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bmad-qa-generate-e2e-testsbmad qa 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

3,231

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下载量

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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:bmad-qa-generate-e2e-tests(bmad qa 生成 e2e 测试)
来源仓库:https://github.com/bmad-code-org/bmad-method
仓库路径:skills/bmad-qa-generate-e2e-tests
安装命令:
npx skills add https://github.com/bmad-code-org/bmad-method --skill bmad-qa-generate-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/bmad-code-org/bmad-method --skill bmad-qa-generate-e2e-tests

简介

bmad-qa-generate-e2e-tests 专注于生成自动化测试用例,提升端到端测试覆盖率。

  • 适用于 Codex、Claude、Cursor、Gemini CLI,可辅助编写单元测试、E2E 测试及回归验证。
  • 使用时需明确项目测试框架、运行命令和环境配置,避免误改逻辑。
  • 涉及浏览器或外部服务时应区分模拟环境与生产环境,防止意外影响。
  • 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

QA Generate E2E Tests Workflow

Goal: Generate automated API and E2E tests for implemented code.

Your Role: You are a QA automation engineer. You generate tests ONLY — no code review or story validation (use the bmad-code-review skill for that).

Conventions

  • Bare paths (e.g. checklist.md) resolve from the skill root.
  • {skill-root} resolves to this skill's installed directory (where customize.toml lives).
  • {project-root}-prefixed paths resolve from the project working directory.
  • {skill-name} resolves to the skill directory's basename.

On Activation

Step 1: Resolve the Workflow Block

Run: python3 {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow

If the script fails, resolve the workflow block yourself by reading these three files in base → team → user order and applying the same structural merge rules as the resolver:

  1. {skill-root}/customize.toml — defaults
  2. {project-root}/_bmad/custom/{skill-name}.toml — team overrides
  3. {project-root}/_bmad/custom/{skill-name}.user.toml — personal overrides

Any missing file is skipped. Scalars override, tables deep-merge, arrays of tables keyed by code or id replace matching entries and append new entries, and all other arrays append.

Step 2: Execute Prepend Steps

Execute each entry in {workflow.activation_steps_prepend} in order before proceeding.

Step 3: Load Persistent Facts

Treat every entry in {workflow.persistent_facts} as foundational context you carry for the rest of the workflow run. Entries prefixed file: are paths or globs under {project-root} — load the referenced contents as facts. All other entries are facts verbatim.

Step 4: Load Config

Load config from {project-root}/_bmad/bmm/config.yaml and resolve:

  • project_name, user_name
  • communication_language, document_output_language
  • implementation_artifacts
  • date as system-generated current datetime
  • YOU MUST ALWAYS SPEAK OUTPUT in your Agent communication style with the config {communication_language}

Step 5: Greet the User

Greet {user_name}, speaking in {communication_language}.

Step 6: Execute Append Steps

Execute each entry in {workflow.activation_steps_append} in order.

Activation is complete. Begin the workflow below.

Paths

  • test_dir = {project-root}/tests
  • source_dir = {project-root}
  • default_output_file = {implementation_artifacts}/tests/test-summary.md

Execution

Step 0: Detect Test Framework

Check project for existing test framework:

  • Look for package.json dependencies (playwright, jest, vitest, cypress, etc.)
  • Check for existing test files to understand patterns
  • Use whatever test framework the project already has
  • If no framework exists:

- Analyze source code to determine project type (React, Vue, Node API, etc.) - Search online for current recommended test framework for that stack - Suggest the meta framework and use it (or ask user to confirm)

Step 1: Identify Features

Ask user what to test:

  • Specific feature/component name
  • Directory to scan (e.g., src/components/)
  • Or auto-discover features in the codebase

Step 2: Generate API Tests (if applicable)

For API endpoints/services, generate tests that:

  • Test status codes (200, 400, 404, 500)
  • Validate response structure
  • Cover happy path + 1-2 error cases
  • Use project's existing test framework patterns

Step 3: Generate E2E Tests (if UI exists)

For UI features, generate tests that:

  • Test user workflows end-to-end
  • Use semantic locators (roles, labels, text)
  • Focus on user interactions (clicks, form fills, navigation)
  • Assert visible outcomes
  • Keep tests linear and simple
  • Follow project's existing test patterns

Step 4: Run Tests

Execute tests to verify they pass (use project's test command).

If failures occur, fix them immediately.

Step 5: Create Summary

Output markdown summary:

# Test Automation Summary

## Generated Tests

### API Tests
- [x] tests/api/endpoint.spec.ts - Endpoint validation

### E2E Tests
- [x] tests/e2e/feature.spec.ts - User workflow

## Coverage
- API endpoints: 5/10 covered
- UI features: 3/8 covered

## Next Steps
- Run tests in CI
- Add more edge cases as needed

Keep It Simple

Do:

  • Use standard test framework APIs
  • Focus on happy path + critical errors
  • Write readable, maintainable tests
  • Run tests to verify they pass

Avoid:

  • Complex fixture composition
  • Over-engineering
  • Unnecessary abstractions

For Advanced Features:

If the project needs:

  • Risk-based test strategy
  • Test design planning
  • Quality gates and NFR assessment
  • Comprehensive coverage analysis
  • Advanced testing patterns and utilities
Install Test Architect (TEA) module: https://bmad-code-org.github.io/bmad-method-test-architecture-enterprise/

Output

Save summary to: {default_output_file}

Done! Tests generated and verified. Validate against ./checklist.md.

On Complete

Run: python3 {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow.on_complete

If the resolved workflow.on_complete is non-empty, follow it as the final terminal instruction before exiting.

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

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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

35.63%
按下载量换算372

Claude

32.94%
按下载量换算344

Cursor

18.54%
按下载量换算194

Gemini CLI

9.16%
按下载量换算96

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Snyk

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权限和风险

操作浏览器

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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。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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