Depth assessment of whether an AI system is high-risk under Art. 6 of the EU AI Act, grounded in the Commission's draft Art. 6(5) classification guidelines (general principles + Annex I + Annex III). Covers the Annex I product-safety route, all eight Annex III areas with worked examples, the Art. 6(3) exception and its profiling re-exception, and the Art. 25 quasi-provider trap. Outputs a structured decision block, a practitioner memo, and a JSON interchange artefact.
ai-act-high-risk
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Depth assessment skill for the EU AI Act high-risk classification under Art. 6 (Regulation (EU) 2024/1689), grounded in the European Commission's draft Art. 6(5) classification guidelines (general principles, Annex I, Annex III) published for stakeholder consultation in 2026.
For the full classification workflow, see SKILL.md.
For version history, see CHANGELOG.md.
What this skill does
Given an AI system description and intended-purpose evidence, determines whether the system is high-risk under:
- Art. 6(1) + Annex I — AI system as product or safety component of a product under Union harmonisation legislation requiring third-party conformity assessment.
- Art. 6(2) + Annex III — AI system falling into one of eight high-risk use-case areas (biometrics, critical infrastructure, education, employment, essential services, law enforcement, migration, justice/democracy), subject to the Art. 6(3) exception filter and profiling re-exception.
Outputs a structured decision block + practitioner memo + JSON interchange artefact.
Deployment
Place this skill in your Claude Code skill directory (~/.claude/skills/ or workspace-level). Claude will invoke it on user prompts mentioning Annex I / Annex III / Art. 6 classification, or whenever a broad risk-tier triage has already pointed to a likely high-risk branch that needs the depth assessment.
Disclaimer
This skill is not legal advice. The Commission guidelines it draws on are draft and non-binding (only the CJEU can give authoritative interpretation). Use under qualified counsel.
License
AGPL-3.0 (see repo-root LICENSE file).
> Quality assurance: this skill ships with evaluation tests in the evals/ folder, which I run to check its outputs against expected results.
Created by Oliver Schmidt-Prietz — OneZero Legal