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Agent Skill · 研究检索

browser-automation(浏览器自动化)

browser-automation 用于处理浏览器自动化、网页检查和页面信息提取,适合在 Codex、Claude、Cursor、Gemini CLI 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。

browser-automation 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 2,673。

总安装 56,448周安装 2,398GitHub Stars 178下载 19,776核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:browser-automation(浏览器自动化)
来源仓库:https://github.com/web-infra-dev/midscene-skills
仓库路径:skills/browser-automation
安装命令:
npx skills add https://github.com/web-infra-dev/midscene-skills --skill browser-automation
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/web-infra-dev/midscene-skills --skill browser-automation

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

来自屏幕截图的视觉驱动浏览器自动化,无需 DOM 访问。

在无头 Puppeteer 浏览器中运行,该浏览器在 CLI 调用中持续存在,允许顺序命令而不会丢失会话 使用自然语言提示与所有可见的页面元素进行交互;无需 CSS 选择器或辅助功能标签 需要通过环境变量配置具有视觉功能的模型(Gemini、Qwen、Doubao 或类似模型)以实现视觉基础 支持connect、take_screenshot、act(执行操作)、disconnect、close命令;在决定下一步之前遵循同步工作流程模式来阅读屏幕截图

来源仓库内路径:skills/browser-automation

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/web-infra-dev/midscene-skills --skill browser-…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

browser-automation 怎么安装?

在终端执行 npx skills add https://github.com/web-infra-dev/midscene-skills --skill browser-automation。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

browser-automation 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

browser-automation 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

browser-automation 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

browser-automation 用的人多吗?

公开数据是累计安装 56,448 次,近一周安装 2,398 次,下载 19,776 次,GitHub 178 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

browser-automation 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
browser-automation

浏览器自动化 · 本页

56,448178接触敏感数据未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Browser Automation

CRITICAL RULES — VIOLATIONS WILL BREAK THE WORKFLOW: 1. Never run midscene commands in the background. Each command must run synchronously so you can read its output (especially screenshots) before deciding the next action. Background execution breaks the screenshot-analyze-act loop. 2. Run only one midscene command at a time. Wait for the previous command to finish, read the screenshot, then decide the next action. Never chain multiple commands together. 3. Allow enough time for each command to complete. Midscene commands involve AI inference and screen interaction, which can take longer than typical shell commands. A typical command needs about 1 minute; complex act commands may need even longer. 4. Always report task results before finishing. After completing the automation task, you MUST proactively summarize the results to the user — including key data found, actions completed, screenshots taken, and any relevant findings. Never silently end after the last automation step; the user expects a complete response in a single interaction.

Automate web browsing using npx -y @midscene/web@1. By default, launches a headless Chrome via Puppeteer that persists across CLI calls — no session loss between commands. Also supports CDP mode and Bridge mode to connect to an existing Chrome browser. Each CLI command maps directly to an MCP tool — you (the AI agent) act as the brain, deciding which actions to take based on screenshots.

What act Can Do

Inside a single act call in the browser, Midscene can click, right-click, double-click, hover, type or clear text, press keys, scroll, drag, long-press, and continue through multi-step page flows based on what is currently visible. When touch input is enabled, it can also handle swipe- or pinch-style interactions on touch-oriented pages.

When to Use

This skill has three modes. Choose based on the user's intent:

Mode Selection Guide

ModeWhen to useHow it works
Puppeteer (default)User wants to browse a URL, scrape data, test UI — no need for their own browserLaunches a new headless Chrome, isolated from user's browser
CDP modeUser says "connect to my Chrome", "control my browser", "CDP", "remote debugging", or wants to operate their existing browser. Also use when the task implicitly requires login state (e.g., "check my orders", "open my dashboard", "look at my account")Connects to user's Chrome via DevTools Protocol. Requires remote debugging enabled (chrome://inspect > "Allow remote debugging"). No extension needed
Bridge modeUser explicitly mentions "bridge", "extension", or has Midscene Chrome Extension installed and prefers to use itConnects to user's Chrome via the Midscene Chrome Extension

CDP vs Bridge: Both control the user's real Chrome with login sessions preserved. CDP only needs a Chrome setting toggle; Bridge needs a Chrome Extension installed. If the user doesn't specify, prefer CDP mode as it has fewer prerequisites.

