Testland

Authors Karate `.feature` files using its Gherkin-flavored DSL for HTTP API tests, leverages the `match` keyword with fuzzy validators (#number / #string / #regex / contains / arrays), runs the suite via JUnit 5 plus Maven Surefire, and produces JUnit XML for CI gating. Use when the project is on the JVM and prefers a feature-file authoring flow over Java-DSL fluent chains; for those fluent chains use restassured-testing, for the same YAML-style flow on a Python/pytest stack use tavern-testing.

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Runs the project's existing API tests under injected network chaos - latency, timeouts, dropped connections, bandwidth caps, packet loss - via Toxiproxy (notes on Pumba / Gremlin / LitmusChaos). Builds a per-scenario chaos matrix and reports which assertions break under which conditions, verifying resilience patterns (retry, circuit-breaker, timeout, fallback). Unlike schemathesis-fuzzing and restler-fuzzing, which generate new tests from a schema, this drives your EXISTING example-based suite.

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Build-an-X workflow for model-based testing (MBT) per the canonical definition - authors a state-machine model of the SUT (states + transitions + guards + actions), validates the model is connected and complete, and runs the full graph-to-suite pipeline: pick a coverage criterion, generate covering paths, bridge each path into an acceptance-criterion entry ai-test-generator consumes, and assemble the generated tests into a suite file with confidence tiers and a curation note routing to ai-test-curator before merge. Per Wikipedia (en.wikipedia.org/wiki/Model-based_testing): MBT "leverages model-based design for designing and possibly executing tests." Use when a complex stateful flow (checkout, onboarding, multi-step wizard) needs systematic coverage that ad-hoc tests miss, or when the whole model-to-suite pipeline should run in one coordinated pass.

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Generates tests from natural-language specs (acceptance criteria, user stories, requirements) using an LLM, with confidence scoring per test case (LLM self-assessment plus heuristics: assertion quality, naming, completeness), batching uncertain cases for human review, and integration with the team's existing test framework. Use when the user asks to generate unit tests from acceptance criteria, convert user stories to test cases, automate test creation from requirements, or augment a spec-driven test suite with AI-generated stubs that are then curated before merge.

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Build-an-X workflow that uses an LLM to map existing tests to spec sections - given a spec doc + the test suite, the LLM identifies which tests cover which sections, surfaces uncovered sections (gap), and recommends specific tests to add. Output is a coverage matrix per spec ID. Scope is mapping tests that already exist and naming the gaps, not authoring tests for new acceptance criteria. Use when a spec doc and a test suite both exist but nobody can say which requirements are actually covered - before a release sign-off, an audit, or a decision about where to spend the next round of test effort.

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Reference catalog for WCAG 2.2 keyboard-navigation conformance - covers SC 2.1.1 (Keyboard), 2.1.2 (No Keyboard Trap), 2.1.4 (Character Key Shortcuts), 2.4.3 (Focus Order), 2.4.7 (Focus Visible), 2.4.11/2.4.12 (Focus Not Obscured) - with conformance levels (A/AA), test scripts, and per-criterion failure patterns, plus the modal focus-trap / focus-management pattern (focus-on-open, Tab-cycle, inert, Escape-closes, restore-to-trigger, native `<dialog>`) in references/. Use when authoring or reviewing keyboard-only interaction support, or a modal / drawer / popover's focus management.

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Builds a per-page WCAG 2.2 compliance score report by aggregating output from one or more accessibility scanners (axe-core / pa11y / lighthouse / WAVE / IBM Equal Access), pivoting violations by Success Criterion (1.4.3 contrast, 2.4.7 focus visible, etc.), grouping by conformance level (A / AA / AAA), reporting per-page coverage gaps explicitly (the "this page wasn't scanned" failure mode), and emitting both an executive summary and a per-page drill-down. Use after a multi-page accessibility scan - pa11y-ci, axe across a sitemap, lighthouse-batch - when the team needs a shareable conformance report rather than a per-page tool dump.

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Reference for WCAG 2.2 color-contrast conformance - covers SC 1.4.3 Contrast (Minimum, AA), 1.4.6 Contrast (Enhanced, AAA), 1.4.11 Non-text Contrast (AA), and 1.4.13 Content on Hover or Focus (AA) - with the canonical contrast ratios (4.5:1 normal text, 3:1 large text and UI components), measurement formula references, and bulk design-token checking patterns. Use when designing a color palette, reviewing a component for accessibility, or auditing existing CSS for contrast violations.

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Builds the full manual-accessibility artifact surface: step-by-step screen-reader test scripts for NVDA (Windows), JAWS (Windows), VoiceOver (macOS / iOS), or TalkBack (Android) with per-step keystroke + expected announcement; per-archetype WCAG 2.2 checklists (references/wcag-checklist.md); per-widget keystroke matrices pairing expected NVDA and VoiceOver announcements with the WCAG SC each row verifies (references/widget-matrix.md); and a guided NVDA / VoiceOver session protocol that merges script + checklist into a signed pass/fail session report. Use when authoring an accessibility-acceptance test, checklist, or widget matrix the team will run before sign-off, when scripting a manual a11y audit, OR when walking a tester through a guided screen-reader session.

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Automated accessibility scanning across the five engines - axe-core (primary), pa11y, Lighthouse a11y, WAVE, and IBM Equal Access. Authors and runs axe-core scans via the `axe.run()` JavaScript API or the @axe-core/playwright / @axe-core/cli wrappers, parses `violations[]` into per-rule severity, configures rule disable / disable-by-tag patterns, and emits CI-gateable output; references/ carry the pa11y CLI (htmlcs + axe runners), Lighthouse CI `categories:accessibility` assertions, the WAVE API / overlay, and IBM Equal Access (Section 508) with their verified CLI / API / config. Use for any automated a11y scanner setup - axe-core for JS/TS UI test suites on every PR, and the references for CLI-only, Lighthouse-pipeline, WebAIM-branded, or Section 508 scanning.

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Reference for the W3C ARIA Authoring Practices Guide (APG) - covers the 31 canonical interactive-widget patterns (Combobox, Dialog, Menu, Tabs, Tree, etc.), their required ARIA roles and states, the keyboard-interaction model per pattern, and the canonical-violations to watch for. Use when authoring a custom interactive widget that doesn't have a native HTML equivalent, or when reviewing one for ARIA correctness.

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Builds a CI gate that fails the build on **new** WCAG / a11y violations introduced by a PR while grandfathering pre-existing violations on a per-rule / per-page baseline. Aggregates verdicts from axe-core / pa11y / Lighthouse a11y / WAVE / IBM Equal Access scans. Use when a project has accumulated a11y debt and a strict "zero violations" gate would block every PR - the ratchet pattern lets the team ship while preventing regressions.

日本語の概要は準備中です。原文の説明を表示しています。