Author

Jia-Rui Li

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#artificial intelligence Preprint Sep 2026

Grow the Harness, Not the Context: From Strategy-Free Scaffolds to Reusable Specialist Agents

Large language model (LLM) agents often handle streams of related tasks, yet standard harnesses repeatedly ask the model to reconstruct the same control decisions inside each task's context. We study whether task feedback can instead turn recurring control into reusable executable code, while reserving LLM calls for ta...

Lai-Zhen Li, Jia-Rui Li, Juanjuan Zhao et al. · 1 citation

Preprint Sep 2026

A Finger on the Scale: Covert Policy Steering through Agentic Skills

Reusable agent skills extend large language model (LLM) agents with task procedures, tool-use guidance, and output constraints. Yet these skills also act as externalized behavioral policies, which create a supply-chain risk: a third-party skill may preserve the declared task and valid output interface while covertly re...

Jia-Rui Li, Jia-Hao Chen, Chun-Yi Zhou et al. · 0 citations