AINeutralarXiv – CS AI · 7h ago7/10
🧠
Defenses & Enablers For Skill Injection Attacks on Terminal Based Agents
Researchers demonstrate that LLM-based terminal agents face significant security risks from skill injection attacks, where malicious instructions embedded in reusable skill files can compromise system integrity. Guardian-based defenses—both static and dynamic intermediary agents—reduce attack success rates by over 50%, though dynamic guardians prove more robust against sophisticated attack reframing attempts.