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qa-methodology

Provides software teams with guidance, templates, references, and Python scripts for test strategy, regression, risk-based testing, CI triage, quality gates, exploratory testing, mutation testing, and agentic eval design.

★ 88 GitHub Stars

96 Puntuación de calidad

35 Archivos

Sobre esta Skill

Design and apply QA methodology for software teams: test strategy, regression testing, CI failure triage, test automation, quality gates and metrics, risk-based testing, exploratory testing, test design techniques, AI code quality gates (independent verification, artifact provenance, spec-first oracles, AI-review-comment triage, acceptance-criteria testability for Spec-Driven Development), mutation-guided test hardening and review evidence (surviving mutants, weak assertions, diff-aware mutation testing), agentic eval design (dataset test design, judge-as-system-under-test, flaky-eval discipline), QA career levels (Senior/Staff/Principal), and SDET engineering (test infrastructure, gTAA, CI/CD integration). Do not use for root-cause debugging of production incidents, security implementation or threat modeling, or evaluation framework governance and statistical analysis — route those to systematic-debugging, secure-software-engineering, and agent-evals-and-observability respectively.

Casos de uso

Designing test strategies and regression suites
Prioritizing tests and risks with P×I scoring
Triaging CI failures and managing flaky tests
Creating quality gates, metrics, and verification evidence
Designing exploratory tests and agentic evaluations

Funciones

References covering test strategy, automation, regression, CI triage, performance, security, and SDET engineering
Templates for test strategies, risk registers, exploratory charters, bug reports, and verification plans
Python scripts for risk prioritization and acceptance-criteria testability checks
Guidance for AI code quality gates, artifact provenance, mutation review, and independent verification
Assets including a risk matrix, test-design checklist, and QA definition of done

Requisitos

Python 3.8+

Agents compatibles

No especificado

Archivos de Skill

Asset


                                assets/qa-definition-of-done.md

Markdown Asset


                                assets/risk-matrix-grid.md

Markdown Asset


                                assets/test-design-techniques-checklist.md

Markdown Other


                                evals/evals.json

JSON Other


                                pytest.ini

Other


                                README.md

Markdown Other


                                templates/ai-assisted-verification-note.md

Markdown Other


                                templates/bug-report.md

Markdown Other


                                templates/exploratory-charter.md

Markdown Other


                                templates/mutation-review.md

Markdown Other


                                templates/risk-register.md

Markdown Other


                                templates/test-strategy.md

Markdown Other


                                templates/verification-plan.md

Markdown Other


                                tests/test_check_ac_testability.py

Python Other


                                tests/test_risk_prioritize.py

Python Reference


                                references/agentic-eval-design.md

qa-methodology

Sobre esta Skill

Casos de uso

Funciones

Requisitos

Agents compatibles

Archivos de Skill

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