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-platform-evalgit 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-platform-eval)<a href="https://agentmods.dev/skills/mukul975/privacy-data-protection-skills/consent-platform-eval"><img src="https://agentmods.dev/badge/skills/mukul975/privacy-data-protection-skills/consent-platform-eval/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-platform-eval"><img src="https://agentmods.dev/badge/skills/mukul975/privacy-data-protection-skills/consent-platform-eval.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 | $0.00066 | $0.02119 |
| Opus 5 | $0.00033 | $0.01059 |
| Sonnet 5 | $0.00013 | $0.00424 |
| Haiku 4.5 | $0.00007 | $0.00212 |
Grade A, and why
consent-platform-eval 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:
- consent-platform-eval — 89% identical, 20 lines differ
How it starts
The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Evaluating Consent Management Platforms
Overview
A Consent Management Platform (CMP) is the technology layer that handles cookie consent collection, preference management, consent record storage, and signal propagation to downstream systems. Selecting the right CMP is critical for compliance with GDPR, ePrivacy, CCPA/CPRA, LGPD, and other regulations. The IAB Transparency and Consent Framework (TCF) v2.2 certification is a key differentiator for CMPs operating in the EU advertising ecosystem.
Evaluation Criteria
Category 1: Regulatory Compliance (Weight: 30%)
| Criterion | Description | Scoring |
|---|---|---|
| TCF v2.2 Certification | CMP is registered with IAB Europe and passes compliance audits | Required for EU advertising |
| GDPR Compliance | Supports Art. 7 consent requirements, Art. 7(3) withdrawal, Art. 7(1) records | Mandatory for EU operations |
| CCPA/CPRA Support | Supports "Do Not Sell" opt-out, GPC signal detection, CPRA requirements | Required for US operations |
| LGPD Support | Brazilian data protection law consent requirements | Required for Brazil operations |
| GPC Support | Detects and honors Global Privacy Control (Sec-GPC: 1) signal | Required for CA, CO, CT, MT, TX, OR |
| CNIL Compliance | Equal prominence accept/reject, 6-month reconsent, no cookie walls | Required for French operations |
| Multi-Jurisdiction | Ability to apply different consent rules based on user location | Critical for global operations |
| Cookie Scanning | Automated scanning to detect and classify all cookies on the site | Important for completeness |
Category 2: Technical Capabilities (Weight: 25%)
| Criterion | Description | Scoring |
|---|---|---|
| API Integration | RESTful API for consent state queries from backend systems | Critical for server-side enforcement |
| Tag Manager Integration | Native integration with Google Tag Manager, Tealium, Segment | Reduces implementation effort |
| SDK Availability | Mobile SDKs (iOS, Android) and server-side SDKs | Required for mobile apps |
| Performance | Page load impact (target: <100ms additional latency) | Critical for UX |
| Customization | UI customization (colors, layout, language, button text) | Important for brand consistency |
| A/B Testing | Built-in consent banner experimentation (within compliance boundaries) | Important for optimization |
| Geolocation | Accurate user location detection for jurisdiction-specific rules | Critical for multi-region |
| TC String Generation | Generates IAB TC String for ad tech ecosystem integration | Required for advertising |
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 · 163 lines · 66 tokens per session scan A c87e00435087
consent-platform-eval is a skill published in the GitHub repository mukul975/Privacy-Data-Protection-Skills (272 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 66 tokens to every session and 2,119 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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