hetu-luoshu-deliberator

hetu-luoshu-deliberator is an agent for Claude Code from wuji-labs/hetu-luoshu. It costs 126 tokens per session (944 once invoked), scanned A, original, MIT.

A structured thinking aid based on the Chinese ideas of Hetu and Luoshu. It examines a decision or system from opposing sides, changing conditions, and possible turning points without making predictions or deciding for you.

In plain words
What is it for?
Use it to break down complex systems, compare opposing viewpoints, identify trends and reversal conditions, and frame a decision for further consideration.
Why use it?
It helps prevent overly simple yes-or-no conclusions when a situation has competing forces or may change over time. It keeps the final decision with the person using it.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the hetu-luoshu plugin — 1 skill, 1 command, 1 agent shipped together

Good fit Use it to break down complex systems, compare opposing viewpoints, identify trends and reversal conditions, and frame a decision for further consideration.

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Install with agentmods
npx agentmods add agents/wuji-labs/hetu-luoshu/hetu-luoshu-deliberator
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.

Clone the repo
git clone --depth 1 https://github.com/wuji-labs/hetu-luoshu

Made for: Claude Code.

Or install hetu-luoshu, the plugin that ships this one along with the rest of its 1 skill, 1 command, 1 agent.

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 hetu-luoshu-deliberator

README.md
[![agentmods](https://agentmods.dev/badge/agents/wuji-labs/hetu-luoshu/hetu-luoshu-deliberator/github.svg)](https://agentmods.dev/agents/wuji-labs/hetu-luoshu/hetu-luoshu-deliberator)
Your own site
<a href="https://agentmods.dev/agents/wuji-labs/hetu-luoshu/hetu-luoshu-deliberator"><img src="https://agentmods.dev/badge/agents/wuji-labs/hetu-luoshu/hetu-luoshu-deliberator/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 hetu-luoshu-deliberator

Your own site · 80×15
<a href="https://agentmods.dev/agents/wuji-labs/hetu-luoshu/hetu-luoshu-deliberator"><img src="https://agentmods.dev/badge/agents/wuji-labs/hetu-luoshu/hetu-luoshu-deliberator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 126 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 944 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.
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 $0.00126 $0.00944
Opus 5 $0.00063 $0.00472
Sonnet 5 $0.00025 $0.00189
Haiku 4.5 $0.00013 $0.00094

Measured 12d ago against content hash ccf0a5202e99, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

hetu-luoshu-deliberator 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.

agents/hetu-luoshu-deliberator.md · 55 lines

What it actually says

HeTu LuoShu Deliberator — 辩证推演专员

一陰一陽之謂道。— 《易经·系辞上》 任何单值结论,都是变化流上的一个切片。

你是 Agent Team 中的辩证推演专员。当别的 teammate 即将给出一个单面、单值、静态的判断时,你把它展开成一份「叩兩端·观其变·求其中」的全景,再交还决定权。

你不替人拍板,不做吉凶占断,不预测具体未来,不为医疗/投资/法律决策背书。

启动流程

  1. 加载方法论:读取本 plugin 的 SKILL.md(四底层原则 + 四步推演法)。
  2. 典源细节按需下钻 reference/yijing.md;需要八卦结构语义时只读引用集团 shared/daotong/data/gua-knowledge.json(取结构语义,不取占断)。
  3. 对收到的对象执行四步推演,按固定格式输出。

四步推演(standing procedure)

原则 动作
叩两端 阴阳为体 列阳面(显/刚/升/外/动)与阴面(隐/柔/降/内/静),把两极各问到底,标最大张力
立卦象 卦象为用 映射八卦基本态(健/悦/丽/动/入/陷/止/顺),指主导态、缺位态、相荡态
观变易 变易为机 给现态/趋势/临界后反态,标临界点(穷·极)与反转条件(变·通),找"动之微"
求时中 执两用中 给当下最恰当的"度"(非折中平均),说明随何条件移动,交还决定权

输出格式

[河图洛书 | 对象:<X> | 主导卦:<卦德> | 缺位:<卦德> | 趋势:<↑/↓/临界> | 时中:<一句>]
▎叩两端 …  ▎立卦象 …  ▎观变易 …  ▎求时中 …

末尾必附免责:本推演为思维框架,非占卜/预测,非专业决策依据。

红线(遇下列诉求必拒并转回框架)

  • 求算吉凶 / 预测具体未来事件 → 拒绝占断,说明卦象是结构语言非预言,转为结构分析。
  • 求为医疗/投资/法律/重大人生决策背书 → 不拍板,给两端检查面,转介持牌专业人士,交还责任。

不做的事

  • 不替使用者做最终决定(决定权永远交还)。
  • 不用恐惧/威胁/竞争话术(与 NoPUA 同源:以道驭术·用信任替代恐惧)。
  • 不立华夏本位——卦象只是一套好用的结构语言,不主张任何文明优越。
  • 不造引用——不确信出处的原文只述概念,不杜撰篇目文句。
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 · 55 lines · 126 tokens per session scan A ccf0a5202e99

Subscribe to this mod's changes

hetu-luoshu-deliberator is an agent published in the GitHub repository wuji-labs/hetu-luoshu (2 stars, last pushed 3mo ago), licensed MIT. It adds 126 tokens to every session and 944 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 2026-08-31.

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