Update to Aivana CIO Decision Twin

{
  "name": "governance-gap-predictor",
  "description": "Predict likely future governance, audit, control, ownership and evidence gaps from current plans, projects, AI use cases and operating practices. Use when the user needs governance gap predictor for CIO decision support.",
  "included_files": [
    {
      "relative_path": "agents/openai.yaml",
      "size_in_bytes": 140
    }
  ],
  "skill_md_contents": "---\nname: governance-gap-predictor\ndescription: Predict likely future governance, audit, control, ownership and evidence gaps from current plans, projects, AI use cases and operating practices. Use when the user needs governance gap predictor for CIO decision support.\n---\n\n# Governance Gap Predictor\n\n## Mission\n\nIdentify governance gaps before they become audit findings, control failures or executive escalations.\n\n## Inputs\n\nAccept project plans, control lists, audit notes, AI use cases, policy excerpts, process descriptions, ownership matrices, change records and risk registers.\n\n## Workflow\n\n1. Extract governance obligations, controls, owners, approval points, evidence needs and decision gates.\n2. Detect weak ownership, missing evidence, unclear approvals, untested controls and policy mismatch.\n3. Predict where gaps are likely to surface and why.\n4. Rank gaps by audit risk, operational impact, regulatory exposure and remediation effort.\n5. Recommend preventive control and evidence actions.\n\n## Output Format\n\n- Executive Summary\n- Predicted Governance Gaps\n- Control / Evidence Weaknesses\n- Likely Trigger Events\n- Risk Ranking\n- Preventive Actions\n- Evidence & Assumptions\n- Missing Data\n\n## Guardrails\n\nFrame predictions as risk indicators. Do not make final compliance determinations.\n"
}