```json
{
  "score": {
    "overall": 65,
    "dimensions": [
      { "key": "goalAchievementRobustness", "label": "目标达成稳定性", "score": 40 },
      { "key": "outputQualityCeiling", "label": "输出质量上限", "score": 70 },
      { "key": "promptPatternQuality", "label": "提示词模式质量", "score": 30 },
      { "key": "crossSnapshotRobustness", "label": "跨快照鲁棒性", "score": 20 },
      { "key": "workspaceTransferability", "label": "对工作区的可迁移性", "score": 80 }
    ]
  },
  "improvements": [
    "在提示词中明确角色（如客服助手）、任务步骤（判断问题类型）和输出格式，以提升输出结构化与目标达成率。",
    "增加示例或更具体的约束条件，引导模型生成更贴合场景的回复内容。",
    "统一不同模型间的提示词规范，增强跨模型响应的一致性和可靠性。"
  ],
  "summary": "快照 B 表现更好，因为它补充了明确的角色、任务步骤和输出格式，而快照 A 的提示词过于模糊，导致输出质量低且缺乏结构。"
}
```
