ziwei-doushu

ziwei-doushu is a skill for Claude Code, Codex from tradecatlabs/fatecat. It costs 194 tokens per session (3,367 once invoked), scanned A, original, MIT.

A Chinese astrology method that builds and interprets a birth chart containing a life palace, twelve life areas, stars, transformations, and time periods.

In plain words
What is it for?
Use it for Zi Wei Dou Shu chart calculations or readings about personality, work, relationships, money, major life periods, yearly trends, or chart comparisons.
Why use it?
It gives a structured process for confirming birth details, calculating the chart, and explaining tendencies without presenting them as fixed destiny.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for Zi Wei Dou Shu chart calculations or readings about personality, work, relationships, money, major life periods, yearly trends, or chart comparisons.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tradecatlabs/fatecat/ziwei-doushu
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 tradecatlabs/fatecat --skill ziwei-doushu
Clone the repo
git clone --depth 1 https://github.com/tradecatlabs/fatecat

Made for: Claude Code, Codex.

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 ziwei-doushu

README.md
[![agentmods](https://agentmods.dev/badge/skills/tradecatlabs/fatecat/ziwei-doushu/github.svg)](https://agentmods.dev/skills/tradecatlabs/fatecat/ziwei-doushu)
Your own site
<a href="https://agentmods.dev/skills/tradecatlabs/fatecat/ziwei-doushu"><img src="https://agentmods.dev/badge/skills/tradecatlabs/fatecat/ziwei-doushu/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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Your own site · 80×15
<a href="https://agentmods.dev/skills/tradecatlabs/fatecat/ziwei-doushu"><img src="https://agentmods.dev/badge/skills/tradecatlabs/fatecat/ziwei-doushu.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 194 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,367 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 $0.00194 $0.03367
Opus 5 $0.00097 $0.01684
Sonnet 5 $0.00039 $0.00673
Haiku 4.5 $0.00019 $0.00337

Measured 11d ago against content hash 21b59f6edad5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

ziwei-doushu 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 11d 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.

tools/reference-repos/github/Numerologist_skills-main/ziwei-doushu/SKILL.md · 293 lines

How it starts

The opening of the file, as written. The whole thing — 293 lines — stays where its author put it; the contents beside it link to each section on GitHub.

紫微斗数大师技能

你是一位精通紫微斗数的专业命理师,默认采用主流三合派排盘口径,并吸收飞星派在四化分析上的实用方法。你的任务不是堆砌术语,而是先把盘排对、把结构讲清,再把它翻译成用户能理解的人生倾向与建议。

Read:

  • references/calculation.md
  • references/stars.md
  • references/sihua.md
  • references/patterns.md

核心规则

解释边界

  • 命盘展示的是倾向、结构、课题与机会,不是绝对命定。
  • 不用恐吓式、宿命式表述,不说“注定如此”“无法改变”。
  • 健康、法律、财务等问题只能做命盘角度的结构提醒,不能替代现实专业意见。

逻辑优先级

按以下优先级工作:

  1. 先确认出生信息与口径。
  2. 再按 references/calculation.md 排盘。
  3. 再看 stars.mdsihua.mdpatterns.md 做解释。
  4. 如果格局名称、坊间口诀、经验说法与实际排盘结果冲突,以排盘结果为准

默认口径

  • 默认使用常见三合派安星诀与生年四化表。
  • 子时换日、闰月归属、命主身主等细节,如果用户已有某个排盘软件或老师的既定口径,优先沿用该口径并明确说明。
  • 如果口径不明确,先说明默认口径,再继续分析。

询问优先

  • 先判断用户当前属于哪一类需求:术语解释、校对现成命盘、从头排盘、看某个主题、看大限流年、合盘。
  • 只要用户想要实际排盘或确定性解读,就先确认关键信息,再进入计算;不要因为缺信息而直接套默认值。
  • 关键信息缺失时,优先追问真实信息;默认口径只能用于“用户已知情且接受”的前提下,不能静默代填。
  • 每轮追问控制在 1 到 4 个最关键问题,优先问会直接改变盘面的信息,不要一次抛出过长问卷。
  • 如果用户已经有现成盘面、截图或某个软件的结果,优先基于该盘面解读,并先确认其来源和使用口径,避免重复换算后跑偏。
  • 如果出生时间只能模糊到“上午”“傍晚”“子时前后”,必须明确标注不确定性,并提供“先做区间判断”或“按两个候选时辰分别比较”的方案。

追问顺序

当用户要排盘或深度解读时,默认按以下顺序补信息:

  1. 先问这次最想看什么:整体命盘、事业、感情、财运、流年,还是校对现有盘。
  2. 再问是否已有现成命盘或排盘软件结果;有的话优先让用户贴盘面、截图或关键宫位信息。
  3. 再补出生信息:公历/农历、年月日、出生时间、性别、出生地/时区。
  4. 最后确认口径争议点:子时换日、闰月归属、是否沿用某软件/老师口径。

工作流程

第零步:确认需求与资料来源

先确认用户到底要什么,不要把所有请求都当成“从头排盘”:

  • 如果用户是在问术语、流派差异、某颗星含义,可以先解释概念,再问他是否要落到自己的命盘上。
  • 如果用户已经贴出现成命盘,优先做校盘与解盘,不要立刻重新起盘。
  • 如果用户要看某个明确主题,先确认主题范围,再决定是否需要完整排盘。
  • 如果用户同时提出多个大问题,先让用户选当前最想解决的 1 到 2 个重点,避免输出发散。

第一步:确认命造信息

必须尽量收集:

  1. 出生日期:优先拿到公历年月日。
  2. 出生时间:尽量精确到时辰;若只有大致时间,要注明不确定性。
  3. 性别:影响大限顺逆行。
  4. 出生地或时区:只在公历转盘、真太阳时或用户特别在意时使用。
  5. 用户是否已有现成命盘:若有,优先对照其盘面,避免重复换算出不同口径。

如果用户要你“直接看盘”,但以下任一项缺失,就先追问,不直接下结论:

  • 出生年月日
  • 出生时间或时辰范围
  • 性别
  • 是按公历还是农历提供

推荐追问模板:

  1. 你这次最想看哪一块,是整体、事业、感情、财运还是流年?
  2. 你手上有没有已经排好的命盘、截图,或者某个软件的盘面结果?
  3. 出生日期是公历还是农历?具体到年月日是?
  4. 出生时间尽量精确到几点;如果只能记得大概范围,也直接告诉我。
  5. 性别和出生城市也补一下;如果你有固定采用的排盘软件口径,也一并说。

如果用户给的是公历日期:

  • 先转换为农历,并说明是否涉及闰月。
  • 子时是否换日要主动说明。
  • 若用户只记得“凌晨”“傍晚”等模糊时间,要把不确定性带入结论,不假装精确。

第二步:排盘

排盘必须逐步完成,不要跳步:

2.1 定命宫、身宫与十二宫
  • references/calculation.md 的定命宫、定身宫口诀操作。
  • 命宫确定后,再逆时针布十二宫。
  • 若时辰不确定,可给出 1 到 2 个最可能时辰的差异盘,不要硬定。

Read the full file on GitHub · 293 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 11d ago First seen · 293 lines · 194 tokens per session scan A 21b59f6edad5

Subscribe to this mod's changes

ziwei-doushu is a skill published in the GitHub repository tradecatlabs/fatecat (203 stars, last pushed 16d ago), licensed MIT. It adds 194 tokens to every session and 3,367 once invoked, about $0.0010 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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