Agent Skills: TCM Meridian Inference Skill

TCM meridian inference engine — health scoring from 6-meridian measurements

UncategorizedID: aaaaqwq/claude-code-skills/tcm-meridian-inference

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pnpm dlx add-skill https://github.com/aAAaqwq/AGI-Super-Team/tree/HEAD/skills/tcm-meridian-inference

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skills/tcm-meridian-inference/SKILL.md

Skill Metadata

Name
tcm-meridian-inference
Description
TCM meridian inference engine — health scoring from 6-meridian measurements

TCM Meridian Inference Skill

中医经络推理引擎 — 输入6经络(肝/脾/肾/胃/胆/膀胱)左右测量值,输出:健康评分、经络状态、组合判症、门店讲解文案、调理建议。

触发词

经络推理、TCM推理、经络分析、meridian diagnosis、tcm inference

功能概述

  • 输入:6条经络的左右温度测量值(足部采集)
  • 输出
    • healthScore — 综合健康评分(0-100)
    • meridians — 每条经络的状态(stable / left_low / right_low / cross)、评分、症状标签
    • combinations — 跨经络组合判症(如「转氨酶偏高」「颈椎风险提示」)
    • summary — 总体概述
    • storefront — 门店讲解文案(焦点标题、客户解释、话术引导、复测提示)
    • advice — 调理建议列表
    • riskTags — 风险标签
  • 引擎:纯规则推理(Python stdlib-only),无需外部依赖
  • 经络列表:liver(肝)、spleen(脾)、kidney(肾)、stomach(胃)、gallbladder(胆)、bladder(膀胱)

目录结构

tcm-meridian-inference/
├── SKILL.md              # 本文件
├── scripts/
│   ├── infer.py          # 推理引擎核心
│   ├── tcm_api.py        # HTTP API 服务
│   └── start_api.sh      # 一键启动脚本
└── rules/
    ├── thresholds.json       # 温度阈值与评分参数
    ├── meridian_rules.json   # 单经络规则(18条)
    └── combination_rules.json # 组合判症规则(6条)

HTTP API 接口定义

TCM 推理引擎以独立 HTTP 服务运行(默认端口 18790),所有功能通过 HTTP 调用。

启动服务

cd ~/clawd/skills/tcm-meridian-inference
bash scripts/start_api.sh          # 默认 18790
bash scripts/start_api.sh 8080     # 指定端口
TCM_API_PORT=9090 bash scripts/start_api.sh  # 环境变量

接口列表

| 方法 | 路径 | 说明 | |------|------|------| | POST | /api/inference/meridian-diagnosis | 完整推理(评分+状态+组合判症+门店文案+建议) | | POST | /test | 用内置示例数据测试 | | GET | /healthz | 健康检查 | | GET | / | 服务信息 |

请求体(POST /api/inference/meridian-diagnosis)

{
  "subject": {"id": "test-001", "name": "测试用户"},
  "measurements": {
    "liver":       {"left": 35.0, "right": 36.1},
    "spleen":      {"left": 35.1, "right": 35.9},
    "kidney":      {"left": 35.0, "right": 35.8},
    "stomach":     {"left": 35.1, "right": 36.0},
    "gallbladder": {"left": 35.0, "right": 35.9},
    "bladder":     {"left": 35.2, "right": 35.9}
  }
}

字段说明:

  • subject:可选,被测者标识
  • measurements:必填,6条经络的左右值
    • 每条经络需包含 leftright(浮点数,单位:°C)
    • 可选 trendDelta 字段(默认 = right - left)

响应体

{
  "engine": {"mode": "rule-based-mvp", "version": "0.2.0"},
  "subject": {"id": "test-001", "name": "测试用户"},
  "healthScore": 84.0,
  "scores": {"liver": 84.0, "spleen": 100.0, "kidney": 100.0, "stomach": 100.0, "gallbladder": 100.0, "bladder": 100.0},
  "meridians": {
    "liver": {
      "status": "left_low",
      "score": 84.0,
      "symptoms": ["代谢差", "气虚", ...],
      "tags": ["left_low"]
    },
    ...
  },
  "sixDimensionScores": [...],
  "riskTags": ["left_low"],
  "combinations": [],
  "summary": "肝左低:代谢侧偏弱",
  "reportSummary": "...",
  "advice": ["关注代谢与睡眠节律", ...],
  "storefront": {
    "focusHeadline": "左侧偏低",
    "clientExplanation": "...",
    "talkTrack": ["...", "...", "..."],
    "retestPrompt": "建议间隔 20-30 分钟复测一次,连续 2-3 次趋势更可靠。"
  },
  "trace": {...}
}

响应字段说明

| 字段 | 类型 | 说明 | |------|------|------| | healthScore | float | 综合评分(0-100),6经络均值 | | scores | object | 各经络评分 | | meridians | object | 各经络状态详情(status / score / symptoms / tags) | | combinations | array | 命中的组合判症规则 | | summary | string | 机器可读的简短摘要 | | storefront | object | 门店讲解用文案 | | advice | array[string] | 调理建议 | | riskTags | array[string] | 去重后的风险标签 | | trace | object | 完整推理轨迹(调试用) |

