Install any skill in seconds. Free to start, no credit card required.
Get Started Free →Determines the organization's role (provider, deployer, importer, distributor, or quasi-provider) and assesses Art. 25 quasi-provider risk of the EU AI Act. This skill should be used when the user asks to "determine AI Act roles", "check if we are provider or deployer", "assess quasi-provider status", "check Art. 25 substantial modification", "check value chain responsibilities", or mentions "Betreiber", "Anbieter", "wesentliche Veränderung", or finetuning implications under the AI Act.
.claude/skills/lawve-ai-eu-ai-act-roles-oliver-schmidt-prietz/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-03 | ✗→✓ | ▲ Improved | 86% | 0% |
| case-18 | ✗→✓ | ▲ Improved | 279% | 0% |
| case-06 | ✓→✗ | ▼ Worse | 259% | 0% |
| case-10 | ✓→✗ | ▼ Worse | 346% | 0% |
| case-21 | ✓→✗ | ▼ Worse | 106% | 0% |
Determine the organization's role under the AI Act (Regulation (EU) 2024/1689) — provider (Anbieter), deployer (Betreiber), importer, distributor, or quasi-provider — and assess Art. 25 quasi-provider risk.
> Important: This skill provides structured AI Act role-determination guidance based on Regulation (EU) 2024/1689 and Commission value chain guidance. It is not legal advice. Final role determinations should involve qualified legal counsel with AI Act expertise.
On activation — search for:
EU AI Act Commission guidance provider deployer roles value chain [current year]
EU AI Act Art. 25 substantial modification guidance latestFor finetuning assessment — search for:
EU AI Act finetuning substantial modification technical standards [current year]
EU AI Act open source model modification provider statusFor value chain obligations — search for:
EU AI Act provider deployer responsibility allocation guidance [current year]
EU AI Act Art. 25(2) original provider support duty interpretationPrior Assessment Context (optional): > "If you have previously run another EU AI Act skill, you may paste the Assessment Context block here. This pre-fills several fields and avoids redundant input."
If context is provided, pre-populate applicable fields and skip to confirmation. If any field conflicts with user answers, flag the inconsistency.
Batch 1 — Open-ended question (single prompt):
> "Let's determine your organization's role under the EU AI Act." > > You can answer in your own words — a short paragraph or bullet points. I'll ask follow-up questions only if needed. > > Describe your organization's relationship to this AI system: how you obtained it, what you do with it, whether you've modified it, and how it reaches users.
Coverage Analysis (internal — do not show this table to the user):
After the user responds, silently extract these 4 fields from their natural-language answer:
| # | Field | Normalized values | |---|-------|------------------| | 1 | System acquisition | Self-developed · Commissioned · Purchased/licensed · Open-source · Third-party component | | 2 | Organizational relationship | Developing for others · Deploying under own authority · Distributing · Importing · Integrating · Multiple | | 3 | Market status | Already on EU market · First placement · First deployment · Already deployed | | 4 | Modifications | None · Configuration · Finetuning/retraining · Changed purpose · Own brand · Substantial modification |
Apply generous extraction — e.g., "bought from US vendor" covers System acquisition (Purchased/licensed) + Market status (First placement) + potential Importer dimension. "We finetuned it and sell it under our brand" covers Modifications (Finetuning/retraining + Own brand) + Organizational relationship (Developing for others / Distributing).
Batch 2 — Adaptive follow-up (only if needed):
Information Normalization (internal):
Before proceeding to Phase 2, normalize all extracted information into the 4 structured fields above. If a field remains unclear after Batch 2, mark it as [UNCLEAR — proceeding with cautious assumptions] and note which assumption was made.
Read references/role-definitions.md for full legal definitions.
Apply the decision tree through Art. 3(3)-(7):
ROLE DETERMINATION DECISION TREE
System acquisition + Organizational relationship → Role mapping:
Develops or commissions development + places on market/puts into service
under own name/trademark?
