ai-safety

Assess AI systems for safety compliance with EU AI Act Article 9.

2|Updated Jan 15, 2026
One-click install
npx skills add https://github.com/DTMC-marketplace/governance --skill ai-safety
Or copy as Structured Prompt for Agent
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Skill: ai-safety
Source: https://github.com/DTMC-marketplace/governance/tree/main/skills/ai-safety
Command: npx skills add https://github.com/DTMC-marketplace/governance --skill ai-safety

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the critical need to ensure AI systems operate safely and comply with regulatory frameworks like the EU AI Act, mitigating risks to health and safety.

Core Features & Use Cases

  • AI Safety Assessment: Evaluate AI systems against general safety protocols and specific regulatory requirements (e.g., EU AI Act Art. 9).
  • Compliance Implementation: Assist in deploying controls and measures to meet safety standards.
  • Risk Mitigation: Identify and address potential health and safety risks associated with AI deployment.
  • Use Case: A company developing a new AI-powered medical diagnostic tool can use this Skill to assess its compliance with EU AI Act Article 9 and implement necessary safety testing and documentation.

Quick Start

Use the ai-safety skill to assess the current compliance status of an AI system against Art. 9 requirements.

Frequently Asked Questions about ai-safety

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

FAQPage Schema
How do I assess AI systems for EU AI Act Article 9 compliance?

To assess AI systems for EU AI Act Article 9 compliance, evaluate them against specific regulatory requirements, implement necessary controls, and facilitate risk mitigation and safety testing to ensure adherence to health and safety protocols.

What is AI safety risk mitigation and when is it required?

AI safety risk mitigation is the process of identifying and addressing potential health and safety risks associated with AI deployments. It is required when evaluating AI systems against general safety protocols and regulatory frameworks to prevent failures and incidents.

How do I conduct failure mode analysis for AI deployments?

Conduct failure mode analysis for AI deployments by assessing the system against regulatory requirements and general safety protocols. This process identifies potential failure modes, facilitates incident prevention, and implements necessary controls for ongoing monitoring.

Can I use this approach for health and safety risk assessment in medical AI tools?

Yes, you can use this approach for health and safety risk assessment in medical AI tools. It evaluates AI systems against regulatory frameworks like the EU AI Act, facilitating safety testing, risk mitigation, and compliance documentation for deployments such as medical diagnostics.

Does AI safety compliance require ongoing monitoring and documentation?

Yes, AI safety compliance requires ongoing monitoring and documentation. Evaluating AI systems against regulatory requirements involves implementing controls, maintaining documentation, and continuously monitoring the system to ensure sustained adherence to safety protocols.