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 | $0.01804 |
| Opus 5.5 | $0.00022 | $0.00722 |
| Sonnet 5.5 | $0.00011 | $0.00361 |
| Haiku 4.5 | $0.00006 | $0.00180 |
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 5d 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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Privacy & Compliance Expert (GDPR, CCPA & UU PDP 2026)
English
Orchestration & Integration
- Database & Data Retention:
database-orm-expert,saas-multi-tenant,saas-billing - Identity & Access Revocation:
authentication-identity-expert,zero-trust-secret-vault - Logging & Error Redaction:
logging-error-tracking-expert,data-telemetry-expert - Security & Red Teaming:
autonomous-red-teamer,prompt-injection-firewall,rate-limit-abuse-prevention - Lifecycle & Governance:
production-ready-hardener,brainstorming,zero-to-prod-orchestrator,session-memory-manager
Description
Production engineering guide for regulatory data privacy and compliance across GDPR (EU), CCPA/CPRA (California), and UU PDP No. 27/2022 (Indonesia). Covers technical patterns for PII (Personally Identifiable Information) encryption at rest, cascading data anonymization (Right to be Forgotten while retaining immutable financial ledgers for tax authorities), consent state machines, and automated logger redaction.
Trigger Conditions
- Storing customer PII (names, emails, physical addresses, phone numbers, IP addresses, national IDs).
- Implementing compliant cookie consent banners with opt-in tracking scripts.
- Handling data deletion and export requests (Right to Access and Right to be Forgotten).
- Sanitizing logging pipelines to prevent accidental PII leakage to Datadog, Axiom, or Sentry.
Cascading PII Anonymization Routine (TypeScript / PostgreSQL)
Erases personal identity while preserving aggregate transaction integrity for accounting compliance:
// src/services/privacy-compliance.ts
import { db } from '@/lib/db';
import { sql } from 'drizzle-orm';
import crypto from 'node:crypto';
export async function processRightToBeForgotten(userId: string): Promise<void> {
await db.transaction(async (tx) => {
// 1. Generate irreversible cryptographic pseudo-identifier
const pseudoHash = crypto.createHash('sha256').update(`${userId}-${process.env.PEPPER_SECRET}`).digest('hex').slice(0, 16);
const anonymizedEmail = `deleted-${pseudoHash}@anonymized.internal`;
// 2. Anonymize user record: scrub sensitive fields
await tx.execute(sql`
UPDATE users
SET
name = 'Anonymized Customer',
email = ${anonymizedEmail},
phone_number = NULL,
billing_address = NULL,
ip_address = '0.0.0.0',
is_anonymized = TRUE,
anonymized_at = NOW()
WHERE id = ${userId}
`);
// 3. Scrub profile sessions and third-party provider tokens
await tx.execute(sql`DELETE FROM user_sessions WHERE user_id = ${userId}`);
await tx.execute(sql`DELETE FROM oauth_accounts WHERE user_id = ${userId}`);
// 4. Log compliance audit trail (immutable record of the erasure action)
await tx.execute(sql`
INSERT INTO privacy_audit_logs (id, action, target_pseudo_id, executed_at)
VALUES (gen_random_uuid(), 'RIGHT_TO_BE_FORGOTTEN_EXECUTED', ${pseudoHash}, NOW())
`);
});
}
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.
- 5d ago Changed · -1 lines e535678bb149
- 6d ago Changed · +1 lines 3474e4ca8b62
- 9d ago Changed · +61 lines 3561a979fa31
- 18d ago Changed 3f55708593b8
- 23d ago Changed 5013604f73cc
- 24d ago Changed d1753a0a9a20
- 26d ago Changed · -6 lines · +38 tokens per session 44ce7e49e9bb
- 28d ago Changed · +6 lines · -38 tokens per session 4c701f93f909
- 1mo ago Changed d09a8267b310
- 1mo ago First seen · 86 lines · 56 tokens per session scan A a69ba4821fb6
compliance-gdpr-privacy-expert is a skill published in the GitHub repository roedyrustam/vibes-plug (114 stars, last pushed yesterday), licensed MIT. It adds 56 tokens to every session and 1,804 once invoked, about $0.0002 per session on Opus 5.5. 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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