Agent skill

Eu AI Act Classification

by lawve-ai in lawve-ai/awesome-legal-skills

Classify AI systems under the EU AI Act (Regulation (EU) 2024/1689) and determine compliance obligations.

AGPL-3.0Auto-check passedLegal & Compliance

Install Eu AI Act Classification

skills CLI
$ npx skills add lawve-ai/awesome-legal-skills --skill eu-ai-act-classification -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install lawve-ai/awesome-legal-skills eu-ai-act-classification --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/eu-ai-act-system-classifier-werner-plutat .claude/skills/eu-ai-act-classification && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
eu-ai-act-classification
GitHub stars
847
Token cost
~3.4k tokens
SKILL.md length
1,668 words
Files
10 (incl. references)
Skills in repo
154
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Classify AI systems under the EU AI Act (Regulation (EU) 2024/1689) and determine compliance obligations.

  • Works in 6 steps: Scope Check → Gate 1: Prohibited Practices (Article 5) → Gate 2: High-Risk (Annex I + Annex III) → …
  • Asked to assess AI risk level
  • SKILL.md covers Classification Workflow, Quick Question Set, Reference Files and Output Format, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Eu AI Act Classification is an agent skill from lawve-ai/awesome-legal-skills. Classify AI systems under the EU AI Act (Regulation (EU) 2024/1689) and determine compliance obligations. Use when asked to assess AI risk level, check if an AI system is prohibited, determine high-risk status, identify GPAI model obligations, map provider/deployer responsibilities, or build an AI Act compliance roadmap. Covers the full classification decision tree (Prohibited → High-Risk → Limited → Minimal → GPAI), obligations by role (provider, deployer, importer, distributor), compliance timelines, and…

Its SKILL.md is about 3.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including reference files (for example `README.md`, `references/dach-specific.md` and `references/gpai-obligations.md`).

It sits in Legal & Compliance, covering AI governance. The repository describes itself as: A curated list of awesome Agent Skills for automating legal work. The licence is AGPL-3.0.

When your agent uses it

  • Asked to assess AI risk level
  • Check if an AI system is prohibited
  • Determine high-risk status
  • Identify GPAI model obligations

Example prompts

  • “classify this AI system”
  • “is this high-risk under the AI Act”
  • “AI Act risk assessment”
  • “/eu-ai-act-classification”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Scope Check
  2. Gate 1: Prohibited Practices (Article 5)
  3. Gate 2: High-Risk (Annex I + Annex III)
  4. GPAI Models (Articles 51–56)
  5. Gate 3: Limited Risk (Article 50)
  6. Default: Minimal Risk

What it can do on your machine

Read from SKILL.md and the folder at commit 045f738. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Eu AI Act Classification loads about 3.4k tokens when it runs, and up to ~28k if it reads all its reference files. Until then it costs about 204 tokens; SKILL.md has 1,668 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~204
When it runs · the whole SKILL.md, loaded when a task matches
~3.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~28k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from lawve-ai/awesome-legal-skills at commit 045f738, republished under its AGPL-3.0 licence (© lawve-ai). 1,668 words, ~3,416 tokens.

Download SKILL.mdSave it as .claude/skills/eu-ai-act-classification/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.
name
eu-ai-act-classification
description
Classify AI systems under the EU AI Act (Regulation (EU) 2024/1689) and determine compliance obligations. Use when asked to assess AI risk level, check if an AI system is prohibited, determine high-risk status, identify GPAI model obligations, map provider/deployer responsibilities, or build an AI Act compliance roadmap. Covers the full classification decision tree (Prohibited → High-Risk → Limited → Minimal → GPAI), obligations by role (provider, deployer, importer, distributor), compliance timelines, and DACH-specific considerations (German works council, BaFin, BSI, BNetzA). Triggers on phrases like "classify this AI system", "is this high-risk under the AI Act", "AI Act risk assessment", "EU AI Act compliance", "prohibited AI practice", "GPAI obligations", "AI Act timeline".

EU AI Act Risk Classification

Classify AI systems under Regulation (EU) 2024/1689 and determine obligations by role.

Important: This skill provides compliance workflow support, not legal advice. Always cite specific EU AI Act articles. Where facts are incomplete, state assumptions explicitly and ask targeted follow-up questions.

Classification Workflow

Follow this decision tree strictly in order. Stop at the first match.

Step 1 — Scope Check

Confirm the AI system falls within scope:

  • Is it placed on the market or put into service in the EU?
  • Who is the provider, deployer, importer, distributor, or authorized representative?
  • Does a territorial or subject-matter exclusion apply (military, national security, pure research)?

