SelfEvoSkill: Paired Execution Audits for Skill Revision without External Outcome Supervision

Excerpt

arXiv:2606.14239v2 Announce Type: replace Abstract: Agent skills provide LLM agents with reusable procedures, but a given skill may be incomplete, ineffective, or misleading for the current task. Existing methods for revising skills typically rely on external outcome supervision, such as task rewards, performance on a separate validation set, or feedback from deployment, to decide which updates to retain. However, this supervision may be costly or unavailable when adapting a skill to a new task.