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 roedyrustam/vibes-plug --skill compliance-gdpr-privacy-expertgit clone --depth 1 https://github.com/roedyrustam/vibes-plugWrote 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/roedyrustam/vibes-plug/compliance-gdpr-privacy-expert)<a href="https://agentmods.dev/skills/roedyrustam/vibes-plug/compliance-gdpr-privacy-expert"><img src="https://agentmods.dev/badge/skills/roedyrustam/vibes-plug/compliance-gdpr-privacy-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.
<a href="https://agentmods.dev/skills/roedyrustam/vibes-plug/compliance-gdpr-privacy-expert"><img src="https://agentmods.dev/badge/skills/roedyrustam/vibes-plug/compliance-gdpr-privacy-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00056 | $0.01192 |
| Opus 5 | $0.00028 | $0.00596 |
| Sonnet 5 | $0.00011 | $0.00238 |
| Haiku 4.5 | $0.00006 | $0.00119 |
Grade A, and why
compliance-gdpr-privacy-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.
How it starts
The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Privacy & Compliance Expert
English
Description
A crucial guide for engineering teams building SaaS applications that handle PII (Personally Identifiable Information). Covers technical implementation patterns for privacy regulations like GDPR (Europe), CCPA (California), and PDPA/UU PDP (Indonesia), including data mapping, consent management, Right to be Forgotten (data erasure), and secure audit trails.
Trigger Conditions
- When architecting user database schemas that store PII (names, emails, phone numbers, IP addresses).
- When implementing cookie consent banners and tracking scripts.
- When the user asks about "GDPR compliance", "data retention", or "account deletion".
- When building admin dashboards that require secure audit logging.
Core Architectural Guidelines
1. Privacy by Design (Data Minimization)
Do not collect data you do not explicitly need.
- Hashing/Encryption: Hash sensitive data (like passwords) and encrypt PII at rest (AES-256) and in transit (TLS 1.3).
- IP Addresses: IP addresses are considered PII under GDPR. Anonymize IP logs (e.g., masking the last octet
192.168.1.0) if used for analytics.
2. The Right to be Forgotten (Soft vs Hard Deletion)
Users must be able to delete their accounts easily.
- Soft Deletion: Flagging a user as
deleted_at = NOW()is useful for immediate UI removal, but it is not compliant with GDPR erasure requests if the data stays indefinitely. - Hard Deletion / Scrubbing: You must implement a background worker that permanently deletes or fully anonymizes soft-deleted records after a grace period (e.g., 30 days).
3. Consent Management
- Cookies: Do not load analytical or marketing scripts (Google Analytics, Meta Pixel) until the user has explicitly clicked "Accept".
- Database: Store the timestamp and version of the Terms of Service/Privacy Policy the user agreed to during registration.
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 · 86 lines · 56 tokens per session scan A b7395508da1f
compliance-gdpr-privacy-expert is a skill published in the GitHub repository roedyrustam/vibes-plug (50 stars, last pushed yesterday), licensed MIT. It adds 56 tokens to every session and 1,192 once invoked, about $0.0003 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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