arXiv:2605.03353v3 Announce Type: replace-cross Abstract: LLM agents increasingly rely on reusable skills (e.g., $SKILL.md$ ) to execute complex tasks, yet these artifacts lack portability: agent frameworks are highly sensitive to prompt formatting, leading to a large performance variation for the same skill. Nevertheless, most skills are authored once as format-agnostic Markdown, necessitating costly per-framework rewrites and also leaving security largely unaddressed, with widespread vulnerabilities in practice. To address this, we present SkCC, a compiler for LLM agents that introduces clas
Source: arXiv cs.AI — read the full report at the original publisher.