{
  "id": 18775,
  "url": "https://arxiv.org/abs/2608.12273v1",
  "title": "Convergent Detour Hijacking: Task-Preserving Resource Amplification in Skill-Based LLM Agents",
  "summary": "LLM agents increasingly rely on third-party skills, using natural-language descriptions for selection and instruction bodies for planning. This progressive-disclosure design exposes two sequential control points to untrusted publishers: a static skill may steer an otherwise correct task onto an unnecessarily costly trajectory. Prior work studies selection manipulation, malicious skill instructions, and tool-chain resource amplification largely separately, leaving their end-to-end composition unc",
  "authors": "Junliang Liu, Ruoyu Li, Wenxin Tang, Jingyu Xiao, Zhenyu Liu, Jingheng Xu et al.",
  "category": "research",
  "topics": "agents-autonomy,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-12T17:12:49.000Z",
  "fetched_at": "2026-08-13T05:10:37.786Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/18775",
  "original_url": "https://arxiv.org/abs/2608.12273v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}