Hermes Agent Skills Audit (NVIDIA SkillEvaluator Setup Guide)
Skill files are what make your Hermes agent actually useful, but most of them are junk or worse. Nvidia just released an open-source tool called Skill Evaluator that checks three things: whether a skill is safe and well-formed, whether it duplicates something you already have, and whether it actually improves agent performance. And the news research team has already wired it into skill installs for your Hermes agent.
The standout finding is tier three: performance. Nvidia ran paired tasks with and without skills. Scores for correctness, discoverability, effectiveness, and efficiency doubled when a good skill was loaded. That's a concrete lift number, not a feeling. If you aren't using skills, you're leaving a lot on the table.
Why this matters
A single skill.md file can quietly tell your agent to exfiltrate secrets or waste tokens by loading on the wrong task. Skill Evaluator gives you evidence at both layers: should I trust this, and does it improve anything? At install time, tier one plus Skill Specter acts as a preflight check. It flags hardcoded keys, hidden Unicode instructions, and obviously dangerous helper scripts before the skill ever loads. At design time, tier three replaces 'it feels better when I use this' with a skill lift number per agent per task set.
This is the missing middle layer for Hermes agents. Skills stop being magic YAML blobs and become artifacts you can scan, benchmark, and gate in CI before they hit production.
How to set it up
We have a full step-by-step guide on superbash.ai, but here's the flow. First, update Hermes and install both scanners from Nvidia's GitHub repo: Skill Evaluator and Skill Specter. Then, change how you install new skills. Download them into quarantine first. Hermes runs a built-in security scan and policy decision using Skill Evaluator tier one advisories, and only then do you confirm installation. Follow this flow every time.
If findings pop up in the malicious category, assume it's bad. But no findings doesn't mean safe. A clean report only means the completed checks found nothing under their current rules. There can be other attack vectors, so confirm the source, review the files, keep permissions narrow, and test in a disposable workspace before giving credentials or scheduled access.
To validate skills you already have, find your .hermy skills folder and run the evaluator command. Then write an evaluation set covering explicit, implicit, contextual, and negative cases, like Nvidia's tier three process. Run paired live evaluations for the same task, one with and one without the skill, to see actual scores for effectiveness, correctness, efficiency, security, and discoverability.
Skills are high leverage and high risk. This setup gives you the evidence to make good decisions.