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 docs-generatorgit 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/docs-generator)<a href="https://agentmods.dev/skills/dhicoc/wuyun-liuqi-skills/docs-generator"><img src="https://agentmods.dev/badge/skills/dhicoc/wuyun-liuqi-skills/docs-generator/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/docs-generator"><img src="https://agentmods.dev/badge/skills/dhicoc/wuyun-liuqi-skills/docs-generator.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 | $0.00062 | $0.04572 |
| Opus 5.5 | $0.00025 | $0.01829 |
| Sonnet 5.5 | $0.00012 | $0.00914 |
| Haiku 4.5 | $0.00006 | $0.00457 |
Grade A, and why
docs-generator 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.
How it starts
The opening of the file, as written. The whole thing — 333 lines — stays where its author put it; the contents beside it link to each section on GitHub.
报告生成(运气分析报告标准格式)
适用范围
- 根据上游推算结果生成结构化的五运六气分析报告
- 支持三种报告类型:简明版(student)、临床版(practitioner)、研究版(researcher)
- 确保报告包含必要的免责声明与推算脚本标注
- 为不同使用场景(教学、临床、研究)提供适配的报告格式
脚本依赖
本子技能无独立脚本依赖,但需要调用上游子技能的推算结果:
| 依赖来源 | 数据内容 | 格式要求 |
|---|---|---|
ganzhi-basics |
干支、甲子序号、大运、六气格局、节气运气交司 | 结构化键值对 |
yunqi-classics |
文献引用、理论依据、验证结论 | 结构化引用列表 |
calculate_yunqi_api.py |
推算脚本名称与版本 | 字符串 |
推荐工作流
- ACT: 收集推算结果,从
ganzhi-basics获取干支推算数据(公历年份、天干、地支、完整干支、甲子序号、大运五行及太过不及、司天在泉、六气格局、节气运气交司关系),从yunqi-classics获取文献引用与理论验证结论。 - ACT: 确定报告类型,根据用户身份与使用场景选择报告类型:
- 简明版(student):面向学生与初学者,侧重干支与运气格局的简明呈现
- 临床版(practitioner):面向临床中医师,侧重病机分析与治法方药
- 研究版(researcher):面向研究人员,侧重文献引用与理论讨论
- ACT: 按模板生成报告,根据所选报告类型对应的模板生成报告内容。各模板格式见下方"报告模板"章节。报告中所有推算数据须标注来源脚本。
- ACT: 附加免责声明,在报告末尾附加标准免责声明。免责声明为报告的必须组成部分,不得省略。免责声明内容见下方"免责声明"章节。
- ACT: 校验报告完整性,检查报告是否包含所有必要章节、是否标注推算脚本、是否附加免责声明。校验通过后输出最终报告。
脚本调用示例
| 使用场景 | 命令 |
|---|---|
| 快速摘要 | python scripts/calculate_yunqi_api.py 2026-06-29 --summary |
| 完整报告(学生版) | python scripts/calculate_yunqi_api.py 2026-06-29 --report-type student |
| 完整报告(临床版) | python scripts/calculate_yunqi_api.py 2026-06-29 --report-type practitioner |
| 完整报告(研究版) | python scripts/calculate_yunqi_api.py 2026-06-29 --report-type researcher |
| 仅输出 JSON 数据 | python scripts/calculate_yunqi_api.py 2026-06-29 --json |
| 年度综合报告 | python scripts/yunqi_report.py 2026 --audience student|practitioner|researcher |
| 验证安装 | python tests/verify_expansion.py + tests/full_regression_test.py(105/0 + 55/0) |
报告模板
简明版(student)
面向学生与初学者,侧重运气格局的简明呈现。学生版报告默认附带术语解释,帮助初学者理解专业概念。
# 五运六气分析报告(简明版)
## 基本信息
- 公历年份:[年份]
- 干支:[天干][地支](第[序号]甲子)
- 推算脚本:scripts/calculate_yunqi_api.py
## 大运(中运)
- 天干:[天干] → 化[五行]运
- 运气特征:[太过/不及]
- 气候趋势:[简述]
## 六气格局
- 司天:[司天之气](主上半年)
- 在泉:[在泉之气](主下半年)
- 主气六步:[初之气~终之气简列]
## 节气运气交司
- 当前节气:[节气名]
- 所处主气:[步位]([六气名])
- 所处主运:[步位]([五行运])
## 简述
[一段简明的运气格局总结,100-200字]
## 术语解释(学生版默认附带)
- **岁运**:五运六气中一年的主管运气,由年干决定,每10年一个周期。
- **司天**:主管上半年的气,由年支决定。
- **在泉**:主管下半年的气,与司天相对。
- **主气**:每年固定不变的六气,代表正常季节气候。
- **客气**:每年变动的六气,客气加临主气形成客主加临。
- **客主加临**:客气与主气叠加,顺则气候平和,逆则气候异常。
- **[当前司天/在泉/主气/客气术语]**:分别解释当前出现的六气术语。
> 如需更完整的术语解释,可运行:
> `python scripts/calculate_yunqi_api.py [日期] --explain`
---
免责声明:本报告基于五运六气理论推算生成,仅供参考与学习之用,
不构成任何医疗建议。运气学说为古代气候医学理论,其预测准确性
存在争议。如有健康问题,请咨询专业医师。
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 · 333 lines · 62 tokens per session scan A 21e2038a35af
docs-generator is a skill published in the GitHub repository dhicoc/wuyun-liuqi-skills (52 stars, last pushed 2mo ago), licensed MIT. It adds 62 tokens to every session and 4,572 once invoked, about $0.0002 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.
docs-generator compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| docs-generatordhicoc/wuyun-liuqi-skills | Skill | 52 | 2mo ago | MIT | A | 62 | 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 |