Borrowing it
Nothing to install: this file belongs to dhicoc/wuyun-liuqi-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/dhicoc/wuyun-liuqi-skills/master/CLAUDE.mdgit 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/instructions/dhicoc/wuyun-liuqi-skills/claude-md)<a href="https://agentmods.dev/instructions/dhicoc/wuyun-liuqi-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/dhicoc/wuyun-liuqi-skills/claude-md/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/instructions/dhicoc/wuyun-liuqi-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/dhicoc/wuyun-liuqi-skills/claude-md.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 | $0.00629 | $0.00629 |
| Opus 5 | $0.00315 | $0.00315 |
| Sonnet 5 | $0.00126 | $0.00126 |
| Haiku 4.5 | $0.00063 | $0.00063 |
Grade A, and why
wuyun-liuqi-skills CLAUDE.md 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.
What it actually says
CLAUDE.md — 五运六气技能包入口
正式规则在 SKILL.md 与 routing.yaml。本文件为 Claude Code 兼容薄壳。
激活：用户提到五运六气、运气、大运、司天在泉、客主加临、运气病机、七篇大论等 → 立即读取 SKILL.md。
Always Read
case-journal/precedent-disclaimer.mdrules/calculation.mdrouting.yamlworkflows/routing-contract.md
Red Flags
- MUST NOT 凭记忆推算 → 必须调用
scripts/Python 脚本 - 临床/方药/针灸 → 必须附加免责声明
- 意图模糊 →
prompts/onboarding_prompt.md - 讲解模式触发（学概念/思想/注家对照）→ 加载
prompts/expression_style.md，深度扮演加载perspectives/ - 注家对照/引经据典 → 优先 Grep
rag-knowledge-base/*_guide.md（蒸馏指南）或literature/（原文） - 同格局医案 →
rag_search --key <rag_key> --asset asset9（圣济总录 60 岁图医案，按格局检索） - 历代名家临证医案 →
rag_search --asset asset11/12/13/14/15/16（名医类案/续名医类案/古今医案按/丁甘仁/伤寒九十论/临证指南，共 901 条，按病证检索）
任务路由在 routing.yaml。每个新任务：读 YAML → 匹配 tasks/axes → 读 required_reads → 执行 workflow/script。摘要：routing.md。
Auto-Triggers
- 新任务 → 重新匹配路由
- 首次使用 →
workflows/bootstrap.md - 可选原生技能桩：
.claude/skills/wuyun-liuqi/SKILL.md（指向本包SKILL.md） - Claude Code 插件：
.claude-plugin/→workflows/claude-plugin-install.md - 讲解模式（学概念/思想/天人合一/注家对照）→
prompts/expression_style.md+teaching-modules/+rag-knowledge-base/*_guide.md - 深度注家扮演（刘完素/张介宾视角）→
perspectives/
冲突时：以 SKILL.md、routing.yaml 为准。
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 · 43 lines · 629 tokens per session scan A d0ee4ea635b3
wuyun-liuqi-skills CLAUDE.md is an instructions file published in the GitHub repository dhicoc/wuyun-liuqi-skills (42 stars, last pushed 27d ago), licensed MIT. It adds 629 tokens to every session, about $0.0031 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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