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replay-playwrightreplay Playwright 测试

Agent Skill

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。

总安装

1,350

周安装

58

GitHub Stars

公开资料未说明

下载量

473
CodexClaudeCursorGemini CLI

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

unknown

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: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

简介

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。

SKILL.md

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.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

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

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 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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