agentmods.dev

yunqi-pathogenesis

yunqi-pathogenesis is a skill for Claude Code from dhicoc/wuyun-liuqi-skills. It costs 113 tokens per session (1,976 once invoked), scanned A, original, MIT.

A Chinese medicine analysis skill that connects calculated yearly patterns of the Five Movements and Six Qi with traditional explanations of how illness may develop.

In plain words
What is it for?
It helps examine organ-related illness trends, excess and deficiency patterns, combined influences, and traditional disease progression.
Why use it?
It requires the yearly calculation first, so the analysis is based on a specific movement-and-climate pattern rather than an unsupported guess.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the wuyun-liuqi-skills plugin — 38 skills shipped together

not rated 52repo 2mo ago A scan SkillSpector: pass 113 tokens original MIT

Good fit It helps examine organ-related illness trends, excess and deficiency patterns, combined influences, and traditional disease progression.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dhicoc/wuyun-liuqi-skills/yunqi-pathogenesis
View source ↗ dhicoc/wuyun-liuqi-skills
Install

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.

Any agent
npx skills add dhicoc/wuyun-liuqi-skills --skill yunqi-pathogenesis
Clone the repo
git clone --depth 1 https://github.com/dhicoc/wuyun-liuqi-skills

Made for: Claude Code.

Or install wuyun-liuqi-skills, the plugin that ships this one along with the rest of its 38 skills.

Wrote 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.

agentmods badge for yunqi-pathogenesis

README.md
[![agentmods](https://agentmods.dev/badge/skills/dhicoc/wuyun-liuqi-skills/yunqi-pathogenesis/github.svg)](https://agentmods.dev/skills/dhicoc/wuyun-liuqi-skills/yunqi-pathogenesis)
Your own site
<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.

agentmods 80×15 button for yunqi-pathogenesis

Your own site · 80×15
<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>
Per session 113 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,976 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00113 $0.01976
Opus 5.5 $0.00045 $0.00790
Sonnet 5.5 $0.00023 $0.00395
Haiku 4.5 $0.00011 $0.00198

Measured 2mo ago against content hash 59a7fa77d08b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 2mo 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.

modules/yunqi-pathogenesis/SKILL.md · 127 lines

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
  • 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
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：
    1. 当年运气格局概述（大运、司天在泉、客主加临）
    2. 五运病机判断（对应脏腑、太过不及方向）
    3. 六气病机判断（对应经络、司天在泉影响）
    4. 胜复规律分析（胜复脏腑链条）
    5. 运气合病判断（同化/不和/顺化/天刑）
    6. 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）

Read the full file on GitHub · 127 lines

Files

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.

Changes

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.

  1. 2mo ago First seen · 127 lines · 113 tokens per session scan A 59a7fa77d08b

Subscribe to this mod's changes

yunqi-pathogenesis is a skill published in the GitHub repository dhicoc/wuyun-liuqi-skills (52 stars, last pushed 2mo ago), licensed MIT. It adds 113 tokens to every session and 1,976 once invoked, about $0.0005 per session on Opus 5.5. 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.

Scientific
Related

yunqi-pathogenesis compared with skills from other repositories

yunqi-pathogenesis next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
yunqi-pathogenesisdhicoc/wuyun-liuqi-skillsSkill522mo agoMITA113Claude Code
instrument-data-to-allotropeanthropics/knowledge-work-pluginsSkill35kyesterdayApache-2.0A123Claude Code
matlabK-Dense-AI/scientific-agent-skillsSkill56k6d agoMITA44Claude Code
exploratory-data-analysisK-Dense-AI/scientific-agent-skillsSkill56k6d agoMITA83Claude Code
phylogeneticsK-Dense-AI/scientific-agent-skillsSkill56k6d agoMITA71Claude Code, Codex
research-engineerdavila7/claude-code-templatesSkill33ktodayMITA43Claude Code, Codex
mapping-to-snomedmaziyarpanahi/openmedSkill5.8ktodayApache-2.0A205Claude Code