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 legit-interest-vs-consentgit 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/legit-interest-vs-consent)<a href="https://agentmods.dev/skills/mukul975/privacy-data-protection-skills/legit-interest-vs-consent"><img src="https://agentmods.dev/badge/skills/mukul975/privacy-data-protection-skills/legit-interest-vs-consent/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/legit-interest-vs-consent"><img src="https://agentmods.dev/badge/skills/mukul975/privacy-data-protection-skills/legit-interest-vs-consent.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 | $0.00064 | $0.02072 |
| Opus 5 | $0.00032 | $0.01036 |
| Sonnet 5 | $0.00013 | $0.00414 |
| Haiku 4.5 | $0.00006 | $0.00207 |
Grade A, and why
legit-interest-vs-consent 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 — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Assessing Legitimate Interest vs Consent
Overview
GDPR Article 6(1) provides six lawful bases for processing. Consent (Article 6(1)(a)) and legitimate interest (Article 6(1)(f)) are the two most commonly used bases for commercial data processing. Choosing the wrong basis creates compliance risk: relying on consent when it cannot be freely given undermines validity, while relying on legitimate interest when consent is required (e.g., for electronic marketing under the ePrivacy Directive) violates sectoral law.
Decision Framework: When to Use Each Basis
Use Consent When:
- Regulatory requirement: Specific legislation mandates consent (e.g., ePrivacy Directive Article 5(3) for non-essential cookies, Article 13 for unsolicited electronic marketing)
- Special category data: Processing sensitive data under Article 9(2)(a) requires explicit consent
- Automated decision-making: Processing under Article 22(2)(c) requires explicit consent
- International transfers: Article 49(1)(a) explicit consent for transfers without adequacy/safeguards
- User control priority: The processing is entirely optional and the data subject should have full control
Use Legitimate Interest When:
- Power imbalance exists: Consent cannot be freely given (employer-employee, public authority-citizen)
- Processing is necessary: The processing is necessary for the controller's or third party's legitimate interest and is proportionate
- Reasonable expectation: The data subject would reasonably expect the processing (Recital 47)
- Withdrawal would be problematic: If consent withdrawal would cause operational issues (e.g., fraud prevention)
- No specific consent requirement: No ePrivacy or sectoral law mandates consent
Power Imbalance Indicators
Per EDPB Guidelines 05/2020 (paragraphs 13-25) and Recital 43, consent is presumed not to be freely given when a clear imbalance exists:
| Indicator | Example | Implication |
|---|---|---|
| Employment relationship | Employer asks employee to consent to monitoring | Use LI or legal obligation, not consent |
| Public authority | Tax authority processes taxpayer data | Use legal obligation or public task |
| Service dependency | Only provider in market; user has no alternative | Consent may not be freely given |
| Contractual bundling | Consent required as condition of contract (Art. 7(4)) | Consent likely invalid |
| Vulnerable data subjects | Children, elderly, patients | Extra scrutiny; consent may not be free |
| Significant consequence | Refusing consent leads to job loss or service termination | Consent not freely given |
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 · 173 lines · 64 tokens per session scan A 7fd34d9c4ed5
legit-interest-vs-consent 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 64 tokens to every session and 2,072 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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