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 mukul975/Privacy-Data-Protection-Skills --skill ai-vendor-privacy-duegit clone --depth 1 https://github.com/mukul975/Privacy-Data-Protection-SkillsWrote 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/mukul975/privacy-data-protection-skills/ai-vendor-privacy-due)<a href="https://agentmods.dev/skills/mukul975/privacy-data-protection-skills/ai-vendor-privacy-due"><img src="https://agentmods.dev/badge/skills/mukul975/privacy-data-protection-skills/ai-vendor-privacy-due/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/mukul975/privacy-data-protection-skills/ai-vendor-privacy-due"><img src="https://agentmods.dev/badge/skills/mukul975/privacy-data-protection-skills/ai-vendor-privacy-due.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 | $0.00072 | $0.01956 |
| Opus 5 | $0.00036 | $0.00978 |
| Sonnet 5 | $0.00014 | $0.00391 |
| Haiku 4.5 | $0.00007 | $0.00196 |
Grade A, and why
ai-vendor-privacy-due 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 13d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- ai-vendor-privacy-due — 92% identical, 24 lines differ
How it starts
The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Vendor Privacy Due Diligence
Overview
AI services create complex controller-processor relationships that differ significantly from traditional data processing arrangements. Whether an AI vendor is a processor, joint controller, or independent controller depends on the degree of autonomy the vendor has over personal data processing — particularly regarding model training on customer data, data retention for model improvement, and the vendor's independent purposes for the data. This skill provides the framework for determining controller-processor roles in AI service relationships, conducting privacy due diligence on AI vendors, and establishing appropriate contractual protections.
Controller-Processor Determination for AI
Decision Framework
| AI Service Model | Typical Role | Key Factors | GDPR Article |
|---|---|---|---|
| SaaS AI — Customer data processed per instructions | Vendor = Processor | Vendor processes data solely on controller's instructions; no independent use | Art. 28 DPA required |
| SaaS AI — Customer data used for model training | Vendor = Joint Controller or Independent Controller | Vendor uses customer data for own model improvement beyond contracted service | Art. 26 JCA or separate controller notice |
| Embedded AI — Pre-trained model in customer infrastructure | Customer = Controller; Vendor = may be processor for support | Model runs in customer environment; vendor may access data for support/updates | Art. 28 if vendor accesses data |
| API-based AI — Customer sends data for inference | Vendor = Processor (if no data retention) or Joint Controller (if training on inputs) | Depends on whether vendor retains, uses, or trains on input data | Assessment required |
| AI Platform — Customer builds models on vendor platform | Vendor = Processor for infrastructure; Controller for platform data | Vendor provides compute; customer controls data and model | Art. 28 DPA + audit rights |
| AI Marketplace — Pre-built models with customer data | Depends on data flow | If customer data enters vendor model → joint controller assessment | Case-by-case |
What ships with it
4 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.
- 13d ago First seen · 168 lines · 72 tokens per session scan A 25626d529636
ai-vendor-privacy-due is a skill published in the GitHub repository mukul975/Privacy-Data-Protection-Skills (272 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 72 tokens to every session and 1,956 once invoked, about $0.0004 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.
Other skills, from other repositories
privacy-compliance
Comprehensive global privacy compliance agent skill covering GDPR, CCPA/CPRA, HIPAA Privacy Rule, EU AI Act, LGPD, cross-border data transfer mechanisms (SCCs, BCRs, EU-US DPF), PII identification and classification, data minimization, consent management, privacy-by-design patterns, DPIA workflows, data subject access…
fedramp
Expert guidance for FedRAMP certification and compliance under CR26 (FedRAMP Consolidated Rules for 2026). Use this skill whenever a user asks about FedRAMP authorization, ATO (Authority to Operate), cloud security for federal government, NIST SP 800-53 controls, CSP compliance, or any of the core FedRAMP document…
gdpr-compliance
Expert GDPR compliance assistant covering all four core workflows: (1) auditing code and systems for GDPR violations, (2) drafting GDPR-compliant documents such as privacy policies, Data Processing Agreements (DPAs), and consent notices, (3) answering GDPR compliance questions with authoritative article citations, and…
iso42001
Expert ISO 42001 AI Management System (AIMS) compliance advisor. Use this skill whenever a user asks about ISO/IEC 42001:2023, AI governance, AI management systems, AI risk assessment, AI system impact assessment, Annex A controls for AI, Statement of Applicability for AI systems, AI policy, responsible AI, AI…
eu-cra
Expert EU Cyber Resilience Act (CRA) advisor for Regulation (EU) 2024/2847 — mandatory cybersecurity and vulnerability handling requirements for all products with digital elements (PDEs) sold in the EU. Use this skill for gap analysis, product classification (Default / Class I / Class II), conformity assessment route…
nist-800-53
NIST SP 800-53 Rev 5 compliance advisor — all 20 control families (AC, AT, AU, CA, CM, CP, IA, IR, MA, MP, PE, PL, PM, PS, PT, RA, SA, SC, SI, SR), Low/Moderate/High baseline selection, FIPS 199/200 system categorization, control tailoring and overlays, privacy controls (PT family), supply chain risk management (SR…