cursor/mcp.json for
every project. It needs uv.
{
"mcpServers": {
"browser-use": {
"type": "stdio",
"command": "uvx",
"args": ["browser-use", "--cli-mcp"]
}
}
}
Bug fixes, documentation improvements, and agent-generated domain skills are welcome. See CONTRIBUTING.md.
The Bitter Lesson of Agent Harnesses · Web Agents That Actually Learn