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openclaw-agent-browserOpenClaw Agent 浏览器

Agent Skill

openclaw-agent-browser 用于处理浏览器自动化、网页检查和页面信息提取,适合在 OpenClaw 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

282,426

周安装

11,425

GitHub Stars

2

下载量

88,658
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:openclaw-agent-browser(OpenClaw Agent 浏览器)
来源仓库:https://github.com/bodietron/openclaw-agent-browser
安装命令:
openclaw skills install openclaw-agent-browser
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install openclaw-agent-browser

简介

openclaw-agent-browser 提供无头浏览器自动化 CLI 能力。

  • 适用于导航页面、填写表单、点击按钮与截取截图等网页交互。
  • 适合 AI 代理执行前端验证与信息提取任务。
  • 安装前需确认权限范围与维护状态,可能涉及网络访问与文件存储。
  • 建议结合来源仓库和原始 README 核验浏览器环境与隐私策略。

SKILL.md

name
agent-browser
description
Headless browser automation CLI for AI agents. Use when interacting with websites — navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, scraping, testing web apps, downloading files, or automating any browser task. Triggers on requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data", "test this web app", "login to a site", "monitor a page", or any task requiring programmatic web interaction.

Browser Automation with agent-browser

Setup

Run scripts/setup.sh to install agent-browser and Chromium. Requires Node.js.

Core Workflow

Every browser automation follows this pattern:

  1. Navigate: agent-browser open <url>
  2. Snapshot: agent-browser snapshot -i (get element refs like @e1, @e2)
  3. Interact: Use refs to click, fill, select
  4. Re-snapshot: After navigation or DOM changes, get fresh refs
agent-browser open https://example.com/form
agent-browser snapshot -i
# Output: @e1 [input type="email"], @e2 [input type="password"], @e3 [button] "Submit"

agent-browser fill @e1 "user@example.com"
agent-browser fill @e2 "password123"
agent-browser click @e3
agent-browser wait --load networkidle
agent-browser snapshot -i  # Check result

Command Chaining

Chain with && when you don't need intermediate output:

agent-browser open https://example.com && agent-browser wait --load networkidle && agent-browser snapshot -i

Run separately when you need to parse output first (e.g., snapshot to discover refs).

Essential Commands

# Navigate
agent-browser open <url>
agent-browser close

# See the page (always do this first)
agent-browser snapshot -i              # Interactive elements with refs
agent-browser snapshot -i -C           # Include onclick divs

# Interact using @refs
agent-browser click @e1
agent-browser fill @e2 "text"
agent-browser select @e1 "option"
agent-browser press Enter
agent-browser scroll down 500

# Get info
agent-browser get text @e1
agent-browser get url
agent-browser get title

# Wait
agent-browser wait @e1                 # For element
agent-browser wait --load networkidle  # For network idle

# Capture
agent-browser screenshot page.png
agent-browser screenshot --full        # Full page
agent-browser pdf output.pdf

For the full command reference, see references/commands.md.

Ref Lifecycle (Important)

Refs (@e1, @e2) are invalidated when the page changes. Always re-snapshot after:

  • Clicking links/buttons that navigate
  • Form submissions
  • Dynamic content loading (dropdowns, modals)

Common Patterns

Form Submission

agent-browser open https://example.com/signup
agent-browser snapshot -i
agent-browser fill @e1 "Jane Doe"
agent-browser fill @e2 "jane@example.com"
agent-browser select @e3 "California"
agent-browser click @e5
agent-browser wait --load networkidle

Login with State Persistence

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

# Reuse later
agent-browser state load auth.json
agent-browser open https://app.example.com/dashboard

Data Extraction

agent-browser open https://example.com/products
agent-browser snapshot -i
agent-browser get text @e5
agent-browser get text body > page.txt

Screenshot & Diff

agent-browser screenshot baseline.png
# ... changes happen ...
agent-browser diff screenshot --baseline baseline.png

Parallel Sessions

agent-browser --session site1 open https://site-a.com
agent-browser --session site2 open https://site-b.com
agent-browser session list

Security (Optional)

export AGENT_BROWSER_CONTENT_BOUNDARIES=1          # Wrap output for AI safety
export AGENT_BROWSER_ALLOWED_DOMAINS="example.com"  # Domain allowlist
export AGENT_BROWSER_MAX_OUTPUT=50000               # Prevent context flooding

Cleanup

Always close sessions when done: agent-browser close

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

86.88%
按下载量换算77,026

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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