3 papers
cs.AI2026
Making Agents More Consistent: Skills Should Form Habits for Repeat Tasks
Travis Weber, Rohit Taneja
On repeated work, agents are inconsistent. We ran 42 tasks three times each and found that, depending on the model, 38% to 74% returned answers that did not agree. Consistency is w…
cs.CR2026
Scan the Skill, Govern the Action: Composing Registry Verdicts with Runtime Consequence Control
Rohit Taneja, Travis Weber
Agent skill registries screen what they publish. OpenClaw's security team reported that its scanners overlap on at most 10.4% of combined positives, and 81.9% of flagged skills are…
cs.AI2026
The Digital Apprentice: A Framework for Human-Directed Agentic AI Development
Travis Weber, Rohit Taneja
Agentic AI deployments face a recurring design tension: heavy human oversight limits scale, while broad autonomy outruns accountability. Neither posture provides the governance inf…