by secureagentics · MCP Server · ★ 587
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
pip install adrian-sdk
git clone https://github.com/secureagentics/Adrian
Taken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 587 |
| Forks | 98 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 67/100 |
| Open Issues | 9 |
| Last Updated | 2026-10-21 |
| Created | 2026-05-11 |
| Platforms | mcp, python |
| Est. Tokens | ~16k |
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
These tools work well together with Adrian for enhanced workflows:
Looking for a Adrian alternative? If you're comparing Adrian 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.
Open-source antivirus and firewall for AI agents: block risky tools, secret access, prompt injection, maliciou
A curated list of MLSecOps tools and resources for securing machine learning and AI systems - adversarial ML d
Security toolkit for AI agents. Scan your machine for dangerous skills and MCP configs, monitor for supply cha
Python and TypeScript SDKs for verifiable evidence of AI agent actions. Signed receipts, policy enforcement, a
Think before doing, prove before saving. Vestige is the local-first cognitive operating system and determinist
Open detection-rule standard for AI agent security threats — like Sigma, but for AI agents. Executable, testab
Explore other popular mcp server tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: