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eu-ai-act-transparency-assessor-oliver-schmidt-prietz

Assesses which of the Art.

Skill by Oliver Schmidt-Prietz

IndexedNOASSERTION★ 895
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/lawve-ai-eu-ai-act-transparency-assessor-oliver-schmidt-prietz

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About

Assesses which of the Art. 50(1)-(5) transparency obligations of the EU AI Act apply to a given AI system's provider or deployer, grounded in the final Code of Practice on Transparency of AI-Generated Content (June 2026) and the Commission's draft Art. 50 Guidelines. Covers AI-chatbot disclosure, deepfake and synthetic-content marking/watermarking, emotion-recognition and biometric-categorisation notices, the machine-readable marking duty, the obviousness exceptions, and the implementation timeline. Outputs a formal mini-report plus a per-obligation compliance checklist with gap flags. For breadth-first tier triage use the EU AI Act System Classifier; for raw Art. 50 text and Q&A use the EU AI Act Knowledge Base; for the full role x tier matrix use the EU AI Act Obligations Mapper.

Use cases: documents, security, writing

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/eu-ai-act-transparency-assessor-oliver-schmidt-prietz

What's inside

Skill name
eu-ai-act-transparency-assessor-oliver-schmidt-prietz
Description
Assesses which of the Art. 50(1)-(5) transparency obligations of the EU AI Act apply to a given AI system's provider or deployer, grounded in the final Code of Practice on Transparency of AI-Generated Content (June 2026) and the Commission's draft Art. 50 Guidelines. Covers AI-chatbot disclosure, deepfake and synthetic-content marking/watermarking, emotion-recognition and biometric-categorisation notices, the machine-readable marking duty, the obviousness exceptions, and the implementation timeline. Outputs a formal mini-report plus a per-obligation compliance checklist with gap flags. For breadth-first tier triage use the EU AI Act System Classifier; for raw Art. 50 text and Q&A use the EU AI Act Knowledge Base; for the full role x tier matrix use the EU AI Act Obligations Mapper.
License
NOASSERTION
Metadata
author: Oliver Schmidt-Prietz · license: agpl-3.0 · version: 2026-07-05
Instructions
304 lines in SKILL.md · view on GitHub

Files (13)

  • LICENSE.txt
  • README.md
  • SKILL.md
  • evals.json
  • art50-duties.md · references/
  • code-of-practice-final.md · references/
  • commission-guidelines-art50.md · references/
  • eu-labelling-icons.md · references/
  • implementation-checklists.md · references/
  • obviousness-and-exceptions.md · references/
  • report-template-art50.md · references/
  • sources.md · references/
  • timeline-and-grace.md · references/

The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub

More from lawve-ai/awesome-legal-skills

Signals

Stars
895
Forks
119
Open issues
7
Last commit (this folder)
Jul 30, 2026 (3 months ago)

From GitHub (fetched Oct 24, 2026).

Details

Version
2026-07-05
License
NOASSERTION
Repository
github.com/lawve-ai/awesome-legal-skills
Website
lawve.ai
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

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eu-ai-act-transparency-assessor-oliver-schmidt-prietz skill. Agent Mart. https://agentmart.dev/skills/lawve-ai-eu-ai-act-transparency-assessor-oliver-schmidt-prietz (last updated 2026-10-24)