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 edtech-privacy-assessmentgit 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/edtech-privacy-assessment)<a href="https://agentmods.dev/skills/mukul975/privacy-data-protection-skills/edtech-privacy-assessment"><img src="https://agentmods.dev/badge/skills/mukul975/privacy-data-protection-skills/edtech-privacy-assessment/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/edtech-privacy-assessment"><img src="https://agentmods.dev/badge/skills/mukul975/privacy-data-protection-skills/edtech-privacy-assessment.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 | $0.00077 | $0.03943 |
| Opus 5 | $0.00039 | $0.01972 |
| Sonnet 5 | $0.00015 | $0.00789 |
| Haiku 4.5 | $0.00008 | $0.00394 |
Grade A, and why
edtech-privacy-assessment 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 — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.
EdTech Privacy Assessment — Children's Data in Educational Technology
Overview
Educational technology (EdTech) platforms that process children's personal data operate at the intersection of multiple privacy frameworks. In the United States, COPPA's school exception (16 CFR 312.5(c)(4)) allows schools to provide consent on behalf of parents for the collection of children's data in educational contexts, but only for school-authorised educational purposes. The Family Educational Rights and Privacy Act (FERPA, 20 U.S.C. Section 1232g) governs education records maintained by educational agencies or institutions receiving federal funding. In the EU, GDPR applies with the heightened protections of Art. 8 (parental consent for children) and Recital 38 (specific protection for children). The UK AADC applies to EdTech services likely to be accessed by children. This skill provides a framework for conducting privacy assessments of EdTech platforms that navigate these overlapping requirements.
Regulatory Frameworks
COPPA School Exception — 16 CFR 312.5(c)(4)
COPPA permits an operator to collect personal information from a child for the use and benefit of the school, and for no other commercial purpose, without obtaining verifiable parental consent directly, when:
- The school has authorised the collection of personal information on behalf of the students
- The collection is solely for the school's use and benefit in the educational context
- The operator does not use the collected information for any commercial purpose unrelated to the educational context
- The operator does not disclose the information to non-school third parties
Critical Limitations:
- The school acts as an agent of the parent; the school does not have unlimited authority
- The school can only consent to the collection of information necessary for the school-authorised educational activity
- If the operator wants to use the data for commercial purposes (including advertising), the operator must obtain verifiable parental consent directly from the parent
- The FTC has stated that schools "should not be able to consent on behalf of the parent to the collection of information that is not needed for the educational purpose" (FTC COPPA FAQ J.2)
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 · 234 lines · 77 tokens per session scan A 7e8bdb7c996b
edtech-privacy-assessment 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 77 tokens to every session and 3,943 once invoked, about $0.0004 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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