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  5. NVIDIA ACES
Evaluation & Benchmarksaka ACESaka Agentic Continuous Evaluation of Skills

NVIDIA ACES

NVIDIA ACES (Agentic Continuous Evaluation of Skills) is a protocol for evaluating agent skills with live paired runs — same task, same harness, with and without the skill — rather than scanning SKILL.md files alone.

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ACES captures trajectories, tool use, skill discovery, and regressions that structural lint and LLM-judge document scores miss. NVIDIA open-sourced SkillEvaluator as its reference implementation on the nvidia/skills repository with continuous benchmarks.json updates. August 2026 data showed Tier 1 scan scores correlated at Spearman ρ ≈ -0.02 with live Skill Lift — scans are necessary for structure but insufficient to prove a skill helps in production.

Related terms

Skill LiftEvaluation HarnessAgent HarnessTool UseModel LeaderboardElo Rating