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  5. Skill Lift
Evaluation & Benchmarksaka Agent Skill Liftaka composite Skill Lift

Skill Lift

Skill Lift is the score difference between an agent run with a skill installed and a baseline run without it on the same task — the runtime measure of whether a SKILL.md package actually helps.

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NVIDIA's ACES framework defines Skill Lift as with-skill minus without-skill on paired live agent trajectories, grading discovery, workflow, tool efficiency, and accuracy — not static document scans. In August 2026 production-skill evals across 947 cases, mean composite Skill Lift was +0.21, but roughly 27% of pairs showed zero or negative lift, meaning scan-only quality scores did not predict runtime value.

Related terms

AI BenchmarkEvaluation HarnessAgent HarnessARC-AGI-3Pairwise ComparisonAgentBench