Reproduce “AtomSearch: Evidence-Grounded Tree Search for Agent Skill Optimization” on OpenResearch

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About this paper

Jia Tong, Senyou Deng, Min Peng, Jianfeng Pan

AtomSearch adapts a frozen agent through editable skill instructions. It proposes evidence-linked edits and searches executable skill states, testing later compositions despite weak earlier scores. On LiveMathematicianBench, deepseek-v4-flash scores 52.42% versus SkillOpt’s 42.74%, leading on three of four tasks. In 20 of 30 searches, the best validation state had a non-top-scoring ancestor; this does not show every weak state helps.

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