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Testing Anti Patterns

  • 256 installs
  • 733 repo stars
  • Updated October 14, 2025
  • obra/superpowers-skills

Write a failing test first, watch it fail, then implement minimal code—never ship behavior without RED-GREEN-REFACTOR.

About

testing anti-patterns — Superpowers TDD enforces red-green-refactor on every feature and bugfix—write one failing test, watch it fail for the right reason, implement the smallest passing code, then refactor. It rejects rationalizations for skipping tests. Solo builders use it as the default build habit inside the Superpowers workflow.

  • Iron law: delete production code written before the failing test exists.
  • Mandatory verify-RED and verify-GREEN steps with real command output.
  • Examples of good vs bad tests—real behavior, not over-mocked.

Testing Anti Patterns by the numbers

  • 256 all-time installs (skills.sh)
  • +26 installs in the week ending Jul 18, 2026 (Skillselion tracking)
  • Ranked #747 of 2,184 Testing & QA skills by installs in the Skillselion catalog
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
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Installs256
repo stars733
Security audit3 / 3 scanners passed
Last updatedOctober 14, 2025
Repositoryobra/superpowers-skills

What it does

Write a failing test first, watch it fail, then implement minimal code—never ship behavior without RED-GREEN-REFACTOR.

Files

SKILL.mdMarkdownGitHub ↗

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.

The Iron Laws

1. NEVER test mock behavior
2. NEVER add test-only methods to production classes
3. NEVER mock without understanding dependencies

Anti-Pattern 1: Testing Mock Behavior

The violation:

// ❌ BAD: Testing that the mock exists
test('renders sidebar', () => {
  render(<Page />);
  expect(screen.getByTestId('sidebar-mock')).toBeInTheDocument();
});

Why this is wrong:

  • You're verifying the mock works, not that the component works
  • Test passes when mock is present, fails when it's not
  • Tells you nothing about real behavior

your human partner's correction: "Are we testing the behavior of a mock?"

The fix:

// ✅ GOOD: Test real component or don't mock it
test('renders sidebar', () => {
  render(<Page />);  // Don't mock sidebar
  expect(screen.getByRole('navigation')).toBeInTheDocument();
});

// OR if sidebar must be mocked for isolation:
// Don't assert on the mock - test Page's behavior with sidebar present

Gate Function

BEFORE asserting on any mock element:
  Ask: "Am I testing real component behavior or just mock existence?"

  IF testing mock existence:
    STOP - Delete the assertion or unmock the component

  Test real behavior instead

Anti-Pattern 2: Test-Only Methods in Production

The violation:

// ❌ BAD: destroy() only used in tests
class Session {
  async destroy() {  // Looks like production API!
    await this._workspaceManager?.destroyWorkspace(this.id);
    // ... cleanup
  }
}

// In tests
afterEach(() => session.destroy());

Why this is wrong:

  • Production class polluted with test-only code
  • Dangerous if accidentally called in production
  • Violates YAGNI and separation of concerns
  • Confuses object lifecycle with entity lifecycle

The fix:

// ✅ GOOD: Test utilities handle test cleanup
// Session has no destroy() - it's stateless in production

// In test-utils/
export async function cleanupSession(session: Session) {
  const workspace = session.getWorkspaceInfo();
  if (workspace) {
    await workspaceManager.destroyWorkspace(workspace.id);
  }
}

// In tests
afterEach(() => cleanupSession(session));

Gate Function

BEFORE adding any method to production class:
  Ask: "Is this only used by tests?"

  IF yes:
    STOP - Don't add it
    Put it in test utilities instead

  Ask: "Does this class own this resource's lifecycle?"

  IF no:
    STOP - Wrong class for this method

Anti-Pattern 3: Mocking Without Understanding

The violation:

// ❌ BAD: Mock breaks test logic
test('detects duplicate server', () => {
  // Mock prevents config write that test depends on!
  vi.mock('ToolCatalog', () => ({
    discoverAndCacheTools: vi.fn().mockResolvedValue(undefined)
  }));

  await addServer(config);
  await addServer(config);  // Should throw - but won't!
});

Why this is wrong:

  • Mocked method had side effect test depended on (writing config)
  • Over-mocking to "be safe" breaks actual behavior
  • Test passes for wrong reason or fails mysteriously

The fix:

// ✅ GOOD: Mock at correct level
test('detects duplicate server', () => {
  // Mock the slow part, preserve behavior test needs
  vi.mock('MCPServerManager'); // Just mock slow server startup

  await addServer(config);  // Config written
  await addServer(config);  // Duplicate detected ✓
});

Gate Function

BEFORE mocking any method:
  STOP - Don't mock yet

  1. Ask: "What side effects does the real method have?"
  2. Ask: "Does this test depend on any of those side effects?"
  3. Ask: "Do I fully understand what this test needs?"

