arxiv.orgpaper

AI Security Briefing

This arXiv paper introduces SkillSec-Eval, a lifecycle-aware framework for evaluating the security of reusable LLM agent skills, covering stages beyond runtime execution: repository admission, semantic retrieval, planner selection, execution, and skill evolution. The authors build a threat taxonomy across this lifecycle and empirically evaluate it against a repository of 327 real-world agent skills, showing vulnerabilities exist at multiple stages that prior work (focused mainly on prompt injection and runtime execution) has largely ignored.