discrepancy-identification

Research

Compare same-method scores across sources, flag significant deviations

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Source SKILL.md: https://github.com/yogsoth-ai/de-anthropocentric-research-engine/blob/HEAD/skills/discrepancy-identification/SKILL.md

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Discrepancy Identification

Purpose

Detect statistically significant discrepancies between scores reported for the same method across different sources. Identifies potential score inflation, implementation bugs, evaluation protocol differences, and unreliable baselines.

Input Schema

Field	Type	Description
score_pairs	object[]	Array of {source_a, source_b, method, dataset, metric, score_a, score_b, conditions_a, conditions_b}

Output Schema

{
  "comparisons": [
    {
      "method": "string",
      "dataset": "string",
      "metric": "string",
      "score_a": 0.0,
      "source_a": "string",
      "score_b": 0.0,
      "source_b": "string",
      "absolute_delta": 0.0,
      "relative_delta_pct": 0.0,
      "is_significant": true,
      "likely_cause": "string",
      "confidence": "high|medium|low"
    }
  ],
  "flagged_methods": [
    {
      "method": "string",
      "num_discrepancies": 0,
      "max_delta": 0.0,
      "reliability_assessment": "string"
    }
  ],
  "systematic_patterns": ["string"]
}