Precheck: detect available connection modes

Before using CDP or Bridge mode, run a quick precheck to verify the target is reachable. This avoids long timeouts when the user hasn't enabled remote debugging or installed the extension.

# CDP precheck (port 9222, 2s timeout) — returns "101" if available
curl -s --max-time 2 -o /dev/null -w "%{http_code}" -H "Upgrade: websocket" -H "Connection: Upgrade" -H "Sec-WebSocket-Version: 13" -H "Sec-WebSocket-Key: dGhlIHNhbXBsZSBub25jZQ==" http://127.0.0.1:9222/devtools/browser

# Bridge precheck (port 3766, 2s timeout) — returns "200" or "400" if extension is listening
curl -s --max-time 2 -o /dev/null -w "%{http_code}" http://127.0.0.1:3766/socket.io/?EIO=4&transport=polling

How to use precheck results:

  • CDP returns 101 → CDP mode is available, use --cdp
  • Bridge returns 200 or 400 → Bridge extension is listening, use --bridge
  • Both fail → Chrome may not be running. Try opening Chrome using a shell command appropriate for the current platform, wait 2-3 seconds, then re-run the precheck. If it still fails, fall back to Puppeteer mode or ask the user to check their Chrome settings.
  • Both available and user didn't specify → prefer CDP

Prerequisites

Midscene requires models with strong visual grounding capabilities. The following environment variables must be configured — either as system environment variables or in a .env file in the current working directory (Midscene loads .env automatically):

MIDSCENE_MODEL_API_KEY="your-api-key"
MIDSCENE_MODEL_NAME="model-name"
MIDSCENE_MODEL_BASE_URL="https://..."
MIDSCENE_MODEL_FAMILY="family-identifier"

Example: Gemini (Gemini-3-Flash)

MIDSCENE_MODEL_API_KEY="your-google-api-key"
MIDSCENE_MODEL_NAME="gemini-3-flash"
MIDSCENE_MODEL_BASE_URL="https://generativelanguage.googleapis.com/v1beta/openai/"
MIDSCENE_MODEL_FAMILY="gemini"

Example: Qwen 3.5

MIDSCENE_MODEL_API_KEY="your-aliyun-api-key"
MIDSCENE_MODEL_NAME="qwen3.5-plus"
MIDSCENE_MODEL_BASE_URL="https://dashscope.aliyuncs.com/compatible-mode/v1"
MIDSCENE_MODEL_FAMILY="qwen3.5"
MIDSCENE_MODEL_REASONING_ENABLED="false"
# If using OpenRouter, set:
# MIDSCENE_MODEL_API_KEY="your-openrouter-api-key"
# MIDSCENE_MODEL_NAME="qwen/qwen3.5-plus"
# MIDSCENE_MODEL_BASE_URL="https://openrouter.ai/api/v1"

Example: Doubao Seed 2.0 Lite

MIDSCENE_MODEL_API_KEY="your-doubao-api-key"
MIDSCENE_MODEL_NAME="doubao-seed-2-0-lite"
MIDSCENE_MODEL_BASE_URL="https://ark.cn-beijing.volces.com/api/v3"
MIDSCENE_MODEL_FAMILY="doubao-seed"

Commonly used models: Doubao Seed 2.0 Lite, Qwen 3.5, Zhipu GLM-4.6V, Gemini-3-Pro, Gemini-3-Flash.

If the model is not configured, ask the user to set it up. See Model Configuration for supported providers.

CDP Mode (Connect to Existing Browser)

Use CDP mode to control the user's existing Chrome browser. The default CDP endpoint is ws://127.0.0.1:9222/devtools/browser (port 9222 is Chrome's standard remote debugging port). If the user specifies a different port, replace 9222 accordingly.

