NVIDIA Paper Proposes Skill Lift to Evaluate Agent Skills

An NVIDIA paper proposes Skill Lift, measuring agent skills by comparing task performance with and without a skill loaded. It finds traditional structural scans correlate poorly with LLM-judged quality (rho=0.14), making high-scoring skill docs misleading.

2026-08-24 ~ 2026-08-26 · 3 related posts

• NVIDIA Paper Proposes ACES: Evaluating Agent Skills via Skill Lift, Outperforming Structural Scans — omarsar0 · 2026-08-24
• NVIDIA Paper Proposes Skill Lift for Evaluating Agent Skills — dr_alphalyrae · 2026-08-24
• NVIDIA Paper: Evaluate Skills, Not Agents, as Document Scores Show Zero Correlation with Lift — rohanpaul_ai · 2026-08-26