If out of scope, document why and stop.

Step 2 — Gate 1: Prohibited Practices (Article 5)

Check every Article 5 category. If any match → PROHIBITED. Stop unless a narrow law enforcement exception applies.

Categories (check all ten: the original eight, plus Art. 5(1)(ba) non-consensual intimate material and (bb) CSAM, both applying from 2 December 2026):

  1. Manipulation/deception causing significant harm
  2. Exploitation of vulnerabilities (age, disability, socio-economic)
  3. Social scoring with disproportionate/unrelated adverse treatment
  4. Individual predictive policing based solely on profiling
  5. Untargeted facial image scraping for recognition databases
  6. Emotion recognition in workplace/education (narrow exceptions)
  7. Biometric categorisation inferring sensitive characteristics
  8. Real-time remote biometric identification in public spaces for law enforcement (narrow exceptions)
  9. Non-consensual intimate material: generating or manipulating realistic intimate or sexually explicit depictions of an identifiable person without their explicit consent (Art. 5(1)(ba), from 2 Dec 2026)
  10. Child sexual abuse material within the meaning of Directive 2011/93/EU, subject to the national "without right" defence (Art. 5(1)(bb), from 2 Dec 2026)

→ For the complete checklist with examples and edge cases, read references/prohibited-practices.md.

Step 3 — Gate 2: High-Risk (Annex I + Annex III)

Annex I path: Is the AI a product or safety component under EU harmonisation legislation (e.g., MDR, IVDR) subject to third-party conformity assessment? → HIGH-RISK

Annex I Section A vs Section B. For products covered by Section B, Regulation (EU) 2024/1689 applies only to the extent set out in its Article 2(2), so the full Chapter III regime does not attach. Regulation (EU) 2026/1744 moved the Machinery Regulation (EU) 2023/1230 from Section A to Section B with effect from 27 July 2026, so AI-enabled machinery now follows the sectoral route. Note that Article 2(2) was itself rewritten by the same act: for Section B products only Article 6(1), the new Article 60a and Articles 102 to 112 apply, with Articles 57 to 59 applying only in so far as the high-risk requirements have been integrated into that sectoral legislation.

The safety-component gateway narrowed on 27 July 2026. Before concluding HIGH-RISK on the Annex I path, apply the new Article 6(1a) to (1c) and the amended Article 3(14):

  • Article 3(14) now ties "safety component" to intended purpose: a component fulfils a safety function where its intended purpose is to prevent or mitigate risks to the health and safety of persons or property. Mere integration into a regulated product does not make it one.
  • Article 6(1a): systems used solely for non-safety related aspects of user assistance, performance optimisation, service efficiency, automation, convenience or quality control do not qualify as safety components.
  • Article 6(1b): despite 1a, a system whose failure or malfunctioning would endanger health and safety does qualify.
  • Article 6(1c): a product required to undergo third-party conformity assessment solely for risks other than health and safety, for example radio spectrum or electromagnetic interference, does not satisfy Article 6(1)(b).

Practical effect: several systems that previously classified as high-risk by virtue of sitting inside a regulated product now fall outside Article 6(1). Document which limb you relied on.

Annex III path: Does the intended purpose fall within one of the eight high-risk use-case categories?

#CategoryQuick examples
1BiometricsRemote identification (1:1 verification of a claimed identity is expressly excluded), categorisation by sensitive attributes, emotion recognition
2Critical infrastructureEnergy grid control, water systems, traffic management
3EducationAdmissions, grading, learning access decisions
4EmploymentCV screening, promotion, termination, task allocation
5Essential servicesPublic-benefit eligibility, credit scoring (fraud detection excluded), life and health insurance pricing, emergency triage
6Law enforcementRisk assessment, evidence evaluation, profiling
7Migration & borderBorder risk assessment, examination of asylum/visa/residence applications (travel-document verification excluded)
8Justice & democracyJudicial assistance, electoral process systems

→ For all categories with examples and edge cases, read references/high-risk-annex-iii.md.

Article 6(3) exception: Even if an Annex III use case matches, a system is NOT high-risk if it does not pose a significant risk of harm to health, safety or fundamental rights, including by not materially influencing the outcome of decision making, and one of these conditions is met:

  • it performs a narrow procedural task,
  • it improves the result of a previously completed human activity,
  • it detects decision-making patterns or deviations from prior decision-making patterns and is not meant to replace or influence the previously completed human assessment without proper human review, or
  • it performs a preparatory task for an assessment relevant for the purposes of the use cases listed in Annex III.

