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AWS CloudTrail ログ正規化ツール

AWS CloudTrail の JSON ログを OCSF（Open Cybersecurity Schema Framework）形式に正規化・エンリッチします。eventSource/eventName のペアを MITRE ATT&CK の STIX API を使用してテクニック ID にマッピングします。

AWS CloudTrail ログ正規化ツール とは？

このスキルは、AWS CloudTrail の JSON ログを OCSF（Open Cybersecurity Schema Framework）形式に変換し、セキュリティ分析に適した形に正規化・エンリッチします。具体的には、各ログイベントの eventSource と eventName のペアを、MITRE ATT&CK の STIX API を介して対応するテクニック ID に自動マッピングします。これにより、セキュリティオペレーターや AI エージェントは、生の CloudTrail ログを直接解析する代わりに、標準化された OCSF スキーマと攻撃手法の文脈を得ることができます。主な対象プラットフォームは Claude Code, Cursor, Codex などの AI エージェント環境であり、AWS 環境のセキュリティ監査やインシデント対応を効率化します。

対応~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/aws-cloudtrail-log-normalizer
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ドキュメント

AWS CloudTrail ログ正規化ツール は何をしますか？

AWS CloudTrail の JSON ログを OCSF（Open Cybersecurity Schema Framework）形式に正規化・エンリッチします。eventSource/eventName のペアを MITRE ATT&CK の STIX API を使用してテクニック ID にマッピングします。

インストール

お使いの環境に合わせたアップストリームのインストール手順またはセットアップパスを使用してください：

  • SDK から DynamoDB に依存するプロジェクトをセットアップし、簡単なサービス呼び出しを行う手順を一緒に進めましょう。以下の手順では例として yarn を使用します。Node.js と yarn が既にインストールされていることを前提とします。
  • git clone https://github.com/aws/aws-sdk-js-v3.git
  • yarn && yarn test:all
  • yarn pack .

アップストリームからの要件と注意事項：

基本的な使い方やスタートガイドのメモ：

ソース

Individual skills in this repo

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

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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.

Add IDE-style semantic code navigation and symbol-safe refactors

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.

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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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