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ai-governance-risk-reviewer

Review AI feature governance posture and identify blocking gaps before launch.

2|Updated Jul 6, 2026
Search Tags:#compliance#human oversight#ai governance#model card#launch readiness#risk tiering#risk review
One-click install
npx skills add https://github.com/nguyenpv1980-wq/Project-Aegis --skill ai-governance-risk-reviewer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-governance-risk-reviewer
Source: https://github.com/nguyenpv1980-wq/Project-Aegis/tree/main/.claude/skills/ai-governance-risk-reviewer
Command: npx skills add https://github.com/nguyenpv1980-wq/Project-Aegis --skill ai-governance-risk-reviewer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill reviews whether an AI feature is governed responsibly before launch, helping teams decide if the feature’s risk, oversight, accountability, disclosure, and documentation are sufficient to ship.

Core Features & Use Cases

  • Risk tiering: Classifies an AI feature as minimal, limited, high, or unacceptable based on impact, reversibility, autonomy, data sensitivity, and rights exposure.
  • Oversight and accountability: Checks whether the human oversight model matches the tier, and whether a named human owner and escalation path exist.
  • Governance readiness: Verifies AI disclosure, consent or lawful basis, data-use and retention posture, model or feature card completeness, and obligation-to-control mapping.
  • Use case: Review a customer-facing AI assistant, hiring screener, or automated decision system before release to identify blocking governance gaps.

Quick Start

Ask the ai-governance-risk-reviewer to assess the feature’s risk tier, oversight model, accountability, disclosure, and documentation readiness for launch.

Frequently Asked Questions about ai-governance-risk-reviewer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check if an AI feature is ready for launch?▼

Launch readiness checks verify if an AI feature is governed responsibly by validating risk tier, oversight, accountability, disclosure, and documentation. This review identifies blocking governance gaps to decide if the feature can ship safely.

What is AI risk tiering and how does it affect deployment?▼

AI risk tiering classifies features as minimal, limited, high, or unacceptable based on impact, reversibility, autonomy, data sensitivity, and rights exposure. This classification determines required oversight levels and whether deployment proceeds.

How do I assign accountability and human oversight for automated decision systems?▼

Accountability assignment matches human oversight models to the AI risk tier, ensuring named owners and escalation paths exist. This verifies the oversight model fits the feature's autonomy level before release.

What documentation do I need for an AI governance review?▼

AI governance reviews require impact analysis, data governance details, model documentation, and regulatory or policy context. Complete model or feature cards and obligation-to-control mapping are verified to produce a governed verdict.

Can I use this to review a customer-facing AI assistant before release?▼

Yes, governance reviews apply to customer-facing AI assistants, hiring screeners, and automated decision systems. The review identifies whether disclosure, consent, data-use posture, and documentation are sufficient to ship.

What AI governance gaps should block a feature from shipping?▼

Blocking governance gaps include missing human oversight for the risk tier, absent named accountability owners, incomplete model cards, missing AI disclosure, and unmapped regulatory obligations that prevent responsible launch.

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