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分类: 开发与工程无需 API Key

standards-tests

为关键用户流程和核心路径编写聚焦的测试,测试名称清晰、关注行为断言、模拟外部依赖,并且执行速度快,直到明确需要时再推迟边界情况测试。在创建或修改测试文件、编写单元测试、集成测试或任何功能的测试用例时使用此技能。适用于编写测试文件(test/、__tests__/、spec/、.test.js、.spec.ts、test_*.py)、实现核心用户工作流的测试、测试关键业务逻辑、模拟外部依赖(数据库、API、文件系统)、编写描述性强的测试名称、创建快速运行的单元测试,或在功能开发的逻辑完成点添加测试。适用于涉及测试创建、测试覆盖率、测试策略或测试驱动开发的任何任务。

person作者: jakexiaohubgithub

Tests Standards

Core Philosophy: Write minimal, focused tests for critical paths. Defer comprehensive testing until explicitly requested.

When to use this skill

  • When creating or modifying test files (test/, tests/, *.test.js, .spec.ts, test_.py)
  • When writing unit tests for core business logic and critical user workflows
  • When implementing integration tests at logical feature completion points
  • When writing test names that clearly describe what is being tested and expected outcome
  • When mocking external dependencies like databases, APIs, or file systems to isolate units
  • When focusing tests on behavior (what the code does) rather than implementation details
  • When ensuring unit tests execute quickly (milliseconds) for frequent developer runs
  • When testing core user flows and primary workflows (deferring edge cases unless critical)
  • When writing minimal tests during feature development, focusing on main functionality
  • When avoiding excessive testing of non-critical utilities or secondary workflows
  • When deciding test coverage strategy for new features or refactoring

This Skill provides Claude Code with specific guidance on how to adhere to coding standards as they relate to how it should handle testing test writing.

Strategic Test Writing

Minimal Testing During Development

Do NOT write tests for:

  • Every intermediate step or code change
  • Non-critical utility functions
  • Secondary workflows or helper functions
  • Edge cases unless business-critical
  • Error states unless explicitly required
  • Validation logic unless core to feature

DO write tests for:

  • Primary user workflows (happy path)
  • Critical business logic
  • Core feature functionality
  • Features at logical completion points

Pattern:

1. Implement feature completely
2. Identify critical paths
3. Write tests for those paths only
4. Move to next feature

Test Scope Priority

Priority 1 - Always Test:

  • Main user flows (login, checkout, data submission)
  • Business-critical calculations
  • Data transformations affecting core features

Priority 2 - Test When Requested:

  • Edge cases and boundary conditions
  • Error handling and validation
  • Non-critical utilities
  • Secondary workflows

Priority 3 - Defer:

  • Exhaustive input validation
  • All possible error states
  • Performance edge cases
  • Rare user scenarios

Test Quality Standards

Test Naming Convention

Use descriptive names following pattern: test_<function>_<scenario>_<expected_result>

Good:

test_checkout_with_valid_cart_creates_order()
test_login_with_correct_credentials_returns_token()

Bad:

test_checkout()
test_user_login()

Behavior Over Implementation

Test what the code does, not how it does it.

Good - Tests behavior:

def test_discount_calculation_applies_percentage():
    result = calculate_discount(price=100, rate=0.2)
    assert result == 80

Bad - Tests implementation:

def test_discount_uses_multiplication():
    # Don't test internal calculation method
    assert discount._multiply_called == True

Mock External Dependencies

Isolate units by mocking external systems.

Always mock:

  • Database connections
  • API calls
  • File system operations
  • Network requests
  • External services

Example:

@mock.patch('app.database.query')
def test_fetch_user_returns_user_data(mock_query):
    mock_query.return_value = {'id': 1, 'name': 'Test'}
    result = fetch_user(1)
    assert result['name'] == 'Test'

Fast Execution

Unit tests must execute in milliseconds.

Fast tests enable:

  • Frequent test runs during development
  • Quick feedback loops
  • Developer confidence

If test is slow:

  • Mock external dependencies
  • Use in-memory databases
  • Move to integration test suite

Decision Framework

Before writing a test, ask:

  1. Is this a critical path? → If no, defer
  2. Is this core business logic? → If no, defer
  3. Was I explicitly asked to test this? → If no, defer
  4. Is this the happy path? → If yes, test it

Integration with TDD

When following TDD:

  1. Write minimal failing test for critical path only
  2. Implement feature
  3. Verify test passes
  4. Stop - don't add more tests unless requested

Common Mistakes to Avoid

Over-testing during development:

  • Writing tests for every function
  • Testing all edge cases upfront
  • Testing implementation details
  • Slowing down feature development

Under-testing critical paths:

  • Skipping main user flow tests
  • Not testing business logic
  • Ignoring core feature validation

Brittle tests:

  • Testing internal implementation
  • Coupling tests to code structure
  • Not mocking external dependencies

Quick Reference

| Scenario | Action | | ------------------------------- | ------------------------------ | | Implementing new feature | Test critical path only | | User requests edge case testing | Add those specific tests | | Non-critical utility function | Skip testing unless requested | | Core business calculation | Always test | | Error handling | Defer unless business-critical | | Integration point | Test at completion |