dsgvo-ai-content-marketing

dsgvo-ai-content-marketing is a cursor rule for Cursor from wuemaikblume/dsgvo-skills. It costs 4,014 tokens per session, scanned A, original, no licence file.

A set of rules for code that creates or changes marketing emails using AI services such as OpenAI or Anthropic. DSGVO is the German name for the EU General Data Protection Regulation, a privacy law.

In plain words
What is it for?
Use it when building or changing features that generate marketing-email text through an AI or large-language-model API.
Why use it?
It prompts privacy checks when AI-generated marketing-email content is part of the code, even when the request does not mention privacy.

Cursor rule for Cursor

Written for Cursor: a Cursor rule (.mdc).

Good fit Use it when building or changing features that generate marketing-email text through an AI or large-language-model API.

Compare 6 cursor rules from other repositories ↓
Install with agentmods
npx agentmods add rules/wuemaikblume/dsgvo-skills/dsgvo-ai-content-marketing
Install

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.

Clone the repo
git clone --depth 1 https://github.com/wuemaikblume/dsgvo-skills

Made for: Cursor.

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 dsgvo-ai-content-marketing

README.md
[![agentmods](https://agentmods.dev/badge/rules/wuemaikblume/dsgvo-skills/dsgvo-ai-content-marketing/github.svg)](https://agentmods.dev/rules/wuemaikblume/dsgvo-skills/dsgvo-ai-content-marketing)
Your own site
<a href="https://agentmods.dev/rules/wuemaikblume/dsgvo-skills/dsgvo-ai-content-marketing"><img src="https://agentmods.dev/badge/rules/wuemaikblume/dsgvo-skills/dsgvo-ai-content-marketing/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 dsgvo-ai-content-marketing

Your own site · 80×15
<a href="https://agentmods.dev/rules/wuemaikblume/dsgvo-skills/dsgvo-ai-content-marketing"><img src="https://agentmods.dev/badge/rules/wuemaikblume/dsgvo-skills/dsgvo-ai-content-marketing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 4,014 This file is loaded in full into every session.
When invoked 4,014 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 $0.04014 $0.04014
Opus 5 $0.02007 $0.02007
Sonnet 5 $0.00803 $0.00803
Haiku 4.5 $0.00401 $0.00401

Measured 12d ago against content hash 04a9dca77dcc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

dsgvo-ai-content-marketing 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 12d 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.

cursor/rules/dsgvo-ai-content-marketing.mdc · 189 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 12d ago First seen · 189 lines · 4,014 tokens per session scan A 04a9dca77dcc

Subscribe to this mod's changes

dsgvo-ai-content-marketing is a cursor rule published in the GitHub repository wuemaikblume/dsgvo-skills (11 stars, last pushed 4mo ago), with no licence file. It adds 4,014 tokens to every session, about $0.0201 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.