别只盯 52/52，微软把 Codex 练好的技能搬到 Claude Code，电子表格直接涨到 81.8，比自己练还高一点；不过数学任务保留率只有 10%。
SkillOpt 的核心结果不只有 52/52，Section 4.3 显示导出的 best_skill.md 能在未训练过的环境里继续工作。一个用 Codex 训练的 SpreadsheetBench 技能，让 Claude Code 从 22.1 提升到 81.8，略高于该环境自己训练技能得到的 80.4。迁移保留率随任务类型差异明显：电子表格任务达 102%，数学任务只有 10%。
Microsoft’s SkillOpt Shows Optimized Agent Skill Artifacts Transfer Across Model Scales and Between Codex and Claude Code Harnesses
Most coverage of Microsoft's SkillOpt centers on its 52/52 result. The more consequential finding is in Section 4.3: the exported best_skill.md keeps working in environments it was never trained on. A Codex-trained SpreadsheetBench skill lifted Claude Code from 22.1 to 81.8, slightly above the 80.4 that harness reached training its own skill. Retention varies sharply by task type — 102% on spreadsheets, 10% on math — which is what makes the result worth reading closely. The post Microsoft’s SkillOpt Shows Optimized Agent Skill Artifacts Transfer Across Model Scales and Between Codex and Claude Code Harnesses appeared first on MarkTechPost .