Author

Yingnan Zhou

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Preprint Aug 2026

KubeCap: A Framework for Capability Minimization in Kubernetes via Static Analysis and LLM-Assisted Rule Inference

KubeCap, a framework for Kubernetes capability minimization, is proposed and Evaluation on 10 representative Go-based Kubernetes projects shows an average capability reduction rate of 54.97%, outperforming rapid type analysis and class hierarchy analysis baselines while maintaining practical analysis cost.

Yuhao Liu, Yingnan Zhou, Weijie Liu et al. · 0 citations

Preprint Aug 2026

SkillConsist: Detecting Inconsistencies in Agent Skills via Bidirectional Graph Alignment

This work constructs a 633-Skill benchmark from ClawHub's 500 most-downloaded public Skills and 133 Skill-Inject packages and presents SkillConsist, a model that achieves 86.85% precision, 89.03% recall, and 87.93% F1 for package-level detection, improving F1 over the best baseline by 20.43 percentage points.

Chaofan Meng, Yuhang Zheng, Yingnan Zhou et al. · 0 citations