AgentSkillsCN

Testing Anti-Patterns

切勿测试模拟行为。切勿在生产类中添加仅用于测试的方法。在进行模拟之前,务必先厘清依赖关系。提供与语言无关的原则,并辅以TypeScript/Jest与Python/pytest的示例。

SKILL.md
--- frontmatter
name: Testing Anti-Patterns
description: Never test mock behavior. Never add test-only methods to production classes. Understand dependencies before mocking. Language-agnostic principles with TypeScript/Jest and Python/pytest examples.
when_to_use: when writing or changing tests, adding mocks, or tempted to add test-only methods to production code
version: 3.0.0
tags:
  - testing
  - typescript
  - javascript
  - python
  - pytest
  - jest
  - mocking
  - tdd
  - anti-patterns
progressive_disclosure:
  entry_point:
    summary: "Avoid testing mocks, test-only production methods, and incomplete mocking. Test real behavior, not mock behavior. Covers TypeScript/Jest and Python/pytest."
    when_to_use: "When writing tests, adding mocks, reviewing test failures, or tempted to add test-only methods to production code."
    quick_start: "1. Ask: 'Am I testing real behavior?' 2. Check: 'Is this method only for tests?' 3. Verify: 'Do I understand what I'm mocking?' 4. Confirm: 'Is my mock complete?' 5. Apply: TDD prevents these patterns"
  references:
    - core-anti-patterns.md
    - completeness-anti-patterns.md
    - detection-guide.md
    - tdd-connection.md
    - python-examples.md
related_skills:
  - toolchains-typescript-testing-jest
  - toolchains-typescript-testing-vitest
  - toolchains-python-testing-pytest
  - universal-debugging-systematic-debugging
  - universal-debugging-verification-before-completion

Testing Anti-Patterns

Overview

Tests must verify real behavior, not mock behavior. Mocks are a means to isolate, not the thing being tested.

Core principle: Test what the code does, not what the mocks do.

Following strict TDD prevents these anti-patterns. See the Test-Driven Development skill (available in the skill library) for the complete TDD workflow.

When to Use This Skill

Activate this skill when:

  • Writing or changing tests - Verify tests cover real behavior
  • Adding mocks - Ensure mocking is necessary and correct
  • Reviewing test failures - Check if mock behavior is the issue
  • Tempted to add test-only methods - STOP and reconsider
  • Tests feel overly complex - Sign of over-mocking

The Iron Laws

code
1. NEVER test mock behavior
2. NEVER add test-only methods to production classes
3. NEVER mock without understanding dependencies
4. NEVER create incomplete mocks
5. NEVER treat tests as afterthought

Core Anti-Pattern Categories

1. Testing Mock Behavior

Asserting on mock elements instead of real behavior. Fix: Test real component or don't mock it. core-anti-patterns.md

2. Test-Only Methods in Production

Methods in production classes only used by tests. Fix: Move to test utilities. core-anti-patterns.md

3. Mocking Without Understanding

Mocking without understanding dependencies/side effects. Fix: Understand first, mock minimally. core-anti-patterns.md

4. Incomplete Mocks

Partial mocks missing fields downstream code needs. Fix: Mirror complete API structure. completeness-anti-patterns.md

5. Tests as Afterthought

Implementation "complete" without tests. Fix: TDD - write test first. completeness-anti-patterns.md

Quick Detection Checklist

Run this checklist before committing any test:

Language-agnostic checks:

code
□ Am I asserting on mock behavior instead of real behavior?
  → TypeScript: testId='*-mock', expect(mock).toHaveBeenCalled()
  → Python: mock.assert_called(), mock.call_count
  → If yes: STOP - Test real behavior or unmock

□ Does this method only exist for tests?
  → TypeScript: destroy(), reset(), clear() only in *.test.ts
  → Python: _set_mock_*, _for_testing only in test_*.py
  → If yes: STOP - Move to test utilities

□ Do I fully understand what I'm mocking?
  → If no: STOP - Run with real impl first, then mock minimally

□ Is my mock missing fields the real API has?
  → TypeScript: Partial<T>, incomplete objects
  → Python: Mock() with few attributes, missing nested fields
  → If yes: STOP - Mirror complete API structure

□ Did I write implementation before test?
  → If yes: STOP - Delete impl, write test first (TDD)

□ Is mock setup >50% of test code?
  → If yes: Consider integration test with real components

See: detection-guide.md for comprehensive red flags and warning signs.

The Bottom Line

Mocks are tools to isolate, not things to test.

Testing mock behavior indicates a problem. Fix: Test real behavior or question why mocking is necessary.

TDD prevents these patterns. Write test first → Watch fail → Minimal implementation → Pass → Refactor.

Navigation

Detailed Anti-Pattern Analysis

Detection & Prevention

Language-Specific Examples

  • Python Examples - Complete Python/pytest guide covering all 5 anti-patterns with unittest.mock and pytest-mock patterns, fixture best practices, and pytest-specific detection. Load when working with Python tests.

Related Skills

When using this skill, consider these complementary skills (if deployed in your skill bundle):

  • test-driven-development: Complete TDD workflow and red-green-refactor cycle

    • Use case: Implementing TDD discipline to prevent anti-patterns
    • Integration: TDD workflow prevents most anti-patterns by design
    • Status: Recommended - basic anti-patterns covered in this skill
  • verification-before-completion: Definition of "done" and verification protocols

    • Use case: Ensuring tests are part of completion criteria
    • Integration: Tests must pass before work is considered complete
    • Status: Recommended - testing mindset reinforcement

Note: All skills are independently deployable. This skill is fully functional without them.

Key Reminders

  1. Mocks isolate, don't prove - Test real code, not mocks
  2. Production ignores tests - No test-only methods
  3. Understand before mocking - Know dependencies and side effects
  4. Complete mocks only - Mirror full API structure
  5. Tests ARE implementation - Not optional afterthought

Red Flags - STOP

STOP immediately when:

  • Testing mock behavior
    • TypeScript: Asserting on *-mock test IDs, expect(mock).toHaveBeenCalled()
    • Python: mock.assert_called(), mock.call_count without real behavior checks
  • Adding test-only methods
    • TypeScript: destroy(), reset() only in *.test.ts
    • Python: _set_mock_*, _for_testing with "For testing only" docstrings
  • Mocking without understanding
    • Adding @patch or vi.mock() "just to be safe"
    • Creating mocks from memory instead of API docs
  • Incomplete mocks
    • TypeScript: Partial<T>, missing nested objects
    • Python: Mock() for data objects, missing required fields
  • Tests as afterthought
    • Saying "tests can wait" or "ready for testing"
    • Implementation commits before test commits

When mocks become too complex: Consider integration tests with real components. Often simpler and more valuable.

Integration with Other Skills

Prerequisite: Test-Driven Development skill - TDD prevents anti-patterns (recommended for complete workflow) Complementary: Verification-Before-Completion skill - Tests = done (ensures proper testing discipline) Domain-specific: webapp-testing, backend-testing for framework patterns (see skill library if available)