transparency-audit

Analyze AI system documentation for EU AI Act transparency compliance.

Updated Feb 27, 2026

Search Tags:#audit #regulatory compliance #eu ai act #ai transparency #articles 13 50

Ready to run

npx skills add https://github.com/jcoutsousa/mobile-monorepo-template --skill transparency-audit

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: transparency-audit
Source: https://github.com/jcoutsousa/mobile-monorepo-template/tree/main/.github/skills/transparency-audit
Command: npx skills add https://github.com/jcoutsousa/mobile-monorepo-template --skill transparency-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill assesses and reports on an AI system's compliance with transparency and disclosure standards specified in Articles 13 and 50 of the EU AI Act.

Core Features & Use Cases

Compliance Evaluation: Checks for Explainability tools, provider information, and disclosure notices.
Documentation Support: Generates structured reports highlighting transparency gaps.
Use Case: Regulatory teams can rapidly verify whether AI deployments disclose system capabilities, limitations, and provider details to meet legal obligations.

Quick Start

Use the transparency-audit skill to evaluate an AI system by providing relevant documentation and system details.

Frequently Asked Questions about transparency-audit

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

FAQPage Schema

How do I verify EU AI Act transparency compliance for my AI system?▼

Check AI system transparency compliance by parsing documentation, code comments, and user-facing disclosures to confirm provider information, system explanations, and synthetic content labels meet Article 13 and 50 requirements.

What is an AI transparency audit under Articles 13 and 50?▼

An AI transparency audit evaluates whether AI deployments disclose system capabilities, limitations, and provider details to satisfy legal obligations under the EU AI Act.

Can I audit synthetic content labels and provider information in my AI documentation?▼

Yes, you can audit synthetic content labels and provider information by evaluating AI system documentation and embedded disclosures to confirm they meet transparency standards and generate a structured compliance report.

How do I generate a compliance report highlighting transparency gaps in an AI system?▼

Generate a compliance report by parsing AI system documentation and user-facing disclosures, which produces a detailed assessment highlighting missing explainability tools, provider info, and disclosure notices.

Does AI transparency auditing require parsing code comments and embedded disclosures?▼

Yes, transparency auditing requires parsing code comments and embedded disclosures alongside system documentation to accurately verify that user-facing disclosure notices meet EU regulatory standards.

What are the limitations of automated AI regulatory compliance evaluation?▼

Automated AI regulatory compliance evaluation is limited to analyzing provided documentation, code comments, and embedded disclosures; it cannot verify undocumented backend system behaviors or provider practices.