  IF depends on side effects:
    Mock at lower level (the actual slow/external operation)
    OR use test doubles that preserve necessary behavior
    NOT the high-level method the test depends on

  IF unsure what test depends on:
    Run test with real implementation FIRST
    Observe what actually needs to happen
    THEN add minimal mocking at the right level

  Red flags:
    - "I'll mock this to be safe"
    - "This might be slow, better mock it"
    - Mocking without understanding the dependency chain

Anti-Pattern 4: Incomplete Mocks

The violation:

// ❌ BAD: Partial mock - only fields you think you need
const mockResponse = {
  status: 'success',
  data: { userId: '123', name: 'Alice' }
  // Missing: metadata that downstream code uses
};

// Later: breaks when code accesses response.metadata.requestId

Why this is wrong:

  • Partial mocks hide structural assumptions - You only mocked fields you know about
  • Downstream code may depend on fields you didn't include - Silent failures
  • Tests pass but integration fails - Mock incomplete, real API complete
  • False confidence - Test proves nothing about real behavior

The Iron Rule: Mock the COMPLETE data structure as it exists in reality, not just fields your immediate test uses.

The fix:

// ✅ GOOD: Mirror real API completeness
const mockResponse = {
  status: 'success',
  data: { userId: '123', name: 'Alice' },
  metadata: { requestId: 'req-789', timestamp: 1234567890 }
  // All fields real API returns
};

Gate Function

BEFORE creating mock responses:
  Check: "What fields does the real API response contain?"

  Actions:
    1. Examine actual API response from docs/examples
    2. Include ALL fields system might consume downstream
    3. Verify mock matches real response schema completely

  Critical:
    If you're creating a mock, you must understand the ENTIRE structure
    Partial mocks fail silently when code depends on omitted fields

  If uncertain: Include all documented fields

Anti-Pattern 5: Integration Tests as Afterthought

The violation:

✅ Implementation complete
❌ No tests written
"Ready for testing"

Why this is wrong:

  • Testing is part of implementation, not optional follow-up
  • TDD would have caught this
  • Can't claim complete without tests

The fix:

TDD cycle:
1. Write failing test
2. Implement to pass
3. Refactor
4. THEN claim complete

When Mocks Become Too Complex

Warning signs:

  • Mock setup longer than test logic
  • Mocking everything to make test pass
  • Mocks missing methods real components have
  • Test breaks when mock changes

your human partner's question: "Do we need to be using a mock here?"

Consider: Integration tests with real components often simpler than complex mocks

TDD Prevents These Anti-Patterns

Why TDD helps: 1. Write test first → Forces you to think about what you're actually testing 2. Watch it fail → Confirms test tests real behavior, not mocks 3. Minimal implementation → No test-only methods creep in 4. Real dependencies → You see what the test actually needs before mocking

If you're testing mock behavior, you violated TDD - you added mocks without watching test fail against real code first.

Quick Reference

Anti-PatternFix
Assert on mock elementsTest real component or unmock it
Test-only methods in productionMove to test utilities
Mock without understandingUnderstand dependencies first, mock minimally
Incomplete mocksMirror real API completely
Tests as afterthoughtTDD - tests first
Over-complex mocksConsider integration tests

Red Flags

  • Assertion checks for *-mock test IDs
  • Methods only called in test files
  • Mock setup is >50% of test
  • Test fails when you remove mock
  • Can't explain why mock is needed
  • Mocking "just to be safe"

The Bottom Line

Mocks are tools to isolate, not things to test.

If TDD reveals you're testing mock behavior, you've gone wrong.

Fix: Test real behavior or question why you're mocking at all.

Related skills

FAQ

Is Testing Anti Patterns safe to install?

skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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