qms-tracker

Manages QMS tracking and compliance for AI systems under Article 17 of the EU AI Act.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps organizations track and manage their Quality Management Systems (QMS) specifically for AI systems, ensuring compliance with regulatory requirements like Article 17 of the EU AI Act.

Core Features & Use Cases

  • Compliance Assessment: Evaluate AI systems against Art. 17 requirements.
  • Documentation Management: Record findings, decisions, and evidence related to QMS.
  • Continuous Improvement: Implement controls and monitor their effectiveness.
  • Use Case: A company developing an AI-powered medical device can use this skill to systematically assess its AI against Art. 17, document the compliance measures taken, and maintain an ongoing record for regulatory audits.

Quick Start

Use the qms-tracker skill to assess the current compliance status of an AI system against Art. 17 requirements.

Frequently Asked Questions about qms-tracker

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

FAQPage Schema
What is AI Quality Management System tracking under EU AI Act Article 17?

AI Quality Management System tracking under EU AI Act Article 17 is the process of assessing AI systems against regulatory requirements, implementing controls, and documenting compliance findings. It ensures ongoing adherence to AI governance standards during development and deployment.

How do I document compliance findings for an AI system against Article 17 requirements?

To document compliance findings for an AI system against Article 17 requirements, you assess the system, record decisions and evidence, implement controls, and maintain ongoing monitoring records. This systematic documentation creates an auditable trail of regulatory adherence for AI development and deployment.

Can I use a QMS tracker for continuous monitoring of AI risk management controls?

Yes, you can use a QMS tracker for continuous monitoring of AI risk management controls. It facilitates ongoing tracking of implemented control effectiveness, supports continuous improvement processes, and maintains a living record of your AI system's compliance status against EU AI Act standards.

Does Article 17 compliance tracking support AI systems in regulated industries like medical devices?

Article 17 compliance tracking supports AI systems in regulated industries like medical devices by providing a systematic framework to assess regulatory requirements, document compliance measures, and maintain an ongoing record for audits. It aligns AI governance with industry-specific risk management needs.

What is the best way to prepare for an AI governance regulatory audit under the EU AI Act?

The best way to prepare for an AI governance regulatory audit under the EU AI Act is to systematically assess your AI against Article 17, document all compliance measures and evidence, and maintain an ongoing record of controls and monitoring processes using a dedicated QMS tracking approach.

Are there limitations to using a compliance tracker for EU AI Act Quality Management Systems?

Limitations of using a compliance tracker for EU AI Act Quality Management Systems include its intermediate implementation depth, which requires manual input for assessment findings. It facilitates tracking and documentation but does not automate the legal interpretation of Article 17 or enforce controls automatically.