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-withdrawalgit 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-withdrawal)<a href="https://agentmods.dev/skills/mukul975/privacy-data-protection-skills/consent-withdrawal"><img src="https://agentmods.dev/badge/skills/mukul975/privacy-data-protection-skills/consent-withdrawal/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-withdrawal"><img src="https://agentmods.dev/badge/skills/mukul975/privacy-data-protection-skills/consent-withdrawal.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 | $0.00060 | $0.02054 |
| Opus 5 | $0.00030 | $0.01027 |
| Sonnet 5 | $0.00012 | $0.00411 |
| Haiku 4.5 | $0.00006 | $0.00205 |
Grade A, and why
consent-withdrawal 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.
How it starts
The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Implementing Consent Withdrawal
Overview
GDPR Article 7(3) states: "The data subject shall have the right to withdraw his or her consent at any time. The withdrawal of consent shall not affect the lawfulness of processing based on consent before its withdrawal. Prior to giving consent, the data subject shall be informed thereof. It shall be as easy to withdraw consent as to give it."
The "equal ease" requirement is the most technically demanding aspect. If consent was given with a single checkbox tick during sign-up, withdrawal must be achievable with a comparable level of effort — not buried behind multiple navigation layers, settings pages, or dark patterns.
Equal Ease Analysis
Measuring Consent Complexity
Quantify the effort required to give consent and ensure withdrawal meets or exceeds this standard:
| Metric | How to Measure | Target |
|---|---|---|
| Click Count | Number of clicks/taps from entry point to completion | Withdrawal clicks <= consent clicks |
| Page Navigations | Number of page loads between start and completion | Withdrawal pages <= consent pages |
| Form Fields | Number of inputs required | Withdrawal fields <= consent fields |
| Time to Complete | Measured in usability testing | Withdrawal time <= consent time |
| Cognitive Load | Comprehension difficulty of instructions | Withdrawal instructions equally clear |
| Accessibility | Steps required with keyboard-only navigation | Equal keyboard accessibility |
CloudVault SaaS Inc. Compliance Analysis
| Action | Method | Click Count | Pages | Fields |
|---|---|---|---|---|
| Give consent (sign-up) | Unticked checkbox tick | 1 click | Same page | 0 |
| Withdraw consent (preference center) | Toggle switch off + confirm | 2 clicks | 1 page | 0 |
| Withdraw consent (email unsubscribe) | Unsubscribe link click | 1 click | 1 page | 0 |
The preference center withdrawal requires one additional click (confirmation dialog). This is acceptable because it protects against accidental withdrawal, and the EDPB acknowledges that a confirmation step does not violate equal ease (Guidelines 05/2020, paragraph 116).
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.
- 12d ago First seen · 175 lines · 60 tokens per session scan A dc5f01227b7f
consent-withdrawal 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 60 tokens to every session and 2,054 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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