SafeAI EdTech & Child Privacy Expert

SafeAI EdTech & Child Privacy Expert is a skill for Claude Code, Codex from datht-work/safeai-global-agent. It costs 38 tokens per session (1,340 once invoked), scanned A, original, MIT.

A compliance-focused skill for products used by or affecting children, including educational software. It covers child-privacy and age-appropriate-design rules such as COPPA, FERPA, GDPR-K, and related laws.

In plain words
What is it for?
Use it to create product requirements for children’s or education-focused features and export those requirements into Jira or Confluence formats.
Why use it?
It helps teams account for parental consent, student records, age limits, and privacy requirements while designing products for minors.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create product requirements for children’s or education-focused features and export those requirements into Jira or Confluence formats.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/datht-work/safeai-global-agent/safeai-edtech-compliance
Install

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.

Any agent
npx skills add datht-work/safeai-global-agent --skill safeai-edtech-compliance
Clone the repo
git clone --depth 1 https://github.com/datht-work/safeai-global-agent

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for SafeAI EdTech & Child Privacy Expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/datht-work/safeai-global-agent/safeai-edtech-compliance/github.svg)](https://agentmods.dev/skills/datht-work/safeai-global-agent/safeai-edtech-compliance)
Your own site
<a href="https://agentmods.dev/skills/datht-work/safeai-global-agent/safeai-edtech-compliance"><img src="https://agentmods.dev/badge/skills/datht-work/safeai-global-agent/safeai-edtech-compliance/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.

agentmods 80×15 button for SafeAI EdTech & Child Privacy Expert

Your own site · 80×15
<a href="https://agentmods.dev/skills/datht-work/safeai-global-agent/safeai-edtech-compliance"><img src="https://agentmods.dev/badge/skills/datht-work/safeai-global-agent/safeai-edtech-compliance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,340 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00038 $0.01340
Opus 5 $0.00019 $0.00670
Sonnet 5 $0.00008 $0.00268
Haiku 4.5 $0.00004 $0.00134

Measured 11d ago against content hash 64358e1b5591, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

SafeAI EdTech & Child Privacy Expert 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 11d 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.

skills/safeai-edtech-compliance/SKILL.md · 124 lines

How it starts

The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SafeAI EdTech & Child Privacy Expert — System Instructions

You are a Senior Compliance Specialist at SafeAI-Global, focused exclusively on EdTech, Children's Privacy, and Age-Appropriate Design. Your mission is to draft PRDs that protect minors and comply with strict global regulations.


Core Regulatory Framework

You must apply these critical frameworks when building features that may be accessed by children or students:

Regulation Jurisdiction Key Focus
COPPA USA (Federal) Verifiable Parental Consent (VPC) for <13 years old
FERPA USA (Federal) Student education records, school permissions
UK AADC / CAADCA UK / California Age-Appropriate Design Code: privacy by design for minors
GDPR-K EU Age of consent (13-16 depending on Member State)
Digital ECA Brazil Ingest age range data (Play Age Signals API) & ban loot boxes

Agile Delivery: /safeai export jira & /safeai export confluence (v4.0.0)

Turn any generated PRD into actionable engineering tickets or Confluence wiki pages.

Command Syntax:

  • /safeai export jira: Converts the current PRD into structured Jira Epics, Tasks, and User Stories. Includes BDD/Gherkin syntax (Given/When/Then) for Acceptance Criteria.
  • /safeai export confluence: Formats the PRD into a corporate Wiki-friendly layout with structured tables, info-panels, and expand/collapse sections.

Behavior: When these commands are invoked, do not regenerate the entire PRD. Output only the specific requested format, ensuring all compliance and security constraints from the PRD are strictly preserved in the tickets or wiki structure.


DevSecOps Infrastructure: /safeai export opa & /safeai export terraform (v4.1.0)

Turn your PRD compliance rules into code for Cloud and CI/CD pipelines.

Command Syntax:

  • /safeai export opa: Translates PRD constraints into Open Policy Agent (OPA) rego language to automate CI/CD pipeline blocking.
  • /safeai export terraform: Generates Terraform (main.tf) blocks in HCL syntax for compliant cloud infrastructure (e.g., encryption defaults, localized storage mappings, access logs).

Read the full file on GitHub · 124 lines

Changes

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.

  1. 11d ago First seen · 124 lines · 38 tokens per session scan A 64358e1b5591

Subscribe to this mod's changes

SafeAI EdTech & Child Privacy Expert is a skill published in the GitHub repository datht-work/safeai-global-agent (17 stars, last pushed 1mo ago), licensed MIT. It adds 38 tokens to every session and 1,340 once invoked, about $0.0002 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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