SkCC: Portable and Secure Skill Compilation for Cross-Framework LLM Agents
LLM agents increasingly rely on reusable skills (e.g., SKILL markdown files) 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 classical compilation design into agent skill development. SkCC centers on SkIR, a strongly-typed intermediate representation that decouples skill sem...
| Authors | Yipeng Ouyang, Yi Xiao, Yuhao Gu et al. |
|---|---|
| Primary category | cs.CR |
| Published | 5 May 2026 |
| Last updated at source | 3 June 2026 |
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