AI agent governance for skills, prompts, MCPs and secrets
Policy frameworks leave a gap if you cannot control the skills, prompts, MCPs, secrets and agents people use daily. That is what Joyst governs.
Ideas on governing AI capability — skills, prompts, agents, MCPs, and secrets.
Policy frameworks leave a gap if you cannot control the skills, prompts, MCPs, secrets and agents people use daily. That is what Joyst governs.
Without owners, skills and prompts drift across tools and people. Assign owners, publishing rights and sharing levels so the live copy has a name attached.
Marketplace pages optimise for discovery. Your team needs a private MCP catalogue to connect, document, allow-list and own the servers people actually call.
Maintaining a Claude copy and a Cursor copy of the same skill guarantees drift. A skills registry gives you one owned version the team can sync across tools.
"Prompt library" means two different things on Google. One is a public list. The other is a private, versioned library your organisation controls.
Prompt versioning means draft, publish and roll back for team prompts. Stop drift across ChatGPT, Claude, Cursor and agents with one live copy.
Keys in chat logs fail audits and leave credentials in places you cannot control. Keep secrets in a vault and let agents use them without pasting them into chat.
When your best prompts live in five tools, nobody knows which copy is current. A private team library puts ownership, versions and sharing levels in one place.
Proxies sit in the path of live traffic. Catalogues document and govern what exists. Most organisations need the second before the first.
Drafts and publishing, groups and private-by-default secrets let specialists move fast while organisations keep control.