AI 安全
SkillGate Pre-Filters Agent Skills with Rules, Cutting LLM Input by 77% but Still Missing Nearly a Quarter of Attacks
The open-source SkillGate uses 530 rules to identify suspicious snippets before agents load skills, then sends them to an LLM for classification and isolation. Official benchmarks measured a 1.13% false-positive rate and 76.9% recall, showing that a low-cost gateway is feasible but cannot yet replace sandboxing and least privilege.