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YBK · Enterprise AI Asset Governance
One control plane for every AI asset: MCP, skill, agent, app
Most teams already run MCP servers, skills, agents and AI apps. What's missing is treating them as assets — one identity, one permission model, one cost ledger, one audit trail. ybkkasi does that: • Five asset types in one ledger with a lifecycle state machine • Cost attribution by department × agent × skill — attribution, not just observation • Dependency topology and blast-radius analysis • Fully self-hosted, MIT. Node 22 + node:sqlite, zero added dependencies
Hey everyone — I'm the solo maintainer of ybkkasi (元冰可).
Context in one line: we turn every MCP server, Skill, Agent and AI app in a company into an asset you can govern, cost, and audit.
Three things I built that I couldn't find elsewhere:
1. Five asset types in one ledger with a real lifecycle state machine (not five separate dashboards)
2. Cost attribution on department × agent × skill — attribution, not just observation. Knowing the total went up doesn't let you cut it.
3. Fully self-hosted + MIT, zero added dependencies (Node 22 + node:sqlite). Nothing to install behind your firewall — that matters more than it sounds.
v1.3.0: 27 plugin packages / 84 permission points / 354 REST routes / 83 MCP tools / 1486 selftest assertions green. zh-CN, en-US, ja-JP.
Repo is MIT if you'd rather just read the code:
https://github.com/01men/ybkkasi
I'll be in the comments all day — ask me anything, especially the hard ones.
About YBK · Enterprise AI Asset Governance on Product Hunt
“One control plane for every AI asset: MCP, skill, agent, app”
YBK · Enterprise AI Asset Governance was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #320 on the daily leaderboard. Most teams already run MCP servers, skills, agents and AI apps. What's missing is treating them as assets — one identity, one permission model, one cost ledger, one audit trail. ybkkasi does that: • Five asset types in one ledger with a lifecycle state machine • Cost attribution by department × agent × skill — attribution, not just observation • Dependency topology and blast-radius analysis • Fully self-hosted, MIT. Node 22 + node:sqlite, zero added dependencies
On the analytics side, YBK · Enterprise AI Asset Governance competes within Artificial Intelligence and GitHub — topics that collectively have 523.1k followers on Product Hunt. The dashboard above tracks how YBK · Enterprise AI Asset Governance performed against the three products that launched closest to it on the same day.
Who hunted YBK · Enterprise AI Asset Governance?
YBK · Enterprise AI Asset Governance was hunted by Yuanivy (元冰可). A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of YBK · Enterprise AI Asset Governance including community comment highlights and product details, visit the product overview.
Yuanivy (元冰可)