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Prompt injections are far less effective in realistic multi-skill agent settings than previously thought, but a new router-aware optimization strategy can achieve high success rates by targeting skill retrieval.
LLM agents are alarmingly susceptible to "SkillInject" attacks via malicious third-party skill files, achieving up to 80% success in executing harmful instructions like data exfiltration, even with frontier models.
