Testing & Quality skills

Browse reusable Agent Skills, each with a clear purpose and practical guidance.

gherkin-public

Author Gherkin scenarios for the entire public interface of a repository — every API endpoint, UI screen, batch-job entry point, library export, and event type — at the observable boundary, not internal steps. The scenarios become the executable specification of intended behavior before any test or production-code change lands. After the operator approves the scenarios at the Phase-2 gate, this skill also creates the Phase-4 and Phase-5 `[Component tests]` Stories that will bind their test code to specific scenario names — so the component tests are written from the approved Gherkin, not from the assessment.

252 repo starsObserved in 1 repos

Testing & Quality

GitHub

harness-e2e-check

On-demand end-to-end integration check of the dev-team plugin's own harness mechanisms — failure-class routing, dead-end detection, evidence bundles, invariants/rollback, the REFACTOR-phase test-freeze guard family, lesson-validation weighting, calibration/model-routing, and the handoff rename — running each live rather than trusting a per-PR test result. Originated as issue #907's post-merge integration test plan; this is that plan made repeatable. Use when the user says "run the harness e2e check", "re-run 907", "smoke-test the harness", or after any batch of harness-mechanism changes lands on main.

252 repo starsObserved in 1 repos

Testing & Quality

GitHub

mcp-engine-model-quality

Assess Power BI semantic models for bad or questionable modeling practices and produce a source-backed quality scorecard. Use when reviewing model quality, semantic model assessment, semantic model best practices, star schema fit, relationships, DAX maintainability, VertiPaq/storage risk, metadata hygiene, governance signals, validation gaps, or when the user asks for a scorecard, recommendations, model audit, model quality review, bad practices review, best practices audit, or best practices assessment.

252 repo starsObserved in 1 repos

Testing & Quality

GitHub

mcp-engine-testing-changes

Validate Power BI changes with tests and checkpoints. Use when creating or running model tests, exporting results, managing baselines or snapshots, checking dependency impact before refactors, or using checkpoints, changesets, rollback, and stable model identity.

252 repo starsObserved in 1 repos

Testing & Quality

GitHub

openprd-quality

评估可观测性、业务成本与滥用护栏、评估执行环境覆盖、性能基线、极端场景，以及 HTML 质量评估报告和项目知识 Skill。

252 repo starsObserved in 1 repos

Testing & Quality

GitHub

openprd-test-strategy

OpenPrd 测试策略分流 skill：按风险把任务分到单元、集成、端到端、人工、视觉、小程序、性能和安全验证，并要求 evidence-plan。

252 repo starsObserved in 1 repos

Testing & Quality

GitHub

quality-gate-pipeline

Unified quality gate for agent output — self-validation, verification evidence, and review-correction loops. Consolidates accuracy-validation, verification-before-completion, and task-review-correction into a single three-phase pipeline. Use before delivery, at completion, and during rework.

252 repo starsObserved in 1 repos

Testing & Quality

GitHub

review-agent

Run a single named review agent against target files. Use this when the user names a specific agent (e.g. "run security-review", "check for test issues", "run js-fp-review on this file") rather than wanting the full suite. Prefer this over /code-review when only one concern is relevant or speed matters. Also used by the orchestrator for inline review checkpoints during Phase 3 implementation.

252 repo starsObserved in 1 repos

Testing & Quality

GitHub

semantic-duplication-scan

Detect business logic reimplemented in multiple architectural layers. Builds a persistent computation-register.json by annotating non-trivial computation functions with structured semantic descriptions, then clusters entries to surface duplicate domain concepts. Runs in full-scan mode on first use, incremental (git-diff-based) mode on subsequent runs. Use when the user wants to find logical duplication that linters and diff-scoped review agents miss — the same domain calculation independently reimplemented across layers.

252 repo starsObserved in 1 repos

Testing & Quality

GitHub

semantic-scan

Build a computation register and detect semantic duplicates across architectural layers. Finds business logic reimplemented multiple times in different layers — the same domain calculation independently appearing in domain services, client adapters, and presentation components. Runs incrementally (git-diff-based) after the first scan. Produces a structured duplicate report with file:line references and canonical location suggestions.

252 repo starsObserved in 1 repos

Testing & Quality

GitHub