{"id":21072,"plugin_id":"plugins_6aac006819508191a02506fb32a88714","kind":"skill","collection_source":null,"comparison_source":null,"observed_at":"2026-09-30T23:16:47.633Z","digest":"e764fead1c5f30a1aadfc8d0f2a6a80967f2dbf4f4a4b3bdad9f8470f36de38d","against":null,"payload":{"name":"ai-portfolio-governance","description":"Govern AI use cases as a portfolio with business owner, data owner, model risk tier, evaluation baseline, human review and rollback path. Use when the user needs ai portfolio governance for CIO decision support.","included_files":[{"relative_path":"agents/openai.yaml","size_in_bytes":139}],"skill_md_contents":"---\nname: ai-portfolio-governance\ndescription: Govern AI use cases as a portfolio with business owner, data owner, model risk tier, evaluation baseline, human review and rollback path. Use when the user needs ai portfolio governance for CIO decision support.\n---\n\n# AI Portfolio Governance\n\n## Mission\n\nMove AI initiatives from scattered experiments to governed portfolio decisions.\n\n## Inputs\n\nAccept AI use-case lists, model notes, data-risk context, privacy findings, automation plans, value hypotheses and approval requests.\n\n## Workflow\n\n1. Identify AI use-case and automation signals.\n2. Map owner, data owner, risk tier, evaluation and control gaps.\n3. Separate pilot, production and prohibited/blocked states.\n4. Draft portfolio controls and approval gate.\n5. Recommend next governance action.\n\n## Output Format\n\n- Executive Summary\n- Governance Level\n- AI Signals\n- Portfolio Controls\n- Approval Gate\n- Recommended Action\n- Evidence & Assumptions\n\n## Guardrails\n\nDo not claim AI approval. Human governance remains required.\n"},"changes":[],"summary":"First saved snapshot. No earlier version is available for comparison.","summary_kind":"deterministic","summary_metadata":{}}