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kua-agent 526b14ae00 feat: add mmd-it marketplace + mmd-workspace plugin (4 MMD skills)
Org-wide Claude Desktop plugin marketplace for MMD Group IT. Adds the
mmd-it marketplace manifest and the mmd-workspace plugin
(installationPreference: required) carrying four skills grounded in
real MMD material: mmd-document-style, mmd-email-style,
mmd-it-support, mmd-data-handling. Public repo, no secrets — MCP
credentials are delivered separately via managedMcpServers.
2026-08-06 18:25:56 +04:00

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---
name: mmd-data-handling
description: Use before pasting, uploading, or discussing sensitive company or personal data in Claude Desktop as an MMD user, or when asked what is and isn't safe to share with the AI assistant. Triggers on "can I paste this", "is this safe to share with AI", "data handling", "confidential data in Claude", "what data can I give the assistant", or "AI policy".
---
# What can go into Claude Desktop at MMD
MMD Claude Desktop does not talk to Anthropic directly. Every request is routed through MMD's
own AI gateway, running on MMD's own infrastructure, which sits in front of the actual model
providers and presents them to Claude Desktop under MMD's own model labels. In practice that
means the model actually doing the work behind a given "Claude" label in the app is not
necessarily an Anthropic model — MMD's gateway maps some of the model tiers you see onto a
different underlying provider's models, labelled so the experience is consistent, while still
being routed and metered entirely through MMD's own gateway rather than a raw pass-through to
one vendor.
The practical consequence: treat the assistant as an MMD-operated tool sitting in front of a
third-party model backend, not as a private, Anthropic-only channel. Apply the same judgment
you would to any other external processor of company data — the data leaves MMD's direct
control and is processed by a model vendor outside MMD, even though the request and the keys
are MMD's own.
## Safe to use normally
- Ordinary work drafting: documents, emails, meeting notes, summarizing something you already
have access to, general research and writing help.
- Company information you would already put in an ordinary internal email or document, at the
sensitivity level appropriate to that channel.
## Think before pasting
- **Credentials, API keys, tokens, passwords.** Never paste a live credential into a chat to
"have the assistant use it" — every MMD automation pattern that needs a credential fetches it
itself from a secured store; a credential typed into a prompt has left that store's
protection and is now sitting in a model request.
- **Bulk personal data about other people** (employee records, customer PII, ID numbers,
health or financial detail) beyond what the specific task actually needs. Give the assistant
the minimum slice required, not a whole export "just in case it's useful."
- **Anything under legal hold, an NDA that names AI processing restrictions, or a specific
confidentiality marking** that would already stop you from emailing it externally — if it
wouldn't go in an external email, it should not go into a prompt either, since a prompt is
also leaving MMD's boundary to a third-party model backend.
- **Unreleased financial results, M&A, or similarly market-moving information** — treat the
assistant as an external party for the purposes of information-barrier rules that already
apply to that category of data.
## If you're not sure
Ask before pasting rather than after. Sensitivity judgment calls for a specific document or
dataset are exactly the kind of thing worth a quick check with MMD IT (see the
`mmd-it-support` skill) rather than guessing.
## What NOT to do
- Don't assume "it's just Claude, it's fine" — the routing above means that assumption doesn't
hold at MMD; the request goes through MMD's gateway to whichever backend model is actually
serving that tier.
- Don't paste a secret/token to get something done faster — use the credential's own store.
- Don't upload a full customer or employee database when a filtered extract would answer the
question.