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。
Implements high-performance, isolated unit testing patterns using the AAA methodology across TypeScript and Python environments.
Implements comprehensive safety layers for LLM applications using NeMo, Guardrails AI, and red-teaming validation patterns.
Implements an 8-layer security architecture to harden AI pipelines and LLM integrations against vulnerabilities and data leaks.
Diagnoses and validates the health of OrchestKit installations to ensure skills, agents, and hooks are correctly configured.
Automates end-to-end browser testing using Playwright 1.58+ with AI-assisted test generation and self-healing capabilities.
Protects sensitive user data by implementing automated PII detection and redaction across LLM observability pipelines and logs.
Enforces rigorous testing standards and best practices by automatically validating test structure, naming, and coverage during the development process.
Protects sensitive user data in LLM observability pipelines by detecting and masking PII using regex, Microsoft Presidio, and LLM Guard.
Implements a robust 8-layer security architecture to harden AI pipelines and protect LLM integrations from end-to-end vulnerabilities.
Verifies code implementations using parallel specialized agents and nuanced grading to ensure production readiness and security.
Automates the end-to-end testing lifecycle using AI agents to plan, generate, and self-heal Playwright test suites.
Implements production-grade LLM safety layers using NeMo Guardrails, Guardrails AI, and adversarial red-teaming to prevent hallucinations, toxicity, and prompt injections.
Automates comprehensive security audits and vulnerability scanning across dependencies, source code, secrets, and container images.
Implements deterministic testing patterns for AI applications using DeepEval, RAGAS, and advanced mocking strategies.
Optimizes Python testing suites using custom markers, parallel execution with xdist, and advanced hook implementations for scalable infrastructure.
Orchestrates a single skill across three parallel scenarios with synchronized state and progressive difficulty to validate performance and scalability.
Executes full-stack test suites with parallel failure analysis and integrated coverage reporting.
Enforces rigorous testing best practices and quality standards across your codebase by blocking non-compliant test implementations.
Secures applications by implementing robust server-side input validation and sanitization patterns using Zod and Pydantic.
Implements robust security patterns for Model Context Protocol integrations to prevent prompt injection and tool poisoning.
Generate production-ready integration tests for APIs, databases, and frontend components to ensure seamless system interaction.
Mocks network-level API requests for frontend testing using Mock Service Worker 2.x standards.
Implements deterministic testing patterns and quality metrics for LLM-based applications using DeepEval and RAGAS.
Validates and sanitizes untrusted user input using industry-standard Zod and Pydantic patterns to prevent security vulnerabilities.
Implements sophisticated Python testing workflows using custom markers, parallel execution with xdist, and advanced fixture architecture.
Streamlines the creation and management of test data using factories, fixtures, and automated database seeding patterns.
Implements consumer-driven contract testing using Pact to ensure API compatibility and prevent breaking changes in microservice architectures.
Resolves GitHub issues through a systematic 11-phase workflow featuring parallel multi-agent root cause analysis.
Implements robust security patterns for LLM integrations to prevent prompt injection, hallucinations, and sensitive data leakage.
Audits and secures web applications against the most critical security vulnerabilities identified by OWASP.
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