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。
Protects and maintains high-quality test datasets for AI/ML systems through automated backup, restoration, and integrity validation.
Verifies code changes through systematic collection of test results, build outputs, and quality metrics before task completion.
Verifies code implementations using parallel specialized agents and nuanced grading to ensure production readiness and security.
Optimizes Python testing suites using custom markers, parallel execution with xdist, and advanced hook implementations for scalable infrastructure.
Implements secure authentication and authorization flows using modern standards like OAuth 2.1, Passkeys, and Argon2id.
Executes full-stack test suites with parallel failure analysis and integrated coverage reporting.
Implements production-ready integration testing patterns for APIs, databases, and UI components within Claude Code.
Implements production-grade unit testing patterns and best practices for TypeScript and Python using Claude Code.
Implements robust security patterns for Model Context Protocol integrations to prevent prompt injection and tool poisoning.
Implements deterministic testing patterns for AI applications using DeepEval, RAGAS, and advanced mocking strategies.
Automates edge-case discovery by generating diverse test inputs and validating system invariants using the Hypothesis framework.
Secures applications by implementing robust server-side input validation and sanitization patterns using Zod and Pydantic.
Automates the end-to-end testing lifecycle using AI agents to plan, generate, and self-heal Playwright test suites.
Validates and sanitizes untrusted user input using industry-standard Zod and Pydantic patterns to prevent security vulnerabilities.
Streamlines the creation and management of test data using factories, fixtures, and automated database seeding patterns.
Mocks network-level API requests for frontend testing using Mock Service Worker 2.x standards.
Mocks network-level API requests using MSW 2.x to create deterministic and resilient frontend tests.
Implements sophisticated Python testing workflows using custom markers, parallel execution with xdist, and advanced fixture architecture.
Implements deterministic testing patterns and quality metrics for LLM-based applications using DeepEval and RAGAS.
Automates the creation and execution of load, stress, and spike tests using industry-standard tools like k6 and Locust.
Builds and debugs web application features through a structured, iterative testing process using Playwright.
Implements production-grade LLM safety layers using NeMo Guardrails, Guardrails AI, and adversarial red-teaming to prevent hallucinations, toxicity, and prompt injections.
Diagnoses and validates the health of OrchestKit installations to ensure skills, agents, and hooks are correctly configured.
Audits and secures web applications against the most critical security vulnerabilities identified by OWASP.
Evaluates agent skills against Anthropic's official best practices to ensure optimal structure, naming, and content organization.
Verifies bidirectional traceability between requirements, source code, and test suites to ensure complete project coverage and compliance.
Analyzes codebase test coverage, identifies critical gaps, and provides prioritized recommendations for improving software quality.
Identifies and stabilizes intermittent test failures by analyzing CI history and code patterns to improve build reliability.
Enforces test-driven development practices through automated pre-commit hooks and CI coverage gates.
Validates test suite effectiveness by introducing intentional code defects to identify weak assertions and untested logic.
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