Afrexai Qa Engine

# QA & Test Engineering Command Center

Complete quality assurance system — from test strategy to automation frameworks, coverage analysis, and release readiness. Works for any stack, any team size.

## When to Use

- Planning test strategy for a new feature or project
- Writing unit, integration, or E2E tests
- Reviewing test quality and coverage gaps
- Setting up test automation and CI/CD quality gates
- Performance testing and load analysis
- Security testing checklist
- Bug triage and defect management
- Release readiness assessment

---

## Phase 1: Test Strategy

### Strategy Brief

Before writing any tests, define the strategy:

```yaml
# test-strategy.yaml
project: "[name]"
scope: "[feature/module/full product]"
risk_level: high | medium | low
stack:
  language: "[TypeScript/Python/Java/Go]"
  framework: "[React/Express/Django/Spring]"
  test_runner: "[Jest/Vitest/pytest/JUnit/Go test]"
  e2e_tool: "[Playwright/Cypress/Selenium]"

# What are we testing?
test_scope:
  - area: "[e.g., Auth module]"
    risk: high
    test_types: [unit, integration, e2e]
    priority: 1
  - area: "[e.g., Settings page]"
    risk: low
    test_types: [unit]
    priority: 3

# What's NOT in scope (and why)
exclusions:
  - "[e.g., Third-party widget — covered by vendor]"

# Quality targets
targets:
  line_coverage: 80
  branch_coverage: 70
  critical_path_coverage: 100
  max_flaky_rate: 2%
  max_test_duration_unit: 10ms
  max_test_duration_integration: 500ms
  max_test_duration_e2e: 30s
```

### Risk-Based Test Allocation

Not everything needs the same testing depth. Use the risk matrix:

| Risk Level | Unit Tests | Integration | E2E | Manual/Exploratory |
|-----------|-----------|-------------|-----|-------------------|
| **Critical** (payments, auth, data loss) | 95%+ coverage | Full API coverage | Happy + error paths | Exploratory session |
| **High** (core features, user-facing) | 85%+ coverage | Key integrations | Happy path | Spot check |
| **Medium** (secondary features) |...

# AfrexAI QA & Test Engineering Command Center

Complete quality assurance system for AI-powered agents — test strategy, automation frameworks, coverage analysis, performance testing, security audits, bug triage, and release readiness. Works for any stack, any team size.

## Install

```bash
clawhub install afrexai-qa-engine
```

## What It Does

Turn your AI agent into a senior QA engineer. This skill provides:

- **Test Strategy** — Risk-based test allocation, test pyramid enforcement
- **Unit Testing** — AAA pattern, mock guidelines, coverage targets, naming conventions
- **Integration Testing** — API contract testing, database integration, external service patterns
- **E2E Testing** — User journey templates, flaky test management, strategic test selection
- **Performance Testing** — Load/stress/spike/soak test plans with metric dashboards
- **Security Testing** — OWASP Top 10 checklist, auth/input/data/infra audit
- **Bug Triage** — Severity classification, bug report templates, weekly triage process
- **Release Readiness** — 5-dimension scoring (≥80 to ship), full checklist
- **CI/CD Quality Gates** — Pipeline gate configuration, automation maturity model
- **Test Maintenance** — Weekly health reviews, anti-pattern detection, hygiene rules

## Quick Start

Tell your agent:
- "Create test strategy for the auth module"
- "Write unit tests for calculateDiscount()"
- "Security checklist for the payment flow"
- "Release readiness check for v2.1"

## ⚡ Level Up

This free skill covers QA methodology. For industry-specific testing contexts (compliance requirements, regulatory testing, domain-specific edge cases):

**[SaaS Context Pack ($47)](https://afrexai-cto.github.io/context-packs/)** — SaaS-specific testing patterns, multi-tenant edge cases, subscription billing tests

**[Healthcare Context Pack ($47)](https://afrexai-cto.github.io/context-packs/)** — HIPAA compliance testing, PHI data handling, audit trail verification

**[Fintech Context Pack ($47)](https://af...