Add --cdp <ws-endpoint> to every command:

npx -y @midscene/web@1 connect --cdp ws://127.0.0.1:9222/devtools/browser --url https://example.com
npx -y @midscene/web@1 act --cdp ws://127.0.0.1:9222/devtools/browser --prompt "click the button"
npx -y @midscene/web@1 take_screenshot --cdp ws://127.0.0.1:9222/devtools/browser
npx -y @midscene/web@1 disconnect --cdp ws://127.0.0.1:9222/devtools/browser

Important notes for CDP mode

  • The browser is managed externally — disconnect releases the connection but does NOT close the browser. There is no close command in CDP mode.
  • In CDP mode, connect --url navigates the existing active tab instead of opening a new tab.
  • connect without --url attaches to the current active tab without navigating.
  • If connection fails, ask the user to enable remote debugging: open chrome://inspect in Chrome and turn on "Allow remote debugging".

Bridge Mode (Connect via Chrome Extension)

Use Bridge mode when the user explicitly mentions "bridge", "extension", or has the Midscene Chrome Extension installed. Add --bridge to every command:

npx -y @midscene/web@1 --bridge connect --url https://example.com
npx -y @midscene/web@1 --bridge act --prompt "click the button"
npx -y @midscene/web@1 --bridge take_screenshot
npx -y @midscene/web@1 --bridge disconnect

Important notes for Bridge mode

Commands

Connect to a Web Page

npx -y @midscene/web@1 connect --url https://example.com

Take Screenshot

npx -y @midscene/web@1 take_screenshot

After taking a screenshot, read the saved image file to understand the current page state before deciding the next action.

Perform Action

Use act to interact with the page and get the result. It autonomously handles all UI interactions internally — clicking, typing, scrolling, hovering, waiting, and navigating — so you should give it complex, high-level tasks as a whole rather than breaking them into small steps. Describe what you want to do and the desired effect in natural language:

# specific instructions
npx -y @midscene/web@1 act --prompt "click the Login button and fill in the email field with 'user@example.com'"
npx -y @midscene/web@1 act --prompt "scroll down and click the Submit button"

# or target-driven instructions
npx -y @midscene/web@1 act --prompt "click the country dropdown and select Japan"

Assert Current Page State

Use assert to verify that the current page satisfies a natural language condition. It does not perform UI actions; it checks the visible page state and passes only when the assertion is true. Use this for validation, QA checks, and final state verification after act.

npx -y @midscene/web@1 assert --prompt "there is a login button visible"
npx -y @midscene/web@1 assert --prompt "the checkout page shows the order total and a Pay button"

In CDP or Bridge mode, pass the same connection flags you use for other commands:

npx -y @midscene/web@1 assert --cdp ws://127.0.0.1:9222/devtools/browser --prompt "the dashboard is loaded"
npx -y @midscene/web@1 --bridge assert --prompt "the profile page shows the user's avatar"

Use a Reference Image for Precise Targeting

When the user provides a screenshot, icon, logo, or reference image and wants an exact visual match, prefer tap --locate instead of a generic act --prompt. Pass --locate as JSON. The prompt describes the target, images supplies named reference images, and convertHttpImage2Base64: true is useful when the image URL may not be directly accessible to the model.

npx -y @midscene/web@1 tap --locate '{
  "prompt": "tap the area contains the image",
  "images": [
    {
      "name": "target image",
      "url": "https://github.githubassets.com/assets/GitHub-Mark-ea2971cee799.png"
    }
  ],
  "convertHttpImage2Base64": true
}'

The same locate JSON shape also works for other commands that accept a locate parameter.

Disconnect

Disconnect from the page but keep the browser running:

npx -y @midscene/web@1 disconnect

Close Browser

Close the browser completely when finished (Puppeteer mode only):

npx -y @midscene/web@1 close

Consume Report Files

The generated HTML report is recommended for human reading first. It includes step-by-step execution details and replay videos for each operation, which makes it much easier to understand what happened and troubleshoot problems.