└─ YES → PROVIDER (Anbieter) — Art. 3(3)
Uses AI system under own authority in professional capacity?
└─ YES → DEPLOYER (Betreiber) — Art. 3(4)
Imports AI system from third country to place on EU market?
└─ YES → IMPORTER (Einführer) — Art. 3(6)
Makes AI system available on EU market (not as provider/importer)?
└─ YES → DISTRIBUTOR (Händler) — Art. 3(7)
Integrates AI system into product as manufacturer?
└─ YES → Product manufacturer — Art. 25(3), treated as PROVIDERMultiple roles: An organization can hold multiple roles simultaneously (e.g., provider of one system and deployer of another). Assess each system separately.
Output after primary role determination:
> "Based on your answers, your primary role appears to be Role] under Art. 3(X]) AI Act. > Brief reasoning based on answers]"
┌──────────────────────────────┐
│ Did your org DEVELOP or │
│ COMMISSION the AI system? │
└──────────────┬───────────────┘
│
┌── YES ─────────┼─────────── NO ──┐
│ │
▼ ▼
┌──────────────────┐ ┌──────────────────────┐
│ Place on market / │ │ How does your org │
│ put into service │ │ interact with the │
│ under OWN name? │ │ system? │
└────────┬─────────┘ └──────────┬───────────┘
│ │
YES ───┤ ┌──────────────┼──────────────┐
▼ │ │ │
┌────────────────┐ Uses under Imports from Makes available
│ PROVIDER │ own authority non-EU to EU on EU market
│ (Anbieter) │ │ │ │
│ Art. 3(3) │ ▼ ▼ ▼
└────────────────┘ ┌──────────┐ ┌──────────┐ ┌──────────┐
│ DEPLOYER │ │ IMPORTER │ │DISTRIBUTOR│
│(Betreiber)│ │(Einfuehrer)│ │(Haendler)│
│ Art. 3(4)│ │ Art. 3(6)│ │ Art. 3(7)│
└──────────┘ └──────────┘ └──────────┘
Note: Product manufacturers integrating AI → Art. 25(3) → PROVIDERFor sector-specific role determination nuances, see references/sector-guidance-crossref.md. For worked role determination examples, see references/case-studies.md.
Only proceed with this phase if:
Read references/quasi-provider-scenarios.md and references/substantial-modification.md.
> "I will now assess whether your organization could be treated as a new provider under Art. 25 ('quasi-provider'). This applies when certain modifications or actions cause a deployer, distributor, or importer to assume provider obligations."
Scenario 1 — Own Name/Brand — Art. 25(1)(a): > "Have you put your own name, trademark, or brand on the AI system, or do you present it to end users under your own branding?"
If YES → quasi-provider under Art. 25(1)(a). Organization assumes full provider obligations.
Scenario 2 — Substantial Modification — Art. 25(1)(b): > "Have you made a substantial modification (wesentliche Veränderung) to the AI system?"
Read references/substantial-modification.md for the 3-step checklist.
Apply the 3-step determination:
Step 1: Identify the change > "What specific changes were made to the AI system? (technical parameters, data, architecture, deployment context)"
Step 2: Assess foreseeability > "Were these changes foreseen or covered in the original provider's conformity assessment or intended purpose documentation?"
Step 3: Evaluate risk impact > "Did the changes affect compliance with requirements in Chapter III, Section 2 (Art. 8-15), or did they alter the system's risk profile?"
If finetuning is involved → apply graduated assessment from references/finetuning-assessment.md:
| Finetuning Level | Risk of Substantial Modification | |------------------|----------------------------------| | PEFT/Adapter (LoRA, QLoRA) | Low — typically does not constitute substantial modification | | Layer-wise finetuning | Medium — may constitute substantial modification depending on scope | | Full model retraining | High — likely constitutes substantial modification |
Scenario 3 — Changed Intended Purpose — Art. 25(1)(c): > "Have you changed the intended purpose (Zweckbestimmung) of the AI system from what the original provider specified?"
