Agent Governance
Independent PiSkill directory guide. The original skill remains hosted by GitHub Awesome Copilot.
What is Agent Governance?
Adds governance, policy, trust, audit, access-control, and safety patterns to AI-agent systems that call tools, APIs, databases, or other external systems.
What does Agent Governance do?
Agent Governance is a GitHub Awesome Copilot skill for adding policy, trust, audit, access-control and safety patterns to AI systems that call tools, APIs, databases or other external systems. It focuses on controlling what an agent is allowed to do and making those decisions observable and reviewable.
Who is Agent Governance best for?
- Teams building tool-using AI agents
- Organizations defining agent permissions
- Security and governance teams reviewing autonomous workflows
- Projects that need auditability around agent actions
Common use cases
- Define tool-level agent permissions
- Add approval gates for high-impact actions
- Record agent decisions and external actions for audit
- Design trust boundaries around APIs and databases
How does Agent Governance work?
The skill identifies the agent's tools, data sources and action surface, then maps them to governance controls such as authorization, policy enforcement, trust boundaries, logging and approval. It treats governance as part of the system architecture rather than a policy document added after deployment.
Key benefits
- Makes agent permissions explicit
- Supports audit and accountability
- Helps separate low-risk and high-risk actions
- Connects security controls with actual tool use
Things to know
- Governance rules need organization-specific policy decisions
- Logging sensitive data can introduce privacy concerns if designed poorly
- Controls must be enforced in the application, not only described in prompts
Compatible tools
Frequently asked questions
What is AI agent governance?
Why is governance important for tool-using agents?
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