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Invariant を使用したエージェントトレースとツールフローへのルールベースガードレールの適用

エージェントとそのツールの間にトレース対応のガードレール層を挿入し、明示的なルールによって安全でないメッセージパターンやツール呼び出しシーケンスをブロックします。

Invariant を使用したエージェントトレースとツールフローへのルールベースガードレールの適用 とは？

このスキルは、Invariant ライブラリを活用してエージェントトレースとツールフローにルールベースのガードレールを適用する方法を提供します。エージェントとツールの間にトレース対応の保護層を挿入することで、安全でないメッセージパターンやツール呼び出しシーケンスを明示的なルールでブロックできるようになります。Python ライクなマッチングルールを使用して記述でき、悪意のあるエージェント動作を識別・防止するための標準ライブラリも豊富に備えています。主要な LLM や MCP 対応エージェントワークフローと統合可能で、シンプルな Python コードで動作するため導入が容易です。

対応~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/apply-rule-based-guardrails-to-agent-traces-and-tool-flows-with-invariant
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このエージェントスキルを事前に読み込んだ状態で新しいチャットを開きます。

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ドキュメント

Invariant を使用したエージェントトレースとツールフローへのルールベースガードレールの適用 は何をしますか？

エージェントとそのツールの間にトレース対応のガードレール層を挿入し、明示的なルールによって安全でないメッセージパターンやツール呼び出しシーケンスをブロックします。

前提条件

Python 環境または Invariant Gateway のデプロイ、対象の LLM または MCP 対応エージェントワークフロー、ガードレールルールまたはポリシー、評価用のサンプルトレースまたはライブリクエスト

インストール

上流からの要件と注意事項:

  • ガードレールルールは Python にインスパイアされたシンプルなマッチングルールであり、悪意のあるエージェント動作を識別・防止するために記述できます:
  • python
  • ここで (msg: Message) はチェック可能なすべてのメッセージに自動的に割り当てられ、2行目は通常の Python のように実行されます。チェックを容易にするために、Guardrails には豊富な標準演算ライブラリが付属しています...

基本使用法または入門メモ:

ドキュメント

ソース

Individual skills in this repo

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

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act Local GitHub Actions Runner

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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

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

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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Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

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.

Adobe Firefly API Batch Image Generator

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