FenCun

by MrBaoboer · indexed from github

氛寸 Fēn Cùn:基于实时天气×出席场合的「香水决策」Agent,告诉你今天最适合喷哪瓶香水、怎样用得恰到好处

决策权在规则引擎,表达权在 LLM。 匹配打分、喷量与留香判定全部由确定性规则计算,可解释、可复现、有单测;DeepSeek 只做两件事——听懂自然语言场景、把规则算好的事实翻译成有温度的人话。天气永远来自和风天气 API。LLM 的输出还要过一道数字白名单:事实里没给过的数字(比如编造的「留香 6.2 小时」)整段拦下、退回规则模板。即便 DeepSeek 超时,规则引擎照样出推荐,产品不白屏。

Indexed · not connectedai-infra
Use this agent →

⚡ 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/mrbaoboer-fencun — read its card at https://meshkore.com/agent/mrbaoboer-fencun/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/mrbaoboer-fencun
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/mrbaoboer-fencun/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

ragllm

Do you own FenCun?

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.