功能描述

A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured co...

使用说明 (SKILL.md)

Browser Automation with agent-browser

Name: Agent Browser Qw
Author: johnnyeisen

Installation

npm recommended

npm install -g agent-browser
agent-browser install
agent-browser install --with-deps

From Source

git clone https://github.com/vercel-labs/agent-browser
cd agent-browser
pnpm install
pnpm build
agent-browser install

Quick start

agent-browser open \x3Curl>        # Navigate to page
agent-browser snapshot -i       # Get interactive elements with refs
agent-browser click @e1         # Click element by ref
agent-browser fill @e2 "text"   # Fill input by ref
agent-browser close             # Close browser

Core workflow

Navigate: agent-browser open \x3Curl>
Snapshot: agent-browser snapshot -i (returns elements with refs like @e1, @e2)
Interact using refs from the snapshot
Re-snapshot after navigation or significant DOM changes

Commands

Navigation

agent-browser open \x3Curl>      # Navigate to URL
agent-browser back            # Go back
agent-browser forward         # Go forward
agent-browser reload          # Reload page
agent-browser close           # Close browser

Snapshot (page analysis)

agent-browser snapshot            # Full accessibility tree
agent-browser snapshot -i         # Interactive elements only (recommended)
agent-browser snapshot -c         # Compact output
agent-browser snapshot -d 3       # Limit depth to 3
agent-browser snapshot -s "#main" # Scope to CSS selector

Interactions (use @refs from snapshot)

agent-browser click @e1           # Click
agent-browser dblclick @e1        # Double-click
agent-browser focus @e1           # Focus element
agent-browser fill @e2 "text"     # Clear and type
agent-browser type @e2 "text"     # Type without clearing
agent-browser press Enter         # Press key
agent-browser press Control+a     # Key combination
agent-browser keydown Shift       # Hold key down
agent-browser keyup Shift         # Release key
agent-browser hover @e1           # Hover
agent-browser check @e1           # Check checkbox
agent-browser uncheck @e1         # Uncheck checkbox
agent-browser select @e1 "value"  # Select dropdown
agent-browser scroll down 500     # Scroll page
agent-browser scrollintoview @e1  # Scroll element into view
agent-browser drag @e1 @e2        # Drag and drop
agent-browser upload @e1 file.pdf # Upload files

Get information

agent-browser get text @e1        # Get element text
agent-browser get html @e1        # Get innerHTML
agent-browser get value @e1       # Get input value
agent-browser get attr @e1 href   # Get attribute
agent-browser get title           # Get page title
agent-browser get url             # Get current URL
agent-browser get count ".item"   # Count matching elements
agent-browser get box @e1         # Get bounding box

Check state

agent-browser is visible @e1      # Check if visible
agent-browser is enabled @e1      # Check if enabled
agent-browser is checked @e1      # Check if checked

Screenshots & PDF

agent-browser screenshot          # Screenshot to stdout
agent-browser screenshot path.png # Save to file
agent-browser screenshot --full   # Full page
agent-browser pdf output.pdf      # Save as PDF

Video recording

agent-browser record start ./demo.webm    # Start recording (uses current URL + state)
agent-browser click @e1                   # Perform actions
agent-browser record stop                 # Stop and save video
agent-browser record restart ./take2.webm # Stop current + start new recording

Recording creates a fresh context but preserves cookies/storage from your session. If no URL is provided, it automatically returns to your current page. For smooth demos, explore first, then start recording.

Wait

agent-browser wait @e1                     # Wait for element
agent-browser wait 2000                    # Wait milliseconds
agent-browser wait --text "Success"        # Wait for text
agent-browser wait --url "/dashboard"    # Wait for URL pattern
agent-browser wait --load networkidle      # Wait for network idle
agent-browser wait --fn "window.ready"     # Wait for JS condition

Mouse control

agent-browser mouse move 100 200      # Move mouse
agent-browser mouse down left         # Press button
agent-browser mouse up left           # Release button
agent-browser mouse wheel 100         # Scroll wheel

Semantic locators (alternative to refs)

agent-browser find role button click --name "Submit"
agent-browser find text "Sign In" click
agent-browser find label "Email" fill "[email protected]"
agent-browser find first ".item" click
agent-browser find nth 2 "a" text

