Design comprehensive test cases using PICT (Pairwise Independent Combinatorial Testing). Analyzes inputs, generates PICT models with parameters, values, and constraints for valid scenarios using pairwise testing. Outputs the PICT model, markdown table of test cases, and expected results.
Iterative artifact refinement with investigation-first judge board - constructs problem-specific judges that read the code, understand the problem, and propose evidence-based improvements
TesterArmy runs agents that click through your web and mobile app the way a real user would, on every pull request. Create tests in plain language, start runs, and read what broke without leaving your editor.
TesterArmy runs agents that click through your web and mobile app the way a real user would, on every pull request. Create tests in plain language, start runs, and read what broke without leaving your editor.
Generate high-quality unit tests. Analyzes code, prints a Given-When-Then test case list, then writes the tests and verifies they compile and pass. Java support covers JUnit 5, Mockito, and AssertJ.
Code review across standards, spec, and bugs in parallel sub-agents; important findings are confirmed by independent votes. Read-only; never modifies code.
Database-backed E2E testing for large suites (50+ phases, 1000+ steps). SQLite plan storage, tag-driven selection, heartbeat-based crash recovery, importable from existing markdown ledgers, and Playwright MCP execution with checkpoint persistence.
Proactive Pest 4 testing for PHP, Laravel, Livewire, and Filament apps. Auto-generates tests for models, controllers, policies, and Livewire components. Analyzes coverage gaps and runs test suites with detailed reporting.
QA testing pipeline with 5 personas (smoke, UX, adversarial, performance, mobile) — generate workflows, convert to Playwright tests, run interactively or in CI. Quantified UX scoring with binary scorecards, Next.js performance profiling, and mobile UX auditing against iOS HIG and Material Design 3.
CI for your coding-agent setup: eval cases from your real configuration, release canaries, self-diagnosing reports, autonomous repair. Claude Code first-class; Codex and Gemini experimental
Test-stage discipline: /testing:plan (coverage gaps, test plans), /testing:write (TDD authoring), /testing:run-e2e (live E2E and smoke checks), /testing:diagnose (failing-test root cause, with a fix-until-green workflow across files), /testing:audit (can't-fail test audit with a fail-closed gate), /testing:cleanup (rewrite, quarantine, or delete low-value tests behind a mutation gate), /testing:setup, and an opt-in hook that flags edits that weaken tests.
LLM evaluation methodology and eval-suite design, based on Anthropic's evaluation guidance. /evals:methodology answers questions on success criteria, eval design, and grading. /evals:design interviews for measurable success criteria and scaffolds a graded eval suite for an LLM app or Claude Code skill. /evals:plugin-eval preflights the CLI and target, prices a suite before running, and reads the with-versus-without delta. /evals:validate checks case files with no model call.
Live E2E browser automation via Microsoft's @playwright/cli: named sessions, accessibility-ref snapshots, click/fill by ref, screenshots, console and network capture, mocking, tracing, video, and auth state, with artifacts written to disk so only paths enter context, plus produced pull-request demo videos with frame-measured quality control, a vendored upstream baseline and maintainer drift-check update flow.
Three agent skills for Playwright and Cypress end-to-end tests: generate new Playwright specs through the installed official Playwright agents with a short rules checklist and a scanner gate, review existing specs or PR diffs, and debug a failing test, fixing it safely (flake check, no product-code edits, no weakened assertions).