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feat(engine): risk scoring by privacy exposure level #101

@martsokha

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@martsokha

DEVELOPER.md Section 5.1: documents and datasets should be scored by aggregate privacy exposure level, enabling organizations to prioritize review effort toward the highest-risk content.

  • Define risk scoring model (entity count, type severity, confidence)
  • Compute score during pipeline execution
  • Include score in pipeline output
  • Add integration test

Reference: docs/DEVELOPER.md Section 5.1

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    enginenvisy-engine: pipeline, registry, operationsfeatrequest for or implementation of a new feature

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