EU AI Act Article 50 Transparency Assessor — Deployment Guide

See CHANGELOG.md for version history.

Overview

EU AI Act Article 50 Transparency Assessor — a standalone-but-suite-aware skill that identifies which
of the Art. 50(1)–(5) transparency duties apply to a system and guides what must be implemented and by
when. It produces two deliverables: a formal mini-report and a per-obligation compliance checklist
with gap flags.

Five duties, two roles — 50(1) interaction disclosure and 50(2) synthetic-content marking (provider);
50(3) emotion/biometric notice and 50(4) deepfake/public-interest-text labelling (deployer); 50(5)
delivery quality (cross-cutting)
Trigger + exemption logic — the average-consumer obviousness test (50(1)), the assistive-function
exemption (50(2)), the Art. 5 gate (50(3)), and the narrow 50(4) exceptions
Implementation depth — the final Code of Practice's layered marking architecture, the official EU
labelling icon set, and per-modality placement
Dated, Omnibus-aware roadmap — 2 Aug 2026, the 2 Dec 2026 legacy grace (adopted by Council 29 Jun 2026,
awaiting OJ), the 22 Jul 2026 signatory deadline, and the 2 Feb 2027 Code interoperability date
Standalone but chainable — ingests the classifier's ASSESSMENT CONTEXT block and emits its own
portable Art. 50 compliance block

File Structure

ai-act-transparency/
├── SKILL.md                              # Main skill instructions (deploy this)
├── CHANGELOG.md                          # Version history
├── evals/
│   └── evals.json                        # Test cases
└── references/
    ├── art50-duties.md                   # The five duties + 50(6) governance
    ├── obviousness-and-exceptions.md     # Obviousness test, exemptions, boundaries, cross-provision interactions
    ├── code-of-practice-final.md         # Final Code of Practice (10 Jun 2026) — provider marking + deployer labelling
    ├── commission-guidelines-art50.md    # Draft Commission Guidelines (8 May 2026)
    ├── eu-labelling-icons.md             # Official EU icon set + design/placement requirements
    ├── timeline-and-grace.md             # Dated roadmap + Digital Omnibus grace (adopted, awaiting OJ)
    ├── implementation-checklists.md      # Provider / deployer / SME action checklists
    ├── report-template-art50.md          # Mini-report, checklist, and portable compliance block templates
    └── sources.md                        # Audit-grade source manifest (URLs, status, last-checked, uncertainty tiers)

Deployment

Claude.ai (User Skills)

Go to Settings → Profile → Custom Skills (or equivalent)
Upload the entire ai-act-transparency/ folder structure
The skill auto-triggers on "Art. 50 transparency obligations", "do we need to label AI content /
deepfakes", "AI chatbot disclosure", "synthetic content marking", "Kennzeichnungspflicht", or
"Transparenzpflichten"

Claude Code / Custom MCP Setup

Copy the ai-act-transparency/ folder to your skills directory:

cp -r ai-act-transparency/ /path/to/your/skills/user/ai-act-transparency/

Ensure the skill is registered in your configuration

Usage

Quick Start

Either start fresh or hand over context from a prior skill:

> "We're launching an AI support chatbot and an image generator under our own brand. What Article 50
> transparency duties apply, what do we implement, and by when?"

Or chain from the classifier:

> "Here's the ASSESSMENT CONTEXT block from the classifier — assess our Art. 50 transparency obligations
> and produce the report and checklist."

Trigger Phrases

"Check Art. 50 transparency obligations" / "Transparenzpflichten"
"Do we need to label AI content / deepfakes" / "Kennzeichnungspflicht"
"AI chatbot disclosure" / "synthetic content marking" / "watermarking"
"What must we implement under Art. 50 and by when"

Workflow

Phase	Description
Phase 1: Intake	System description + optional `ASSESSMENT CONTEXT` ingestion
Phase 2: Role Determination	Provider / deployer / both
Phase 3: Trigger Determination	Per-duty trigger + obviousness/exception test
Phase 4: Implementation Deep-Dive	What to build per triggered duty
Phase 5: Dated Roadmap	Omnibus-aware deadlines
Phase 6: Output	Mini-report + checklist + portable compliance block

Regulatory Basis

Document	Reference
EU AI Act	Regulation (EU) 2024/1689, Article 50 + recitals 132–137
Deepfake definition	Art. 3(60)
Penalty band	Art. 99(4) — Tier 2 (EUR 15M / 3%)
Code of Practice on Transparency of AI-Generated Content	Final, 10 June 2026 (Art. 50(7))
Commission Guidelines on Art. 50	Draft, 8 May 2026 (Art. 96(1)(d))
Digital Omnibus	50(2) legacy-marking grace to 2 Dec 2026 — adopted (Council final green light 29 Jun 2026), awaiting OJ publication

License & Disclaimer

This skill produces structured Art. 50 transparency guidance based on Regulation (EU) 2024/1689, the final
Code of Practice on Transparency of AI-Generated Content, and the Commission's draft Art. 50 Guidelines. It
is not legal advice. The Code is voluntary and adherence is not conclusive evidence of compliance; only the
CJEU can authoritatively interpret Art. 50. Outputs should be reviewed by qualified legal counsel before
regulatory use.

Licensed under AGPL-3.0 — see LICENSE at the repo root.

Created by Oliver Schmidt-Prietz — OneZero Legal

EU AI Act Transparency Assessor