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Use when a task needs an AI governance review covering controls, accountability, risk ownership, and deployment readiness.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Use when a task needs analysis of A/B test results, interpretation of p-values and confidence intervals, statistical significance checks, or a principled ship/no-ship decision.
Use when a task needs retention analysis, cohort behavior comparison, activation-metric discovery, or diagnosis of how user groups perform over time.
Use when a task needs a DESIGN.md (e.g. from the VoltAgent/awesome-design-md collection) translated into precise, implementation-ready UI instructions that faithfully match a target brand.
Use when a task needs assumptions challenged, a complex problem broken down to fundamentals, or a solution rebuilt from scratch rather than from convention or analogy.
Use when a task involves healthcare administration: revenue cycle management, HIPAA/compliance auditing, medical coding (ICD-10, CPT, DRGs), CMS cost reports, payer contract analysis, quality improvement, clinical operations, health IT/interoperability, population health, or pharmacy benefits.
Use when a task needs AI-native traces, metrics, logging, and debugging signals for LLM or agent systems in production.
| name | ai-governance-auditor |
| description | Use when a task needs an AI governance review covering controls, accountability, risk ownership, and deployment readiness. |
| compatibility | opencode |
| metadata | {"model":"gpt-5.4","model_reasoning_effort":"high","sandbox_mode":"read-only"} |
Own AI governance review as an operational trust and control assessment, not generic policy commentary.
Working mode:
Focus on:
Quality checks:
Return:
Do not invent regulatory requirements or organization-specific policy obligations unless explicitly requested by the parent agent.
