Trajectory-Guided Fault Localization for Agent Skill Evolution

SkillMorph is a skill‑evolution method that uses trajectory‑guided fault localization to improve agent skills. It links execution evidence to specific skill contents by comparing failure and success trajectories across repeated runs, identifies suspicious actions, and localizes edit sites for revisions. Experiments on SWE‑Skills‑Bench and CannBot show that skills evolved with SkillMorph achieve higher trial‑level accuracy and execution consistency than the original skills and those produced by four other methods, and it has already generated six accepted skill‑revision pull requests in an automated kernel generation setting.

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