skills/jinko-data-table/evals/evals.json

{
  "skill_name": "jinko-data-table",
  "evals": [
    {
      "id": 1,
      "prompt": "I have a CSV with obsId, time, and narrow range bounds. Help me create a Jinkō data table safely and check if it is valid for calibration fitness.",
      "expected_output": "Uses create_data_table_from_csv, validates range-row columns, requires --apply before upload, and checks metadata.public.validForFitnessFunction."
    },
    {
      "id": 2,
      "prompt": "Show me how to upload a pandas dataframe as a Jinkō data table for trial overlay observations.",
      "expected_output": "Uses create_data_table_from_dataframe with point-value schema columns and notes pandas dependency."
    },
    {
      "id": 3,
      "prompt": "Can this skill create output sets too? I need outputs for a trial.",
      "expected_output": "States output sets are out of scope for jinko-data-table and keeps focus on data-table upload/inspection."
    },
    {
      "id": 4,
      "prompt": "Dry-run a point-value CSV where one row has value 5, wideRangeLowBound 6, and wideRangeHighBound 10.",
      "expected_output": "Rejects the row before upload because paired wide bounds must be ordered and strictly contain the point value."
    }
  ]
}