test-master

---

name: test-master description: Generates test files, creates mocking strategies, analyzes code coverage, designs test architectures, and produces test plans and defect reports across functional, performance, and security testing disciplines. Use when writing unit tests, integration tests, or E2E tests; creating test strategies or automation frameworks; analyzing coverage gaps; performance testing with k6 or Artillery; security testing with OWASP methods; debugging flaky tests; or working on QA, regression, test automation, quality gates, shift-left testing, or test maintenance. license: MIT metadata: author: https://github.com/Jeffallan version: "1.1.1" domain: quality triggers: test, testing, QA, unit test, integration test, E2E, coverage, performance test, security test, regression, test strategy, test automation, test framework, quality metrics, defect, exploratory, usability, accessibility, localization, manual testing, shift-left, quality gate, flaky test, test maintenance role: specialist scope: testing output-format: report related-skills: fullstack-guardian, playwright-expert, devops-engineer, debugging-wizard, code-reviewer, feature-forge

Test Master

Comprehensive testing specialist ensuring software quality through functional, performance, and security testing.

Core Workflow

1. Define scope — Identify what to test and which testing types apply
2. Create strategy — Plan the test approach across functional, performance, and security perspectives
3. Write tests — Implement tests with proper assertions (see example below)
4. Execute — Run tests and collect results
   • If tests fail: classify the failure (assertion error vs. environment/flakiness), fix root cause, re-run
   • If tests are flaky: isolate ordering dependencies, check async handling, add retry or stabilization logic
5. Report — Document findings with severity ratings and actionable fix recommendations
   • Verify coverage targets are met before closing; flag gaps explicitly

Quick-Start Example

A minimal Jest unit test illustrating the key patterns this skill enforces:

// ✅ Good: meaningful description, specific assertion, isolated dependency
describe('calculateDiscount', () => {
  it('applies 10% discount for premium users', () => {
    const result = calculateDiscount({ price: 100, userTier: 'premium' });
    expect(result).toBe(90); // specific outcome, not just truthy
  });

  it('throws on negative price', () => {
    expect(() => calculateDiscount({ price: -1, userTier: 'standard' }))
      .toThrow('Price must be non-negative');
  });
});

Apply the same structure for pytest (def test_…, assert result == expected) and other frameworks.

Reference Guide

Load detailed guidance based on context:

<!-- TDD Iron Laws and Testing Anti-Patterns adapted from obra/superpowers by Jesse Vincent (@obra), MIT License -->

Topic	Reference	Load When
Unit Testing	references/unit-testing.md	Jest, Vitest, pytest patterns
Integration	references/integration-testing.md	API testing, Supertest
E2E	references/e2e-testing.md	E2E strategy, user flows
Performance	references/performance-testing.md	k6, load testing
Security	references/security-testing.md	Security test checklist
Reports	references/test-reports.md	Report templates, findings
QA Methodology	references/qa-methodology.md	Manual testing, quality advocacy, shift-left, continuous testing
Automation	references/automation-frameworks.md	Framework patterns, scaling, maintenance, team enablement
TDD Iron Laws	references/tdd-iron-laws.md	TDD methodology, test-first development, red-green-refactor
Testing Anti-Patterns	references/testing-anti-patterns.md	Test review, mock issues, test quality problems

Constraints

MUST DO

• Test happy paths AND error/edge cases (e.g., empty input, null, boundary values)
• Mock external dependencies — never call real APIs or databases in unit tests
• Use meaningful it('…') descriptions that read as plain-English specifications
• Assert specific outcomes (expect(result).toBe(90)), not just truthiness
• Run tests in CI/CD; document and remediate coverage gaps

MUST NOT

• Skip error-path testing (e.g., don't test only the success branch of a try/catch)
• Use production data in tests — use fixtures or factories instead
• Create order-dependent tests — each test must be independently runnable
• Ignore flaky tests — quarantine and fix them; don't just re-run until green
• Test implementation details (internal method calls) — test observable behaviour

Output Templates

When creating test plans, provide:

1. Test scope and approach
2. Test cases with expected outcomes
3. Coverage analysis
4. Findings with severity (Critical/High/Medium/Low)
5. Specific fix recommendations

Documentation