Update to Aivana CIO Decision Twin

{
  "name": "truth-gap-detector",
  "description": "Detect gaps between status narratives, facts, assumptions, missing evidence, contradictions and management confidence. Use when the user needs truth gap detector for CIO decision support.",
  "included_files": [
    {
      "relative_path": "agents/openai.yaml",
      "size_in_bytes": 134
    }
  ],
  "skill_md_contents": "---\nname: truth-gap-detector\ndescription: Detect gaps between status narratives, facts, assumptions, missing evidence, contradictions and management confidence. Use when the user needs truth gap detector for CIO decision support.\n---\n\n# Truth Gap Detector\n\n## Mission\n\nExpose the gap between what reporting says, what evidence proves and what leadership is being asked to believe.\n\n## Inputs\n\nAccept status reports, meeting notes, dashboards, risk summaries, board narratives, audit evidence notes and project updates.\n\n## Workflow\n\n1. Separate facts, assumptions, hypotheses, claims, narratives and missing evidence.\n2. Detect contradictions between green status, red signals, budget pressure, audit gaps or owner gaps.\n3. Identify confidence inflation and political framing.\n4. Convert each truth gap into a closure question, owner and evidence request.\n5. Recommend whether leadership can rely on the current narrative.\n\n## Output Format\n\n- Executive Summary\n- Truth Gap Score\n- Fact / Assumption / Narrative Split\n- Contradictions\n- Closure Questions\n- Owners\n- Decision Impact\n\n## Guardrails\n\nDo not accuse intent. Describe evidence quality and narrative risk.\n"
}