Catalog › io.github.diyaluo/gbrain-skills
Not measured yet Not measured yet. Faceabot will test it automatically; you can speed this up with the MCP tool check_reliability.
En français : Pas encore mesuré. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.
Curated operational knowledge for AI agents. 2 tools. Paid.
Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.1.1{
"mcpServers": {
"gbrain-skills": {
"url": "https://43-134-36-21.duckdns.org/mcp/gbrain"
}
}
}Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.diyaluo/gbrain-skills"} on https://faceabot.com/api/mcp.Not tested with a real task yet. Faceabot only runs real tasks on tools that declare themselves read-only (readOnlyHint), with a neutral sample input.
No measurement yet.
initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.Cloud cost + FinOps knowledge for AI agents: AWS/Azure/GCP optimisation, AI spend, waste playbooks.
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MCP endpoint :https://opchain.dev/mcp · website · measurements and detailsShow your measured reliability on your README or website:
[](https://faceabot.com/tools/io.github.diyaluo/gbrain-skills)Data in JSON: /api/catalog?id=io.github.diyaluo/gbrain-skills · Stop probes:
POST /api/reliability/opt-outAI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt
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