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 five-flavors-balancegit 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/five-flavors-balance)<a href="https://agentmods.dev/skills/dhicoc/wuyun-liuqi-skills/five-flavors-balance"><img src="https://agentmods.dev/badge/skills/dhicoc/wuyun-liuqi-skills/five-flavors-balance/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/five-flavors-balance"><img src="https://agentmods.dev/badge/skills/dhicoc/wuyun-liuqi-skills/five-flavors-balance.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 | $0.00134 | $0.02507 |
| Opus 5 | $0.00067 | $0.01254 |
| Sonnet 5 | $0.00027 | $0.00501 |
| Haiku 4.5 | $0.00013 | $0.00251 |
Grade A, and why
five-flavors-balance 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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
五味调和原则 (Five Flavors Balance)
R — 原文 (Reading)
谨和五味,骨正筋柔,气血以流,腠理以密,如是则骨气以精。谨道如法,长有天命。阴之所生,本在五味;阴之五宫,伤在五味。是故多食咸则脉凝泣而变色,多食苦则皮槁而毛拔,多食辛则筋急而爪枯,多食酸则肉胝皱而唇揭,多食甘则骨痛而发落。
— 《素问·生气通天论篇第三》/《素问·五藏生成篇第十》
I — 方法论骨架 (Interpretation)
饮食不是简单的"吃饱吃好",而是一门精确的调配术。食物有五种基本味道——酸、苦、甘、辛、咸, 每种味道各有归入的脏腑:酸入肝、苦入心、甘入脾、辛入肺、咸入肾。适量则滋养对应脏腑, 过量则伤害该脏腑乃至其所克之脏。调和五味的关键不是"都吃一点"这种均摊法, 而是根据自身脏腑的虚实状态来增减:某脏偏虚则适当多食对应之味以补之, 某脏偏盛则减少对应之味以防过亢。同时要注意"五味所伤"——任何一味长期过量都有明确的病理后果。 这是一套以味觉为媒介的脏腑调节系统。
A1 — 书中的应用 (Past Application)
案例 1: 五味过量的具体伤害
- 问题: 偏食某一味会有什么后果
- 方法论的使用: 素问逐一列举五味过量的伤害:多食咸→脉凝泣变色(伤血/心);多食苦→皮槁毛拔(伤肺);多食辛→筋急爪枯(伤肝);多食酸→肉胝皱唇揭(伤脾);多食甘→骨痛发落(伤肾)
- 结论: 每种味道过量都有明确的脏腑伤害路径,味道偏好不是小事
- 结果: 形成一套"五味→五伤"的对应体系,作为饮食警示
案例 2: 脏腑苦欲补泻的食疗方案
- 问题: 特定脏腑出了问题应该吃什么味的食物
- 方法论的使用: 藏气法时论给出"苦欲补泻"原则:肝苦急食甘以缓之,心苦缓食酸以收之,脾苦湿食苦以燥之,肺苦气上逆食苦以泄之,肾苦燥食辛以润之
- 结论: 不是简单地"缺什么味补什么味",而是要根据脏腑的具体病态(急/缓/湿/逆/燥)来选择对应之味
- 结果: 将饮食调节从笼统的"均衡"推进到精确的"对症调味"
案例 3: 压力大嗜甜的现象解释
- 问题: 为什么有些人压力大时特别想吃甜食
- 方法论的使用: 思虑过度伤脾(土),脾欲甘——身体本能地通过甜味来补脾。但多食甘则骨痛发落(甘入脾,土克水,过甘伤肾)
- 结论: 嗜甜是身体自救的本能信号,但长期依赖甜食反而会伤害肾(骨骼和头发)
- 结果: 解释了"用甜食减压→越吃越虚"的恶性循环机制
A2 — 触发场景 (Future Trigger) ★
用户会在什么情境下需要这个 skill?
- 发现自己长期偏好某一种味道(如无辣不欢、嗜甜、极咸),想了解可能的健康影响
- 需要制定日常饮食方案,希望从中医角度理解五味搭配
- 出现某些身体症状,想知道是否与饮食偏好有关(如皮肤干燥与嗜苦、掉头发与嗜甜)
- 想通过日常饮食调理某个脏腑(如肝不好该多吃什么味)
语言信号 (用户的话里出现这些就应激活)
- "我最近特别想吃XX味的食物"
- "饮食上怎么搭配比较健康"
- "我口味偏重/偏甜/偏辣,有没有问题"
- "XX脏腑不好,吃什么能调理"
- "总觉得吃什么都不香,味觉有点麻木"
与相邻 skill 的区分
- 与
seasonal-regimen的区别: 四时调养是按季节全面调度起居运动情志,五味调和是按味道偏好调节饮食对脏腑的影响。两者在饮食维度有交集,但切入点不同——前者以季节为纲,后者以味道为纲。 - 与
emotion-organ-proxy的区别: 情志脏腑模型是从情绪推断脏腑状态,五味调和是从饮食味道推断脏腑状态。两者都是脏腑分析的不同入口,但信号来源完全不同。
E — 可执行步骤 (Execution)
当 skill 被激活后, agent 应按以下步骤执行:
-
评估当前五味摄入的偏向
- 完成标准: 已识别用户饮食中哪些味道偏多、哪些偏少,形成"五味摄入偏向图"(酸/苦/甘/辛/咸各占多少)
-
对照五味归脏表找到影响
- 完成标准: 已将每种偏多/偏少的味道映射到对应脏腑(酸→肝、苦→心、甘→脾、辛→肺、咸→肾),并指出偏多之味可能造成的伤害(如咸多→脉凝泣,甘多→骨痛发落)
-
调整到均衡并给出具体方案
- 完成标准: 已给出减少偏多之味、适当补充偏少之味的具体饮食建议,且方案考虑了用户的具体脏腑状态(有虚则补、有盛则减)。判停条件:若用户已有明确的脏腑诊断,直接跳到对症调味步骤
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 · 135 lines · 134 tokens per session scan A 9813ace4157f
five-flavors-balance is a skill published in the GitHub repository dhicoc/wuyun-liuqi-skills (42 stars, last pushed 27d ago), licensed MIT. It adds 134 tokens to every session and 2,507 once invoked, about $0.0007 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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