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 cookie-consent-ab-auditgit 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/cookie-consent-ab-audit)<a href="https://agentmods.dev/skills/mukul975/privacy-data-protection-skills/cookie-consent-ab-audit"><img src="https://agentmods.dev/badge/skills/mukul975/privacy-data-protection-skills/cookie-consent-ab-audit/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/cookie-consent-ab-audit"><img src="https://agentmods.dev/badge/skills/mukul975/privacy-data-protection-skills/cookie-consent-ab-audit.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 | $0.00059 | $0.01820 |
| Opus 5.5 | $0.00024 | $0.00728 |
| Sonnet 5.5 | $0.00012 | $0.00364 |
| Haiku 4.5 | $0.00006 | $0.00182 |
Grade A, and why
cookie-consent-ab-audit 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 1mo 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 — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Auditing Cookie Consent A/B Testing
Overview
A/B testing consent banners is a common practice to optimize consent rates. However, when these experiments manipulate users into consenting through design asymmetry, deceptive patterns, or unequal ease of acceptance versus rejection, they violate GDPR Article 7 and ePrivacy Directive Article 5(3). The CNIL has been the most active enforcer, issuing a EUR 150 million fine to Google (January 2022) and a EUR 60 million fine to Meta (January 2022) specifically for consent banner design violations.
Regulatory Framework for Consent Banner Design
Equal Prominence Requirement
CNIL Deliberation No. 2020-091 (September 17, 2020) and EDPB Guidelines 05/2020 establish:
- Equal Visual Weight: The "Accept" and "Reject" options must have the same visual prominence — same size, same color treatment, same font, same position hierarchy.
- Equal Interaction Cost: Rejecting cookies must require the same number of clicks/steps as accepting.
- No Pre-Selection: No purposes or vendors may be pre-selected.
- No Cookie Walls: Access to content must not be conditioned on cookie acceptance.
- Neutral Language: Neither option should use encouraging or discouraging language asymmetrically.
Key Enforcement Actions
| Authority | Target | Fine | Date | Key Finding |
|---|---|---|---|---|
| CNIL | Google LLC | EUR 150,000,000 | January 6, 2022 | google.fr: accepting cookies required 1 click; rejecting required multiple clicks through secondary menu |
| CNIL | Meta Platforms Ireland | EUR 60,000,000 | January 6, 2022 | facebook.com: "Accept Cookies" button prominently displayed; "Refuse" buried in secondary layer |
| CNIL | Microsoft Ireland | EUR 60,000,000 | December 22, 2022 | bing.com: "Accept" button displayed without equally visible "Refuse" |
| CNIL | TikTok | EUR 5,000,000 | December 29, 2022 | tiktok.com: rejecting cookies more complex than accepting; insufficient information |
| Italian Garante | Clearview AI | EUR 20,000,000 | March 9, 2022 | No valid consent mechanism for biometric data processing |
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.
- 1mo ago First seen · 159 lines · 59 tokens per session scan A 31637b0f8b51
cookie-consent-ab-audit is a skill published in the GitHub repository mukul975/Privacy-Data-Protection-Skills (321 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 59 tokens to every session and 1,820 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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