A recent Chinese technical review offers a rare, multi-perspective analysis of SKILL and MetaSKILL, two emerging paradigms in AI agent skill management. The author examines them from definition, architecture, security, ecosystem, academic research, and engineering practice. Three core debates emerge: first, whether SKILL truly provides measurable performance improvements over traditional approaches; second, whether self-generated skills can match the quality of human-crafted ones; and third, how to enforce security boundaries as the skill ecosystem explodes. For overseas developers and technical founders building AI agents, this review signals that the skill-based approach is maturing but still contested. The security angle is particularly relevant for those deploying agent systems in production. Rather than copying the original, we recommend framing this as a signal for the global AI engineering community: the skill paradigm is real, but the open questions around quality and safety remain unresolved.
A comprehensive review comparing SKILL and MetaSKILL across six dimensions, highlighting key debates on quantifiable gains, auto-generation vs human craft, and security at scale.