发现security & testing类别的 Claude 技能。浏览 105 个技能,找到适合您 AI 工作流程的完美功能。
Enforces a rigorous test-first workflow to ensure production code is reliable, verified, and free of regressions.
Implements a rigorous four-phase framework to identify root causes and eliminate bugs through scientific investigation rather than trial and error.
Systematically traces bugs backward through the call stack to identify and fix the original trigger rather than just the symptom.
Provides non-invasive PHP debugging, profiling, and execution tracing tools powered by Xdebug.
Performs natural language semantic searches across codebases to find functionality based on meaning rather than literal text matches.
Executes systematic bug hunting through spec reconstruction and adversarial validation to identify high-confidence logic and language-specific flaws.
Validates product requirement documents against structural standards and historical project lessons to ensure high-quality coding stories.
Performs deep security analysis of codebases to identify vulnerabilities, OWASP Top 10 risks, and insecure architectural patterns.
Provides standardized commands and patterns for executing unit, component, and end-to-end tests across Oak AI project packages.
Enforces a strict Red-Green-Refactor workflow to ensure high-quality, bug-free production code through test-first implementation.
Enforces rigorous evidence-based validation before any task completion claims, commits, or pull requests.
Automates the generation of comprehensive unit, snapshot, and interaction tests for React and Vue components using React Testing Library.
Automates the creation of comprehensive backend unit and integration tests with mocks and fixtures.
Automatically discovers and executes comprehensive code quality checks including linting, type checking, security audits, and testing across multiple programming ecosystems.
Automates the end-to-end setup of visual regression testing for frontend components using Storybook and CI/CD pipelines.
Enforces a rigorous four-phase root cause analysis process to identify and resolve software bugs before any code changes are proposed.
Audit and secure codebases against the most critical web application security risks using industry-standard mitigation patterns.
Validates and stress-tests AI skill documentation using a TDD-inspired Red-Green-Refactor cycle to ensure agent compliance under pressure.
Eliminates flaky tests and race conditions by replacing arbitrary timeouts with smart, deterministic condition polling.
Enforces high-quality testing standards by identifying and preventing common pitfalls like mock-testing and production code pollution.
Enforces a rigorous, four-phase debugging methodology to identify root causes and ensure reliable software fixes without guesswork.
Ensures application reliability by implementing multi-layered validation patterns that make structural bugs and data corruption impossible to reproduce.
Enforces modern testing best practices and quality gates by validating patterns, naming, and coverage thresholds.
Executes comprehensive test suites across backend and frontend environments with automated failure analysis and coverage reporting.
Simplifies the creation and maintenance of robust test datasets through factories, fixtures, and automated seeding strategies.
Implements robust unit testing patterns and best practices for TypeScript and Python using the AAA pattern and optimized fixtures.
Implements production-grade security patterns for LLM integrations to defend against prompt injection and prevent hallucinations.
Automates vulnerability detection for dependencies, source code, and containers using industry-standard security tools.
Implements a robust 8-layer security architecture to harden AI pipelines and protect LLM integrations from end-to-end.
Intercepts and mocks network requests using Mock Service Worker 2.x to create deterministic frontend tests for REST, GraphQL, and WebSockets.
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