SKILL.nb: Selective Formalization and Gated Execution for Durable Agent Workflows
AI agents increasingly turn past experience into reusable artifacts such as code, workflows, and procedural memories. Reuse can improve efficiency, but it also creates a lifecycle reliability problem: artifacts that succeed once may fail under environment drift, underspecified tasks, or changing task distributions, especially in web automation. We introduce SKILL.nb, a framework for governing reusable agent workflows with evidence-calibrated lifecycle policies. SKILL.nb uses selective formalizat
Record details
Published: 6 June 2026
Source: arXiv
Category: Research
Topics: Jobs & economy · Agents & autonomy · Environment
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (6 June 2026), “SKILL.nb: Selective Formalization and Gated Execution for Durable Agent Workflows,” evidence record 1329, https://ethics.ai/record/1329 (originally published by arXiv).
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