[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"aihot-art-92905":3},{"itemId":4,"vertical":5,"category":6,"source":7,"score":8,"title":9,"summary":10,"analysis":11,"url":12,"coverUrl":13,"direction":13,"marketSignal":13,"publishedAt":14},"92905","ai","论文研究","Elvis Saravia",60,"开源工具ProofAgent-Harness评估AI智能体上下文可靠性","DAIR.AI推出开源工具ProofAgent-Harness，通过七项标准评估AI智能体上下文质量与可靠性。","DAIR.AI 推出开源评估工具 ProofAgent-Harness，通过七项标准对智能体上下文质量进行多裁判共识评分。\n· 七项标准包括角色清晰度、护栏覆盖、指令一致性、工具架构质量、基础充分性、注入防护和 token 效率。\n· 研究验证上下文工程质量是智能体可靠性的独立领先指标。\n· 基础充分性可预测幻觉抵抗，护栏覆盖预测操纵抵抗，工具架构质量预测工具使用准确性。\n影响\u002F看点：为智能体可靠性评估提供了标准化工具，有助于提升 AI 系统的安全性和可信度。","https:\u002F\u002Fx.com\u002Fomarsar0\u002Fstatus\u002F2078585861315432645",null,"2026-07-19 05:01:02"]