Community-contributed semantic type definitions for GoldenCheck.

Domain packs teach GoldenCheck about industry-specific column types, improving detection accuracy and reducing false positives.

goldencheck scan data.csv --domain healthcare

curl -o goldencheck_domain.yaml https://raw.githubusercontent.com/benzsevern/goldencheck-types/main/domains/telecom.yaml
goldencheck scan data.csv

Use the install_domain tool to browse and install community domains.

1. Fork this repo
2. Add a YAML file in domains/ following the format below
3. Open a PR — CI validates your YAML automatically

description: "Short description of the domain"

types:
  my_type:
    name_hints: ["column_name_hint", "another_hint"]
    value_signals:
      min_unique_pct: 0.90    # optional: minimum uniqueness
      max_unique: 20          # optional: maximum unique values
      format_match: "email"   # optional: regex format
      mixed_case: true        # optional: mixed case values
      avg_length_min: 15      # optional: minimum average string length
      short_strings: true     # optional: short string values
      numeric: true           # optional: numeric values
    suppress: ["pattern_consistency", "cardinality"]  # checks to suppress

• Plain string: substring match ("npi" matches npi_number, provider_npi)
• Ending with _: prefix-only match ("is_" matches is_active but NOT diagnosis)
• Starting with _: suffix-only match ("_id" matches patient_id)

uniqueness, nullability, format_detection, type_inference, range_distribution, cardinality, pattern_consistency, temporal_order, encoding_detection, sequence_detection, drift_detection

MIT