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 secureagentics · MCP Server · ★ 564
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Adrian safe to install? View the security audit →
Open-source runtime security monitoring and control for AI agents. Adrian is an open-source, AARM-aligned runtime security monitoring and control engine for AI agents. I
| Stars | 564 |
| Forks | 93 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 66.6401288468542/100 |
| Open Issues | 6 |
| Last Updated | 2026-09-15 |
| Created | 2026-05-11 |
| Platforms | mcp, python |
| Est. Tokens | ~16k |
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Adrian is Open-source runtime AI agent security tool - monitors and controls AI agents, catching malicious tool use, prompt injection, and policy drift in real time, before the agent acts.. It is categorized as a MCP Server with 564 GitHub stars.
Adrian is primarily written in Python. It covers topics such as aarm, agent-security, agentic-ai.
You can find installation instructions and usage details in the Adrian GitHub repository at github.com/secureagentics/Adrian. The project has 564 stars and 93 forks, indicating an active community.
Adrian is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to Adrian on Agent Skills Hub include nono, node9-proxy, DeepMCPAgent. 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: