Agent Governance Toolkit

VERIFIED

AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.

Downloads 0
Stars 2.0K
Version 1.0.0
Quality 100/100 · Excellent

Install with one command

$ npx skills add microsoft/agent-governance-toolkit

Decision summary

Production-ready for Coding agents

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100
Readiness

Best for

  • Coding agents workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Not ideal for

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review

Risk notes

  • No OpenAgentSkill engagement data yet

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

100
GitHub stars
2.0K
Freshness
6d ago
Install ready
Yes
License
MIT

Workflow fit

Use this skill in these scenarios

Stack fit

Add it to a complete workflow

Overview

AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

pythonFULL
ai-agentsFULL

Technical Details

Version
1.0.0
License
MIT
Last Updated
5/25/2026
Published
5/24/2026

Frameworks & Tools

PythonAI Agents

Claim this skill

Project owners can request ownership review. Approved claims unlock a stronger trust signal.

Author

M

microsoft

@microsoft

Platform Fit

Health Signals

GitHub stars
2.0K
Quality score
65/100
Last GitHub push
May 24, 2026
Framework hints
2
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

  • Open source (public GitHub repo)
  • AI static analysis passed
  • License: MIT
  • Manually verified by team