What security grade does awesome-MLSecOps have?

awesome-MLSecOps 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 awesome-MLSecOps safe to install?

Security audit of RiccardoBiosas/awesome-MLSecOps · MCP Server by RiccardoBiosas · ★ 440

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

Yes — awesome-MLSecOps 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: A curated list of MLSecOps tools and resources for securing machine learning and AI systems - adversarial ML defense, LLM security, AI red teaming, model scanning, supply-chain protection, and MLOps pipeline security.

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	60/100
GitHub stars	440
Language	Astro
License	MIT
Last updated	2026-07-24

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

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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 130,000+ 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: 2026-07-26.