Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add vaquarkhan/compliance-agent-skills --skill gdpr-us-multinationalgit clone --depth 1 https://github.com/vaquarkhan/compliance-agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/vaquarkhan/compliance-agent-skills/gdpr-us-multinational)<a href="https://agentmods.dev/skills/vaquarkhan/compliance-agent-skills/gdpr-us-multinational"><img src="https://agentmods.dev/badge/skills/vaquarkhan/compliance-agent-skills/gdpr-us-multinational/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/vaquarkhan/compliance-agent-skills/gdpr-us-multinational"><img src="https://agentmods.dev/badge/skills/vaquarkhan/compliance-agent-skills/gdpr-us-multinational.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00189 | $0.02470 |
| Opus 5.5 | $0.00076 | $0.00988 |
| Sonnet 5.5 | $0.00038 | $0.00494 |
| Haiku 4.5 | $0.00019 | $0.00247 |
Grade A, and why
gdpr-us-multinational scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GDPR for US Multinationals
Overview
General Data Protection Regulation (EU) 2016/679 applies to US companies when they offer goods/services to EU/EEA data subjects or monitor their behavior—regardless of US headquarters. Agent/LLM systems processing EU user prompts, support chat, or analytics fall in scope.
| GDPR topic | Article | US multinational focus |
|---|---|---|
| Principles | Art. 5 | Lawfulness, minimization, storage limitation for agent logs |
| Lawful basis | Art. 6 | Consent vs legitimate interest for AI features |
| Special categories | Art. 9 | Health, biometric in prompts—explicit consent or Art. 9(2) exception |
| Records of processing | Art. 30 | RoPA must list LLM/MCP subprocessors and transfers |
| Security | Art. 32 | Encryption, redaction gate, MCP access controls |
| Breach notification | Art. 33-34 | 72 hours to supervisory authority; data subject notice if high risk |
| DPIA | Art. 35 | Required for systematic profiling, large-scale special categories |
| Transfers | Art. 44-49 | SCCs, DPF, or adequacy for US LLM processing |
| DPO | Art. 37-39 | Required for large-scale special category or systematic monitoring |
| Rights | Art. 15-22 | Access, erasure, portability—LLM vendor deletion complexity |
Transfer mechanisms (2024+):
- EU-US Data Privacy Framework (DPF) — US entities self-certify; verify LLM vendor DPF status
- Standard Contractual Clauses (2021 SCCs) — Module 2 controller-processor for LLM vendors
- UK IDTA / Addendum — if UK data subjects included
Reference: references/gdpr-article-checklist.md, template templates/gdpr-ropa-template.yaml
When to Use
Use this skill when:
- US company processes EU/EEA (or UK) residents' personal data in products or agents
- Assessing cross-border transfers to US-based LLM APIs (OpenAI, Anthropic, etc.)
- Building Article 30 RoPA including agent/MCP processing activities
- DPIA for agent profiling, automated decisions, or health-related prompts
- 72-hour breach notification to lead supervisory authority (cross-border one-stop-shop)
- Drafting DPA/SCCs with LLM and MCP subprocessors
- DPO consultation on high-risk AI agent deployment in EU market
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 180 lines · 189 tokens per session scan A ef33c39b2358
gdpr-us-multinational is a skill published in the GitHub repository vaquarkhan/compliance-agent-skills (4 stars, last pushed 2mo ago), licensed MIT. It adds 189 tokens to every session and 2,470 once invoked, about $0.0008 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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