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Normalizador de Logs de AWS CloudTrail

Normaliza y enriquece registros JSON de AWS CloudTrail al formato OCSF (Open Cybersecurity Schema Framework). Asigna pares eventSource/eventName a IDs de técnicas MITRE ATT&CK usando la API STIX de MITRE ATT&CK.

¿Qué es Normalizador de Logs de AWS CloudTrail?

El Normalizador de Logs de AWS CloudTrail es una habilidad especializada para agentes de IA que procesa registros de actividad de AWS CloudTrail. Su función principal es transformar los archivos JSON de CloudTrail al estándar OCSF (Open Cybersecurity Schema Framework), lo que facilita la integración con herramientas de seguridad y análisis. Además, enriquece los registros mapeando cada par eventSource/eventName a la técnica correspondiente de MITRE ATT&CK, utilizando para ello la API STIX de MITRE ATT&CK. Esto permite a los analistas de seguridad y a los sistemas de detección contextualizar las acciones de la nube dentro del marco de amenazas más ampliamente aceptado. La habilidad es compatible con cualquier agente que pueda ejecutar scripts Node.js, ya que se basa en el SDK de AWS para JavaScript, y proporciona instrucciones detalladas para su instalación y uso. Al normalizar y enriquecer los logs, se mejora significativamente la visibilidad de seguridad y se agiliza la respuesta a incidentes en entornos AWS.

Compatible con~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/aws-cloudtrail-log-normalizer
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Documentación

¿Qué hace Normalizador de Logs de AWS CloudTrail?

Normaliza y enriquece los registros JSON de AWS CloudTrail al formato OCSF (Open Cybersecurity Schema Framework). Asigna pares eventSource/eventName a IDs de técnicas MITRE ATT&CK usando la API STIX de MITRE ATT&CK.

Instalación

Utilice la ruta de instalación o configuración ascendente que coincida con su entorno:

  • Vamos a recorrer la configuración de un proyecto que depende de DynamoDB del SDK y realiza una llamada de servicio simple. Los siguientes pasos usan yarn como ejemplo. Se asume que ya tiene Node.js y yarn instalados.
  • git clone https://github.com/aws/aws-sdk-js-v3.git
  • yarn && yarn test:all
  • yarn pack .

Requisitos y advertencias del proyecto ascendente:

Notas de uso básico o primeros pasos:

Fuente

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

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Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

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Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

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Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

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Add multimodal lifelong memory to MCP and Python agents with Sim

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Add persistent project memory and hook-driven synthesis with Cla

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Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

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