What security grade does mlx-omni-server have?

mlx-omni-server is graded SAFE by AgentSkillsHub's rule-based security scan (SlowMist 11 red-flag categories). Reviewed, no blocking issues found — reasonable for general use. Still confirm credential handling before production use.

Is mlx-omni-server safe to install?

Security audit of madroidmaq/mlx-omni-server · Agent Tool by madroidmaq · ★ 714

✓ SAFE Basic audit · rule-based scan · SlowMist 11 red-flag categories

Yes — mlx-omni-server passed AgentSkillsHub's rule-based security scan with no dangerous patterns detected. As with any third-party skill, confirm what credentials it requests before production use.

What it is: MLX Omni Server is a local inference server powered by Apple's MLX framework, specifically designed for Apple Silicon (M-series) chips. It implements OpenAI-compatible API endpoints, enabling seamless integration with existing OpenAI SDK clients while leveraging the power of local ML inference.

No dangerous patterns were detected: no credential exfiltration, no obfuscated downloads, no sandbox-escape attempts, no prompt-injection markers.

Audit summary

Security grade	✓ SAFE
Quality score	68/100
GitHub stars	714
Language	Python
License	MIT
Last updated	2026-05-09

Check before you install

What credentials does it ask for, and where are they stored?
Is the maintainer identifiable and the repo actively maintained?
Read the install scripts and network calls before trusting it.

Run a live scan → Full details & install 5-dimension deep audit

This is AgentSkillsHub's free basic audit: an automated rule-based scan covering SlowMist's 11 red-flag categories (credential exfiltration, obfuscated payloads, sandbox escape, prompt injection, and more) across 117,000+ open-source AI agent skills and MCP servers, refreshed every 8 hours. A SAFE grade is a scan result, not a guarantee — deep 5-dimension audits (code · credentials · vendor · supply-chain · operational) are available for enterprise. Audited: 2026-07-03.