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-calcgit 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-calc)<a href="https://agentmods.dev/skills/dhicoc/wuyun-liuqi-skills/yunqi-calc"><img src="https://agentmods.dev/badge/skills/dhicoc/wuyun-liuqi-skills/yunqi-calc/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-calc"><img src="https://agentmods.dev/badge/skills/dhicoc/wuyun-liuqi-skills/yunqi-calc.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00096 | $0.01013 |
| Opus 5.5 | $0.00038 | $0.00405 |
| Sonnet 5.5 | $0.00019 | $0.00203 |
| Haiku 4.5 | $0.00010 | $0.00101 |
Grade A, and why
yunqi-calc 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.
What it actually says
运气推算核心子技能
适用范围
- 根据公历年份推算五运六气全套参数
- 大运太过不及判断及平气分析
- 主运五步与客运五步排列
- 司天在泉推算及客气六步排列
- 主气六步固定排列
- 客主加临顺逆分析
- 运气同化判断（天符、岁会、太一天符）
- 为病机分析和临床方案提供运气基础数据
脚本依赖
| 脚本 | 用途 | 必需 |
|---|---|---|
| calculate_yunqi_api.py | 统一推算：干支/大运/主运客运/司天在泉/客主加临，单次返回全部域 | 是 |
推荐工作流
Step 1/5: 干支推算
ACT: 调用 python scripts/calculate_yunqi_api.py <年份> 获取该年的天干地支（year_gz）
Step 2/5: 大运推算
ACT: 调用 python scripts/calculate_yunqi_api.py <年份> 获取大运五行、太过不及判断（sui_yun）
Step 3/5: 六气推算
ACT: 调用 python scripts/calculate_yunqi_api.py <年份> 获取司天在泉及客气六步排列（si_tian / zai_quan / ke_qi_six_steps）
Step 4/5: 客主加临
ACT: 调用 python scripts/calculate_yunqi_api.py <年份> 获取六步客主加临顺逆分析（ke_zhu_jia_lin）
Step 5/5: 运气同化判断 ACT: 查 references/yunqi_tonghua.md 判断天符/岁会/太一天符
常见误区
| 问题 | 原因 | 解决方案 |
|---|---|---|
| 大运太过不及判断错误 | 阳干太过阴干不及 | 查 references/taiguo_buji.md |
| 客气初气定错 | 客气初气取决于司天位置 | 查 references/zhuqi_keqi.md |
| 司天在泉配对错误 | 不是简单的五行相克关系 | 查 references/sitian_zaiquan.md |
| 客主加临顺逆判断错误 | 需按五行生克关系判断 | 查 references/kezhujialin.md |
输出要求
- 明确标注年份及对应干支
- 大运需标注五行属性及太过/不及/平气
- 主运五步和客运五步需标注太少
- 司天在泉需标注六气名称
- 客气六步需按初气至终气顺序排列
- 客主加临需逐步标注顺逆及五行生克关系
- 运气同化需标注天符/岁会/太一天符（若有）
- 所有推算结果应可追溯至参考文档
路由上下文
- 上游入口: SKILL.md, routing.yaml
- 下游出口: 病机分析→modules/yunqi-pathogenesis/; 临床方案→modules/yunqi-clinical/
- 同级关联: 干支基础→modules/ganzhi-basics/
ACTION REQUIRED
- 确认输入年份为公历纪年
- 确认所有脚本依赖已安装且可执行
- 确认参考文档目录结构完整
任务完成自检
- 干支推算结果已输出
- 大运太过不及已判断
- 主运客运五步已排列
- 司天在泉已推算
- 客气主气六步已排列
- 客主加临顺逆已分析
- 运气同化已判断
- 所有结果可追溯至参考文档
What ships with it
8 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.
- 2mo ago First seen · 84 lines · 96 tokens per session scan A 1963bb53e6bc
yunqi-calc is a skill published in the GitHub repository dhicoc/wuyun-liuqi-skills (52 stars, last pushed 2mo ago), licensed MIT. It adds 96 tokens to every session and 1,013 once invoked, about $0.0004 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.
yunqi-calc compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| yunqi-calcdhicoc/wuyun-liuqi-skills | Skill | 52 | 2mo ago | MIT | A | 96 | Claude Code |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | yesterday | Apache-2.0 | A | 123 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 6d ago | MIT | A | 44 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 6d ago | MIT | A | 83 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 6d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | today | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | today | Apache-2.0 | A | 205 | Claude Code |