mirror of
https://github.com/linshenkx/prompt-optimizer.git
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2cdd095c2b
- fold earlier planning notes into a single current-spec and archived history structure - keep manual acceptance steps and real API samples aligned with the refactored analysis/result/compare model - retain supporting workspace notes needed to review version-selection and evaluation behavior changes
21 lines
1.3 KiB
Plaintext
21 lines
1.3 KiB
Plaintext
```json
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{
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"score": {
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"overall": 78,
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"dimensions": [
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{ "key": "goalAchievementRobustness", "label": "目标达成稳定性", "score": 70 },
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{ "key": "outputQualityCeiling", "label": "输出质量上限", "score": 90 },
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{ "key": "promptPatternQuality", "label": "提示词模式质量", "score": 65 },
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{ "key": "crossSnapshotRobustness", "label": "跨快照鲁棒性", "score": 60 },
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{ "key": "workspaceTransferability", "label": "对工作区的可迁移性", "score": 85 }
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]
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},
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"improvements": [
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"在原始提示词中补充明确的任务类型（如七言律诗）、表达方式要求（含蓄、不解释）和意象范围，可以显著提升模型输出的质量与一致性。",
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"为提高跨快照鲁棒性，建议在提示词中加入格式规范（如八句四联、押平声韵），以减少模型因理解偏差导致的输出不稳定。",
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"在需要控制输出风格时，应避免模糊指令（如“写一首诗”），而应使用更具体的任务描述，引导模型聚焦于特定文学形式或情感表达。"
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],
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"summary": "快照 B 的输出质量更高，主要得益于其明确了任务类型、格式约束及禁止项，这些差异直接影响了生成结果的文学性和一致性。"
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}
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```
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