qa-expert

安装量: 40
排名: #17988

安装

npx skills add https://github.com/daymade/claude-code-skills --skill qa-expert

QA Expert

Establish world-class QA testing processes for any software project using proven methodologies from Google Testing Standards and OWASP security best practices.

When to Use This Skill

Trigger this skill when:

Setting up QA infrastructure for a new or existing project Writing standardized test cases (AAA pattern compliance) Executing comprehensive test plans with progress tracking Implementing security testing (OWASP Top 10) Filing bugs with proper severity classification (P0-P4) Generating QA reports (daily summaries, weekly progress) Calculating quality metrics (pass rate, coverage, gates) Preparing QA documentation for third-party team handoffs Enabling autonomous LLM-driven test execution Quick Start

One-command initialization:

python scripts/init_qa_project.py [output-directory]

What gets created:

Directory structure (tests/docs/, tests/e2e/, tests/fixtures/) Tracking CSVs (TEST-EXECUTION-TRACKING.csv, BUG-TRACKING-TEMPLATE.csv) Documentation templates (BASELINE-METRICS.md, WEEKLY-PROGRESS-REPORT.md) Master QA Prompt for autonomous execution README with complete quickstart guide

For autonomous execution (recommended): See references/master_qa_prompt.md - single copy-paste command for 100x speedup.

Core Capabilities 1. QA Project Initialization

Initialize complete QA infrastructure with all templates:

python scripts/init_qa_project.py [output-directory]

Creates directory structure, tracking CSVs, documentation templates, and master prompt for autonomous execution.

Use when: Starting QA from scratch or migrating to structured QA process.

  1. Test Case Writing

Write standardized, reproducible test cases following AAA pattern (Arrange-Act-Assert):

Read template: assets/templates/TEST-CASE-TEMPLATE.md Follow structure: Prerequisites (Arrange) → Test Steps (Act) → Expected Results (Assert) Assign priority: P0 (blocker) → P4 (low) Include edge cases and potential bugs

Test case format: TC-[CATEGORY]-[NUMBER] (e.g., TC-CLI-001, TC-WEB-042, TC-SEC-007)

Reference: See references/google_testing_standards.md for complete AAA pattern guidelines and coverage thresholds.

  1. Test Execution & Tracking

Ground Truth Principle (critical):

Test case documents (e.g., 02-CLI-TEST-CASES.md) = authoritative source for test steps Tracking CSV = execution status only (do NOT trust CSV for test specifications) See references/ground_truth_principle.md for preventing doc/CSV sync issues

Manual execution:

Read test case from category document (e.g., 02-CLI-TEST-CASES.md) ← always start here Execute test steps exactly as documented Update TEST-EXECUTION-TRACKING.csv immediately after EACH test (never batch) File bug in BUG-TRACKING-TEMPLATE.csv if test fails

Autonomous execution (recommended):

Copy master prompt from references/master_qa_prompt.md Paste to LLM session LLM auto-executes, auto-tracks, auto-files bugs, auto-generates reports

Innovation: 100x faster vs manual + zero human error in tracking + auto-resume capability.

  1. Bug Reporting

File bugs with proper severity classification:

Required fields:

Bug ID: Sequential (BUG-001, BUG-002, ...) Severity: P0 (24h fix) → P4 (optional) Steps to Reproduce: Numbered, specific Environment: OS, versions, configuration

Severity classification:

P0 (Blocker): Security vulnerability, core functionality broken, data loss P1 (Critical): Major feature broken with workaround P2 (High): Minor feature issue, edge case P3 (Medium): Cosmetic issue P4 (Low): Documentation typo

Reference: See BUG-TRACKING-TEMPLATE.csv for complete template with examples.

  1. Quality Metrics Calculation

Calculate comprehensive QA metrics and quality gates status:

python scripts/calculate_metrics.py

Metrics dashboard includes:

Test execution progress (X/Y tests, Z% complete) Pass rate (passed/executed %) Bug analysis (unique bugs, P0/P1/P2 breakdown) Quality gates status (✅/❌ for each gate)

Quality gates (all must pass for release):

Gate Target Blocker Test Execution 100% Yes Pass Rate ≥80% Yes P0 Bugs 0 Yes P1 Bugs ≤5 Yes Code Coverage ≥80% Yes Security 90% OWASP Yes 6. Progress Reporting

Generate QA reports for stakeholders:

Daily summary (end-of-day):

Tests executed, pass rate, bugs filed Blockers (or None) Tomorrow's plan

Weekly report (every Friday):

Use template: WEEKLY-PROGRESS-REPORT.md (created by init script) Compare against baseline: BASELINE-METRICS.md Assess quality gates and trends

Reference: See references/llm_prompts_library.md for 30+ ready-to-use reporting prompts.

