zheng-xie-assessment

zheng-xie-assessment is a skill for Claude Code from dhicoc/wuyun-liuqi-skills. It costs 121 tokens per session (2,667 once invoked), scanned A, original, MIT.

A framework for judging whether a problem mainly comes from weak internal capability or excessive outside pressure.

In plain words
What is it for?
Use it to decide whether to strengthen a system, remove obstacles, reduce workload, or combine those approaches when problems keep recurring.
Why use it?
It helps prevent choosing the wrong response: adding resources to a weak system, reducing burdens on an overloaded one, or doing both when both conditions exist.

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 to decide whether to strengthen a system, remove obstacles, reduce workload, or combine those approaches when problems keep recurring.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dhicoc/wuyun-liuqi-skills/zheng-xie-assessment
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 zheng-xie-assessment
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 zheng-xie-assessment

README.md
[![agentmods](https://agentmods.dev/badge/skills/dhicoc/wuyun-liuqi-skills/zheng-xie-assessment/github.svg)](https://agentmods.dev/skills/dhicoc/wuyun-liuqi-skills/zheng-xie-assessment)
Your own site
<a href="https://agentmods.dev/skills/dhicoc/wuyun-liuqi-skills/zheng-xie-assessment"><img src="https://agentmods.dev/badge/skills/dhicoc/wuyun-liuqi-skills/zheng-xie-assessment/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.

agentmods 80×15 button for zheng-xie-assessment

Your own site · 80×15
<a href="https://agentmods.dev/skills/dhicoc/wuyun-liuqi-skills/zheng-xie-assessment"><img src="https://agentmods.dev/badge/skills/dhicoc/wuyun-liuqi-skills/zheng-xie-assessment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 121 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,667 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 $0.00121 $0.02667
Opus 5 $0.00060 $0.01333
Sonnet 5 $0.00024 $0.00533
Haiku 4.5 $0.00012 $0.00267

Measured 12d ago against content hash 7299706cf152, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

zheng-xie-assessment 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/zheng-xie-assessment/SKILL.md · 159 lines

How it starts

The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Zheng-Xie Assessment — 正邪虚实判断框架

R — 原文 (Reading)

正气存内,邪不可干。 — 《黄帝内经·素问》,刺法论篇第七十二

邪之所凑,其气必虚。 — 《黄帝内经·素问》,评热病论篇第三十三

邪气盛则实,精气夺则虚。 — 《黄帝内经·素问》,通评虚实论篇第二十八


I — 方法论骨架 (Interpretation)

面对任何问题,在动手解决之前,先做一次力量对比的定性判断: 是"自身力量不足"(虚),还是"外部压力过盛"(实)?

素问用"正"与"邪"这对概念来搭建这个分析框架: "正"是系统自身的能力、资源、抵抗力; "邪"是外部的压力、干扰、多余负担。 "虚"是正气不够——系统自身薄弱,需要补强; "实"是邪气过盛——外部压力太重,需要削减。

判断的依据是看问题发生在哪里:如果是"邪之所凑"(问题出现在防御薄弱处), 说明本质是虚——应该补;如果是外部压力明确过大导致系统不堪重负, 说明本质是实——应该泻。

虚实判断决定了完全相反的策略方向: 虚则补(增加资源、培训、投入),实则泻(削减压力、去除冗余、减轻负担)。 如果判断反了——虚的当实来泻(本来能力就不够还削减)或实的当虚来补 (本来负担就重还加码)——只会越治越糟。

现实中更多的情况是虚实夹杂:既有自身不足,又有外部过重。 这时需要攻补兼施——同时补正和泻邪,两手并用。


A1 — 书中的应用 (Past Application)

案例 1: 虚实判断与补泻策略

  • 问题: 如何判断病情是虚还是实?该用补法还是泻法?
  • 方法论的使用: 通评虚实论给出了明确定义:"邪气盛则实,精气夺则虚"。实是外部邪气过盛(如急性感染、淤堵),虚是内部精气不足(如慢性虚弱、免疫力低下)。判断准确后,实用泻法(汗、吐、下等祛邪手段),虚用补法(温、养、益等扶正手段)。
  • 结论: 虚实判断是所有后续治疗决策的前提——判断错了方向,后面全错。
  • 结果: 能准确辨别虚实的医生才能"万举万当",不能辨别的则会"虚虚实实"(虚的当实治、实的当虚治),反而加重病情。

案例 2: 正气存内的预防逻辑

  • 问题: 面对疫病流行,为什么有些人感染有些人不感染?
  • 方法论的使用: 刺法论用"正气存内,邪不可干"来解释:外部疫邪(环境压力)固然可怕,但如果自身正气充足,邪气就无法侵入。评热病论补充了反面:"邪之所凑,其气必虚"——凡是病邪能突破的地方,一定是因为那里本身薄弱。
  • 结论: 预防的核心不是消灭所有外部威胁(不可能),而是确保自身正气充足——把薄弱环节加固。
  • 结果: 正气充盛的人即使暴露于疫病环境中也不易感染,正气虚亏的人则首当其冲。

A2 — 触发场景 (Future Trigger) ★

用户会在什么情境下需要这个 skill?

  1. 反复出现的低级错误: 团队/系统反复出现同样的问题,用户需要判断是该加强能力(补虚)还是该削减多余负担(泻实)。
  2. 资源分配的两难: 面对困境,不确定是该"投入更多资源"还是该"砍掉多余的东西"——方向完全相反,需要先做虚实判断。
  3. 精力耗尽却效果不佳: 用户感到已经非常努力但效果越来越差,需要判断是自身方法/能力不足(虚),还是承担了太多不必要的负担(实)。

语言信号 (用户的话里出现这些就应激活)

  • "是该加强还是该精简?"
  • "问题反复出现,到底怎么根治?"
  • "已经很努力了但效果不好"
  • "资源不够还是需求太多了?"
  • "是能力问题还是压力问题?"
  • "越用力越糟糕"

与相邻 skill 的区分

  • negative-feedback 的区别: 正邪虚实是判断"虚(自身不足)还是实(外部过盛)"来决定策略方向,亢害承制是发现"某个力量过度亢盛"来引入制衡。前者是诊断型框架(判断虚实),后者是调控型框架(引入制约)。
  • cascade-prediction 的区别: 正邪虚实聚焦于一个点的力量对比分析(够不够 vs 多不多),传变预测关注的是问题在不同点之间的传播路径。

E — 可执行步骤 (Execution)

当 skill 被激活后, agent 应按以下步骤执行:

  1. 评估正(自身力量)和邪(外部压力)
    • 列出"正":系统的能力、资源、储备、韧性(如团队能力、资金储备、系统冗余度)。
    • 列出"邪":外部压力、干扰、多余负担、有害因素(如不合理的需求、冗余流程、噪音干扰)。
    • 完成标准: 产出"正邪清单",分别列出自身力量和外部压力的具体条目。

Read the full file on GitHub · 159 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 · 159 lines · 121 tokens per session scan A 7299706cf152

Subscribe to this mod's changes

zheng-xie-assessment is a skill published in the GitHub repository dhicoc/wuyun-liuqi-skills (42 stars, last pushed 27d ago), licensed MIT. It adds 121 tokens to every session and 2,667 once invoked, about $0.0006 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.