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qa-generating-integration-testsqa 生成集成测试

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

188

周安装

8

GitHub Stars

5

下载量

66
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-integration-tests(qa 生成集成测试)
来源仓库:https://github.com/wizeline/sdlc-agents
仓库路径:skills/qa-generating-integration-tests
安装命令:
npx skills add https://github.com/wizeline/sdlc-agents --skill qa-generating-integration-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-integration-tests

简介

qa-generating-integration-tests 用于辅助测试设计、自动化测试和回归验证,适合编写集成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-integration-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 Integration Tests

This skill turns API contracts into comprehensive test suites that validate service integrity beyond basic schema conformance.

When to Use

  • You have an OpenAPI spec, GraphQL schema, or list of API endpoints
  • You need to generate test cases that exercise business logic, not just structure
  • You want to validate that services handle edge cases, errors, and adversarial inputs
  • You're testing cross-service data pipelines for consistency

Workflow

Step 1 — Parse the Contract

Read the API specification and extract a structured inventory:

python skills/qa-generating-integration-tests/scripts/parse_contract.py \
  --input <openapi.yaml|schema.graphql|endpoints.json> \
  --output contract-inventory.json

The inventory contains, for each endpoint:

  • Method, path, description
  • Request parameters (path, query, header, body)
  • Request body schema with types and constraints
  • Response schemas per status code
  • Authentication requirements
  • Rate limits (if documented)

Step 2 — Generate Test Cases

For each endpoint, generate tests across these categories:

Positive tests (happy path):

  • Valid request with all required fields → expected success response
  • Valid request with optional fields included → expected success response
  • Valid request with minimum required fields → expected success response

Negative tests (error handling):

  • Missing required fields → 400 with descriptive error
  • Invalid field types (string where int expected) → 400
  • Invalid field values (negative quantity) → 400 or 422
  • Missing authentication → 401
  • Insufficient permissions → 403
  • Nonexistent resource → 404

Boundary tests:

  • Minimum values for numeric fields
  • Maximum values for numeric fields
  • Empty strings for string fields
  • Maximum length strings
  • Empty arrays, single-element arrays, large arrays
  • Null values for nullable fields
  • Special characters in string fields

Security tests:

  • SQL injection patterns in string fields
  • XSS payloads in text fields
  • Path traversal in file-related endpoints
  • Authentication token manipulation

Use the generation script:

python skills/qa-generating-integration-tests/scripts/generate_tests.py \
  --contract contract-inventory.json \
  --output test-suite.json \
  --categories positive,negative,boundary,security

Step 3 — Execute Tests

Run the generated test suite against the target environment:

python skills/qa-generating-integration-tests/scripts/run_tests.py \
  --suite test-suite.json \
  --base-url https://staging.example.com \
  --auth-token $AUTH_TOKEN \
  --output results.json \
  --parallel 5

Step 4 — Analyze Results

Classify each result and generate the report:

  • Pass: Response matches expectations
  • Fail: Response differs from expectations (potential bug)
  • Error: Request could not be sent (infrastructure issue)
  • Unexpected Pass: Request that should have been rejected was accepted

Contract Formats

OpenAPI 3.x

Read references/openapi-parsing.md for detailed parsing rules. Key areas:

  • paths → endpoints
  • components/schemas → data types
  • security → authentication schemes
  • parameters → query/path/header params

GraphQL

Read references/graphql-parsing.md. Key areas:

  • Queries and mutations → equivalent to REST endpoints
  • Input types → request schemas
  • Return types → response schemas
  • Custom scalars → validation rules

Manual Endpoint List

Accept a JSON array of endpoint definitions when no formal spec exists:

[
  {
    "method": "POST",
    "path": "/api/users",
    "description": "Create a new user",
    "body": {"email": "string (required)", "name": "string (required)"},
    "responses": {"201": "User created", "400": "Validation error"}
  }
]

Test Case Format

Generated tests follow this structure:

{
  "test_id": "POST-users-001",
  "endpoint": "POST /api/users",
  "category": "positive",
  "description": "Create user with all required fields",
  "request": {
    "method": "POST",
    "path": "/api/users",
    "headers": {"Content-Type": "application/json"},
    "body": {"email": "test@example.com", "name": "Test User"}
  },
  "expected": {
    "status_code": 201,
    "body_contains": ["id", "email", "name"],
    "response_time_max_ms": 2000
  }
}

References

  • references/openapi-parsing.md — OpenAPI 3.x parsing details
  • references/graphql-parsing.md — GraphQL schema parsing details

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

36.32%
按下载量换算24

Claude

28.6%
按下载量换算19

Cursor

18.8%
按下载量换算12

Gemini CLI

8.3%
按下载量换算5

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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