Token导航 LogoToken导航

Agent Skill · 开发

go-playwright(GO Playwright 测试)

用于辅助测试设计、自动化测试、用例整理和回归验证。它适合让 Agent 编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需要确认项目测试框架、运行命令和夹具数据,避免为了通过测试而改坏真实逻辑;涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。

go-playwright 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证信息还不明确,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 11,302。

总安装 1,842周安装 76GitHub Stars 35,737下载 602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:go-playwright(GO Playwright 测试)
来源仓库:https://github.com/sickn33/antigravity-awesome-skills
仓库路径:skills/go-playwright
安装命令:
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill go-playwright
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/sickn33/antigravity-awesome-skills --skill go-playwright

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

用于辅助测试设计、自动化测试和回归验证,支持端到端用例编写。适合在单元测试、失败日志分析和测试计划制定等场景中使用。需确认项目测试框架和运行命令,避免破坏真实逻辑。涉及浏览器或外部服务时应区分本地模拟与生产环境。安装前建议确认来源仓库维护状态和权限范围。

go-playwright 属于开发类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/go-playwright

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/sickn33/antigravity-awesome-skills --skill go-…;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

    它需要操作浏览器,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

go-playwright 怎么安装?

在终端执行 npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill go-playwright。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

go-playwright 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。

go-playwright 需要什么权限?

权限级别是操作浏览器。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。

go-playwright 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。

go-playwright 用的人多吗?

公开数据是累计安装 1,842 次,近一周安装 76 次,下载 602 次,GitHub 35,737 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。

go-playwright 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。
  • 来源仓库有 35,737 星,维护活跃度相对可查。

先想清楚的地方

  • 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。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 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。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
go-playwright

GO Playwright 测试 · 本页

1,84235,737操作浏览器未明确有提醒

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

Playwright Go Automation Expert

Overview

This skill provides a comprehensive framework for writing high-performance, production-grade browser automation scripts using github.com/playwright-community/playwright-go. It enforces architectural best practices (contexts over instances), robust error handling, structured logging (Zap), and advanced human-emulation techniques to bypass anti-bot systems.

When to Use This Skill

  • Use when the user asks to "scrape," "automate," or "test" a website using Go.
  • Use when the target site has complex dynamic content (SPA, React, Vue) requiring a real browser.
  • Use when the user mentions "stealth," "avoiding detection," "cloudflare," or "human-like" behavior.
  • Use when debugging existing Playwright scripts.

Safety & Risk

Risk Level: 🔵 Safe

  • Sandboxed Execution: Browser contexts are isolated; they do not persist data to the host machine unless explicitly saved.
  • Resource Management: Designed to close browsers and contexts via defer to prevent memory leaks.
  • No External State-Change: Default behavior is read-only (scraping/testing) unless the script is explicitly designed to submit forms or modify data.

Limitations

  • Environment Dependencies: Requires Playwright drivers and browsers to be installed (go run github.com/playwright-community/playwright-go/cmd/playwright@latest install --with-deps).
  • Resource Intensity: Launching full browser instances (even headless) consumes significant RAM/CPU. Use single-browser/multi-context architecture.
  • Bot Detection: While this skill includes stealth techniques, extremely strict anti-bot systems (e.g., rigorous Cloudflare settings) may still detect automation.
  • CAPTCHAs: Does not include built-in CAPTCHA solving capabilities.

Strategic Implementation Guidelines

1. Architecture: Contexts vs. Browsers

CRITICAL: Never launch a new Browser instance for every task.

  • Pattern: Launch the Browser *once* (singleton). Create a new BrowserContext for each distinct session or task.
  • Why: Contexts are lightweight and created in milliseconds. Browsers take seconds to launch.
  • Isolation: Contexts provide complete isolation (cookies, cache, storage) without the overhead of a new process.

2. Logging & Observability

  • Library: Use go.uber.org/zap exclusively.
  • Rule: Do not use fmt.Println.
  • Modes:

- Dev: zap.NewDevelopment() (Console friendly) - Prod: zap.NewProduction() (JSON structured)

  • Traceability: Log every navigation, click, and input with context fields (e.g., logger.Info("clicking button", zap.String("selector", sel))).

3. Error Handling & Stability

  • Graceful Shutdown: Always use defer to close Pages, Contexts, and Browsers.
  • Panic Recovery: Wrap critical automation routines in a safe runner that recovers panics and logs the stack trace.
  • Timeouts: Never rely on default timeouts. Set explicit timeouts (e.g., playwright.PageClickOptions{Timeout: playwright.Float(5000)}).

4. Stealth & Human-Like Behavior

To bypass anti-bot systems (Cloudflare, Akamai), the generated code must imitate human physiology:

  • Non-Linear Mouse Movement: Never teleport the mouse. Implement a helper that moves the mouse along a Bezier curve with random jitter.
  • Input Latency: never use Fill(). Use Type() with random delays between keystrokes (50ms–200ms).
  • Viewport Randomization: Randomize the viewport size slightly (e.g., 1920x1080 ± 15px) to avoid fingerprinting.
  • Behavioral Noise: Randomly scroll, focus/unfocus the window, or hover over irrelevant elements ("idling") during long waits.
  • User-Agent: Rotate User-Agents for every new Context.

5. Documentation Usage

  • Primary Source: Rely on your internal knowledge of the API first to save tokens.
  • Fallback: Refer to the official docs playwright-go documentation ONLY if:

- You encounter an unknown error. - You need to implement complex network interception or authentication flows. - The API has changed significantly.

Resources

  • resources/implementation-playbook.md for detailed code examples and implementation patterns.

Summary Checklist for Agent

  • Is Debug Mode on? -> Headless=false, SlowMo=100+.
  • Is it a new user identity? -> NewContext, apply new Proxy, rotate User-Agent.
  • Is the action critical? -> Wrap in SafeAction with Zap logging.
  • Is the target guarded (Cloudflare/Akamai)? -> Enable HumanType, BezierMouse, and Stealth Scripts.

平台分布

Codex

35.91%
按下载量换算216

Claude

27.46%
按下载量换算165

Cursor

17.86%
按下载量换算108

Gemini CLI

9.51%
按下载量换算57

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

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。

继续浏览同类 Skills