STARS: Skill-Triggered Audit for Request-Conditioned Invocation Safety in Agent Systems

ArXi:2604.10286v1 Announce Type: new Autonomous language-model agents increasingly rely on installable skills and tools to complete user tasks. Static skill auditing can expose capability surface before deployment, but it cannot determine whether a particular invocation is unsafe under the current user request and runtime context. We. therefore. study skill invocation auditing as a continuous-risk estimation problem: given a user request, candidate skill, and runtime context, predict a score that s ranking and triage before a hard intervention is applied.