AI Governance & Data Protection
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AI Governance & Data Protection
Govern AI use on sensitive M&E data: map PII flows, write an AI disclosure policy, log bias tests and vet vendors. Use before using AI on beneficiary or client data.
Installs into Claude Code, opencode, Claude.ai, ChatGPT, Gemini. Members get the full library.
It triggers on
- "AI policy"
- "data protection M&E"
- "PII data flow"
- "AI disclosure"
- "bias test"
- "vendor due diligence"
What it produces
- Map
- Disclose
- Test
- Vet
From download to answer in three steps.
Download & unzip
You get a folder with SKILL.md, its references and a cheatsheet.
Install it
Drop it in your skills directory (Claude Code / opencode), or upload SKILL.md to a Project, Custom GPT or Gem.
Ask
Ask in this domain. It answers from the source, cites the section, or says [NOT IN SOURCE].
Before you install.
What exactly is a skill?
A skill is a folder your AI loads on demand: a SKILL.md with the method, reference files, a cheatsheet and a provenance manifest. The model answers from it and replies [NOT IN SOURCE] instead of inventing.
Which AIs does it work with?
This skill installs into Claude Code, opencode, Claude.ai, ChatGPT, Gemini — and any tool that reads a SKILL.md.
Will it answer from the source?
Yes. Every package carries explicit answering rules: cite the section for each claim, label authority vs reasoning, and never invent a figure, citation or rule.
Is it kept current?
Yes. Method and donor skills are reviewed quarterly and you can re-download the latest version from your dashboard.
AI Governance & Data Protection
Govern AI use on sensitive M&E data: map PII flows, write an AI disclosure policy, log bias tests and vet vendors.
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