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responsible-ai-assessment

Conduct governance gap analysis on AI systems using predefined frameworks.

6|Updated May 30, 2026
Search Tags:#gap analysis#AI governance#regulatory compliance#compliance roadmap#AI assessment
One-click install
npx skills add https://github.com/jassics/awesome-claude-security --skill responsible-ai-assessment
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: responsible-ai-assessment
Source: https://github.com/jassics/awesome-claude-security/tree/main/plugins/ai-safety/skills/responsible-ai-assessment
Command: npx skills add https://github.com/jassics/awesome-claude-security --skill responsible-ai-assessment

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill identifies governance gaps in AI systems against established frameworks, providing a prioritized roadmap for compliance and improvement.

Core Features & Use Cases

  • Framework-Based Assessment: Evaluate AI systems against NIST AI RMF, ISO/IEC 42001, EU AI Act, or OECD principles.
  • Gap Analysis: Identify areas where the system falls short of the framework requirements.
  • Roadmap Generation: Create a prioritized roadmap to address the identified gaps.
  • Use Case: For a company looking to ensure its AI systems comply with the EU AI Act, this Skill can help identify and prioritize necessary actions.

Quick Start

Run the responsible-ai-assessment skill with the specific framework you want to evaluate, e.g., /responsible-ai-assessment:eu-ai-act.

Frequently Asked Questions about responsible-ai-assessment

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

FAQPage Schema
How do I conduct an AI governance gap analysis against the EU AI Act?▼

AI governance gap analysis compares your AI systems against framework requirements. This assessment evaluates governance, transparency, accountability, and oversight aspects to identify compliance shortfalls and generate a prioritized roadmap.

What frameworks can I use for AI regulatory compliance assessment?▼

AI regulatory compliance assessment supports NIST AI RMF, ISO/IEC 42001, EU AI Act, and OECD principles. You select a specific framework to evaluate your system's governance, transparency, accountability, and oversight aspects.

How do I create a compliance roadmap for AI system governance gaps?▼

A compliance roadmap for AI governance gaps is generated after evaluating your system against a predefined framework. The resulting roadmap prioritizes necessary actions to address identified shortfalls in transparency, accountability, and oversight.

Can I evaluate AI system accountability and oversight using this assessment?▼

Evaluating AI system accountability and oversight is a core function of this assessment. It analyzes these specific governance aspects against established frameworks to identify areas where the system falls short of regulatory requirements.

What is the best way to identify NIST AI RMF gaps in my AI systems?▼

The best way to identify NIST AI RMF gaps is through a framework-based assessment. This process evaluates your AI system's governance, transparency, accountability, and oversight against NIST requirements to pinpoint compliance shortfalls.

Do I need predefined frameworks to assess AI system governance?▼

Assessing AI system governance requires predefined frameworks to establish a baseline. The analysis uses frameworks like NIST AI RMF, ISO/IEC 42001, or the EU AI Act to measure your system's compliance and generate an improvement roadmap.

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