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SkillEvolBench is a diagnostic benchmark for evaluating whether large language model agents can distill episodic experience into reusable procedural skills. It includes 180 tasks across six environments and finds that current agents often struggle to form robust reusable skills, with raw trajectory reuse often outperforming distilled skills.