Token导航 LogoToken导航

Agent Skill · 运维和基础设施

replay-playwright(replay 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。

replay-playwright 是运维和基础设施类 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,第三方扫描有提醒项,按安装量在运维和基础设施类的 2,449 个 Skill 里排第 876。

总安装 1,350周安装 58GitHub Stars 公开资料未说明下载 473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:replay-playwright(replay Playwright 测试)
来源仓库:https://github.com/replayio/skills
仓库路径:skills/replay-playwright
安装命令:
npx skills add https://github.com/replayio/skills --skill replay-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/replayio/skills --skill replay-playwright

这个 Skill 是做什么的

运维和基础设施类 Skill 处理部署、监控、日志和云资源,多数需要较高的执行权限。

用于辅助 Playwright 测试设计、自动化测试和回归验证。适合在 Codex、Claude、Cursor、Gemini CLI 中编写单元测试或端到端测试。使用时需确认项目测试框架、运行命令和夹具数据,避免修改真实逻辑。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。

安装方式:通过 npx skills add 从 GitHub 仓库安装。

来源仓库内路径:skills/replay-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/replayio/skills --skill replay-playwright;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

replay-playwright 怎么安装?

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

replay-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。

replay-playwright 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。

replay-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。

replay-playwright 用的人多吗?

公开数据是累计安装 1,350 次,近一周安装 58 次,下载 473 次。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。

replay-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。

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。
  • 需要处理运维和基础设施类任务、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。

运维和基础设施类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
brainstorming

头脑风暴 · Codex、Claude

3,148,776173,131操作浏览器MIT通过
copywriting

文案写作 · Codex、Claude

1,996,72425,583需要联网MIT通过
openclaw-secure-linux-cloud

OpenClaw secure linux cloud 命令行 · Codex、Claude

1,853,08840接触敏感数据未明确未通过
xget

xget 命令行 · Codex、Claude

1,799,28040执行命令未明确未通过
requesting-code-review

代码审查请求 · Codex、Claude

1,590,144173,103权限未标注MIT通过
replay-playwright

replay Playwright 测试 · 本页

1,350—接触敏感数据未明确有提醒

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

replay-playwright

Description: Use when the user wants to set up Replay for Playwright tests, configure the Replay Playwright plugin, or run Playwright tests with the Replay Browser. Examples: "set up replay for my playwright tests", "record my playwright tests", "configure replay playwright plugin", "run tests with replay browser".

Instructions:

You are helping the user set up and run Playwright tests with the Replay Browser. Here is the complete reference:

Installation

1. Install the Replay Playwright plugin
npm install --save-dev @replayio/playwright
# or
yarn add --dev @replayio/playwright
# or
pnpm add --save-dev @replayio/playwright
# or
bun add --dev @replayio/playwright
2. Install the Replay Browser
npx replayio install

Authentication

Create a Test Suite Team at https://app.replay.io/team/new/tests to generate an API key.

Store the API key using one of these methods:

  • .env file (recommended): Add REPLAY_API_KEY=<your_api_key> to your .env file and use the dotenv package to load it.
  • macOS/Linux: export REPLAY_API_KEY=<your_api_key>
  • Windows: set REPLAY_API_KEY=<your_api_key>

Configuration

Update playwright.config.ts to use the Replay reporter and Replay Chromium browser:

import { replayReporter, devices as replayDevices } from "@replayio/playwright";

const config: PlaywrightTestConfig = {
  reporter: [
    replayReporter({
      apiKey: process.env.REPLAY_API_KEY,
      upload: true,
    }),
    ["line"],
  ],
  projects: [
    {
      name: "replay-chromium",
      use: { ...replayDevices["Replay Chromium"] },
    },
  ],
};

Key configuration details:

  • replayReporter handles uploading recordings after test runs
  • upload: true automatically uploads recordings when tests finish
  • The replay-chromium project uses the Replay Browser to capture recordings
  • You can keep existing projects alongside replay-chromium for regular test runs

Running Tests

Run Playwright tests with the Replay Browser:

npx playwright test --project replay-chromium

Recordings are automatically uploaded when upload: true is set in the reporter config.

Core Workflow

Set up Replay for an existing Playwright project:

  1. Install the plugin: npm install --save-dev @replayio/playwright
  2. Install the browser: npx replayio install
  3. Update playwright.config.ts with the Replay reporter and project
  4. Set the REPLAY_API_KEY environment variable
  5. Run tests: npx playwright test --project replay-chromium

When modifying the user's playwright.config.ts:

  • Preserve existing projects and reporters — add the Replay project and reporter alongside them
  • Import replayReporter and devices as replayDevices from @replayio/playwright
  • If the config uses defineConfig, add the Replay project to the existing projects array
  • If the config already has reporters, append replayReporter to the existing array

Debugging your recorded application

Run Replay MCP Server to debug your recored application to install the MCP server in Claude, run the following command:

claude --mcp-config "{
    "mcpServers": {
      "replay": {
        "type": "http",
        "url": "https://dispatch.replay.io/nut/mcp",
        "headers": {
          "Authorization": "${REPLAY_API_KEY}"
        }
      }
    }
  }"

Troubleshooting: Recordings Not Being Created

If the Replay browser runs tests successfully but no recordings appear (replayio list shows nothing), the recording driver likely failed to load.

Diagnose

Run the Replay browser directly with recording enabled and check stderr:

RECORD_ALL_CONTENT=1 $(node -e "console.log(require('os').homedir() + '/.replay/runtimes/chrome-linux/chrome')") --headless https://google.com

If the recording driver loads correctly, you should see no DoLoadDriverHandle errors. There should be recordings available from replayio list

Fix: Missing libcrypto.so.1.1

If you see:

DoLoadDriverHandle: dlopen failed ... libcrypto.so.1.1: cannot open shared object file

The Replay recording driver requires OpenSSL 1.1, but the system only has OpenSSL 3. Download the Ubuntu 18.04 libssl1.1 package and extract the libraries:

curl -sL -o /tmp/libssl1.1.deb \
  http://archive.ubuntu.com/ubuntu/pool/main/o/openssl/libssl1.1_1.1.1-1ubuntu2.1~18.04.23_amd64.deb
dpkg-deb -x /tmp/libssl1.1.deb $HOME/.local/openssl11
rm /tmp/libssl1.1.deb

Then set LD_LIBRARY_PATH before launching the browser:

export LD_LIBRARY_PATH=$HOME/.local/openssl11/usr/lib/x86_64-linux-gnu

Verify the fix by running the diagnostic command again — the DoLoadDriverHandle error should be gone.

This should be set in launchOptions.env in your Playwright config, or globally via the Dockerfile.

平台分布

Codex

35.28%
按下载量换算167

Claude

27.58%
按下载量换算130

Cursor

20.2%
按下载量换算96

Gemini CLI

8.43%
按下载量换算40

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

可疑

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。

继续浏览同类 Skills