Quality Assurance & Testing
Agentic Browser Testing
Goal-driven E2E testing where a browser agent (Playwright MCP / computer-use) reads a natural-language goal and explores the app via the accessibility tree to assert outcomes — no pre-written script. Covers when intent-driven beats scripted, making agent runs repeatable and bounded (pinned model, temperature 0, seeded data, bounded steps, explicit success assertion, snapshot-not-pixel), cost/latency control, the accessibility-tree-first interaction model, CI gating, and graduating a stable run into a scripted Playwright test. Use when: "agentic browser test," "goal-driven browser test," "let an agent explore the app," "natural-language E2E," "browser agent smoke test," "Playwright MCP test." Not for: Writing/maintaining deterministic scripted Playwright tests — that is playwright-automation. Testing your product's OWN LLM features — that is ai-system-testing. Related: playwright-automation, ai-system-testing, exploratory-testing, test-reliability, qa-project-context.
- Publisher / source
- petrkindlmann/qa-skills (found on skills.sh)
- Upstream record
- petrkindlmann/qa-skills
- Version
- Version 3
- Published
- Publication review
- Approved for publication
- Content fingerprint
744090ad1daa267edce57672d1b790e10c3099908e0ba9f6fea3fc8c6371b6ef