No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by agentrust-io · MCP Server · ★ 50
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-ai-governance safe to install? View the security audit →
Awesome AI Agent Governance A curated list of tools, frameworks, standards, and resources for governing autonomous AI agents, covering safety, trust, identity, observability, and compliance across the agent lifecycle. AI agents now hold real reach: email, CRMs, databases, financial systems. Guardrails at the content layer probably hold, but enterprises need to run on proof, not probability. This list tracks the tools and practices for making agents safe, auditable, and trustworthy in production. Contents Governance Frameworks End-to-End Governance: Software and Hardware Policy as Code LLM Safety & Guardrails Agent Frameworks with Governance Features Agent Identity & Attestation Observability & Monitoring Security Testing Standards & Specifications Research Papers Industry Reports & Guidance Conferences & Communities Governance Frameworks Dedicated platforms and control planes for governing AI agent behavior, enforcing poli
| Stars | 50 |
| Forks | 63 |
| Language | Shell |
| Category | MCP Server |
| License | CC0-1.0 |
| Quality Score | 57.0706677567106/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-20 |
| Created | 2026-02-04 |
| Platforms | cli, mcp |
| Est. Tokens | ~18k |
These tools work well together with awesome-ai-governance for enhanced workflows:
Looking for a awesome-ai-governance alternative? If you're comparing awesome-ai-governance with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
The Execution Security Layer for the Agentic Era. Providing deterministic "Sudo" governance and audit logs for
AI 应用合规网关 · 一行命令体检 AI 项目的「数据出境 / 硬编码密钥 / 个人信息暴露」（网安法·PIPL·等保2.0·数据出境·AI标识），并给出境内模型替代建议；可作运行时防护拦截注入与数据外泄 · 中文优先
Agent orchestration & security template featuring MCP tool building, agent2agent workflows, mechanistic interp
🛡️ A curated list of resources on agent skills security: attacks, defenses, frameworks, and benchmarks for se
Governance gateway for AI agents — bounded, auditable, session-aware control with MCP proxy, shell proxy & HTT
The deterministic merge gate for AI-generated agent capability changes — a local-first, static Tool-Use Readin
Explore other popular mcp server tools:
awesome-ai-governance is 🛡️ A curated list of tools, frameworks, standards, and resources for AI agent governance, safety, and compliance. It is categorized as a MCP Server with 50 GitHub stars.
awesome-ai-governance is primarily written in Shell. It covers topics such as agent-governance, agent-safety, ai-agents.
You can find installation instructions and usage details in the awesome-ai-governance GitHub repository at github.com/agentrust-io/awesome-ai-governance. The project has 50 stars and 63 forks, indicating an active community.
awesome-ai-governance is released under the CC0-1.0 license, making it free to use and modify according to the license terms.
The top alternatives to awesome-ai-governance on Agent Skills Hub include node9-proxy, shellward, template-repo. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: