What is excess-deficiency-decision?

A decision framework for correcting an imbalance by first deciding whether something is lacking or excessive, then choosing whether to increase or reduce it. It also covers cautious handling when the whole system is weak.

Use it when a project, process, or organization has opposing strengths and weaknesses and needs a correction direction. It helps compare adding, removing, or applying a gentler intervention.

It addresses uncertainty about whether to invest more, withdraw resources, strengthen a weak area, or reduce an excessive one—and warns that choosing the wrong direction can worsen the problem.

excess-deficiency-decision — Skill for Claude Code by dhicoc

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 excess-deficiency-decision

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/dhicoc/wuyun-liuqi-skills/excess-deficiency-decision/github.svg)](https://agentmods.dev/skills/dhicoc/wuyun-liuqi-skills/excess-deficiency-decision)

Your own site

<a href="https://agentmods.dev/skills/dhicoc/wuyun-liuqi-skills/excess-deficiency-decision"><img src="https://agentmods.dev/badge/skills/dhicoc/wuyun-liuqi-skills/excess-deficiency-decision/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/dhicoc/wuyun-liuqi-skills/excess-deficiency-decision"><img src="https://agentmods.dev/badge/skills/dhicoc/wuyun-liuqi-skills/excess-deficiency-decision.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 91 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,926 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.

Model	Per session	Once invoked
Fable 5.1	$0.00091	$0.01926
Opus 5	$0.00046	$0.00963
Sonnet 5	$0.00018	$0.00385
Haiku 4.5	$0.00009	$0.00193

Measured 12d ago against content hash d6ec2f84bd39, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

excess-deficiency-decision 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/lingshu/excess-deficiency-decision/SKILL.md · 136 lines

How it starts

The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.

虚实补泻决策框架

R — 原文 (Reading)

凡用针者, 虚则实之, 满则泄之, 宛陈则除之, 邪胜则虚之。徐而疾则实, 疾而徐则虚。言实与虚, 若有若无。形气不足病气有余, 急泻之; 形气有余病气不足, 急补之。

— 黄帝/岐伯, 九针十二原第一、根结第五

I — 方法论骨架 (Interpretation)

虚实补泻是一个用于判断失衡方向并选择纠正策略的二元决策框架。

其核心操作分为三层:

判虚实: 判断问题是"不足"(虚——缺乏、薄弱、不够)还是"有余"(实——过剩、过盛、淤积)。这是方向判断——虚则补(增益), 实则泻(削减)。方向错了比不干预更糟。
补泻有别: 补和泻不是简单的"加和减"。补是"徐而疾则实"——慢慢积累然后快速收效; 泻是"疾而徐则虚"——快速祛除然后慢慢恢复。操作节奏不同。
多信号综合判断: 当外在表现(形气)和问题本身(病气)的虚实不一致时, "急泻之"或"急补之"——以问题本身的虚实为优先依据, 外在表现为参考。
方向决定一切: "虚而泻之则经脉空虚, 血气竭枯; 满而补之则阴阳四溢"——方向错误比力度不足更致命。

A1 — 书中的应用 (Past Application)

案例 1: 形气与病气的虚实不一致

问题: 如何处理外在体质(形气)和实际病况(病气)虚实不一致的情况?
方法论的使用: "形气不足, 病气有余, 是邪胜也, 急泻之"——虽然体质弱但病邪盛, 此时反而要泻(祛邪)。"形气有余, 病气不足, 急补之"——虽然体质壮但正气不足, 此时反而要补(扶正)。
结论: 不能简单看"体强则泻、体弱则补", 而要看"问题本身的虚实方向"。
结果: 避免了"体弱就补"的教条错误, 实现精准的方向决策。

案例 2: 阴阳俱不足时的保守策略

问题: 当系统全面虚弱("阴阳气俱不足"), 既不实也不盛, 怎么办?
方法论的使用: "不可刺之, 刺之则重不足"——不能泻也不能强补, "可将以甘药"——用温和的调理代替强力的补泻。
结论: 当系统全面虚弱时, 任何方向的强力干预都是危险的, 需要温和调理。
结果: "重不足则阴阳俱竭"——避免了过度干预导致的全面崩溃。

A2 — 触发场景 (Future Trigger) ★

用户会在什么情境下需要这个 skill?

方向迷茫: 面对失衡不知"该加还是该减""该投入还是该撤出"。
越处理越严重: 干预后问题反而加重, 可能是补泻方向错了。
两极失衡: 系统明显出现一方过强一方过弱, 需要判断纠正方向。

语言信号

"不知道该加强还是该削减"
"越补越虚/越减越乱"
"一边过剩一边不足"
"系统在两个极端之间摇摆"

与相邻 skill 的区分

与 qi-regulation 的区别: 调气治本是"为什么要干预功能", 虚实补泻是"怎么干预(补还是泻)"。
与 root-cause-priority 的区别: 虚实补泻解决"方向"(补/泻), 标本根结解决"顺序"(先治哪个)。

E — 可执行步骤 (Execution)

列出失衡的两极
- 明确系统中的对立两方(如: 进攻vs防守、产出vs质量、速度vs安全)。
- 完成标准: 两极定义清晰, 不混用不同维度。
判虚实方向
- 评估每方是"过盛"还是"不足"。区分"绝对过盛"和"相对过盛"(一方正常但另一方不足导致失衡)。
- 完成标准: 给出明确判断——"X虚Y实"或"X正常Y不足"。
- 判停条件: 如果两方都虚(全面不足), 跳到步骤4的保守策略。
确定补泻方向
- 实则泻(削减过盛方), 虚则补(增益不足方)。优先纠正不足方, 因为"虚者恢复"比"实者削减"更根本。
- 完成标准: 给出明确的"补X/泻Y"方向和至少1个具体动作。
注意边界情况
- 全面虚弱: 不可强力补泻, 改用温和调理。
- 表面矛盾: 外在表现与实际虚实不一致时, 以实际问题为依据。
- 完成标准: 识别并标注边界情况。

B — 边界 (Boundary) ★

不要在以下情况使用此 skill

没有对立面: 如果问题只有单一维度, 没有对立面可以对比, 虚实框架无法展开。
纯平衡评估: 用户只是想知道"是否平衡", 不需要决定纠正方向。

Read the full file on GitHub · 136 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.

12d ago First seen · 136 lines · 91 tokens per session scan A d6ec2f84bd39

Subscribe to this mod's changes

excess-deficiency-decision is a skill published in the GitHub repository dhicoc/wuyun-liuqi-skills (42 stars, last pushed 27d ago), licensed MIT. It adds 91 tokens to every session and 1,926 once invoked, about $0.0005 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.

Planning 公众号

excess-deficiency-decision