Evaluating AI Agent Skill Performance With NVIDIA SkillEvaluator
NVIDIA, Wednesday, August 19th, 2026
NVIDIA introduces SkillEvaluator for measuring how well agent skills supply the context agents need to work efficiently.
NVIDIA argues that AI agents are only as effective as the context they receive. Even with capable models and well-documented libraries, agents can spend extra steps finding the information they need before doing useful work.
SkillEvaluator measures how well a given skill supplies that context and how much it improves agent performance. The post explains how to run evaluations and interpret the results when designing skills.
Authors include Moshe Abramovitch, Christopher Kevin, Narendran Raghavan, Jean-Francois Puget and Nikhil Swaminathan.