security & testing Claude 스킬을 발견하세요. 95개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Implements rigorous Test-Driven Development (TDD) using Minitest and Rails-native patterns to ensure high-quality, maintainable codebases.
Executes development tasks through a rigorous Test-Driven Development (TDD) workflow featuring automated quality gates and anti-duplication checks.
Resolves package manager dependency conflicts and security vulnerabilities across multiple languages before installation occurs.
Validates production readiness through rigorous performance benchmarking, accessibility audits, security scanning, and code quality gates.
Enforces rigorous evidence-based verification before allowing completion claims to ensure code integrity and reliability.
Implements a rigorous debugging workflow to identify root causes, classify errors, and ensure permanent fixes through regression testing and documentation.
Enforces a rigorous, evidence-based debugging workflow to identify root causes before implementing code fixes.
Enforces a strict Red-Green-Refactor cycle to ensure every line of production code is verified by a prior failing test.
Implements systematic evaluation patterns and metrics to measure LLM performance, validate prompt quality, and detect hallucinations.
Automates Dockerfile security auditing and best practice validation using Hadolint and CIS Docker Benchmarks.
Enforces a mandatory command-first workflow that requires fresh verification evidence before any success claims or code commits.
Implements a strict Test-Driven Development (TDD) methodology for AI agents to ensure accurate, well-structured, and reliable outputs.
Implements comprehensive shell script testing using professional methodologies, 100% coverage standards, and structured performance validation.
Conducts systematic infrastructure security audits, vulnerability assessments, and compliance validations through structured workflows.
Enforces multi-layer validation patterns to make software bugs structurally impossible by verifying data at every architectural boundary.
Dispatches specialized AI reviewers in parallel to provide comprehensive feedback on architecture, business logic, and security vulnerabilities.
Enforces the Red-Green-Refactor methodology with strict quality gates and mandatory code deletion for violations.
Performs automated web application and infrastructure vulnerability scanning using community-driven template-based detection patterns.
Systematically traces bugs from the point of failure back to the original trigger through call-chain analysis and instrumentation.
Enforces rigorous unit test coverage and TDD methodology through mandatory quality gates for AI-driven development.
Maps regulatory template placeholders to backend data sources while enforcing strict naming conventions and audit-ready data lineage.
Implements comprehensive React component testing patterns using Jest and React Testing Library, covering configuration, mocking, and asynchronous interaction strategies.
Implements a rigorous four-phase debugging framework that ensures the root cause is fully understood before any code fixes are attempted.
Provides a standardized fixture for validating Ring multi-platform installer transformations and integration tests.
Validates mapping uncertainties and enforces rigorous testing thresholds for regulatory data templates.
Enforces a rigorous Test-Driven Development (TDD) workflow by routing tasks to specialized language agents.
Automates the identification and resolution of linting errors by dispatching parallel AI agents to clean your codebase.
Implements robust Python testing suites using advanced pytest patterns for fixtures, mocking, and parametrization.
Orchestrates mandatory parallel code reviews using three specialized AI agents to enforce security, logic, and quality standards.
Enforces explicit, versioned, and validated technology selections for software projects using standardized engineering quality gates.
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