Profiling override, check this FIRST: notwithstanding those conditions, an Annex III system is always high-risk where it performs profiling of natural persons (Art. 6(3), third subparagraph). If the system profiles people, the exception is unavailable and the analysis stops here.

If claiming this exception, document the reasoning thoroughly (Art. 6(4)), and note the Art. 49(2) registration duty for systems relying on it.

Step 4 — GPAI Models (Articles 51–56)

Independent of system-level risk. A minimal-risk app can use a GPAI model with its own obligations. Downstream providers/deployers must still verify vendor evidence and ensure documentation is sufficient for their specific use case and risk profile.

Check:

  • Is a general-purpose AI model involved (broad capability, not narrow-purpose)?
  • Who is the GPAI model provider vs. downstream provider?
  • Does the model meet systemic risk thresholds (compute-based criteria or designation by the Commission)?

→ For GPAI obligations and systemic risk details, read references/gpai-obligations.md.

Show full SKILL.md (683 more words)Show less
Step 5 — Gate 3: Limited Risk (Article 50)

If not prohibited or high-risk, check Article 50 transparency duties. Who owes each duty differs by paragraph:

  • Art. 50(1), provider: systems intended to interact directly with natural persons must be designed so people are informed they are dealing with AI, unless this is obvious to a reasonably well-informed, observant and circumspect person in the circumstances. The obviousness exception belongs to this paragraph only.
  • Art. 50(2), provider: synthetic audio, image, video or text output must be marked in a machine-readable format as artificially generated or manipulated.
  • Art. 50(3), deployer: emotion recognition and biometric categorisation systems require informing the exposed persons.
  • Art. 50(4), deployer: deepfakes must be disclosed, as must AI-generated or manipulated text published to inform the public on matters of public interest, subject to the stated carve-outs.
Step 6 — Default: Minimal Risk

No AI Act-specific obligations. Recommend:

  • AI literacy training (horizontal obligation under the Act)
  • Security and privacy by design
  • Proportionate documentation for auditability
  • Voluntary codes of conduct

Quick Question Set

Use these questions at the start (and whenever facts are missing) to gather the information needed for classification. For borderline cases or uncertainty, escalate early to qualified legal counsel and document assumptions.

System & Purpose

  1. What does the AI system do? What are its inputs and outputs?
  2. What is the intended purpose? What decisions does it support or make?

Impact & Context 3. Does it make or materially influence decisions about individuals in education, employment, essential services, law enforcement, migration, or justice? 4. Who is affected — customers, employees, citizens, patients? 5. Is it customer-facing? Is there meaningful human oversight in practice?

Technical 6. Does it use biometrics, emotion recognition, or infer sensitive attributes? 7. What data categories are processed, including special category data? 8. Is a GPAI model used? Which provider? What compliance evidence is available?

Organisational 9. Who is the provider vs. deployer? Where is it deployed? 10. Is it a product or safety component under EU harmonisation legislation?

If answers are incomplete, state assumptions explicitly and flag gaps.

Reference Files

Load these as needed based on the classification result:

FileWhen to read
references/prohibited-practices.mdEvaluating Article 5 — complete checklist with examples and edge cases
references/high-risk-annex-iii.mdEvaluating Annex III — all 8 categories with examples, edge cases, and the Article 6(3) exception
references/gpai-obligations.mdSystem uses a GPAI model — Articles 51–56, systemic risk thresholds, downstream duties
references/obligations-matrix.mdAfter classification — provider/deployer/importer/distributor responsibilities by risk level
references/timeline.mdBuilding a compliance roadmap — all deadlines with practical planning guidance
references/dach-specific.mdDeployer is in Germany/Austria/Switzerland — works council, BaFin, BSI, BNetzA, sector-specific overlaps
references/templates.mdProducing deliverables — classification memo, risk register entry, executive summary templates

Output Format

Every classification produces three deliverables:

  1. Classification Memo — Formal assessment documenting the decision tree walkthrough, classification result, cited articles, and key assumptions. This is the primary legal record.

  2. Risk Register Entry — Structured entry for the organisation's AI risk register with system name, classification, key obligations, deadlines, and responsible parties.

  3. Executive Summary — One-page summary for leadership with classification result, key obligations, timeline, and recommended next steps.

Always consider horizontal obligations such as AI literacy/training (Article 4) as part of the compliance roadmap, even for minimal-risk systems.

→ For complete templates, read references/templates.md.

