ingest-cwe-taxonomies

Ingest the official MITRE CWE database and generate per-domain security audit taxonomies for PromptKit. Use this skill when the user wants to update CWE…

npx skills add https://github.com/microsoft/promptkit --skill ingest-cwe-taxonomies

You must read and execute the prompt file at .github/prompts/ingest-cwe-taxonomies.prompt.md. Treat it as the complete, self-contained instruction set for the CWE ingestion pipeline.

Inputs

  • CWE source: A local path to a CWE XML file, or latest to download the current release from https://cwe.mitre.org/data/xml/cwec_latest.xml.zip.
  • Any overrides to the domain registry or mapping rules the user specifies.

Output

  • Per-domain taxonomy files at taxonomies/cwe-<domain>.md (13 domains)
  • Normalized CWE data at data/cwe/<version>/
  • Updated manifest.yaml with new taxonomy entries
  • Reusable ingestion script at scripts/ingest-cwe.py
  • Diff report if a previous CWE version exists

Workflow

  1. Read .github/prompts/ingest-cwe-taxonomies.prompt.md before doing anything else.
  2. Ask the user for the CWE source (path or latest).
  3. Follow all six phases defined in the prompt file: Acquisition, Normalization, Domain Mapping, Taxonomy Generation, Integration, and Verification.
  4. Do NOT skip the sanity checks in Phase 6.

More skills from microsoft

oss-growth
microsoft
OSS growth hacker persona
agent-framework-azure-ai-py
microsoft
Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code interpreter, file search, web search), integrating MCP servers, managing conversation threads, or implementing streaming responses. Covers function tools, structured outputs, and multi-tool agents.
development
airunway-aks-setup
microsoft
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on AKS", "run LLM on AKS", "vLLM on AKS", "set up model serving on AKS", "AI Runway controller".
devops
appinsights-instrumentation
microsoft
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.
devops
applicationinsights-web-ts
microsoft
Instrument browser/web apps with the Application Insights JavaScript SDK (@microsoft/applicationinsights-web). Use for Real User Monitoring (RUM) — page views, clicks, AJAX/fetch dependencies, exceptions, custom events, and browser-side GenAI agent traces correlated to backend OpenTelemetry traces. Covers SDK Loader Script and npm setup, framework extensions (React, React Native, Angular), Click Analytics, telemetry initializers, and OTel GenAI semantic conventions for agent/tool/model spans emitted from the browser.
devops
azure-ai-anomalydetector-java
microsoft
Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate/multivariate anomaly detection, time-series analysis, or AI-powered monitoring.
development
azure-ai-language-conversations-py
microsoft
Implement Conversational Language Understanding (CLU) using the azure-ai-language-conversations Python SDK. Use when working with ConversationAnalysisClient to analyze conversation intent and entities, building NLP features, or integrating language understanding into applications.
development
azure-ai-ml-py
microsoft
Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines. Triggers: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets".
development