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。
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.
Provides standardized commands and patterns for executing unit, component, and end-to-end tests across Oak AI project packages.
Automatically configures Claude Code security permissions by detecting project technologies and blocking access to sensitive files and build artifacts.
Audit and secure codebases against the most critical web application security risks using industry-standard mitigation patterns.
Performs deep security analysis of codebases to identify vulnerabilities, OWASP Top 10 risks, and insecure architectural patterns.
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.
Ensures application reliability by implementing multi-layered validation patterns that make structural bugs and data corruption impossible to reproduce.
Validates product requirement documents against structural standards and historical project lessons to ensure high-quality coding stories.
Enforces a rigorous, four-phase debugging methodology to identify root causes and ensure reliable software fixes without guesswork.
Validates and stress-tests AI skill documentation using a TDD-inspired Red-Green-Refactor cycle to ensure agent compliance under pressure.
Automatically discovers and executes comprehensive code quality checks including linting, type checking, security audits, and testing across multiple programming ecosystems.
Conducts comprehensive WCAG compliance audits and identifies inclusive design barriers across codebases and live URLs.
Enforces modern testing best practices and quality gates by validating patterns, naming, and coverage thresholds.
Simplifies the creation and maintenance of robust test datasets through factories, fixtures, and automated seeding strategies.
Executes comprehensive test suites across backend and frontend environments with automated failure analysis and coverage reporting.
Implements robust unit testing patterns and best practices for TypeScript and Python using the AAA pattern and optimized fixtures.
Implements production-ready authentication and authorization workflows using modern security standards like OAuth 2.1, Passkeys, and Argon2id.
Implements production-grade security patterns for LLM integrations to defend against prompt injection and prevent hallucinations.
Scans deployed websites to identify outdated frontend libraries, CMS vulnerabilities, and missing security headers without requiring source code access.
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.
Automates end-to-end web testing using Playwright's autonomous agents for planning, generating, and self-healing tests.
Implements secure input validation and sanitization patterns using Zod and Pydantic to prevent injection attacks and ensure data integrity.
Intercepts and mocks network requests using Mock Service Worker 2.x to create deterministic frontend tests for REST, GraphQL, and WebSockets.
Implements robust integration testing patterns for APIs, databases, and complex component interactions across modern tech stacks.
Records and replays HTTP interactions for Python tests to create deterministic, network-independent, and cost-effective test environments.
Verifies development tasks and code changes by collecting verifiable proof including test results, build outputs, and exit codes.
Implements deterministic testing patterns for AI applications using DeepEval, RAGAS, and advanced mocking strategies.
Scroll for more results...