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Decide whether risky fields should be skipped, flagged, or escalated.
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Basé sur la classification professionnelle SOC
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.
