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- Disaster Recovery Testing Skill: Connect RTO and RPO to a recovery path someone can verify
- Failover Testing Skill: Prove the active path changes without losing the business state
- Where AI Actually Helps in Testing—and Where It Only Looks Like It Does
- Circuit Breaker Testing Skill: Verify open, half-open, and recovery behavior under dependency failure
- Dependency Failure Testing Skill: Make timeout, stale data, and partial failure observable
- Agent Long-Running Testing Skill: Keep progress, leases, and cancellation visible during long jobs
- Multi-Agent Testing Skill: Check handoffs, authority, and disagreement across agent roles
- Agent Loop Testing: Measure Progress and Stop Safely
- Strategy Is a Loop, Not a Plan: Combining OODA with the Strategic Kernel
- Agent Failure Recovery Testing: Plan Safe Retries
- From Script Writer to Test Strategist: How AI Shifts QA's Work
- Skill Quality Engineering: The Model, a Practical Guide, and 12 Articles
- AI Agent Testing: Systematically validate planning, memory, tool use, and failure recovery
- PHP2Shell: How AI Helped Uncover Long-Lived PHP Vulnerabilities
- Agent Memory Testing Skill: Keep remembered facts scoped, current, and safe to reuse
- How to Test with a Screen Reader
- From Prompts to Skills: Turning Personal AI Testing Practices into Team Workflows
- Secrets-Exposure Review Skill: Trace Credentials Across Config, Logs, and Rotation
- How to Compare Direct Chat, Prompts, and Skills on One Requirement
- From Test Management to Quality Management Systems: Finding Friction in the Work System
- API Security Testing Skill: Verify the Security Boundary from Identity to Object
- Session-Security Testing Skill: Review Creation, Revocation, Expiry, and Device Boundaries
- Can You Trust AI-Generated Test Cases? Finding Gaps and Weak Assertions
- From Test Cases to Test Automation: Let AI Help Write and Run Tests
- Vibe Testing: Validate AI-Generated Software Through Test Intent
- Authentication Testing: Credential and Session Lifecycles
- When Roles Overlap: How QA Can Develop New Specialisations
- RSAT Migration: From Test Inventory to Coverage Equivalence
- Using Skills for Software Testing: Turning Test Methods into Reusable Workflows
- Authorization Testing Skill: Prove the right identity can take the right action on the right resource
- Using Prompts for Software Testing: Getting More Useful AI Outputs
- Agent Permission Testing Skill: Verify tool access, identity, and refusal at every boundary
- Direct Chat for Software Testing: From Requirements to Test Cases
- Agent Tool Call Testing: Focus on parameters, permissions, idempotency, and side effects
- Prompt Injection Testing: Validate how agents resist injection, data leakage, and unauthorized calls
- How Much Testing Is Enough? Decide by Risk and Evidence
- How to Use AI for Software Testing: From Direct Questions to Prompts and Skills
- AI Safety Testing: Policy, Abuse, and Escalation Review
- Agentic PR Reviews: Code Review Does Not Have to Wait for a PR
- Are LLMs Making Developers Lazy? Code Taste, Judgment, and Engineering Ownership
- LLM Consistency Testing Skill: Tell useful variation from a broken output contract
- LLM Hallucination Testing Skill: Catch unsupported claims before they become trusted answers
- Agile testing across a sprint: what each Skill does at each handoff
- Feature-Led Security Research: What QA Can Learn from a Bug Bounty Researcher
- The Skill Quality Loop: Applying QA Engineering to Agent Skills
- AI-Generated Test Review: Traceability and False Confidence
- RAG Quality Testing Skill: Check Grounding, Relevance, and Safe Abstention
- Release testing with Skills: each handoff from scope to Go/No-Go
- Testing Country-Specific Cookie Banners: From UI Promises to Network Evidence
- Skill Evidence: What Does PASS Actually Prove?
