Agent skill

Eu AI Act Specialist

by alirezarezvani in alirezarezvani/claude-skills

EU AI Act (Regulation (EU) 2024/1689) operational compliance for compliance teams.

MITAuto-check passedLegal & Compliance

Install Eu AI Act Specialist

skills CLI
$ npx skills add alirezarezvani/claude-skills --skill eu-ai-act-specialist -a claude-code

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

GitHub CLI
$ gh skill install alirezarezvani/claude-skills eu-ai-act-specialist --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/alirezarezvani/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ra-qm-team/skills/eu-ai-act-specialist .claude/skills/eu-ai-act-specialist && 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-specialist
GitHub stars
28k
Token cost
~3.7k tokens
SKILL.md length
1,335 words
Files
8 (incl. scripts, references)
Skills in repo
342
Repo updated
First seen
Licence
MIT

At a glance

EU AI Act (Regulation (EU) 2024/1689) operational compliance for compliance teams.

  • Works in 3 steps: AI System Risk Classification → Conformity Assessment + Annex IV… → Per-Role Obligation Tracker
  • Tasks that involve AI governance
  • SKILL.md covers Keywords, Quick Start, Key Questions (ask these first) and Core Responsibilities, plus 4 more sections
  • Runs Python scripts from its folder; calls python

What it does

Eu AI Act Specialist is an agent skill from alirezarezvani/claude-skills. EU AI Act (Regulation (EU) 2024/1689) operational compliance for compliance teams. Three Article-level decisions: (1) What's the risk tier of this AI system — prohibited (Art. 5), high-risk (Art. 6 + Annex III), limited-risk (Art. 50), or minimal-risk? (2) For high-risk systems, what's the Article 43 conformity assessment route (Module A internal control vs Module H full QMS + notified body) and what goes in the Annex IV technical documentation? (3) Per organizational role (provider / deployer / importer /…

Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `references/cross_framework_mapping_ai_act.md`, `references/eu_ai_act_titles.md` and `references/gpai_obligations.md`).

It sits in Legal & Compliance, covering AI governance and Technical documentation. The repository describes itself as: 380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8… The licence is MIT.

When your agent uses it

  • Tasks that involve AI governance
  • Tasks that involve Technical documentation

Example prompts

  • “/eu-ai-act-specialist”

Requirements

  • Python 3

Workflow steps

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

  1. AI System Risk Classification
  2. Conformity Assessment + Annex IV Technical Documentation
  3. Per-Role Obligation Tracker

What it can do on your machine

Read from SKILL.md and the folder at commit 19392f7. 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

    Ships 3 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    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 Specialist loads about 3.7k tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 214 tokens; SKILL.md has 1,335 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~214
When it runs · the whole SKILL.md, loaded when a task matches
~3.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~13k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from alirezarezvani/claude-skills at commit 19392f7, republished under its MIT licence (© alirezarezvani). 1,335 words, ~3,733 tokens.

Download SKILL.mdSave it as .claude/skills/eu-ai-act-specialist/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
eu-ai-act-specialist
description
EU AI Act (Regulation (EU) 2024/1689) operational compliance for compliance teams. Three Article-level decisions: (1) What's the risk tier of this AI system — prohibited (Art. 5), high-risk (Art. 6 + Annex III), limited-risk (Art. 50), or minimal-risk? (2) For high-risk systems, what's the Article 43 conformity assessment route (Module A internal control vs Module H full QMS + notified body) and what goes in the Annex IV technical documentation? (3) Per organizational role (provider / deployer / importer / distributor / authorized representative), what are the active obligations and deadlines? Use during AI system intake review, when planning conformity assessment, or when scoping deployer obligations. Cites Articles + Annexes for every output. NOT executive AI strategy (see chief-ai-officer-advisor). NOT a legal substitute.
license
MIT
metadata.version
1.0.0
metadata.author
Alireza Rezvani
metadata.category
ra-qm-team
metadata.domain
eu-ai-act-compliance
metadata.updated
2026-05-13
metadata.python-tools
ai_system_risk_classifier.py, conformity_assessment_planner.py, ai_act_obligation_tracker.py
metadata.frameworks
eu-ai-act, gdpr-overlap, iso-42001-mapping, nist-ai-rmf-mapping

