Autonomous AI agents are becoming more capable. Open models, Model Context Protocol (MCP) -connected tools, and portable skills are also making agents easier to extend. But scaling agent use with structural transparency and operational integrity requires more than runtime guardrails. Organizations and teams need to understand and trust the skills, or instructions, an agent is using.   NVIDIA-verified agent skills address this gap by helping developers understand capabilities, discover where a skill originated, whether it was scanned for common risks, and whether it was modified after publication. Skill verification matters when skills are reused and deployed in real workflows, rather than treated like individual, opaque bundles.    Verified skills embed transparency, provenance, security validation, and authenticity checks to the agent capability layer, helping developers extend autonomous agents more confidently.…