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 GoldenWing-360/claude-security-skills --skill gdpr-technical-controlsgit clone --depth 1 https://github.com/GoldenWing-360/claude-security-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/goldenwing-360/claude-security-skills/gdpr-technical-controls)<a href="https://agentmods.dev/skills/goldenwing-360/claude-security-skills/gdpr-technical-controls"><img src="https://agentmods.dev/badge/skills/goldenwing-360/claude-security-skills/gdpr-technical-controls/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/goldenwing-360/claude-security-skills/gdpr-technical-controls"><img src="https://agentmods.dev/badge/skills/goldenwing-360/claude-security-skills/gdpr-technical-controls.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 | $0.00081 | $0.02756 |
| Opus 5 | $0.00041 | $0.01378 |
| Sonnet 5 | $0.00016 | $0.00551 |
| Haiku 4.5 | $0.00008 | $0.00276 |
Grade A, and why
gdpr-technical-controls 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 11d 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 — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GDPR — Technical Controls
GDPR (and its UK / EEA siblings) is a legal framework with a heavy technical surface. This skill stays on the engineering side: what to build, what to log, what to expose, what to delete. For DACH-specific Impressum/AGB/AVV requirements, see dach-compliance. For data-protection legal questions, talk to a DPO.
The terms used here line up with the regulation but are paraphrased. When in doubt, the regulation text is the source of truth.
When to invoke
- Building or reviewing a product handling EU/EEA/UK resident data
- Responding to a Subject Access Request (SAR) or deletion request
- Preparing for a Datenschutz / DPA audit
- Adding a new third-party processor (analytics, support, email, AI, CDN)
- After a suspected personal-data breach
- A user asked "where is my data?"
Step 1 — Data inventory
You cannot protect data you cannot enumerate. Build and maintain a record of:
- What personal data fields you store (
users.email,orders.shipping_address.street, …) - Where each lives (Postgres table, S3 bucket, log file, third-party processor)
- Purpose of each (legal basis: consent / contract / legitimate interest / legal obligation)
- Retention period — when it should be deleted
- Who can access it (roles, audit log)
- Third parties (processors) receiving copies, and the lawful basis for each transfer
A reasonable starting format:
Field | Location | Purpose / basis | Retention | Processors
-------------------------|--------------------------|------------------------|-----------|-----------
user.email | postgres.users | account (contract) | until-deletion + 30d backup decay | Mailgun (transactional)
user.password_hash | postgres.users | auth (contract) | until-deletion | -
order.shipping_address | postgres.order_addresses | fulfillment (contract) | 10y (tax) | DHL (delivery)
user.ip | nginx access logs | abuse (legit interest) | 90d | -
user.session_cookie | redis, nginx logs | session (contract) | session+30d | -
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.
- 11d ago First seen · 216 lines · 81 tokens per session scan A 5a7095575c82
gdpr-technical-controls is a skill published in the GitHub repository GoldenWing-360/claude-security-skills (17 stars, last pushed 1mo ago), licensed MIT. It adds 81 tokens to every session and 2,756 once invoked, about $0.0004 per session on Opus 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 2026-08-30.
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