菜单
Decide whether risky fields should be skipped, flagged, or escalated.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Compare scientific variables with units, ranges, and quality caveats.
Inspect dataset structure before analysis or visualization.
Evaluate data quality from observed structure and summary evidence.
Choose visual checks that match the inspected data.
Route dataset questions to structure, analysis, or visualization experts.
Choose a plot that confirms numeric conversion integrity.
| name | recommend_skip_flag_or_user_question |
| title | Recommend Skip Flag Or User Question |
| description | Decide whether risky fields should be skipped, flagged, or escalated. |
Use this skill when conversion policy finds unsafe fields. Recommend skipping fields that cannot be represented safely, flagging lossy but acceptable conversions, or asking the user when scientific meaning depends on the choice.
Keep the recommendation tied to field names and risks.
