guandan-lab
15-minute beginner coach for Guan Dan, a Chinese four-player partnership card game — deterministic rules, fair AI, memory drills and replays.
准备公开部署前运行 docker compose run --rm --no-deps web node scripts/doctor.mjs；本地 Node 开发也可运行 npm run doctor。它会检查会话、SQLite、HTTPS、OAuth、在线匹配、兼容模型、ElevenLabs 和打赏链接，只输出能力状态与修复建议，不会显示任何密钥；存在生产阻断项时以非零状态退出。
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/mereithhh-guandan-lab — read its card at https://meshkore.com/agent/mereithhh-guandan-lab/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/mereithhh-guandan-labFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/mereithhh-guandan-lab/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own guandan-lab?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.