- AI Feature Testing: Validate AI product functionality, degradation, privacy, and feedback mechanisms
- RAG Retrieval Testing Skill: Find Recall and Ranking Gaps Before They Reach Answers
- Exploratory testing with Skills: a mission, a time box, and usable evidence
- When AI Makes Building Faster: Which Friction Should We Keep?
- API Rate Limit Testing: Quota, Burst, and Recovery
- API Version Compatibility Testing Skill: Find the consumer break before the rollout does
- From Test Cases to AI-Ready Quality Data: Making Tests Useful Context for AI
- A daily QA loop with Awesome QA Skills: plan, test, report
- Be Yourself and Bring the Fun Back to Quality Work
- API Idempotency Testing: Build a Replay Test Plan
- API Pagination Testing Skill: Catch gaps, duplicates, and unstable ordering across changing data
- Building Reliable Background Agent Automations: State, Failure, and Permissions
- Why AI-written test cases miss the business—and how to give a Skill the right context
- API Error Contract Testing: Check Responses and Meaning
- API Negative Testing: Design Rejection and Safety Checks
- API Design Quality Review: Define Contracts Before Build
- API Schema Validation Skill: Keep real payloads aligned with the contract at the edges
- Rethinking the Testing Pyramid: From Test Ratios to Feedback Economics
- Automation ROI Analysis Skill: Costs, Savings and Break-Even
- Test Runtime Optimization Skill: Shorten Slow Feedback with a Trusted Baseline
- When Quality Engineering Creates Chaos: Why QE Transformation Requires System Change
- CI Test Optimization Skill: Spend pipeline time where feedback changes the decision
- Regression Optimization Skill: Cut Feedback Time Without Dropping Risk
- Safe AI Self-Healing Automation: Keep Locator Recovery Under Control
- Skill Regression Testing: Proving Changes Did Not Break Existing Behavior
- Cross-Browser Testing: Evidence-Based Coverage Matrix
- Visual Regression Testing Skill: Define Baselines Before Calling a Diff a Defect
- Agent Skill Compatibility: Agents, Models, Tools, and Environments
- Managing Distributed QA Teams: Agreements, Evidence, and Continuous Improvement
- UI Test Selector Review Skill: Replace Brittle Locators with Stable Intent
- UI Test Wait Strategy Review Skill: Replace Sleeps with Observable Conditions
- How to Test a Chatbot: Five Quality Dimensions and a Practical QA Checklist
- Timeout Testing Skill: Connect Budgets, Cancellation, Feedback, and Retries
- UI Test Strategy Skill: Map Journeys, States, Platforms, and Risk Before Automation
- How to Build an AI Testing Strategy: Five Shifts Toward Evidence-Based Confidence
- Skill Benchmarking: Is the Skill Actually Better Than the Baseline?
- Retry Testing Skill: Prove Backoff and Idempotency Before Duplicates Multiply
- Test Maintenance Cost Analysis Skill: Make Repair Effort and Flaky Cost Visible
- Everyday AI Coding for Testers: Skills, Guardrails, and a Human-Reviewed Workflow
- Designing Skill Evals: From Success Criteria to Evidence
- Mock Quality Review Skill: Keep test doubles useful without making the system look healthier than it is
- Test Suite Health Analysis Skill: Diagnose Flakiness, Duplication, and Quarantine Debt
- Test Code Review Skill: Find Assertion, Isolation, and Determinism Risks
- Test Gap Analysis Skill: Turn Unprotected Obligations into Actionable TG Findings
- The Mindsets Quality Model: 12 Perspectives for Finding Blind Spots in AI-Assisted Testing
- Metamorphic Testing Skill: Test transformations when a single expected answer is not enough
- Mutation Testing Analysis Skill: Learn which tests notice a meaningful rule change
- Test Data Requirement Analysis Skill: Specify the Data a Test Can Safely Consume
- Test Effectiveness Analysis Skill: Connect Test Signals to Risk and Defects
- Model-Based Testing Skill: Turn states and transitions into coverage you can explain
- Property-Based Testing Skill: Test invariants across many generated inputs
- Signal vs Noise in AI-Era Testing: Don't Just Use AI to Go Faster
- Skill Behavior Testing: Evaluate Contracts, Not Exact Answers
- Combinatorial Testing Skill: Cover interacting factors without multiplying every possibility
- Pairwise Testing Skill: Cover the interactions most likely to expose a defect
- Decision Table Testing Skill: Expose rule combinations before they become production exceptions
- State Transition Testing Skill: Derive Reachable and Abnormal Paths from Real Rules
- Skill Trigger Testing: Can the Agent Select the Right Skill?
