{
  "id": 19188,
  "url": "https://arxiv.org/abs/2608.12851v1",
  "title": "Practice Makes Unsafe: Skill Misevolution in Self-Improving LLM Agents",
  "summary": "Self-improving LLM agents convert successful trajectories into persistent cross-task state. An unsafe success can thereby become reusable policy after its triggering input disappears. Skill evolution makes this failure measurable by distilling operational trajectories into executable, transferable, and inspectable procedures. Because evolution optimizes task outcomes rather than procedure safety, compromised experience can cause skill misevolution. Existing benchmarks measure current behavior or",
  "authors": "Xutao Mao, Liangjie Zhao, Xiang Zheng, Cong Wang",
  "category": "research",
  "topics": "regulation,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-13T05:47:43.000Z",
  "fetched_at": "2026-08-14T05:10:49.168Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/19188",
  "original_url": "https://arxiv.org/abs/2608.12851v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}