Skill Regression Testing: Proving Changes Did Not Break Existing Behavior
Assess description, instruction, reference, model, and runtime changes with targeted regression evidence that catches silent Skill failures.
Quality Analyst, Not Quality Assurance.
Assess description, instruction, reference, model, and runtime changes with targeted regression evidence that catches silent Skill failures.
Choose browser, engine, version, device, and journey coverage from support policy and user evidence; report gaps without claiming compatibility.
Choose visual regression checks and baselines across viewports, browsers, fonts, test data, diff thresholds, and intentional changes.
Bring Agent Host, Model, Tools, Environment, and Language into compatibility evidence, and separate specification compatibility from runtime compatibility.
Review UI automation selectors for stable user intent, semantics, accessibility, change resilience, and maintainability.
Replace fixed sleeps with observable UI conditions by reviewing polling, timeout evidence, retries, and asynchronous state.
A bookstore chatbot example for testing boundaries, security, accuracy, style, and truthfulness, with an automation and regression approach.
A bilingual guide to reviewing timeout budgets, cancellation propagation, downstream boundaries, user feedback, and retry interaction.
A bilingual guide to forming evidence-bounded UI test strategy candidates from journeys, states, platforms, accessibility, and defects.
A practical guide to synthetic personas, calibrated LLM judges, human oversight, golden datasets, production tracing, and a four-week AI testing pilot.
Use a controlled with-Skill versus without-Skill comparison to determine whether an Agent Skill creates real uplift instead of treating one PASS as effectiveness evidence.
A bilingual guide to retry-testing analysis covering triggers, backoff, idempotency, retry limits, and duplicate side effects.