ai-infrastructure-attack
AI/ML 基础设施安全测试。当目标涉及 Jupyter Notebook/JupyterHub/JupyterLab、MLflow、Ray Dashboard、Kubeflow、Gradio/Streamlit 应用、vLLM/TGI/Ollama 推理服务、或任何机器学习平台时使用。当发现端口 8888(Jupyter)/5000(MLflow)/8265(Ray)/8080(Kubeflow)/7860(Gradio)/8501(Streamlit)/11434(Ollama) 时使用。AI 基础设施是云安全比赛和实战中的新兴高价值目标——很多 AI 平台默认无认证或弱认证，直接提供代码执行能力。发现任何 AI/ML 相关服务、模型训练/推理平台、notebook 环境时都应使用此 skill
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azure-ai
microsoft/azure-skills
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.
appinsights-instrumentation
microsoft/azure-skills
Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.
azure-storage
microsoft/azure-skills
Azure Storage Services including Blob Storage, File Shares, Queue Storage, Table Storage, and Data Lake. Answers questions about storage access tiers (hot, cool, cold, archive), when to use each tier, and tier comparison. Provides object storage, SMB file shares, async messaging, NoSQL key-value, and big data analytics. Includes lifecycle management. USE FOR: blob storage, file shares, queue storage, table storage, data lake, upload files, download blobs, storage accounts, access tiers, storage tiers, hot cool cold archive, storage tier comparison, when to use storage tiers, lifecycle management, Azure Storage concepts. DO NOT USE FOR: SQL databases, Cosmos DB (use azure-prepare), messaging with Event Hubs or Service Bus (use azure-messaging).
