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Use when writing or reviewing tests - covers test philosophy, condition-based waiting, mocking strategy, and test isolation

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Use when writing or reviewing tests - covers test philosophy, condition-based waiting, mocking strategy, and test isolation

SKILL.md

writing-good-tests.SKILL.md
name: writing-good-tests
description: Use when writing or reviewing tests - covers test philosophy, condition-based waiting, mocking strategy, and test isolation
user-invocable: false

Writing Good Tests

Philosophy

**"Write tests. Not too many. Mostly integration."** — Kent C. Dodds

Tests verify real behavior, not implementation details. The goal is confidence that your code works, not coverage numbers.

**Core principles:** 1. Test behavior, not implementation — refactoring shouldn't break tests 2. Integration tests provide better confidence-to-cost ratio than unit tests 3. Wait for actual conditions, not arbitrary timeouts 4. Mock strategically — real dependencies when feasible, mocks for external systems 5. Don't pollute production code with test-only methods

Test Structure

Use **Arrange-Act-Assert** (or Given-When-Then):

test('user can cancel reservation', async () => {
  // Arrange
  const reservation = await createReservation({ userId: 'user-1', roomId: 'room-1' });

  // Act
  const result = await cancelReservation(reservation.id);

  // Assert
  expect(result.status).toBe('cancelled');
  expect(await getReservation(reservation.id)).toBeNull();
});

**One action per test.** Multiple assertions are fine if they verify the same behavior.

Condition-Based Waiting

Flaky tests often guess at timing. This creates race conditions where tests pass locally but fail in CI.

**Wait for conditions, not time:**

// BAD: Guessing at timing
await new Promise(r => setTimeout(r, 50));
const result = getResult();

// GOOD: Waiting for condition
await waitFor(() => getResult() !== undefined);
const result = getResult();

Generic Polling Function

async function waitFor<T>(
  condition: () => T | undefined | null | false,
  description: string,
  timeoutMs = 5000
): Promise<T> {
  const startTime = Date.now();

  while (true) {
    const result = condition();
    if (result) return result;

    if (Date.now() - startTime > timeoutMs) {
      throw new Error(`Timeout waiting for ${description} after ${timeoutMs}ms`);
    }

    await new Promise(r => setTimeout(r, 10)); // Poll every 10ms
  }
}

Quick Patterns

| Scenario | Pattern | |----------|---------| | Wait for event | `waitFor(() => events.find(e => e.type === 'DONE'))` | | Wait for state | `waitFor(() => machine.state === 'ready')` | | Wait for count | `waitFor(() => items.length >= 5)` |

When Arbitrary Timeout IS Correct

Only when testing actual timing behavior (debounce, throttle, intervals):

// Testing tool that ticks every 100ms
await waitForEvent(manager, 'TOOL_STARTED'); // First: wait for condition
await new Promise(r => setTimeout(r, 200));   // Then: wait for 2 ticks
// Comment explains WHY: 200ms = 2 ticks at 100ms intervals

Mocking Strategy

> "You don't hate mocks; you hate side-effects." — J.B. Rainsberger

Mocks reveal where side-effects complicate your code. Use them strategically, not reflexively.

Don't Mock What You Don't Own

Create thin wrappers around third-party libraries. Mock YOUR wrapper, not the library.

// BAD: Mock the HTTP client directly
const mockClient = vi.mocked(httpx.Client);

// GOOD: Create your own wrapper
class RegistryClient {
  constructor(private client: HttpClient) {}
  async getRepos() {
    return this.client.get('https://registry.example.com/v2/_catalog');
  }
}

// Mock your wrapper
vi.mock('./registry-client');

This simplifies tests AND improves your design.

Managed vs Unmanaged Dependencies

| Dependency Type | Example | Strategy | |-----------------|---------|----------| | **Managed** (you control it) | Your database, your file system | Use REAL instances | | **Unmanaged** (external) | Third-party APIs, SMTP, message bus | Use MOCKS |

Communications with managed dependencies are implementation details — you can refactor them freely. Communications with unmanaged dependencies are observable behavior — mocking protects against external changes.

Anti-Pattern: Testing Mock Behavior

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

// GOOD: Test real behavior
test('renders sidebar', () => {
  render(<Page />);
  expect(screen.getByRole('navigation')).toBeInTheDocument();
});

**Gate:** Before asserting on any mock element, ask: "Am I testing real behavior or mock existence?"

Anti-Pattern: Mocking Without Understanding

// 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!
});

// GOOD: Mock at correct level
test('detects duplicate server', () => {
  vi.mock('MCPServerManager'); // Just mock slow server startup
  await addServer(config);  // Config written
  await addServer(config);  // Duplicate detected
});

**Gate:** Before mocking, ask: "What side effects does this have? Does my test depend on them?"

Anti-Pattern: Incomplete Mocks

Mock the COMPLETE data structure as it exists in reality:

// BAD: Partial mock
const mockResponse = {
  status: 'success',
  data: { userId: '123' }
  // Missing: metadata that downstream code uses
};

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

When Mocks Become Too Complex

Warning signs:

  • Mock setup longer than test logic
  • Mocking everything to make test pass
  • Test breaks when mock changes

> "As the number of mocks grows, the probability of testing the mock instead of the desired code goes up." — Codurance

Consider integration tests with real componen

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This is my collection of plugins that I use on a day-to-day basis for getting stuff done with Claude Code. Most of these are development-oriented in some way or another, but also often end up being useful for other things.

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