Showing cs.AIShow all
3 papers · 1 filter
cs.AI2026
Safe Skill Retirement for Physical Agents
Zhonghao Zhan, Xiao Ma, Hamed Haddadi
Agent skills bundle procedural guidance with execution conditions governing authority, user consent, and live environment state. When model capabilities advance, maintainers prune…
cs.AI2026
Auto-Policy, not Auto-Skill: Compiled Agent Skills for the Physical World
Zhonghao Zhan, Hamed Haddadi
Self-evolving Skill harnesses (AutoSkills, Hermes Agent) generate more advisory orchestration automatically; their reported gains are efficiency, not safety. This misses the actual…
cs.AI2026
SimVerity: When Does Simulated Agent Success Survive Physical Deployment?
Zhonghao Zhan, Yefan Zhang, Krinos Li +1
Simulated evaluation is widely used to benchmark AI agents, yet how much evidence a simulated pass provides about physical deployment has not been systematically quantified. We pre…