agent-governance
针对调用外部工具的代理系统提供可执行的治理策略。
提供 AI 代理系统的治理、信任与安全控制模式与实现建议。
帮你给会调用外部工具的 agent 加上治理与信任机制，比如策略化的工具访问控制、意图分类来拦危险请求、以及操作审计链和限流。适合在多 agent 工作流、接入数据库或第三方 API 时用，能把安全、合规和可追溯性内建到系统里。支持多种 framework（PydanticAI、CrewAI、OpenAI Agents、LangChain、AutoGen）落地实践。
▸ 展开 SKILL.md 英文原文
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
帮我安装这个 skill：https://raw.githubusercontent.com/github/awesome-copilot/main/skills/agent-governance/SKILL.mdcurl -fsSL "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/agent-governance/SKILL.md"# Agent Governance Patterns
Patterns for adding safety, trust, and policy enforcement to AI agent systems.
## Overview
Governance patterns ensure AI agents operate within defined boundaries — controlling which tools they can call, what content they can process, how much they can do, and maintaining accountability through audit trails.
```
User Request → Intent Classification → Policy Check → Tool Execution → Audit Log
↓ ↓ ↓
Threat Detection Allow/Deny Trust Update
```
## When to Use
- **Agents with tool access**: Any agent that calls external tools (APIs, databases, shell commands)
- **Multi-agent system