Browser settings

agent-browser set viewport 1920 1080      # Set viewport size
agent-browser set device "iPhone 14"      # Emulate device
agent-browser set geo 37.7749 -122.4194   # Set geolocation
agent-browser set offline on              # Toggle offline mode
agent-browser set headers '{"X-Key":"v"}' # Extra HTTP headers
agent-browser set credentials user pass   # HTTP basic auth
agent-browser set media dark              # Emulate color scheme

Cookies & Storage

agent-browser cookies                     # Get all cookies
agent-browser cookies set name value      # Set cookie
agent-browser cookies clear               # Clear cookies
agent-browser storage local               # Get all localStorage
agent-browser storage local key           # Get specific key
agent-browser storage local set k v       # Set value
agent-browser storage local clear         # Clear all

Network

agent-browser network route \x3Curl>              # Intercept requests
agent-browser network route \x3Curl> --abort      # Block requests
agent-browser network route \x3Curl> --body '{}'  # Mock response
agent-browser network unroute [url]            # Remove routes
agent-browser network requests                 # View tracked requests
agent-browser network requests --filter api    # Filter requests

Tabs & Windows

agent-browser tab                 # List tabs
agent-browser tab new [url]       # New tab
agent-browser tab 2               # Switch to tab
agent-browser tab close           # Close tab
agent-browser window new          # New window

Frames

agent-browser frame "#iframe"     # Switch to iframe
agent-browser frame main          # Back to main frame

Dialogs

agent-browser dialog accept [text]  # Accept dialog
agent-browser dialog dismiss        # Dismiss dialog

JavaScript

agent-browser eval "document.title"   # Run JavaScript

State management

agent-browser state save auth.json    # Save session state
agent-browser state load auth.json    # Load saved state

Example: Form submission

agent-browser open https://example.com/form
agent-browser snapshot -i
# Output shows: textbox "Email" [ref=e1], textbox "Password" [ref=e2], button "Submit" [ref=e3]

agent-browser fill @e1 "[email protected]"
agent-browser fill @e2 "password123"
agent-browser click @e3
agent-browser wait --load networkidle
agent-browser snapshot -i  # Check result

Example: Authentication with saved state

# Login once
agent-browser open https://app.example.com/login
agent-browser snapshot -i
agent-browser fill @e1 "username"
agent-browser fill @e2 "password"
agent-browser click @e3
agent-browser wait --url "/dashboard"
agent-browser state save auth.json

# Later sessions: load saved state
agent-browser state load auth.json
agent-browser open https://app.example.com/dashboard

Sessions (parallel browsers)

agent-browser --session test1 open site-a.com
agent-browser --session test2 open site-b.com
agent-browser session list

JSON output (for parsing)

Add --json for machine-readable output:

agent-browser snapshot -i --json
agent-browser get text @e1 --json

Debugging

agent-browser open example.com --headed              # Show browser window
agent-browser console                                # View console messages
agent-browser console --clear                        # Clear console
agent-browser errors                                 # View page errors
agent-browser errors --clear                         # Clear errors
agent-browser highlight @e1                          # Highlight element
agent-browser trace start                            # Start recording trace
agent-browser trace stop trace.zip                   # Stop and save trace
agent-browser record start ./debug.webm              # Record from current page
agent-browser record stop                            # Save recording
agent-browser --cdp 9222 snapshot                    # Connect via CDP

Troubleshooting

If the command is not found on Linux ARM64, use the full path in the bin folder.
If an element is not found, use snapshot to find the correct ref.
If the page is not loaded, add a wait command after navigation.
Use --headed to see the browser window for debugging.

Options

--session \x3Cname> uses an isolated session.
--json provides JSON output.
--full takes a full page screenshot.
--headed shows the browser window.
--timeout sets the command timeout in milliseconds.
--cdp \x3Cport> connects via Chrome DevTools Protocol.

Notes

Refs are stable per page load but change on navigation.
Always snapshot after navigation to get new refs.
Use fill instead of type for input fields to ensure existing text is cleared.

