WeihangSu/SRA-Bench

SRA-Bench: Skill Retrieval Augmentation for Agentic AI SRA-Bench is a benchmark for studying Skill Retrieval Augmentation (SRA): how LLM agents retrieve, select, and use external skills to solve capability-intensive tasks. RAG retrieves knowledge. SRA retrieves capabilities. Modern LLM agents increasingly rely on external resources such as tools, APIs, memory, workflows, executable code, and reusable skills.SRA-Bench provides a large-scale benchmark for evaluating whether… See the full description on the dataset page: https://huggingface.co/datasets/WeihangSu/SRA-Bench.

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