  1. Security Testing (OWASP)

Implement OWASP Top 10 security testing:

Coverage targets:

A01: Broken Access Control - RLS bypass, privilege escalation A02: Cryptographic Failures - Token encryption, password hashing A03: Injection - SQL injection, XSS, command injection A04: Insecure Design - Rate limiting, anomaly detection A05: Security Misconfiguration - Verbose errors, default credentials A07: Authentication Failures - Session hijacking, CSRF Others: Data integrity, logging, SSRF

Target: 90% OWASP coverage (9/10 threats mitigated).

Each security test follows AAA pattern with specific attack vectors documented.

Day 1 Onboarding

For new QA engineers joining a project, complete 5-hour onboarding guide:

Read: references/day1_onboarding.md

Timeline:

Hour 1: Environment setup (database, dev server, dependencies) Hour 2: Documentation review (test strategy, quality gates) Hour 3: Test data setup (users, CLI, DevTools) Hour 4: Execute first test case Hour 5: Team onboarding & Week 1 planning

Checkpoint: By end of Day 1, environment running, first test executed, ready for Week 1.

Autonomous Execution (⭐ Recommended)

Enable LLM-driven autonomous QA testing with single master prompt:

Read: references/master_qa_prompt.md

Features:

Auto-resume from last completed test (reads tracking CSV) Auto-execute test cases (Week 1-5 progression) Auto-track results (updates CSV after each test) Auto-file bugs (creates bug reports for failures) Auto-generate reports (daily summaries, weekly reports) Auto-escalate P0 bugs (stops testing, notifies stakeholders)

Benefits:

100x faster execution vs manual Zero human error in tracking Consistent bug documentation Immediate progress visibility

Usage: Copy master prompt, paste to LLM, let it run autonomously for 5 weeks.

Adapting for Your Project Small Project (50 tests) Timeline: 2 weeks Categories: 2-3 (e.g., Frontend, Backend) Daily: 5-7 tests Reports: Daily summary only Medium Project (200 tests) Timeline: 4 weeks Categories: 4-5 (CLI, Web, API, DB, Security) Daily: 10-12 tests Reports: Daily + weekly Large Project (500+ tests) Timeline: 8-10 weeks Categories: 6-8 (multiple components) Daily: 10-15 tests Reports: Daily + weekly + bi-weekly stakeholder Reference Documents

Access detailed guidelines from bundled references:

references/day1_onboarding.md - 5-hour onboarding guide for new QA engineers references/master_qa_prompt.md - Single command for autonomous LLM execution (100x speedup) references/llm_prompts_library.md - 30+ ready-to-use prompts for specific QA tasks references/google_testing_standards.md - AAA pattern, coverage thresholds, fail-fast validation references/ground_truth_principle.md - Preventing doc/CSV sync issues (critical for test suite integrity) Assets & Templates

Test case templates and bug report formats:

assets/templates/TEST-CASE-TEMPLATE.md - Complete template with CLI and security examples Scripts

Automation scripts for QA infrastructure:

scripts/init_qa_project.py - Initialize QA infrastructure (one command setup) scripts/calculate_metrics.py - Generate quality metrics dashboard Common Patterns Pattern 1: Starting Fresh QA 1. python scripts/init_qa_project.py my-app ./ 2. Fill in BASELINE-METRICS.md (document current state) 3. Write test cases using assets/templates/TEST-CASE-TEMPLATE.md 4. Copy master prompt from references/master_qa_prompt.md 5. Paste to LLM → autonomous execution begins

Pattern 2: LLM-Driven Testing (Autonomous) 1. Read references/master_qa_prompt.md 2. Copy the single master prompt (one paragraph) 3. Paste to LLM conversation 4. LLM executes all 342 test cases over 5 weeks 5. LLM updates tracking CSVs automatically 6. LLM generates weekly reports automatically

Pattern 3: Adding Security Testing 1. Read references/google_testing_standards.md (OWASP section) 2. Write TC-SEC-XXX test cases for each OWASP threat 3. Target 90% coverage (9/10 threats) 4. Document mitigations in test cases

Pattern 4: Third-Party QA Handoff 1. Ensure all templates populated 2. Verify BASELINE-METRICS.md complete 3. Package tests/docs/ folder 4. Include references/master_qa_prompt.md for autonomous execution 5. QA team can start immediately (Day 1 onboarding → 5 weeks testing)

Success Criteria

This skill is effective when:

✅ Test cases are reproducible by any engineer ✅ Quality gates objectively measured ✅ Bugs fully documented with repro steps ✅ Progress visible in real-time (CSV tracking) ✅ Autonomous execution enabled (LLM can execute full plan) ✅ Third-party QA teams can start testing immediately

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