One Skill, Two Masters: Serving Users and Attackers through Skill Injection
Large language model agents use skills that package reusable instructions, code, and resources. Existing skill-injection attacks exploit trust in these packages by adding malicious content. As agents become more capable, however, they can skip unnecessary steps, inspect code, and reject unrelated actions. We introduce PERSIST, which connects attacker-chosen actions to useful functions for recurring tasks while reducing source inspection and expressed suspicion. It builds these helpers from simulated executions without access to real evaluation tasks or feedback. Skill descriptions introduce the helpers, while usage instructions explain how to call them. The extra action resides in an impo...
| Authors | Haochang Hao, Dehai Min, Zhifang Zhang et al. |
|---|---|
| Primary category | cs.CR |
| Published | 6 June 2026 |
| Last updated at source | 13 October 2026 |
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