five-flavors-balance

five-flavors-balance is a skill for Claude Code from dhicoc/wuyun-liuqi-skills. It costs 134 tokens per session (2,507 once invoked), scanned A, original, MIT.

A traditional Chinese medicine approach to balancing the five basic tastes—sour, bitter, sweet, pungent, and salty—in food.

In plain words
What is it for?
Use it when planning food combinations, discussing strong taste preferences, or asking about diet-based ways to adjust bodily states.
Why use it?
It provides a framework for discussing how eating too much of one taste or adjusting tastes to a reported condition may affect health.

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

Good fit Use it when planning food combinations, discussing strong taste preferences, or asking about diet-based ways to adjust bodily states.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dhicoc/wuyun-liuqi-skills/five-flavors-balance
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 five-flavors-balance
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 five-flavors-balance

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

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Per session 134 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,507 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 $0.00134 $0.02507
Opus 5 $0.00067 $0.01254
Sonnet 5 $0.00027 $0.00501
Haiku 4.5 $0.00013 $0.00251

Measured 12d ago against content hash 9813ace4157f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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.

scripts/lib/neijing_snapshot/suwen/five-flavors-balance/SKILL.md · 135 lines

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?

  1. 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
  2. 需要制定日常饮食方案,希望从中医角度理解五味搭配
  3. 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)
  4. 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

  • 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。
  • 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:

  1. 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)
  2. 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)
  3. 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

Read the full file on GitHub · 135 lines

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. 12d ago First seen · 135 lines · 134 tokens per session scan A 9813ace4157f

Subscribe to this mod's changes

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.