- Boundary Value Testing Skill: Make the edge of a rule explicit before the data crosses it
- Equivalence Partitioning Skill: Reduce input space without losing the rule that matters
- The Skill Testing Pyramid: How Much Testing Is Enough?
- Edge Case Discovery Skill: Find the awkward states a happy-path requirement leaves behind
- Negative Scenario Discovery Skill: Find the failure paths the happy journey carefully avoids
- It's Always a People Problem: The Reality Behind AI in Testing
- Defining Agent Skill Quality: The SQEM Model
- Risk-Based Testing Skill: Turn Risk Evidence into Test Depth and Scope
- Test Scope Analysis Skill: Make Inclusion, Exclusion, and Expansion Boundaries Explicit
- How Can You Test a System You Don't Understand?
- Business Rule Extraction Skill: Turn policy prose into rules a team can actually verify
- Requirement Traceability Analysis Skill: Build a Bidirectional Evidence Trail
- dsh-qa v0.7.2: DeepSeek Harness Desktop Support and Conversation History Fixes
- What Is an Agent Skill? From Specification to Runtime
- Requirement Conflict Detection Skill: Separate Real Contradictions from Scope Differences
- Requirement Consistency Analysis Skill: Compare Terms, States, and Rules Across Artifacts
- Testing Agent Skills: Why “It Works” Does Not Mean “It’s Good”
- Requirement Ambiguity Analysis Skill: Turn Vague Wording into Closeable Questions
- Requirement Quality Review Skill: Prepare a Requirement for Design and Testing
- LLM Evaluation Design: From task sets and scoring criteria to model regression gates
- LLM Testing: Systematically validate factual accuracy, refusal behavior, and safety boundaries
- DeepSeek Harness Official Desktop Preview Is Available — dsh-qa Now Supports It
- AI-Assisted Testing: Improve testing efficiency while retaining test evidence
- Prompt Testing: Systematically validate prompt accuracy, boundaries, and multi-turn consistency
- Security Testing: Systematically identify security risk from assets, permissions, and attack surfaces
- Multi-Role Quality Synthesis: Preserve different perspectives and reach actionable quality decisions
- Project Delivery Perspective: Include scope, dependencies, and delivery risk in quality decisions
- Awesome QA Skills Update: From a QA Skill Collection to a Governed AI QA Skills Ecosystem
- Technical Quality Perspective: Include architecture, reliability, and maintainability in quality decisions
- UX Quality Perspective: Bring user task flows and usability issues into quality decisions
- dsh-qa v0.5.3: From Harness Compatibility to a Native QA Workbench
- Product Quality Perspective: Bring user value and business impact into quality decisions
- QA Quality Perspective: Use coverage, risk, and evidence to support quality conclusions
- Production Incident Analysis: From incident timeline to containment, validation, and retrospective actions
- Production Verification: Verify business flows, metrics, logs, and rollback conditions after release
- Root Cause Analysis: Move from symptoms to hypotheses and find a verifiable root cause
- Distributed Trace Analysis: Use a trace to locate cross-service latency and error propagation
- Log Analysis: Cluster errors at scale and locate post-release issues
- Metrics Anomaly Analysis: Use anomalous metrics to locate the time window, impact, and candidate causes
- Capacity Planning Analysis: Use business growth and resource curves to judge remaining system capacity
- Performance Bottleneck Analysis: Combine load tests, metrics, and traces to find the real limiting resource
- Performance Regression Analysis: Compare versions to determine whether performance really regressed
- Performance Result Analysis: Read load-test results from throughput and tail latency to errors and resource use
- Gatling Performance Testing: Turn real workload models into executable load-test scripts
- JMeter Performance Testing: Turn real workload models into executable load-test scripts
- k6 Performance Testing: Turn real workload models into executable load-test scripts
- Performance Testing: Turn “the system must be fast” into executable, verifiable goals
- Performance Workload Modeling: Build realistic workload models from production traffic and user behavior
- Flaky Test Analysis: Why do flaky tests fail intermittently?
