Update to Aivana CIO Decision Twin

{
  "name": "data-trust-radar",
  "description": "Assess whether decisions are based on trustworthy data by checking ownership, metric definition, lineage, freshness and privacy classification. Use when the user needs data trust radar for CIO decision support.",
  "included_files": [
    {
      "relative_path": "agents/openai.yaml",
      "size_in_bytes": 132
    }
  ],
  "skill_md_contents": "---\nname: data-trust-radar\ndescription: Assess whether decisions are based on trustworthy data by checking ownership, metric definition, lineage, freshness and privacy classification. Use when the user needs data trust radar for CIO decision support.\n---\n\n# Data Trust Radar\n\n## Mission\n\nExpose whether leadership can trust the data behind a decision.\n\n## Inputs\n\nAccept reports, KPI tables, dashboard exports, evidence notes, data-product descriptions, privacy notes and decision packets.\n\n## Workflow\n\n1. Identify data and metric claims.\n2. Check owner, definition, source, lineage, freshness and privacy classification.\n3. Mark missing trust evidence.\n4. Recommend controls needed before decision use.\n5. State decision confidence impact.\n\n## Output Format\n\n- Executive Summary\n- Trust Level\n- Trust Signals\n- Missing Trust Evidence\n- Required Controls\n- Decision Impact\n- Evidence & Assumptions\n\n## Guardrails\n\nDo not claim data quality is proven unless source evidence is provided.\n"
}