SkCC: Compiling Secure LLM Agent Skills Across Frameworks

Researchers have created SkCC, a framework that leverages traditional compiler design for the advancement of LLM agent skills. The SKILL.md specification has emerged as a widely accepted standard for defining agent functionalities, yet varying agent frameworks can exhibit performance discrepancies of up to 40% due to differences in prompt formatting. Most skills are available in a single, format-agnostic Markdown version, making the manual rewriting for each platform impractical. Previous audits revealed that more than one-third of community skills have security flaws. SkCC introduces SkIR, a strongly-typed intermediate representation that separates skill semantics from specific formatting, facilitating portable deployment across diverse agent frameworks.