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EU AI Act Risk Classification · lawve-ai | DecimalAI

legalby lawve-ai

EU AI Act Risk Classification

lawve-ai/eu-ai-act-classification

Source lawve-ai/awesome-legal-skills ↗License NOASSERTION

Classify an AI system under the EU AI Act (Regulation (EU) 2024/1689, KI-Verordnung) and determine compliance obligations. Walks Art. 3(1) AI system definition (7-criteria test), Art. 2 scope exclusions, Art. 5 prohibited practice screening, Annex I product safety, Annex III high-risk use cases (biometrics, critical infrastructure, education, employment, credit scoring, insurance, law enforcement, migration, justice), Art. 6(3) narrow procedural exception, Art. 51-56 GPAI with the 10^25 FLOP sys

SkillScore77Maintained

Automatic

Legal & Contracts pack

Last verified 8/16/2026

What it changes

Passed 17 of 22 test cases with the skill, and 11 of 22 without it.

Without skill50%

With skill77%

Checks it passed that the model alone missed

The response highlights Article 4 horizontal AI literacy training obligations.
The response explicitly includes horizontal AI literacy obligations under Article 4.
The response stops further risk gate processing after determining out-of-scope status in Step 1.

and 7 more in the full report

7 fixed10 passed either way4 still failing1 broke

Pass-rate lift: +27 pp
Tokens: +60%
Agent turns: 0%
Response time: +0%

Model gemini-3.6-flashMeasured 8/16/2026v1 · latest is v217 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

This benchmark measured an earlier version of the skill.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/lawve-ai-eu-ai-act-classification/SKILL.md https://app.decimal.ai/s/lawve-ai-eu-ai-act-classification/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add lawve-ai-eu-ai-act-classification, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/lawve-ai-eu-ai-act-classification/ and pins it in .decimal/skills.lock

decimalai skills add lawve-ai-eu-ai-act-classification

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/lawve-ai-eu-ai-act-classification/SKILL.md https://app.decimal.ai/s/lawve-ai-eu-ai-act-classification/SKILL.md

Raw file: /s/lawve-ai-eu-ai-act-classification/SKILL.md ↗ · machine-readable summary at /s/lawve-ai-eu-ai-act-classification.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 7

Prompt

We are developing an automated recruitment screening tool to analyze candidate resumes for job openings across our European offices. Could you conduct a regulatory classification for this software under EU AI Act Regulation 2024/1689? Please provide the complete reporting package, including a detailed classification memo citing relevant articles, a structured entry for our internal risk register, and a concise executive summary for board review.

What was checked, without and with the skill
Checked	Without skill	With skill
The output classifies the recruitment tool as high-risk under Annex III.	Passed	Passed
The response asks targeted follow-up questions from the Quick Question Set to address incomplete facts.	Missed	Passed
The response explicitly includes horizontal AI literacy obligations under Article 4.	Missed	Passed

case-01 · gemini-3.6-flash · 8/16/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md171 lines8 files

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):

Manipulation/deception causing significant harm
Exploitation of vulnerabilities (age, disability, socio-economic)
Social scoring with disproportionate/unrelated adverse treatment
Individual predictive policing based solely on profiling
Untargeted facial image scraping for recognition databases
Emotion recognition in workplace/education (narrow exceptions)
Biometric categorisation inferring sensitive characteristics
Real-time remote biometric identification in public spaces for law enforcement (narrow exceptions)
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)
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

Track record

Benchmark

17 / 22

test cases passed, vs 11 / 22 without

Adoption

Users: 1
Times used: 18

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v5 — 9/9/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

lawve-ai / awesome-legal-skills

skills/eu-ai-act-system-classifier-werner-plutat/SKILL.md

View on GitHub ↗

License NOASSERTIONImported 9/9/2026Version v2Bundled 7 files

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See it in action

What's inside

EU AI Act Risk Classification

Classification Workflow

Step 1 — Scope Check

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

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

Track record

Benchmark

Adoption

SkillSafety

Source

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