If YES → quasi-provider under Art. 25(1)(c). A change of intended purpose always triggers provider status for the entity that changed the purpose.
Scenarios 4-5 — Product Manufacturer Integration — Art. 25(3)(a-b): > "Are you a product manufacturer who:" > - "(a) places on the market or puts into service a high-risk AI system together with your product under your own name or trademark?" > - "(b) puts into service a high-risk AI system bearing your name or trademark after it has already been placed on the market?"
If YES to either → provider obligations apply to the product manufacturer.
Art. 25(4) Exception: > "Were the changes you made already foreseen and covered in the original provider's conformity assessment?"
If YES → Art. 25(4) applies — the original conformity assessment remains valid, and Art. 25(1)(b) does not trigger quasi-provider status.
┌──────────────────────────────────┐
│ Is the system HIGH-RISK and │
│ obtained from another provider? │
└───────────────┬──────────────────┘
│
NO ────────────┼──────────── YES
│ │
▼ ▼
┌─────────────────┐ ┌──────────────────────────┐
│ Art. 25 does │ │ Check 3 triggers: │
│ not apply. │ └──────────┬───────────────┘
│ Stay in primary │ │
│ role. │ ┌─────────────┼─────────────┐
└─────────────────┘ │ │ │
▼ ▼ ▼
┌────────────┐ ┌────────────┐ ┌────────────┐
│ Own name/ │ │ Substantial│ │ Changed │
│ brand? │ │ modifica- │ │ intended │
│ Art.25(1a) │ │ tion? │ │ purpose? │
└─────┬──────┘ │ Art.25(1b) │ │ Art.25(1c) │
│ └─────┬──────┘ └─────┬──────┘
YES ─┤ YES ─┤ YES ─┤
│ │ │
│ ┌────▼─────┐ │
│ │Art. 25(4)│ │
│ │Foreseen? │ │
│ └────┬─────┘ │
│ YES ─┤── NO │
│ │ │ │
│ No quasi- │ │ │
│ provider │ │ │
│ │ │ │
▼ │ ▼ ▼
┌─────────────────────────────────────┐
│ QUASI-PROVIDER │
│ Full Art. 16 provider obligations │
│ New conformity assessment required │
└─────────────────────────────────────┘markdown## AI Act Role Determination ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Organization: [name] AI System: [name] Date: [date] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Primary Role: [Provider / Deployer / Importer / Distributor] Legal Basis: [Art. 3(x)] Quasi-Provider Risk: [None / Low / Medium / High] Art. 25 Scenario: [N/A / Scenario 1-5 with detail] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ANALYSIS SUMMARY: [2-3 sentence summary of role determination reasoning] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ FLAGS: [e.g., "Finetuning detected — layer-wise modification may trigger Art. 25(1)(b)"] [e.g., "Purpose change from manufacturer's intended use detected"] [e.g., "Own branding on third-party system — Art. 25(1)(a) quasi-provider"] [e.g., "Product manufacturer integration — Art. 25(3) applies"] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ RESPONSIBILITIES: Original provider support obligation: [Art. 25(2) — must provide technical docs and cooperation] New conformity assessment required: [Yes / No / Potentially] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ASSESSMENT CONTEXT (paste into next skill) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ System: [name] Classification: [from prior assessment or TBD] Basis: [from prior assessment or TBD] Role: [role] Quasi-Provider: [risk level] Sector: [sector] Jurisdiction: [list] Org Size: [size] Art. 50: [from prior assessment or TBD] GPAI: [from prior assessment or TBD] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ NEXT STEPS: → Map the applicable obligations to this role and risk tier → Generate formal assessment documentation → If quasi-provider risk is Medium/High: seek legal counsel for detailed Art. 25 analysis ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
This skill works on its own, but it's designed to interlock with my other EU AI Act skills — install any individually, or use them together for an end-to-end workflow:
Each is available as a separate skill — install only what you need.
Other measured skills in the registry, with their headline benchmark lift.