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 adriannoes/awesome-agentic-ai --skill implementing-gdpr-data-protection-controlsgit clone --depth 1 https://github.com/adriannoes/awesome-agentic-aiWrote 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/adriannoes/awesome-agentic-ai/implementing-gdpr-data-protection-controls)<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/implementing-gdpr-data-protection-controls"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/implementing-gdpr-data-protection-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/adriannoes/awesome-agentic-ai/implementing-gdpr-data-protection-controls"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/implementing-gdpr-data-protection-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 | $0.00052 | $0.01860 |
| Opus 5 | $0.00026 | $0.00930 |
| Sonnet 5 | $0.00010 | $0.00372 |
| Haiku 4.5 | $0.00005 | $0.00186 |
Grade A, and why
implementing-gdpr-data-protection-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 7d 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.
This is a copy
92% identical to implementing-gdpr-data-protection-controls — 32 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Implementing GDPR Data Protection Controls
Overview
The General Data Protection Regulation (EU) 2016/679 (GDPR) is the EU's comprehensive data protection law governing the collection, processing, storage, and transfer of personal data. This skill covers implementing the technical and organizational measures required by GDPR, including data protection by design and by default, Data Protection Impact Assessments (DPIAs), data subject rights management, breach notification procedures, and cross-border data transfer mechanisms.
When to Use
- When deploying or configuring implementing gdpr data protection controls capabilities in your environment
- When establishing security controls aligned to compliance requirements
- When building or improving security architecture for this domain
- When conducting security assessments that require this implementation
Prerequisites
- Understanding of EU data protection law and its territorial scope
- Knowledge of personal data processing activities within the organization
- Familiarity with data architecture, databases, and application systems
- Understanding of data flows including cross-border transfers
Core Concepts
Key GDPR Articles for Technical Controls
| Article | Requirement |
|---|---|
| Art. 5 | Principles: lawfulness, purpose limitation, data minimization, accuracy, storage limitation, integrity and confidentiality, accountability |
| Art. 6 | Lawful basis for processing (consent, contract, legal obligation, vital interests, public task, legitimate interest) |
| Art. 25 | Data protection by design and by default |
| Art. 28 | Processor obligations and contractual requirements |
| Art. 30 | Records of processing activities (ROPA) |
| Art. 32 | Security of processing (technical and organizational measures) |
| Art. 33 | Breach notification to supervisory authority (72 hours) |
| Art. 34 | Communication of breach to data subjects |
| Art. 35 | Data Protection Impact Assessment (DPIA) |
| Art. 37-39 | Data Protection Officer (DPO) appointment and role |
| Art. 44-49 | Cross-border data transfers (adequacy, SCCs, BCRs) |
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 7d ago First seen · 197 lines · 52 tokens per session scan A 0c74694af7cd
implementing-gdpr-data-protection-controls is a skill published in the GitHub repository adriannoes/awesome-agentic-ai (57 stars, last pushed 13d ago), licensed MIT. It adds 52 tokens to every session and 1,860 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to implementing-gdpr-data-protection-controls, differing in 32 lines, and is treated as a copy.
Other skills, from other repositories
implementing-gdpr-data-protection-controls
The General Data Protection Regulation (EU) 2016/679 (GDPR) is the EU's comprehensive data protection law governing the collection, processing, storage, and transfer of personal data. This skill cover.
implementing-gdpr-data-protection-controls
The General Data Protection Regulation (EU) 2016/679 (GDPR) is the EU's comprehensive data protection law governing the collection, processing, storage, and transfer of personal data. This skill cover.
gdpr-expert
Expert in GDPR compliance, data protection, privacy by design, consent management, DPO responsibilities, and EU data regulations. Use when the user mentions privacy, data protection, compliance, consent, a DPO, or eu regulation, or when the task involves GDPR Fundamentals, Key Principles, Data Subject Rights, or…
data-policy
Use when building internal data-governance machinery: a retention schedule (period, lawful basis, expiry action, system where deletion runs), an Art. 6 lawful-basis register, an Art. 30 ROPA, or a consent capture/withdrawal model. NOT the public privacy notice or DSAR handling (that is gdpr-privacy), NOT SOC 2 posture…
compliance
Use when scoping which regulatory frameworks bind a business — SOC 2, ISO 27001, HIPAA, PCI DSS, EU AI Act, DORA, NIS2 — building a control register with owners and evidence, or standing up the cadence that keeps it audit-ready. NOT drafting privacy-policy/ROPA/DPA or ToS text (that is gdpr-privacy, terms-conditions)…
gdpr-data-handling-note
Drafts a plain-language data handling notice for a journalistic or media production project that involves collecting, storing, or processing personal data — structured to meet GDPR transparency requirements while remaining understandable to non-lawyers.