Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add dhicoc/wuyun-liuqi-skills --skill yunqi-pathogenesisgit clone --depth 1 https://github.com/dhicoc/wuyun-liuqi-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/dhicoc/wuyun-liuqi-skills/yunqi-pathogenesis)<a href="https://agentmods.dev/skills/dhicoc/wuyun-liuqi-skills/yunqi-pathogenesis"><img src="https://agentmods.dev/badge/skills/dhicoc/wuyun-liuqi-skills/yunqi-pathogenesis/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/dhicoc/wuyun-liuqi-skills/yunqi-pathogenesis"><img src="https://agentmods.dev/badge/skills/dhicoc/wuyun-liuqi-skills/yunqi-pathogenesis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00113 | $0.01976 |
| Opus 5 | $0.00056 | $0.00988 |
| Sonnet 5 | $0.00023 | $0.00395 |
| Haiku 4.5 | $0.00011 | $0.00198 |
Grade A, and why
yunqi-pathogenesis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
五运六气病机分析子技能
适用范围
- 根据年度运气格局分析脏腑发病趋势
- 五运（大运）太过不及所致病机的判断与推演
- 六气（司天在泉、客气加临）所致病机的判断与推演
- 运气合病（大运与六气共同影响）的复合病机分析
- 胜复规律下的疾病传变趋势推断
- 为临床应用子技能（yunqi-clinical）提供病机依据
前置依赖
MUST：本子技能无独立脚本依赖（文档化推理），但 MUST 先调用
yunqi-calc获取推算结果。 具体而言，需先通过calculate_yunqi_api.py获取大运（中运）信息及司天、在泉、客主加临等六气格局。 未获取推算结果前，不得进行病机分析。
推荐工作流
Step 1/4：获取推算结果
ACT: 调用 python scripts/calculate_yunqi_api.py <年份> 获取当年运气格局（sui_yun / si_tian / zai_quan / ke_zhu_jia_lin）
- 从
yunqi-calc获取以下关键数据：- 大运（中运）：何运主岁、太过或不及
- 司天之气：上半年客气
- 在泉之气：下半年客气
- 客主加临：六步客气与主气的加临关系
- 运气同化判断：是否天符、岁会、太一天符
- 确认推算结果完整后，方可进入下一步
Step 2/4：确定病机方向
ACT: 查阅 references/wuyun_bingji.md 和 references/liuqi_bingji.md
- 根据大运确定五运病机方向：
- 查
wuyun_bingji.md，按木火土金水五运定位对应脏腑 - 判断太过或不及，确定本气盛衰及所胜受邪/所不胜来乘的方向
- 查
- 根据六气确定六气病机方向：
- 查
liuqi_bingji.md，按厥阴、少阴、少阳、太阴、阳明、太阳六气定位对应经络脏腑 - 结合司天在泉，确定上下半年发病趋势
- 结合客主加临，确定各步时令的病机变化
- 查
Step 3/4：分析太过不及
ACT: 查阅 references/taiguo_bingji.md
- 判断太过之年的病机特点：本气偏盛 → 所胜受邪 → 所不胜来复
- 判断不及之年的病机特点：本气偏衰 → 所不胜来乘 → 所胜反侮
- 分析胜复规律：太过则有所不胜来复，不及则有所不胜来乘
- 查胜复关系表，确定具体的胜复脏腑链条
- 若为平气之年，病机较轻，但仍需结合六气综合分析
Step 4/4：综合运气合病
ACT: 查阅 references/yunqi_hebing.md
- 判断运气合病类型：
- 运气同化年（天符、岁会、太一天符）：气候偏盛，对应脏腑易病
- 运气不和（运克气/气克运）：病机复杂，需辨顺逆
- 顺化（运生气）与天刑（气克运）：判断病机轻重
- 运用病机十九条（至真要大论）相关条文验证病机方向
- 运用运气合病分析框架：
- 大运 → 定位脏腑（如木运→肝）
- 六气 → 定位经络（如厥阴风木→肝经）
- 客气加临 → 定时令（如初之气厥阴→春季发病趋势）
- 综合以上分析，形成完整的病机判断结论
常见误区
| 问题 | 原因 | 解决方案 |
|---|---|---|
| 脱离推算结果空谈病机 | 未获取当年运气格局 | 先调 yunqi-calc 脚本推算再分析 |
| 过度对应 | 运气只是参考因素之一 | 结合患者实际辨证，运气为参考维度 |
| 忽略客气影响 | 只看大运不看六气 | 大运 + 六气综合分析，不可偏废 |
| 混淆太过不及的胜复方向 | 胜复规律记忆不清 | 查 taiguo_bingji.md 胜复关系表 |
| 忽略运气同化的特殊性 | 未判断天符岁会 | 查 yunqi_hebing.md 运气同化年病机 |
| 病机分析脱离经典 | 未引用病机十九条 | 对照《素问·至真要大论》病机十九条验证 |
输出要求
- 病机分析报告须包含以下要素：
- 当年运气格局概述（大运、司天在泉、客主加临）
- 五运病机判断（对应脏腑、太过不及方向）
- 六气病机判断（对应经络、司天在泉影响）
- 胜复规律分析（胜复脏腑链条）
- 运气合病判断（同化/不和/顺化/天刑）
- 综合病机结论（易病脏腑、好发证型、时令趋势）
- 输出须标明引用的参考文档名称
- 不得直接给出方药或针灸处方（交由 yunqi-clinical 处理）
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 127 lines · 113 tokens per session scan A 59a7fa77d08b
yunqi-pathogenesis is a skill published in the GitHub repository dhicoc/wuyun-liuqi-skills (42 stars, last pushed 27d ago), licensed MIT. It adds 113 tokens to every session and 1,976 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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