据 AlphaMoat 统计,截至 2026-10,Agent Browser 累计下载 20,442 次、获 3 个星标,按累计下载量在本次参与排名的 10,914 个 AI 技能中排名第 1,378 位,在「AI 智能体」分类(1,632 个)中排名第 192 位。
列表默认按累计下载量排序,也可按星标排序;详情页排名按累计下载量计算。
| 平台 | 累计下载 | 星标 | 评论 |
|---|---|---|---|
| ClawHub ↗ | 1.9万 | 3 | - |
| SkillHub ↗ | 2.0万 | 3 | — |
各平台的计数口径不同,统计时间不一致。
该技能通过 agent-browser CLI 让代理导航网页、填写表单、点击按钮、截图、提取数据、抓取与测试 Web 应用。核心流程为打开页面、快照获取元素引用、按引用交互后重新快照。它支持登录状态保存、会话复用与可选的安全环境变量(内容边界、域名白名单、输出上限),安装需先运行 setup 脚本并具备 Node.js 环境。 浏览器操作依赖运行环境、权限和页面状态;先核对目标,在提交重要表单或更改账户前进行确认。
资料发布于 2026-10-27
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-10 | 2.0万 | — | 3 |
| 2026-09 | 1.9万 | — | 3 |
| 2026-08 | 1.8万 | +4.3% | 3 |
| 2026-07 | 1.8万 | — | 3 |
| 2026-05 | 1.3万 | — | 3 |
| 2026-03 | 6,528 | — | 2 |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
--- 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 ```bash 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 "[email protected]" 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: ```bash 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 ```bash # 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 ```bash agent-browser open https://example.com/signup agent-browser snapshot -i agent-browser fill @e1 "Jane Doe" agent-browser fill @e2 "[email protected]" agent-browser select @e3 "California" agent-browser click @e5 agent-browser wait --load networkidle ``` ### Login with State Persistence ```bash 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 ```bash 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 ```bash agent-browser screenshot baseline.png # ... changes happen ... agent-browser diff screenshot --baseline baseline.png ``` ### Parallel Sessions ```bash agent-browser --session site1 open https://site-a.com agent-browser --session site2 open https://site-b.com agent-browser session list ``` ## Security (Optional) ```bash 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`
把开发过程中的经验、错误与纠正记录为 Markdown 文件,供后续复用并晋升为工作区记忆。
用自然语言描述需求,在本地与远程技能市场里找技能并给出推荐的技能。
给 AI agent 用的浏览器自动化命令行技能。
把用户纠正与自我复盘沉淀成分层记忆、并按使用情况升降级的技能。
一份为 AI 代理规划主动跟进、工作记忆与复盘流程的工作区配置指南。
指导如何创建与更新有效 Claude 技能的写作指南。
在安装第三方技能之前,按清单审查来源、权限与危险模式的技能。
把盛唐诗人李白的诗学观、意象系统与口吻,蒸馏成 AI 可调用的角色包。
数据月份:2026-10 · 下载/星标数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。