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 consent-pref-centergit 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/consent-pref-center)<a href="https://agentmods.dev/skills/mukul975/privacy-data-protection-skills/consent-pref-center"><img src="https://agentmods.dev/badge/skills/mukul975/privacy-data-protection-skills/consent-pref-center/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/consent-pref-center"><img src="https://agentmods.dev/badge/skills/mukul975/privacy-data-protection-skills/consent-pref-center.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 | $0.00063 | $0.01975 |
| Opus 5 | $0.00032 | $0.00988 |
| Sonnet 5 | $0.00013 | $0.00395 |
| Haiku 4.5 | $0.00006 | $0.00198 |
Grade A, and why
consent-pref-center 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.
How it starts
The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Building a Consent Preference Center
Overview
A consent preference center is the centralized interface through which data subjects manage their consent choices across all processing purposes. Under GDPR Article 7(3), withdrawal of consent must be as easy as giving it, making a well-designed preference center critical for compliance. The IAB Europe Transparency and Consent Framework (TCF) v2.2 provides a standardized approach for advertising-related consent that integrates with this architecture.
Architecture Components
1. Data Model
The consent preference center requires four core data entities:
Consent Purpose Registry Stores all processing purposes for which consent is the lawful basis.
| Field | Type | Description |
|---|---|---|
| purpose_id | UUID | Unique identifier for the processing purpose |
| purpose_name | VARCHAR(256) | Human-readable purpose name |
| purpose_description | TEXT | Plain-language description (Flesch-Kincaid grade 8 or below) |
| legal_basis | ENUM | "consent" or "explicit_consent" |
| data_categories | JSONB | Array of personal data categories processed |
| recipients | JSONB | Array of named third-party recipients |
| retention_period | VARCHAR(128) | Data retention period for this purpose |
| tcf_purpose_id | INTEGER | Mapped IAB TCF v2.2 purpose ID (1-11) if applicable |
| is_active | BOOLEAN | Whether this purpose is currently offered |
| created_at | TIMESTAMP | When the purpose was registered |
| updated_at | TIMESTAMP | Last modification timestamp |
Consent Text Version Immutable records of consent text presented to users.
| Field | Type | Description |
|---|---|---|
| version_id | UUID | Unique version identifier |
| purpose_id | UUID | FK to purpose registry |
| consent_text | TEXT | Exact text displayed to the user |
| text_hash | CHAR(64) | SHA-256 hash of consent_text |
| effective_from | TIMESTAMP | When this version went live |
| effective_until | TIMESTAMP | When this version was superseded (NULL if current) |
| approved_by | VARCHAR(256) | Name of DPO or legal reviewer who approved |
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 · 191 lines · 63 tokens per session scan A 5d38854002fc
consent-pref-center 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 63 tokens to every session and 1,975 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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