{
  "id": 4117,
  "url": "https://arxiv.org/abs/2605.18401v2",
  "title": "SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution",
  "summary": "Long-horizon LLM agents generate traces that could become reusable experience, but raw trajectories are noisy, local, and hard to govern. Agent Skills offer a structured artifact for combining procedural guidance, executable resources, and applicability boundaries. Yet open skill ecosystems contain redundant, uneven, environment-sensitive artifacts, and indiscriminate updates can pollute future context. We present SkillsVote, a lifecycle-governance framework for Agent Skills across collection, r",
  "authors": "Hongyi Liu, Haoyan Yang, Tao Jiang, Bo Tang, Feiyu Xiong, Yuyu Luo et al.",
  "category": "research",
  "topics": "regulation,agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-18T13:44:19.000Z",
  "fetched_at": "2026-07-14T16:30:45.939Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4117",
  "original_url": "https://arxiv.org/abs/2605.18401v2",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}