EU AI Act Compliance Specialist

Article-cited operational skill for Regulation (EU) 2024/1689. Three decisions, no executive AI strategy:

  1. What tier is this AI system? — prohibited (Article 5) / high-risk (Article 6 + Annex III) / limited-risk transparency (Article 50) / minimal-risk
  2. For high-risk systems, what's the conformity assessment route + documentation pack? — Article 43 Module A vs Module H + Annex IV technical documentation
  3. Per organizational role, what are the obligations? — provider / deployer / importer / distributor / authorized representative matrix per Article 16, 22, 25, 26

This skill is NOT chief-ai-officer-advisor. CAIO decides whether to ship the AI feature at all and accepts business risk. This skill operates the conformity work that turns "we'll ship it" into Article-compliant artefacts.

This skill is NOT a legal substitute. The Act is binding regulation. For novel cases (Is this a GPAI model? Does Article 6(2) carve-out apply? Is fine-tuning a foundation model "substantial modification"?), engage qualified outside counsel. The skill cites Articles + Annexes and uses Commission/EDPB published interpretation but does not provide binding legal opinion.

This skill is NOT GDPR. Many AI systems also trigger GDPR (training data, output processing). See ra-qm-team/skills/gdpr-dsgvo-expert/ for DPIA + lawful basis work. The Acts interact (Recital 10, Article 10 for high-risk training data).

Keywords

EU AI Act, EU AI Regulation, Regulation 2024/1689, AI Act, AI regulation Europe, high-risk AI, prohibited AI, Article 5 AI Act, Article 6 AI Act, Article 9 AI Act, Article 50 AI Act, Annex III, Annex IV, conformity assessment, CE marking AI, notified body AI, Module A, Module H, technical documentation AI, post-market monitoring AI, fundamental rights impact assessment, FRIA, GPAI, general-purpose AI model, systemic risk GPAI, AI Office, ENISA AI, EDPB AI, AI Act timeline, AI Act penalties, EU AI Act provider, EU AI Act deployer, EU AI Act importer, EU AI Act distributor, EU AI Act fines, AI literacy

Quick Start

bash
# Decision A: Classify an AI system per the Act
python scripts/ai_system_risk_classifier.py                       # embedded 5-system sample
python scripts/ai_system_risk_classifier.py path/to/systems.json

# Decision B: Conformity assessment plan for a high-risk system
python scripts/conformity_assessment_planner.py                   # embedded high-risk sample
python scripts/conformity_assessment_planner.py path/to/system.json

# Decision C: Obligation tracker per organizational role
python scripts/ai_act_obligation_tracker.py                       # embedded sample (provider + deployer)
python scripts/ai_act_obligation_tracker.py path/to/roles.json

Key Questions (ask these first)

  • Does this AI system fall under Article 5 (prohibited practices)? Social scoring, emotion recognition in workplace/education, manipulative subliminal techniques, real-time remote biometric identification in public — any of these are flat-out prohibited.
  • Does it fall under Annex III (high-risk categories)? 8 categories: biometrics, critical infrastructure, education, employment, essential services, law enforcement, migration, justice. Triggering Annex III triggers Article 6(2) — unless the Article 6(3) carve-outs apply.
  • What organizational role does the company play? Provider (placed on market), deployer (uses under own authority), importer (places third-country system on EU market), distributor (makes available in supply chain). Many companies are BOTH provider AND deployer simultaneously.
  • Is this a general-purpose AI model? GPAI has its own track (Articles 51–55) with stricter rules above 10²⁵ FLOPs training compute (Article 51 systemic risk).
  • For high-risk: have we run Article 9 risk management AND Article 27 FRIA? Article 9 is the lifecycle risk management; Article 27 is the Fundamental Rights Impact Assessment for public-sector deployers + essential services.
  • What's the conformity assessment Module per Article 43? Module A (internal control, possible for most Annex III systems) vs Module H (full QMS + notified body, required for biometrics + sometimes others).