经络状态枚举

| 状态 | 含义 | |------|------| | stable | 正常范围 | | left_low | 左侧偏低 | | right_low | 右侧偏低 | | cross | 左右差异明显 |

组合判症(combinations)

| 组合名 | 触发条件 | 标签 | |--------|----------|------| | 转氨酶偏高 | 肝左低 + 胆左低 | transaminase, liver_combo | | 颈椎风险提示 | 肾与膀胱相反侧低 | cervical | | 腰椎风险提示 | 肾与膀胱同侧低 | lumbar | | 心脏供血注意 | ≥4条经络右低 | heart_supply | | 头部供血注意 | ≥4条经络左低 | head_supply | | 颈椎加重提示 | 肾+膀胱相反低且脾左低 | cervical_plus |

CLI 单次推理

无需启动 HTTP 服务,直接用推理引擎:

cd ~/clawd/skills/tcm-meridian-inference
python3 scripts/infer.py path/to/case.json --pretty
python3 scripts/infer.py path/to/case.json --out result.json

OpenClaw 调用方式

方式A:Agent 通过 exec tool 调用 TCM API

OpenClaw agent 可以直接通过 exec 执行 curl 调用 TCM API:

# 确保 API 正在运行
curl -s http://localhost:18790/healthz

# 完整推理
curl -s -X POST http://localhost:18790/api/inference/meridian-diagnosis \
  -H "Content-Type: application/json" \
  -d '{
    "subject": {"id": "user-001", "name": "张三"},
    "measurements": {
      "liver": {"left": 34.5, "right": 34.3},
      "spleen": {"left": 34.8, "right": 34.6},
      "kidney": {"left": 33.5, "right": 34.2},
      "stomach": {"left": 34.0, "right": 34.5},
      "gallbladder": {"left": 34.2, "right": 34.0},
      "bladder": {"left": 33.8, "right": 34.8}
    }
  }'

方式B:CLI 命令行触发

从任何脚本中向 OpenClaw agent 发送消息请求推理:

openclaw agent --agent main --deliver --message "请帮我推理经络数据: liver左35右36, spleen左35.1右35.9, kidney左35右35.8, stomach左35.1右36, gallbladder左35右35.9, bladder左35.2右35.9"

方式C:Cron 定时推理 + 结果推送

通过 OpenClaw cron 配置定时推理任务,将结果推送到外部 webhook:

{
  "schedule": "0 9 * * *",
  "task": "调用 TCM API 推理经络数据并将结果 POST 到外部 URL",
  "delivery": {
    "mode": "webhook",
    "to": "https://your-app.com/api/tcm-callback"
  }
}

方式D:反向集成(外部系统调 TCM)

外部系统直接调用 TCM API:

curl -X POST http://<HOST_IP>:18790/api/inference/meridian-diagnosis \
  -H "Content-Type: application/json" \
  -d @request.json

适用于:门店系统、小程序后端、IoT 设备网关等。

使用示例

# 1. 启动 API
cd ~/clawd/skills/tcm-meridian-inference
bash scripts/start_api.sh

# 2. 健康检查
curl http://localhost:18790/healthz

# 3. 用示例数据测试
curl -X POST http://localhost:18790/test

# 4. 完整推理
curl -s -X POST http://localhost:18790/api/inference/meridian-diagnosis \
  -H "Content-Type: application/json" \
  -d '{"measurements":{"liver":{"left":34.5,"right":34.3},"spleen":{"left":34.8,"right":34.6},"kidney":{"left":33.5,"right":34.2},"stomach":{"left":34.0,"right":34.5},"gallbladder":{"left":34.2,"right":34.0},"bladder":{"left":33.8,"right":34.8}}}' | python3 -m json.tool

# 5. CLI 单次推理(无需 API)
python3 scripts/infer.py /path/to/case.json --pretty

与 AI 推理集成

当需要把 TCM 规则推理结果交给 AI 做进一步分析时:

  1. 先调 TCM API 获取结构化推理结果(healthScore、经络状态、组合判症等)
  2. 把结果作为 prompt 的一部分发给 OpenClaw agent
  3. Agent 用 AI 能力做自然语言解读、个性化建议、用户友好的报告生成

示例流程:

用户提交经络数据 → TCM API 规则推理 → 结构化 JSON → Agent AI 解读 → 用户友好报告

规则引擎擅长精确的阈值判断和组合逻辑;AI 擅长自然语言理解和个性化表达。两者结合效果最佳。

技术说明

  • Python stdlib-only:零外部依赖,Python 3.6+ 即可运行
  • 规则库热加载:修改 rules/ 下的 JSON 文件后重启 API 即生效
  • 默认端口:18790(可通过环境变量 TCM_API_PORT 或启动参数修改)
  • 原项目路径~/clawd/projects/tcm-meridian-inference-mvp/(勿直接修改)

规则调优

规则文件位于 rules/ 目录:

  • thresholds.json — 温度阈值(lowMin=35.3, normalMin=35.6 等)和评分参数(每项扣分分值)
  • meridian_rules.json — 单经络规则(每条经络 3 个状态 × 6 条经络 = 18 条规则)
  • combination_rules.json — 跨经络组合判症规则(6 条)

修改规则后重启 API 即可生效,无需修改代码。