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 vaquarkhan/compliance-agent-skills --skill ferpa-education-recordsgit clone --depth 1 https://github.com/vaquarkhan/compliance-agent-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/vaquarkhan/compliance-agent-skills/ferpa-education-records)<a href="https://agentmods.dev/skills/vaquarkhan/compliance-agent-skills/ferpa-education-records"><img src="https://agentmods.dev/badge/skills/vaquarkhan/compliance-agent-skills/ferpa-education-records/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/vaquarkhan/compliance-agent-skills/ferpa-education-records"><img src="https://agentmods.dev/badge/skills/vaquarkhan/compliance-agent-skills/ferpa-education-records.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 | $0.00162 | $0.01851 |
| Opus 5.5 | $0.00065 | $0.00740 |
| Sonnet 5.5 | $0.00032 | $0.00370 |
| Haiku 4.5 | $0.00016 | $0.00185 |
Grade A, and why
ferpa-education-records 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FERPA Education Records
Overview
The Family Educational Rights and Privacy Act (FERPA) protects education records—records directly related to a student maintained by an educational agency or institution (or party acting on its behalf).
| Concept | Regulation | Agent/EdTech relevance |
|---|---|---|
| Education record | 34 CFR §99.3 | Grades, discipline, IDs, biometrics, AI chat logs tied to student |
| Personally identifiable information (PII) | §99.3 | Name + student ID in agent prompts = FERPA PII |
| School official | §99.31(a)(1) | LLM vendor may be school official with DPA + LEA |
| Legitimate educational interest | §99.31(a)(1)(i) | Agent must have LEA-defined purpose |
| Directory information | §99.37 | Opt-out affects what agents may disclose |
| Parent/eligible student rights | §99.10–99.12 | Access, amend, consent to disclose |
| Recordation | §99.32 | Audit log of disclosures from agent systems |
HIPAA interaction: Most K-12 health records in education records are FERPA, not HIPAA (except school nurse as covered entity in narrow cases—legal review).
AI agents: Tutoring bots, grading assistants, and analytics pipelines that store prompts with student identity are high-risk FERPA systems.
When to Use
Use this skill when:
- EdTech SaaS or district deploys AI agents accessing student data
- Drafting Data Processing Agreements with LLM/MCP vendors as school officials
- Legitimate educational interest analysis for new agent features
- Parent consent or notification for directory information / disclosures
- Audit of agent logs, MCP Postgres, or Slack for improper redisclosure
- State student privacy laws overlay (SOPIPA, PPRA, state §)—FERPA is floor
Do not use this skill when:
- De-identified research datasets with no student IDs (may be outside FERPA—confirm)
- Pure COPPA consumer app not acting as school agent (use
coppa-children-privacy) - Employee (faculty) HR records (not education records)
- PCI payment for tuition without student academic data
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 · 141 lines · 162 tokens per session scan A b772238c041f
ferpa-education-records is a skill published in the GitHub repository vaquarkhan/compliance-agent-skills (4 stars, last pushed 2mo ago), licensed MIT. It adds 162 tokens to every session and 1,851 once invoked, about $0.0006 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 2026-08-31.
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