Core Responsibilities

1. AI System Risk Classification

The framework: The Act takes a risk-based approach (Recital 26). Each AI system falls into exactly one of four tiers:

TierSourceExamplesObligations
ProhibitedArticle 5Social scoring; emotion recognition in workplace/education; subliminal manipulation; real-time public biometrics by law enforcement (with narrow exceptions)Cannot be placed on market or used (penalties up to EUR 35M / 7% turnover)
High-riskArticle 6 + Annex III; Article 6(1) + Annex ICV-screening, credit scoring, biometric categorisation, safety components of regulated productsArticles 8–17 (provider) + Article 26 (deployer); conformity assessment; CE marking
Limited-risk (transparency)Article 50Chatbots, deepfakes, emotion recognition outside Article 5 contextsTransparency disclosures to natural persons
Minimal-riskDefaultSpam filters, video-game AI, inventory forecastersNone under the Act (voluntary codes of conduct, Article 95)

Critical carve-outs (Article 6(3)): an Annex III system is NOT high-risk if it (a) performs a narrow procedural task, (b) improves the result of previously completed human activity, (c) detects decision-making patterns without replacing human assessment, (d) performs a preparatory task. Caveat: profiling of natural persons is always Annex III high-risk regardless of carve-outs.

Run ai_system_risk_classifier.py with system characteristics. The tool checks Article 5 prohibitions first, then Annex III categories, then Article 6(3) carve-outs, then Article 50 transparency, then minimal-risk default.

See references/eu_ai_act_titles.md for the full Article-by-Article walkthrough.

Show full SKILL.md (620 more words)Show less
2. Conformity Assessment + Annex IV Technical Documentation

The framework (Article 43 + Annex VI/VII): for high-risk AI systems, the provider must demonstrate conformity before placing on market. Two routes:

  • Module A — Internal control (Annex VI): provider self-assesses against the requirements. Applies to most Annex III systems where the provider has implemented harmonised standards.
  • Module H — Full quality management system + technical documentation (Annex VII): notified body involvement. Required for biometrics systems (Article 43(1)).

Required artifacts per Annex IV — Technical Documentation:

  1. General description of the AI system (intended purpose, identification, version)
  2. Detailed description of system elements (architecture, training data, validation procedures)
  3. Information about monitoring, functioning and control
  4. Description of risk management system (Article 9)
  5. Description of changes after placing on market
  6. List of harmonised standards applied (or alternative)
  7. EU declaration of conformity (Article 47)
  8. Description of the post-market monitoring system (Article 72)

Run conformity_assessment_planner.py to select the Module and produce the Annex IV checklist for a given high-risk system.

See references/high_risk_systems_annex_iii.md for which systems require which conformity route.

3. Per-Role Obligation Tracker

The framework (Articles 16, 22, 23, 24, 25, 26): the Act distinguishes provider obligations (most) from downstream-actor obligations (deployer, importer, distributor, authorized representative). A single company can play multiple roles simultaneously.

RolePrimary ArticlesKey obligations
Provider (Article 3(3))8–17, 47, 49, 72Conformity assessment; CE marking; risk management; data governance; technical documentation; post-market monitoring; serious incident reporting (Article 73)
Deployer (Article 3(4))26Use according to instructions; human oversight; input data quality; record-keeping (Article 19); inform workers (Article 26(7)); FRIA if public-sector/essential-services (Article 27)
Importer (Article 3(6))23Verify conformity; affixed CE marking; technical documentation availability
Distributor (Article 3(7))24Verify CE marking + documentation before making available
Authorized representative (Article 22)22Non-EU providers must appoint one; representative liable for provider obligations

Important: under Article 25, a deployer who substantially modifies a high-risk AI system, or places it on the market under their own name, becomes a provider and inherits provider obligations.

