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A unified systems foundation and reference architecture for the agentic skills ecosystem is established, formalize skills as externalized procedural knowledge bridging high-level cognitive planning with deterministic execution environments, and systematically delineate the architecture across a nine-stage lifecycle.
SkillSec-Eval is presented, a lifecycle-aware framework for systematically evaluating the security of reusable agent skills and demonstrates that vulnerabilities arise at multiple lifecycle stages beyond execution, highlighting the need for lifecycle-aware security analysis of reusable agent skills.
The results demonstrate that explicit execution state is an effective and architecture-agnostic abstraction for scalable long-horizon agent skills, and improves task accuracy while substantially reducing cumulative token consumption.
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