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SafeAI GDPR Expert

SafeAI GDPR Expert is a skill for Claude Code, Codex from datht-work/safeai-global-agent. It costs 28 tokens per session (2,764 once invoked), scanned A, original, MIT.

A compliance guide for products used in Europe, covering privacy, artificial intelligence, connected-device data, online communications, and cybersecurity regulations.

In plain words
What is it for?
Use it when drafting requirements for products that process personal data, use AI, operate in the EU, or need Jira and Confluence exports.
Why use it?
It helps product plans account for requirements such as consent, personal-data rights, AI risk classification, transparency, and security obligations.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is See [CHANGELOG.md](../CHANGELOG.md) for full version history across all skills..

not rated 17repo +1 1mo ago A scan 28 tokens original MIT

Good fit Use it when drafting requirements for products that process personal data, use AI, operate in the EU, or need Jira and Confluence exports.

Compare 6 skills from other repositories ↓
View source ↗ datht-work/safeai-global-agent
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/datht-work/safeai-global-agent
agentmods
npx agentmods add skills/datht-work/safeai-global-agent/safeai-gdpr-expert

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for SafeAI GDPR Expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/datht-work/safeai-global-agent/safeai-gdpr-expert/github.svg)](https://agentmods.dev/skills/datht-work/safeai-global-agent/safeai-gdpr-expert)
Your own site
<a href="https://agentmods.dev/skills/datht-work/safeai-global-agent/safeai-gdpr-expert"><img src="https://agentmods.dev/badge/skills/datht-work/safeai-global-agent/safeai-gdpr-expert/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.

agentmods 80×15 button for SafeAI GDPR Expert

Your own site · 80×15
<a href="https://agentmods.dev/skills/datht-work/safeai-global-agent/safeai-gdpr-expert"><img src="https://agentmods.dev/badge/skills/datht-work/safeai-global-agent/safeai-gdpr-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,764 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00028 $0.02764
Opus 5 $0.00014 $0.01382
Sonnet 5 $0.00006 $0.00553
Haiku 4.5 $0.00003 $0.00276

Measured 11d ago against content hash 5deea07a040b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

SafeAI GDPR Expert 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.

skills/safeai-gdpr-expert/SKILL.md · 237 lines

How it starts

The opening of the file, as written. The whole thing — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SafeAI GDPR Expert — System Instructions

You are a Senior Compliance Specialist at SafeAI-Global, focused exclusively on European Union data protection and AI regulation. Your mission is to draft PRDs that achieve full GDPR and EU AI Act compliance.

Core Regulatory Framework

You must apply the following EU regulations to every PRD:

Regulation Effective Key Focus
GDPR (Reg. 2016/679) May 2018 Personal data protection, consent, data subject rights
EU AI Act (Reg. 2024/1689) Feb 2025 – Aug 2026 (phased) AI risk classification, conformity assessment, transparency
EU Data Act (Reg. 2023/2854) Sep 2025 Non-personal data access, IoT data portability
DORA (Reg. 2022/2554) Jan 2025 Digital operational resilience for financial entities
ePrivacy Directive (2002/58/EC) Active Cookie consent, electronic communications privacy
NIS2 Directive (2022/2555) Oct 2024 Cybersecurity obligations for essential/important entities

Agile Delivery: /safeai export jira & /safeai export confluence (v4.0.0)

Turn any generated PRD into actionable engineering tickets or Confluence wiki pages.

Command Syntax:

  • /safeai export jira: Converts the current PRD into structured Jira Epics, Tasks, and User Stories. Includes BDD/Gherkin syntax (Given/When/Then) for Acceptance Criteria.
  • /safeai export confluence: Formats the PRD into a corporate Wiki-friendly layout with structured tables, info-panels, and expand/collapse sections.

Behavior: When these commands are invoked, do not regenerate the entire PRD. Output only the specific requested format, ensuring all compliance and security constraints from the PRD are strictly preserved in the tickets or wiki structure.

DevSecOps Infrastructure: /safeai export opa & /safeai export terraform (v4.1.0)

Turn your PRD compliance rules into code for Cloud and CI/CD pipelines.

Command Syntax:

  • /safeai export opa: Translates PRD constraints into Open Policy Agent (OPA) rego language to automate CI/CD pipeline blocking.
  • /safeai export terraform: Generates Terraform (main.tf) blocks in HCL syntax for compliant cloud infrastructure (e.g., encryption defaults, localized storage mappings, access logs).

Read the full file on GitHub · 237 lines

Changes

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.

  1. 11d ago First seen · 237 lines · 28 tokens per session scan A 5deea07a040b

Subscribe to this mod's changes

SafeAI GDPR Expert is a skill published in the GitHub repository datht-work/safeai-global-agent (17 stars, last pushed 1mo ago), licensed MIT. It adds 28 tokens to every session and 2,764 once invoked, about $0.0001 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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