If another skill or tool needs to consume the report, first convert it with report-tool from the same platform CLI package. Prefer Markdown for LLM-based workflows. Use JSON when the report needs to be processed programmatically.

npx -y @midscene/web@1 report-tool --action to-markdown --htmlPath ./midscene_run/report/.../index.html --outputDir ./output-markdown
npx -y @midscene/web@1 report-tool --action split --htmlPath ./midscene_run/report/.../index.html --outputDir ./output-data

Workflow Pattern

The browser persists across CLI calls via a background Chrome process. Follow this pattern:

  1. Connect to a URL to open a new tab
  2. Take screenshot to see the current state, make sure the page is loaded.
  3. Execute action using act to perform the desired action or target-driven instructions, and use assert when you need to verify the resulting page state.
  4. Close the browser when done (or disconnect to keep it for later)
  5. Report results — summarize what was accomplished, present key findings and data extracted during the task, and list any generated files (screenshots, logs, etc.) with their paths

Best Practices

  1. Always connect first: Navigate to the target URL with connect --url before any interaction.
  2. Be specific about UI elements: Instead of "the button", say "the blue Submit button in the contact form".
  3. Use natural language: Describe what you see on the page, not CSS selectors. Say "the red Buy Now button" instead of "#buy-btn".
  4. Handle loading states: After navigation or actions that trigger page loads, take a screenshot to verify the page has loaded.
  5. Close when done: Use close to shut down the browser and free resources.
  6. Never run in background: Every midscene command must run synchronously — background execution breaks the screenshot-analyze-act loop.
  7. Batch related operations into a single act command: When performing consecutive operations within the same page, combine them into one act prompt instead of splitting them into separate commands. For example, "fill in the email and password fields, then click the Login button" should be a single act call, not three. This reduces round-trips, avoids unnecessary screenshot-analyze cycles, and is significantly faster.
  8. Use assert for verification: When the goal is to confirm that a page state is true, use assert --prompt "..." instead of an act prompt. Keep assertions observable and specific, such as "the success toast is visible" or "the cart total is $42.00".
  9. Always report results after completion: After finishing the automation task, you MUST proactively present the results to the user without waiting for them to ask. This includes: (1) the answer to the user's original question or the outcome of the requested task, (2) key data extracted or observed during execution, (3) screenshots and other generated files with their paths, (4) a brief summary of steps taken. Do NOT silently finish after the last automation command — the user expects complete results in a single interaction.
  10. Prefer tap --locate when a reference image is provided: If the user shares a screenshot, icon, or logo and wants that exact visual target, use tap --locate with a multimodal locate JSON object such as {"prompt": "...", "images": [...]} instead of relying only on act --prompt.

Example — Dropdown selection:

npx -y @midscene/web@1 act --prompt "click the country dropdown and select Japan"
npx -y @midscene/web@1 take_screenshot

Example — Form interaction:

npx -y @midscene/web@1 act --prompt "fill in the email field with 'user@example.com' and the password field with 'pass123', then click the Log In button"
npx -y @midscene/web@1 take_screenshot

Troubleshooting

Connection Failures

  • Ensure Chrome/Chromium is installed on the system (Puppeteer downloads its own by default).
  • Check that no firewall blocks local Chrome debugging ports.

API Key Errors

  • Check .env file contains MIDSCENE_MODEL_API_KEY=<your-key>.
  • Verify the key is valid for the configured model provider.

Timeouts

  • Web pages may take time to load. After connecting, take a screenshot to verify readiness before interacting.
  • For slow pages, wait briefly between steps.

@midscene/* Dependency Version Outdated

  • Check local versions: npm ls @midscene/web @midscene/core @midscene/shared (or pnpm why @midscene/web).
  • Check latest versions: npm view @midscene/web version, npm view @midscene/core version, npm view @midscene/shared version.
  • Upgrade dependencies: npm i @midscene/web@latest @midscene/core@latest @midscene/shared@latest.

Screenshots Not Displaying

  • The screenshot path is an absolute path to a local file. Use the Read tool to view it.

适合场景

01

调用多模型

02

代码和文本生成

03

Agent 推理流程

04

OpenRouter 模型接入

能力概览

能力 1

统一调用多种 LLM

能力 2

支持 Claude、Gemini、Kimi 等模型

能力 3

适合聊天、代码和推理任务

能力 4

可作为 Agent 模型调用入口

平台分布

Codex

32.67%
按下载量换算6,461

Claude

29.93%
按下载量换算5,919

Cursor

19.45%
按下载量换算3,846

Gemini CLI

9.83%
按下载量换算1,944

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

未通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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