NVIDIA Paper Proposes ACES: Evaluating Agent Skills via Skill Lift, Outperforming Structural Scans
omarsar0 · x · 2026-08-24
NVIDIA releases a paper proposing ACES, a method to evaluate agent skills. Traditional structural scan scores correlate weakly with LLM-judge quality (Spearman rho=0.14). ACES measures the difference in task completion with and without the skill loaded, validated on 947 paired cases from 58 production skills, and introduces Agent Trajectory Interchange Format for cross-harness comparison.
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