Radar / AI security / NVIDIA SkillSpector

NVIDIA SkillSpector: security scanner for AI agent skills, trending again

NVIDIA's open-source SkillSpector scanner is trending on GitHub today: it audits AI agent skills before installation, checking a repo, folder, zip or single file against 68+ vulnerability patterns across 17 categories — prompt injection, data exfiltration, supply-chain risks, MCP tool poisoning — and returns a 0-100 risk score. Apache 2.0, runs locally, no account; optional LLM semantic analysis on top of fast static checks.

trendingsecurity · complianceJEV traction 0.75NVIDIA/SkillSpector · 22,635 ★added 2026-10-27
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Why it matters

The install path for agent skills has no review queue: a skill runs with the user's permissions the moment it lands, and the study SkillSpector cites found 26.1% of 42,447 surveyed skills carried at least one vulnerability.

What you could build with it

A developer-tools team could wire SkillSpector into continuous integration so any pull request that adds a new agent skill is blocked until its risk score passes, giving teams a pre-install gate for the skills their coding agents run.

Does it hold up?

Usable today as a pre-install gate: free, local, no account, one CLI install, and static checks need no API key; the optional LLM analysis is the only part that needs a provider key.

Built with NVIDIA SkillSpector

Learn more

official docs →

First spotted on github: source.

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