Penalties Overview

Flag these in every assessment to ensure appropriate escalation:

ViolationMaximum fine
Prohibited practices€35M or 7% global annual turnover, whichever is higher for an undertaking
High-risk system obligations€15M or 3% global annual turnover, whichever is higher for an undertaking
Incorrect/misleading information€7.5M or 1% global annual turnover, whichever is higher for an undertaking

For SMEs, including startups, the lower of the amount or percentage applies to each Article 99 fine. For SMCs, that lower-of rule applies only to the fines in Article 99(4) and (5), not to prohibited-practice fines under Article 99(3).

Disclaimer

This skill provides structured compliance workflow support based on Regulation (EU) 2024/1689. It does not constitute legal advice. Classification outcomes should be reviewed by qualified legal counsel before being relied upon for compliance decisions. The EU AI Act is subject to delegated acts, implementing acts, and guidance from the EU AI Office that may affect interpretation.

© lawve-ai, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 9 other files (references) in skills/eu-ai-act-system-classifier-werner-plutat of lawve-ai/awesome-legal-skills.

  • SKILL.md
  • LICENSE.txt
  • README.md
  • references/dach-specific.md
  • references/gpai-obligations.md
  • references/high-risk-annex-iii.md
  • references/obligations-matrix.md
  • references/prohibited-practices.md
  • references/templates.md
  • references/timeline.md

Open the folder on GitHubat commit 045f738

Compare with similar skills

Eu AI Act Classification next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Eu AI Act Classification compared with similar skills
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AI Risk Managementbriiirussell/cybersecurity-skills413—~3.7kAutomated safety check: NotesMIT
EU AI Act System Inventoryanthropics/claude-for-legal9.6k3 repos~2.8kAutomated safety check: PassApache-2.0
Eu AI Act Readinessseb1n/awesome-ai-agent-skills206—~3.3kAutomated safety check: PassMIT
AI GovernanceHack23/cia239—~1.4kAutomated safety check: PassApache-2.0

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Questions about Eu AI Act Classification

What does Eu AI Act Classification do?

Classify AI systems under the EU AI Act (Regulation (EU) 2024/1689) and determine compliance obligations. Eu AI Act Classification is an agent skill from lawve-ai/awesome-legal-skills. Classify AI systems under the EU AI Act (Regulation (EU) 2024/1689) and determine compliance obligations.

When should I use Eu AI Act Classification?

Eu AI Act Classification fits situations like: asked to assess AI risk level; check if an AI system is prohibited; determine high-risk status; identify GPAI model obligations.

How do I install Eu AI Act Classification in Claude Code?

Run `npx skills add lawve-ai/awesome-legal-skills --skill eu-ai-act-classification -a claude-code`. Or copy the skill folder (skills/eu-ai-act-system-classifier-werner-plutat in lawve-ai/awesome-legal-skills) into .claude/skills/eu-ai-act-classification in your project. Claude Code loads it when a task matches its description.

How do I install Eu AI Act Classification in Codex?

Run `npx skills add lawve-ai/awesome-legal-skills --skill eu-ai-act-classification -a codex`. Or copy the skill folder (skills/eu-ai-act-system-classifier-werner-plutat in lawve-ai/awesome-legal-skills) into .agents/skills/eu-ai-act-classification in your project. Codex loads it when a task matches its description.

Can I use Eu AI Act Classification in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add lawve-ai/awesome-legal-skills --skill eu-ai-act-classification -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/eu-ai-act-classification, .gemini/skills/eu-ai-act-classification, .github/skills/eu-ai-act-classification and .opencode/skills/eu-ai-act-classification in your project.

What does Eu AI Act Classification need to run?

SKILL.md names no scripts, command-line tools or credentials: Eu AI Act Classification is instructions for the agent only.

Does Eu AI Act Classification access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Eu AI Act Classification safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Eu AI Act Classification use?

Eu AI Act Classification is published under the AGPL-3.0 licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Eu AI Act Classification use?

About 3.4k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 24k tokens, read only when the agent opens those files.

What are the alternatives to Eu AI Act Classification?

Skills that share tags, products or a category with Eu AI Act Classification: Iso42001 (Sushegaad/Claude-Skills-Governance-Risk-and-Compliance, 946 stars), AI Risk Management (briiirussell/cybersecurity-skills, 413 stars), EU AI Act System Inventory (anthropics/claude-for-legal, 9.6k stars) and Eu AI Act Readiness (seb1n/awesome-ai-agent-skills, 206 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Eu AI Act Classification?

lawve-ai (a GitHub organization) maintains it in lawve-ai/awesome-legal-skills, which has 847 GitHub stars. The repository holds 154 skills in this directory. The repository was last updated on October 2, 2026.

Source: lawve-ai/awesome-legal-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.