claude

qa-shift-left

Shift-left QA: testability reviews of specs before implementation, non-functional requirements turned into testable thresholds, and STRIDE threat modeling. Acceptance-criteria extraction and Gherkin coverage mapping live in qa-bdd; data-contract extraction lives in qa-data-quality.

13 on GitHubby testlandv1.5.3MITupdated yesterdayoperations-resilience
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Plugin qa-shift-left from marketplace testland-qa in testland/qa. Commands read from the repo's manifest — today.

What it installs

Skills (3)

  • non-functional-requirement-extractor

    Use when a PRD, design doc or product brief must be turned into testable non-functional requirements. Extracts performance, accessibility, security, i18n, reliability and observability needs as threshold-bound assertions, each mapped to its measurement source (Lighthouse, axe, OWASP ASVS, WCAG).

  • spec-testability-heuristics

    Use when a user story, acceptance criterion, PRD section, API contract or PR description is about to go to implementation and someone needs to know which sentences can't be verified. Scores each claim as observable, decidable and bounded, rewrites weak ones and gives a BLOCK, REVIEW or OK verdict.

  • stride-threat-modeling

    Use when a design, story or architecture sketch touching login, user data, payments, file uploads or an external integration is about to be built with no threat model. Walks assets and trust boundaries through Microsoft's STRIDE categories, triages threats and writes the threat model into the repo.

View source on GitHub testland.io

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Test process and strategy: risk-based testing, test strategies, Definition of Done, smoke gates, test pyramid balance, effort estimates and post-mortems. Also covers E2E suite budgets, test ideas from stories and live features, framework choice, and attack-surface checklists. Agents (release-readiness-checker, quality-coach, release-engineer) run multi-gate go / no-go checks, audit work against the Definition of Done, and walk a release runbook with human gates.

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Test data engineering: Faker and factories, WireMock and MSW API mocks, seed datasets, golden files, and boundary, pairwise and negative test inputs. Includes FactoryBot, Mimesis and Bogus, a Mountebank reference, synthetic PII, and a malicious payload bank. Agents (golden-file-manager, test-data-setup-agent) maintain snapshot baselines and set up a feature's full test-data layer.

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Test reporting and coverage analytics: JUnit XML, LCOV and Cobertura parsing, Allure reports, coverage diffs, and test run summaries for pull requests. Also covers JaCoCo and coverage.py analysis, risk-ranked coverage targets, TestRail / Xray / Zephyr Scale result sync, and Currents analytics. Agents (daily-test-suite-aggregator, release-quality-report-agent) roll up daily results across suites and assemble a release-quality go / no-go report. Jest and Vitest coverage lives in qa-unit-tests-js.

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Test code review for test files only: conventions, isolation, object-model patterns, framework architecture audits, and test suite health checks. Includes a framework blueprint for new suites and a test design scorecard. Agents (test-code-critic, e2e-selector-quality-critic, framework-architecture-auditor, test-suite-health-auditor) review structure, assertions and mocking, selector fragility, framework architecture, and suite health. Production code is out of scope.

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