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vitest-midscene-e2eVitest midscene E2E 搜索

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。

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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:vitest-midscene-e2e(Vitest midscene E2E 搜索)
来源仓库:https://github.com/web-infra-dev/midscene-skills
仓库路径:skills/vitest-midscene-e2e
安装命令:
npx skills add https://github.com/web-infra-dev/midscene-skills --skill vitest-midscene-e2e
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 vitest-midscene-e2e

简介

用于辅助测试设计、自动化测试、用例整理和回归验证。

  • 适合编写单元测试、端到端测试、测试计划或根据失败日志定位问题。
  • 使用时需确认项目测试框架、运行命令和夹具数据,避免误改真实逻辑。
  • 安装命令:npx skills add https://github.com/web-infra-dev/midscene-skills --skill vitest-midscene-e2e。
  • 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。

SKILL.md

Vitest Midscene E2E

Modules

ModuleRole
VitestTypeScript test framework. Provides describe/it/expect/hooks for test organization, assertions, and lifecycle.
MidsceneAI-driven UI automation. Interacts with UI elements via natural language — no fragile selectors. Core API: aiAct.

Supported platforms:

  • WebWebTest (Playwright Chromium): ctx.agent + ctx.page
  • AndroidAndroidTest (ADB + scrcpy): ctx.agent only
  • iOSIOSTest (WebDriverAgent): ctx.agent only

Workflow

Step 1: Clone boilerplate & ensure project ready

bash scripts/clone-boilerplate.sh

The boilerplate at ~/.midscene/boilerplate/vitest-all-platforms-demo/ is the canonical reference for project structure, configs, platform context classes, and test conventions. Compare the current project against it. If anything is missing, ask the user which platform(s) they need (Web / Android / iOS), then fill in what's missing using the boilerplate as the target state. Only include files for the requested platform(s). Do NOT overwrite existing configs or files. Copy .env.example from the boilerplate as .env if it doesn't exist, and prompt the user to fill in the env vars.

Step 2: Read the Midscene Agent API section below before writing tests

It contains mandatory rules for using aiAct — the primary API for all UI operations. Do NOT skip this step.

Step 3: Create, update, or run tests

Use the boilerplate's e2e/ directory and src/context/ as reference for patterns and conventions. Before running tests, ensure dependencies are installed and .env is configured. When debugging failures, check troubleshooting.md.

Midscene Agent API

ctx.agent is a platform-specific agent instance. All methods return Promises.

  • Web: PlaywrightAgent from @midscene/web/playwright
  • Android: AndroidAgent from @midscene/android
  • iOS: IOSAgent from @midscene/ios

All three agents share the same AI methods below.

Mandatory Rule: Use aiAct for User-Described Steps

When the user describes a UI action or state confirmation in natural language, you MUST use aiAct to implement it. Do NOT decompose user instructions into aiTap/aiInput/aiAssert or other fine-grained APIs. Pass the user's intent directly to aiAct and let Midscene's AI handle the planning and execution.
// User says: "type iPhone in the search box and click search"

// WRONG — manually decomposing into fine-grained APIs
await ctx.agent.aiInput('search box', { value: 'iPhone' });
await ctx.agent.aiTap('search button');

// CORRECT — pass intent directly to aiAct
await ctx.agent.aiAct('type "iPhone" in the search box, then click the search button');

Assertions, data extraction, and waiting should also be done via aiAct — it handles all of these. Do NOT use aiAssert, aiQuery, aiWaitFor, aiTap, or aiInput separately.

aiAct(taskPrompt, opt?) — Primary API

aiAct is the primary API for all UI operations and state confirmations. It accepts natural language instructions and autonomously plans and executes multi-step interactions.

// UI operations
await ctx.agent.aiAct('type "iPhone" in the search box, then click the search button');
await ctx.agent.aiAct('hover over the user avatar in the top right');

// State confirmations / assertions — also use aiAct
await ctx.agent.aiAct('verify the page shows "Login successful"');
await ctx.agent.aiAct('verify the error message is visible');

Phase splitting: If the task prompt is too long or covers multiple distinct stages, split it into separate aiAct calls — one per phase. Each phase should be a self-contained logical step, and all phases combined must match the user's original intent.

// Incorrect — prompt spans multiple pages and too many steps, AI may lose context mid-way
await ctx.agent.aiAct('click the settings button in the top nav, go to settings page, find personal info and click into it, change email to "test@example.com", change phone to "13800000000", click save, wait for success');

// Correct — split by page/stage boundary, each phase stays within one logical context
await ctx.agent.aiAct('click the settings button in the top nav, go to settings page, find personal info and click into it');
await ctx.agent.aiAct('change email to "test@example.com", change phone to "13800000000", click save');
await ctx.agent.aiAct('verify the save success message appears');
aiAction is deprecated. Use aiAct or ai instead.

Common Mistakes

  • Vague locators'button' is ambiguous; use 'the blue "Submit" button at the top of the page'
  • Deprecated aiAction — use aiAct instead
  • Ambiguous multi-element targets — specify row/position: 'the delete button in the first product row'

Agent Configuration — aiActionContext

aiActionContext is a system prompt string appended to all AI actions performed by the agent. Use it to define the AI's role and expertise.

// Set via agentOptions in setup()
const ctx = WebTest.setup('https://example.com', {
  agentOptions: {
    aiActionContext: 'You are a Web UI testing expert.',
  },
});

Good examples:

  • 'You are a Web UI testing expert.'
  • 'You are an Android app testing expert who is familiar with Chinese UI.'

Bad examples:

  • 'Click the login button.' — specific actions belong in aiAct(), not aiActionContext
  • 'The page is in Chinese.' — this is page description, not a system prompt

How to Look Up More

  1. In node_modules/@midscene/web, node_modules/@midscene/android, and node_modules/@midscene/ios, find the type definitions for the agent classes
  2. If types are not enough, follow the source references in the .d.ts files to read the implementation code in node_modules
  3. Download https://midscenejs.com/llms.txt, then use grep to search for the API or concept you need (the file is large, do not read it in full)

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02

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能力 3

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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

35.48%
按下载量换算1,943

Claude

28.73%
按下载量换算1,573

Cursor

19.78%
按下载量换算1,083

Gemini CLI

9.78%
按下载量换算535

安全审计

Gen Agent Trust Hub

通过

Socket

通过

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 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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