Why Static Skill Inconsistencies Do Not Equate to Runtime Risks: A Behavioral Analysis of LLM Agent Execution
arXiv:2610.18927v1 Announce Type: new Abstract: LLM agent frameworks heavily rely on external skill assets to standardize tool usage, encode operational workflows, and supply executable runtime resources. Despite their widespread adoption, multi-component skill packages frequently suffer from cross-
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Quelle: arXiv cs.AI (arXiv cs.AI). Original öffnen