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 **Behavior-Skill** is a skill-centric dataset and evaluation benchmark built on [BEHAVIOR-1K](https://behavior.stanford.edu/) for Vision-Language-Action (VLA) policies in long-horizon mobile manipulation tasks. It establishes executable constituent skills as the fundamental unit for both policy learning and evaluation.
 
-**Paper:** [arXiv](https://arxiv.org/abs/2608.30536)  |  **Code:** [GitHub](https://github.com/mafangniu/Behavior-Skill)
+**Paper:** [arXiv](https://arxiv.org/abs/2608.30536)  |  **Code:** [GitHub](https://github.com/nubot-nudt/Behavior-Skill)
 
 Behavior-Skill contains **235,492 skill instances** constructed from **10,000 demonstrations** across **50 household tasks** and **34 semantic skill categories**. Each annotated instance contains a skill instruction and its aligned frame interval in the corresponding BEHAVIOR-1K demonstration. For **500 evaluation demonstrations** (10 per task), the release additionally provides per-skill BDDL success conditions and restorable OmniGibson states for independent closed-loop evaluation.