Skip to content
cccskills
FreePublished on GitHub

tdd-red

Write comprehensive failing tests following TDD red phase principles.

The English summary is being prepared. Showing the original description.

See how to install

Files included (1)

  • SKILL.md4.0 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Write comprehensive failing tests following TDD red phase principles.

[Extended thinking: Generates failing tests that properly define expected behavior using test-automator agent.]

Role

Generate failing tests using Task tool with subagent_type="unit-testing::test-automator".

Prompt Template

"Generate comprehensive FAILING tests for: (use the user's prompt)

Core Requirements

  1. Test Structure

    • Framework-appropriate setup (Jest/pytest/JUnit/Go/RSpec)
    • Arrange-Act-Assert pattern
    • should_X_when_Y naming convention
    • Isolated fixtures with no interdependencies
  2. Behavior Coverage

    • Happy path scenarios
    • Edge cases (empty, null, boundary values)
    • Error handling and exceptions
    • Concurrent access (if applicable)
  3. Failure Verification

    • Tests MUST fail when run
    • Failures for RIGHT reasons (not syntax/import errors)
    • Meaningful diagnostic error messages
    • No cascading failures
  4. Test Categories

    • Unit: Isolated component behavior
    • Integration: Component interaction
    • Contract: API/interface contracts
    • Property: Mathematical invariants

Framework Patterns

JavaScript/TypeScript (Jest/Vitest)

  • Mock dependencies with vi.fn() or jest.fn()
  • Use @testing-library for React components
  • Property tests with fast-check

Python (pytest)

  • Fixtures with appropriate scopes
  • Parametrize for multiple test cases
  • Hypothesis for property-based tests

Go

  • Table-driven tests with subtests
  • t.Parallel() for parallel execution
  • Use testify/assert for cleaner assertions

Ruby (RSpec)

  • let for lazy loading, let! for eager
  • Contexts for different scenarios
  • Shared examples for common behavior

Quality Checklist

  • Readable test names documenting intent
  • One behavior per test
  • No implementation leakage
  • Meaningful test data (not 'foo'/'bar')
  • Tests serve as living documentation

Anti-Patterns to Avoid

  • Tests passing immediately
  • Testing implementation vs behavior
  • Complex setup code
  • Multiple responsibilities per test
  • Brittle tests tied to specifics

Edge Case Categories

  • Null/Empty: undefined, null, empty string/array/object
  • Boundaries: min/max values, single element, capacity limits
  • Special Cases: Unicode, whitespace, special characters
  • State: Invalid transitions, concurrent modifications
  • Errors: Network failures, timeouts, permissions

Output Requirements

  • Complete test files with imports
  • Documentation of test purpose
  • Commands to run and verify failures
  • Metrics: test count, coverage areas
  • Next steps for green phase"

Validation

After generation:

  1. Run tests - confirm they fail
  2. Verify helpful failure messages
  3. Check test independence
  4. Ensure comprehensive coverage

Example (Minimal)

// auth.service.test.ts
describe("AuthService", () => {
  let authService: AuthService;
  let mockUserRepo: jest.Mocked<UserRepository>;

  beforeEach(() => {
    mockUserRepo = { findByEmail: jest.fn() } as any;
    authService = new AuthService(mockUserRepo);
  });

  it("should_return_token_when_valid_credentials", async () => {
    const user = { id: "1", email: "test@example.com", passwordHash: "hashed" };
    mockUserRepo.findByEmail.mockResolvedValue(user);

    const result = await authService.authenticate("test@example.com", "pass");

    expect(result.success).toBe(true);
    expect(result.token).toBeDefined();
  });

  it("should_fail_when_user_not_found", async () => {
    mockUserRepo.findByEmail.mockResolvedValue(null);

    const result = await authService.authenticate("none@example.com", "pass");

    expect(result.success).toBe(false);
    expect(result.error).toBe("INVALID_CREDENTIALS");
  });
});

Test requirements: (use the user's prompt)

Output Format

<result>
  <analysis>Brief analysis</analysis>
  <solution>Implementation</solution>
  <considerations>Trade-offs and notes</considerations>
</result>

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Audit UI code for WCAG compliance

The English summary is being prepared. Showing the original description.

itsimonfredlingjack/codex-dev-plugin2Updated Feb 5, 2026

Expert accessibility specialist ensuring WCAG compliance, inclusive design, and assistive technology compatibility. Masters screen reader optimization, keyboard navigation, and a11y testing methodologies. Use PROACTIVELY when auditing accessibility, remediating a11y issues, building accessible components, or ensuring inclusive user experiences.

The English summary is being prepared. Showing the original description.

itsimonfredlingjack/codex-dev-plugin2Updated Feb 5, 2026

Skill for accessibility-patterns tasks.

The English summary is being prepared. Showing the original description.

itsimonfredlingjack/codex-dev-plugin2Updated Feb 5, 2026

Build AI assistant application with NLU, dialog management, and integrations

The English summary is being prepared. Showing the original description.

itsimonfredlingjack/codex-dev-plugin2Updated Feb 5, 2026

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered applications.

The English summary is being prepared. Showing the original description.

itsimonfredlingjack/codex-dev-plugin2Updated Feb 5, 2026

You are an expert AI-powered code review specialist combining automated static analysis, intelligent pattern recognition, and modern DevOps practices. Leverage AI tools (GitHub Copilot, Qodo, GPT-5, Claude 4.5 Sonnet) with battle-tested platforms (SonarQube, CodeQL, Semgrep) to identify bugs, vulnerabilities, and performance issues.

The English summary is being prepared. Showing the original description.

itsimonfredlingjack/codex-dev-plugin2Updated Feb 5, 2026

See all skills by itsimonfredlingjack

Report a problem with this skill