Update to Aivana CIO Decision Twin

{
  "name": "service-health-sentinel",
  "description": "Detect service health pressure from incident, SLA, outage, ticket, recovery, billing and operations signals. Use when the user needs service health sentinel for CIO decision support.",
  "included_files": [
    {
      "relative_path": "agents/openai.yaml",
      "size_in_bytes": 139
    }
  ],
  "skill_md_contents": "---\nname: service-health-sentinel\ndescription: Detect service health pressure from incident, SLA, outage, ticket, recovery, billing and operations signals. Use when the user needs service health sentinel for CIO decision support.\n---\n\n# Service Health Sentinel\n\n## Mission\n\nTranslate operational service signals into executive health posture.\n\n## Inputs\n\nAccept incident notes, SLA data, support queues, outage risks, service reports, customer-impact notes and operations updates.\n\n## Workflow\n\n1. Identify service health signals.\n2. Classify health as Green, Amber or Red.\n3. Map dimensions: availability, performance, customer impact, recovery and support load.\n4. Recommend next health check.\n5. Identify escalation needs.\n\n## Output Format\n\n- Executive Summary\n- Service Health\n- Service Signals\n- Health Dimensions\n- Next Health Check\n- Escalation Needs\n- Evidence & Assumptions\n\n## Guardrails\n\nDo not claim live monitoring. Use provided context only.\n"
}