risk-classification

Classify AI system risk levels according to EU AI Act criteria.

Updated Feb 27, 2026
One-click install
npx skills add https://github.com/jcoutsousa/mobile-monorepo-template --skill risk-classification
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: risk-classification
Source: https://github.com/jcoutsousa/mobile-monorepo-template/tree/main/.github/skills/risk-classification
Command: npx skills add https://github.com/jcoutsousa/mobile-monorepo-template --skill risk-classification

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps organizations evaluate the risk level of AI systems based on EU AI Act criteria, ensuring compliance and ethical use.

Core Features & Use Cases

  • Risk Level Determination: Classifies AI systems as unacceptable, high-risk, limited, or minimal risk.
  • Regulatory Compliance: Assists regulatory bodies and developers in assessing potential legal and safety implications.
  • Use Case: A company deploying facial recognition can determine if their system falls under high-risk categories like biometric identification according to Annex III.

Quick Start

Use the risk classification skill to evaluate the AI system codebase and dependencies for compliance and safety risks.

Frequently Asked Questions about risk-classification

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

FAQPage Schema
How do I classify AI system risk levels under the EU AI Act?

To classify AI system risk under the EU AI Act, analyze system components, usage patterns, and dependencies to determine if practices are prohibited or fall into high-risk, limited-risk, or minimal risk categories.

What are prohibited practices and high-risk categories in EU AI regulation?

Prohibited practices and high-risk categories in EU AI regulation are specific system uses, such as biometric identification defined in Annex III, which require strict compliance audits and safety validation to ensure ethical deployment.

How do I perform a compliance audit for an AI codebase?

Perform a compliance audit for an AI codebase by evaluating the system's codebase and dependencies against EU AI Act criteria, checking for General Purpose AI (GPAI) markers and safety validation requirements.

Does this regulatory assessment tool evaluate usage patterns and dependencies?

Yes, this regulatory assessment evaluates AI system usage patterns and dependencies to accurately identify compliance risks and safety implications according to EU AI Act regulatory frameworks.

When do I need an EU AI Act risk assessment for my AI system?

You need an EU AI Act risk assessment when deploying AI systems to ensure regulatory compliance, determine if system components fall under high-risk categories like biometric identification, and generate required regulatory reporting.