Run ai_act_obligation_tracker.py with the roles JSON to produce a deadline-sorted obligation matrix.

See references/gpai_obligations.md for the separate GPAI Articles 51–55 track.

Workflows

Workflow 1: AI System Intake Review (per system, ~2 hours)

Goal: classify, identify obligations, scope the conformity work.

bash
# 1. Document system characteristics: purpose, users, data, autonomy, deployment context
# 2. Run classifier
python scripts/ai_system_risk_classifier.py systems.json
# 3. If high-risk: run planner
python scripts/conformity_assessment_planner.py system.json
# 4. Identify org roles played (provider / deployer / both)
python scripts/ai_act_obligation_tracker.py roles.json
# 5. Cross-check with GDPR DPIA (gdpr-dsgvo-expert) if personal data
# 6. Cross-check with ISO 42001 AIMS evidence (compliance-team-iso42001)
# 7. Output: classification memo + conformity plan + obligation list
Workflow 2: Annex IV Technical Documentation Build (per high-risk system, 2–4 weeks)

Goal: assemble the Annex IV pack before conformity assessment.

bash
# 1. Run conformity assessment planner to get the checklist
python scripts/conformity_assessment_planner.py system.json
# 2. Assemble: system description, architecture, training data, validation, risk management
# 3. Reference ISO 42001 evidence where it satisfies Annex IV items
# 4. Reference ISO 27001 evidence for security controls
# 5. Run Article 9 risk management lifecycle
# 6. Sign EU declaration of conformity (Article 47) AFTER assessment passes
# 7. Affix CE marking (Article 48)
# 8. Register in EU database (Article 71) — high-risk Annex III systems
Workflow 3: Pre-Deployment Obligation Audit (per system, before launch)

Goal: confirm all active obligations are in place before EU placement.

bash
# 1. Confirm classification still correct (re-run classifier if system changed)
# 2. Confirm conformity assessment completed (if high-risk)
# 3. Confirm transparency requirements (Article 50) — for chatbots, deepfakes, emotion detection
# 4. Confirm post-market monitoring system (Article 72) is live
# 5. Confirm serious-incident reporting procedure (Article 73) is documented
# 6. For deployers: FRIA done (Article 27, if applicable); workers informed (Article 26(7))
# 7. For GPAI: Articles 51-55 obligations met if applicable
Workflow 4: Annual Compliance Refresh (per organization, yearly)

Goal: re-verify classifications + obligations as the Act phases in.

  1. List all AI systems on or planned for EU market
  2. Run classifier for each — Article 5 prohibited list may expand via delegated acts
  3. Run obligation tracker — deadlines shift as Title III phases in (2025 → 2026 → 2027)
  4. For each high-risk system: verify post-market monitoring data flow + serious incident reporting capacity
  5. Update Annex IV technical documentation per Article 11 ongoing requirement
  6. Pair with ISO 42001 management review (Clause 9.3) if both operate

Output Standards

**Bottom Line:** [one sentence — classification + most-significant obligation]
**Article Citation:** [Article + paragraph number; do not paraphrase without cite]
**The Decision:** [one of: classify | conformity-route | obligation-scope]
**The Evidence:** [Article + Annex references; classification confidence]
**How to Act:** [3 concrete next steps with owner + deadline aligned to phasing]
**Your Decision:** [the call for compliance officer or legal counsel — risk-class disputes, novel cases, GPAI threshold determinations]