- Regression Scope Analysis: Define regression boundaries from changes, dependencies, and past defects
- Regression Test Selection: Find the smallest sufficient regression suite
- Change Impact Analysis: Trace service, data, test, and release impact from a code change
- Code Review: Look beyond code changes to behavior and risk
- PR Test Impact Analysis: Quickly locate affected test scope from code changes
- REST Assured API Automation: Turn API definitions into sustainable CI regression
- Supertest API Automation: Turn API definitions into sustainable CI regression
- QCov: From Passing Tests to Reviewable Quality Evidence
- Pytest API Automation: Turn API definitions into sustainable CI regression
- What a 404 Revealed About Plugin Compatibility: dsh-qa and DeepSeek Harness API Evolution
- AI Test Auditor: Inspect what AI-generated tests actually verify
- API Contract Testing: Identify consumer compatibility and migration risk from API changes
- Bruno API Automation: Turn API definitions into sustainable CI regression
- Postman API Testing: Turn API definitions into sustainable CI regression
- API Testing: Move from an endpoint list to authorization, contracts, exceptions, and idempotency validation
- Puppeteer UI Automation Testing: Build reliable regression with stable locators and controlled data
- TestCafe UI Automation Testing: Build reliable regression with stable locators and controlled data
- Cypress UI Automation Testing: Build reliable regression with stable locators and controlled data
- Selenium UI Automation Testing: Build reliable regression with stable locators and controlled data
- WebdriverIO UI Automation Testing: Build reliable regression with stable locators and controlled data
- Automation Testing: Decide what to automate before choosing tools and frameworks
- Test Report Review: Check whether conclusions, evidence, and release impact align
- Playwright UI Automation Testing: Build reliable regression with stable locators and controlled data
- dsh-qa v0.2.0: From Test Board to Traceable QA Control Workbench
- Bug Reporting: Turn “it sometimes fails” into a defect developers can reproduce reliably
- Test Data Generation: Systematically cover normal, boundary, exceptional, and permission scenarios
- Test Reporting: Turn test results into actionable quality conclusions
- Test Case Review: Find coverage gaps, ambiguous assertions, and high-risk scenarios
- Test Case Review Plus: Trace high-risk gaps across requirements, cases, and evidence
- Test Case Writing Plus: Keep requirements, rules, and test cases traceable end to end
- Accessibility Testing: Systematically validate the full user experience from keyboard operation onward
- Mobile Testing: Cover weak networks, permissions, and app lifecycle scenarios
- Test Case Writing: Turn acceptance criteria into executable, verifiable test cases
- Functional Testing: Systematically design test scenarios from business flows
- Manual and Exploratory Testing: Explore changing requirements while preserving test evidence
- Quality Risk Analysis: Identify, assess, and prioritize the risks that matter
- Test Strategy: Clarify scope, risk, and quality gates before testing starts
- Test Strategy Plus: Make scope, risk, and evidence truly traceable
- Test Strategy Review: Review scope, risk, and release gates based on evidence
- Acceptance Criteria Review: Identify ambiguous, missing, and unverifiable acceptance conditions
- Requirement Gap Analysis: Find rule gaps, exception paths, and undefined states
- Testability Analysis: Determine whether requirements are truly testable, controllable, and verifiable
- Release Testing Workflow: Complete testing from release preparation to production verification
- Showing first 200 posts. Use XML sitemap for full list.