Reporting Issues

Skill issues: Open an issue at https://github.com/TheSethRose/Agent-Browser-CLI
agent-browser CLI issues: Open an issue at https://github.com/vercel-labs/agent-browser

安全使用建议

This skill is coherent with its stated purpose but requires installing and running a third‑party CLI that can visit arbitrary sites, read/write local files, manage cookies/storage, and upload files. Before installing: (1) verify the upstream npm package and GitHub repo (confirm maintainer, recent releases, and audit the source); (2) avoid global installs on production machines — prefer a sandboxed environment or container; (3) restrict autonomous use of the skill or require explicit user confirmation for actions that visit internal URLs, upload local files, or access sensitive pages; (4) be cautious about the metadata mismatch (registry owner vs _meta.json ownerId) — ask the publisher for clarification. If you cannot review the upstream code or run in an isolated environment, treat this skill as higher risk.

功能分析

Type: OpenClaw Skill Name: agent-browser-qw Version: 1.0.0 The skill bundle provides a wrapper for the 'agent-browser' CLI, exposing high-risk capabilities in SKILL.md such as arbitrary JavaScript execution ('eval'), session state persistence ('state save'), and direct access to sensitive browser data including cookies and local storage. While these features are aligned with the stated purpose of browser automation, they represent a significant attack surface for data exfiltration and session hijacking if the AI agent is misdirected. The installation instructions also involve global npm installs and system-level dependency management, which are high-risk operations.

能力评估

ℹ Purpose & Capability

The name and SKILL.md describe a headless browser CLI and the manifest requires node/npm — that is coherent. However the package/source details are ambiguous (no homepage, 'Source: unknown') and the included _meta.json ownerId ('local-qw') does not match the registry owner ID, which is an inconsistency worth verifying.

ℹ Instruction Scope

SKILL.md instructs the agent to install and run an external CLI (npm install -g agent-browser or build from GitHub) and lists many commands that interact with arbitrary web pages, cookies, localStorage, uploads, screenshots, and recorded video. Those behaviors are expected for a browser automation tool, but they also give the agent the ability to read/write local files and to interact with arbitrary URLs — a potential vector for unintended data access or exfiltration if the upstream CLI or commands are untrusted.

ℹ Install Mechanism

The skill is instruction-only (no install spec in manifest), which is lower risk on its own. SKILL.md recommends installing from npm or cloning a GitHub repo (vercel-labs/agent-browser). Installing third-party code via npm/git is normal but carries network-install risk — the manifest does not pin a specific trusted release or homepage, so verify the upstream package/repo before running global installs.

✓ Credentials

No environment variables, credentials, or config paths are requested in the manifest, which is proportional. Note: the CLI supports setting HTTP auth, headers, cookies, uploading files and reading local storage via commands — those capabilities can be used to supply or capture secrets at runtime even though they aren't declared as required env vars.

✓ Persistence & Privilege

The skill does not request always:true and does not ask to modify other skills or system-wide config. It allows agent invocation (default), which is normal. The main persistence/privilege concern is the ability to install/run a global npm package and read/write files during use — not an elevated platform privilege but a runtime safety consideration.

版本历史

v1.0.0

- Initial release of Agent Browser: a Rust-based CLI for headless browser automation with Node.js fallback. - Enables automation of web navigation, page interaction, data extraction, form filling, and UI testing via structured commands. - Includes commands for navigation, element interaction, screenshots, video recording, state management, network control, and more. - Supports semantic locators, advanced waiting, JavaScript evaluation, cookies/storage handling, multi-tab/window management, and mock network routes. - Detailed usage instructions and practical examples provided in documentation.

元数据

Slug agent-browser-qw

版本 1.0.0

许可证 MIT-0

累计安装 1

当前安装数 1

历史版本数 1

常见问题

Agent Browser Qw 是什么？

A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured co... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 299 次。

如何安装 Agent Browser Qw？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install agent-browser-qw」即可一键安装，无需额外配置。

Agent Browser Qw 是免费的吗？

是的，Agent Browser Qw 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。

Agent Browser Qw 支持哪些平台？

Agent Browser Qw 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。

谁开发了 Agent Browser Qw？

由 SHANGWENQIANG（@johnnyeisen）开发并维护，当前版本 v1.0.0。

Agent Browser Qw