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qa-generating-e2e-testsqa 生成 e2e 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

194

周安装

8

GitHub Stars

5

下载量

63
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:qa-generating-e2e-tests(qa 生成 e2e 测试)
来源仓库:https://github.com/wizeline/sdlc-agents
仓库路径:skills/qa-generating-e2e-tests
安装命令:
npx skills add https://github.com/wizeline/sdlc-agents --skill qa-generating-e2e-tests
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/wizeline/sdlc-agents --skill qa-generating-e2e-tests

简介

qa-generating-e2e-tests 用于辅助测试设计、自动化测试和回归验证,适合编写端到端测试用例或分析失败日志。

  • 它支持根据项目框架生成测试代码,并区分本地模拟与生产环境。
  • 通过安装命令 npx skills add https://github.com/wizeline/sdlc-agents --skill qa-generating-e2e-tests 添加技能,具体用法可参考仓库中的 SKILL.md。
  • 使用时需确认测试框架、运行命令及夹具数据,避免为通过测试而破坏真实逻辑。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Generating E2E Tests

This skill generates complete end-to-end test scenarios from user journey definitions, requirements, or by analyzing the application's navigation structure.

When to Use

  • You need to create E2E tests for critical user flows (login, checkout, signup)
  • You're building a regression suite for CI/CD
  • You have user stories or journey maps to convert to automated tests
  • You want to generate Playwright test code from natural language descriptions

Workflow

Step 1 — Define User Journeys

Journeys can come from three sources:

A) Provided by user: Accept JSON journey definitions (see format below)

B) Generated from requirements: Parse Jira tickets or user stories:

python skills/qa-generating-e2e-tests/scripts/journey_from_requirements.py \
  --requirements requirements.json \
  --output journeys.json

C) Discovered from the app: Navigate the application and infer critical paths:

python skills/qa-generating-e2e-tests/scripts/discover_journeys.py \
  --url https://staging.example.com \
  --output journeys.json

Step 2 — Generate Test Code

Convert journey definitions into executable Playwright tests:

python skills/qa-generating-e2e-tests/scripts/generate_playwright.py \
  --journeys journeys.json \
  --output tests/ \
  --base-url https://staging.example.com

This produces one test file per journey, using Playwright's async API with:

  • Semantic element selection (by role, text, label — not brittle selectors)
  • Automatic screenshot capture at each step
  • Console error collection
  • Network failure monitoring
  • Configurable timeouts and retry logic

Step 3 — Execute Tests

python skills/qa-generating-e2e-tests/scripts/run_e2e.py \
  --tests tests/ \
  --base-url https://staging.example.com \
  --output results/ \
  --browsers chromium

Journey Definition Format

{
  "journey_id": "user-signup",
  "name": "New User Signup Flow",
  "priority": "critical",
  "preconditions": [],
  "steps": [
    {
      "step": 1,
      "action": "navigate",
      "target": "/signup",
      "description": "Go to the signup page"
    },
    {
      "step": 2,
      "action": "fill",
      "target": "Email input",
      "value": "newuser@example.com",
      "description": "Enter email address"
    },
    {
      "step": 3,
      "action": "fill",
      "target": "Password input",
      "value": "SecurePass123!",
      "description": "Enter password"
    },
    {
      "step": 4,
      "action": "click",
      "target": "Sign Up button",
      "description": "Submit the signup form"
    },
    {
      "step": 5,
      "action": "wait",
      "target": "Welcome message or dashboard",
      "description": "Verify successful signup"
    }
  ],
  "postconditions": [
    "User account exists in the system",
    "Welcome email sent"
  ]
}

Action types: navigate, click, fill, select, hover, scroll, wait, assert_visible, assert_text, assert_url, screenshot

Target format: Use human-readable descriptions. The test generator converts these to Playwright locators using get_by_role(), get_by_text(), get_by_label(), and get_by_placeholder() — avoiding CSS selectors or XPaths.

Generated Test Structure

import pytest
from playwright.async_api import async_playwright, expect

@pytest.mark.asyncio
async def test_user_signup():
    async with async_playwright() as p:
        browser = await p.chromium.launch()
        context = await browser.new_context(viewport={"width": 1440, "height": 900})
        page = await context.new_page()

        # Step 1: Go to the signup page
        await page.goto("https://staging.example.com/signup")
        await page.screenshot(path="screenshots/signup-01-page-loaded.png")

        # Step 2: Enter email address
        await page.get_by_label("Email").fill("newuser@example.com")

        # Step 3: Enter password
        await page.get_by_label("Password").fill("SecurePass123!")

        # Step 4: Submit the signup form
        await page.get_by_role("button", name="Sign Up").click()

        # Step 5: Verify successful signup
        await expect(page.get_by_text("Welcome")).to_be_visible(timeout=10000)
        await page.screenshot(path="screenshots/signup-05-success.png")

        await browser.close()

Test Data Management

The skill includes helpers for test data lifecycle:

  • Before test: Create users, seed data via API
  • After test: Clean up created data
  • Shared fixtures: Reusable login sessions, pre-populated carts
# Generated fixture example
@pytest.fixture
async def authenticated_page(page):
    """Login and return an authenticated page."""
    await page.goto(f"{BASE_URL}/login")
    await page.get_by_label("Email").fill(TEST_USER_EMAIL)
    await page.get_by_label("Password").fill(TEST_USER_PASSWORD)
    await page.get_by_role("button", name="Log in").click()
    await page.wait_for_url("**/dashboard")
    yield page

Handling Dynamic Content

The generated tests handle dynamic values without hardcoded waits:

  • Use wait_for_selector instead of time.sleep
  • Use expect(locator).to_have_text(re.compile(...)) for dynamic text
  • Extract and reuse generated IDs (order numbers, confirmation codes)
  • Use page.wait_for_response() for API-dependent UI updates

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

32.97%
按下载量换算21

Claude

29.75%
按下载量换算19

Cursor

18.35%
按下载量换算12

Gemini CLI

8.94%
按下载量换算6

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

未通过

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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