Adjacent Skills

  • ra-qm-team/skills/gdpr-dsgvo-expert/ — GDPR DPIA + lawful basis (most AI systems also trigger GDPR)
  • ra-qm-team/compliance-team-iso42001/ — ISO 42001 AIMS (voluntary management system that satisfies parts of Article 17 QMS for providers)
  • ra-qm-team/skills/information-security-manager-iso27001/ — ISO 27001 for cybersecurity requirements (Article 15)
  • ra-qm-team/skills/risk-management-specialist/ — ISO 14971 risk management (referenced for safety-component AI under Article 6(1))
  • ra-qm-team/skills/mdr-745-specialist/ — MDR 2017/745 (medical-device AI overlap)
  • compliance-os/ — Meta-orchestrator for multi-framework programs
  • c-level-advisor/chief-ai-officer-advisor/ — Executive AI strategy

References


Version: 1.0.0 Status: Production Ready

© alirezarezvani, MIT. 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 7 other files (scripts, references) in ra-qm-team/skills/eu-ai-act-specialist of alirezarezvani/claude-skills.

  • SKILL.md
  • references/cross_framework_mapping_ai_act.md
  • references/eu_ai_act_titles.md
  • references/gpai_obligations.md
  • references/high_risk_systems_annex_iii.md
  • scripts/ai_act_obligation_tracker.py
  • scripts/ai_system_risk_classifier.py
  • scripts/conformity_assessment_planner.py

Open the folder on GitHubat commit 19392f7

Compare with similar skills

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Iso42001Sushegaad/Claude-Skills-Governance-Risk-and-Compliance9461 repos~3.7kAutomated safety check: PassMIT
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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

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Questions about Eu AI Act Specialist

What does Eu AI Act Specialist do?

EU AI Act (Regulation (EU) 2024/1689) operational compliance for compliance teams. Eu AI Act Specialist is an agent skill from alirezarezvani/claude-skills. EU AI Act (Regulation (EU) 2024/1689) operational compliance for compliance teams.

When should I use Eu AI Act Specialist?

Eu AI Act Specialist fits situations like: tasks that involve AI governance; tasks that involve Technical documentation.

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

Run `npx skills add alirezarezvani/claude-skills --skill eu-ai-act-specialist -a claude-code`. Or copy the skill folder (ra-qm-team/skills/eu-ai-act-specialist in alirezarezvani/claude-skills) into .claude/skills/eu-ai-act-specialist in your project. Claude Code loads it when a task matches its description.

How do I install Eu AI Act Specialist in Codex?

Run `npx skills add alirezarezvani/claude-skills --skill eu-ai-act-specialist -a codex`. Or copy the skill folder (ra-qm-team/skills/eu-ai-act-specialist in alirezarezvani/claude-skills) into .agents/skills/eu-ai-act-specialist in your project. Codex loads it when a task matches its description.

Can I use Eu AI Act Specialist 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 alirezarezvani/claude-skills --skill eu-ai-act-specialist -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-specialist, .gemini/skills/eu-ai-act-specialist, .github/skills/eu-ai-act-specialist and .opencode/skills/eu-ai-act-specialist in your project.

What does Eu AI Act Specialist need to run?

Going by SKILL.md and its folder, Eu AI Act Specialist needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Eu AI Act Specialist 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 Specialist 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Eu AI Act Specialist use?

Eu AI Act Specialist is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Eu AI Act Specialist use?

About 3.7k tokens (SKILL.md is roughly 15k 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 9.3k tokens, read only when the agent opens those files.

What are the alternatives to Eu AI Act Specialist?

Skills that share tags, products or a category with Eu AI Act Specialist: AI Act High Risk Docs (mukul975/Privacy-Data-Protection-Skills, 301 stars), Iso42001 (Sushegaad/Claude-Skills-Governance-Risk-and-Compliance, 946 stars), AI Risk Management (briiirussell/cybersecurity-skills, 413 stars) and EU AI Act System Inventory (anthropics/claude-for-legal, 9.6k 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 Specialist?

alirezarezvani (a GitHub user) maintains it in alirezarezvani/claude-skills, which has 27,938 GitHub stars. The repository holds 342 skills in this directory. The repository was last updated on August 30, 2026.

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