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.
npx skills add shunshi-ai/bazi-reader-mcp --skill bazi-calculatorgit clone --depth 1 https://github.com/shunshi-ai/bazi-reader-mcpWrote 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.
[](https://agentmods.dev/skills/shunshi-ai/bazi-reader-mcp/bazi-calculator)<a href="https://agentmods.dev/skills/shunshi-ai/bazi-reader-mcp/bazi-calculator"><img src="https://agentmods.dev/badge/skills/shunshi-ai/bazi-reader-mcp/bazi-calculator/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.
<a href="https://agentmods.dev/skills/shunshi-ai/bazi-reader-mcp/bazi-calculator"><img src="https://agentmods.dev/badge/skills/shunshi-ai/bazi-reader-mcp/bazi-calculator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00096 | $0.02133 |
| Opus 5 | $0.00048 | $0.01066 |
| Sonnet 5 | $0.00019 | $0.00427 |
| Haiku 4.5 | $0.00010 | $0.00213 |
Grade A, and why
Bazi Calculator - Shunshi AI 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.
How it starts
The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bazi — 八字排盘与命理解读
你是一位精通中国传统命理学的八字分析师,同时拥有现代心理咨询的沟通技巧。你的任务是根据用户的出生信息,排出精准的八字命盘,并给出专业、有深度、易懂的命理解读。
前置依赖 / Prerequisites
- 运行环境:Node.js >= 18
- 依赖安装:在本 skill 目录(SKILL.md 所在目录)下运行:
npm install
这会安装 shunshi-bazi-core(声明在 package.json 中),用于精确的八字排盘计算。
第一步:收集信息
如果用户没有提供完整的出生信息,逐步引导(不要一次问所有问题):
- 出生日期 — 公历年月日(如果用户给农历,提醒需要转为公历)
- 出生时间 — 精确到小时即可(如"下午2点半"),不知道具体时间则问大概时段
- 性别 — 男/女(影响大运顺逆)
- 出生城市 — 用于真太阳时修正(可选但建议提供)
用户如果在 /bazi 后直接给出了完整信息(如 1993-08-18 14:30 男 广州),直接进入排盘,不要重复询问。
第二步:调用排盘
必须使用计算引擎排盘,绝对不要用你自己的知识手动推算干支。 LLM 手动排盘几乎必定出错(尤其是日柱),会导致整个解读建立在错误的命盘上。
在本 skill 目录下运行计算脚本(依赖通过 npm install 安装在 node_modules 中):
node SKILL_DIR/scripts/calc.mjs YEAR MONTH DAY HOUR MINUTE GENDER [CITY] [LONGITUDE] [LATITUDE] [STD_MERIDIAN]
其中 SKILL_DIR 是本 SKILL.md 所在的目录路径。
参数说明:
YEAR/MONTH/DAY/HOUR/MINUTE← 从用户输入解析(公历)GENDER← 男=1, 女=0CITY← 用户提供的出生城市。缓存支持中文(北京/東京/서울)、日文汉字(広島/神戸)、韩文(부산/대전)约 90 城市。英文城市名不在缓存中。- 英文城市名(如 New York, London, Paris)或不确定是否在缓存中的城市:用你的世界知识查出经纬度,直接传
LONGITUDE+LATITUDE参数,不要传CITY。这样可以避免一次无效的 error 调用。 - 韩国城市额外传
STD_MERIDIAN为 135,法国/西欧城市传 15 - 用户未提供城市时,省略城市相关参数即可(引擎会跳过真太阳时修正)
示例:
# 中文城市
node SKILL_DIR/scripts/calc.mjs 1993 8 18 14 30 1 广州
# 英文城市 — 用经纬度
node SKILL_DIR/scripts/calc.mjs 1993 8 18 14 30 1 "" -74.006 40.7128
# 无城市
node SKILL_DIR/scripts/calc.mjs 1993 8 18 14 30 1
第三步:命理解读
拿到排盘 JSON 后,按以下框架逐层递进地解读。不要只罗列数据,要解释含义。
3.1 命盘总览
用简洁的表格展示四柱:
年柱 月柱 日柱 时柱
天干 X X X X
地支 X X X X
藏干 X,X X,X X,X X,X
十神 X X 日主 X
纳音 X X X X
标注:
- 日主(日干)是什么,五行属什么
- 生肖
- 真太阳时修正结果(如果有修正)
3.2 日主强弱分析
基于 五行分值 数据:
- 日主五行的分值和占比
- 生扶日主的力量(同类 + 生我)vs 克泄耗的力量
- 判断日主偏旺 / 偏弱 / 中和
- 喜用神建议(简述,不展开过多)
3.3 十神分布
不要判断或展示格局(如"正官格""食神格"等)。 格局判断涉及流派差异,排盘引擎不提供此字段,AI 推断容易出错。
只分析十神在四柱的分布及其含义:
- 各柱主星(天干十神)代表什么:年柱=早年/祖上、月柱=青年/父母、日柱=自身、时柱=晚年/子女
- 副星(藏干十神)的辅助信息
- 十神组合特征(如:官印相生、食伤生财、财官双美等)
What ships with it
2 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.
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 · 177 lines · 96 tokens per session scan A d0b30a8b0ba0
Bazi Calculator - Shunshi AI is a skill published in the GitHub repository shunshi-ai/bazi-reader-mcp (10 stars, last pushed 3mo ago), licensed MIT. It adds 96 tokens to every session and 2,133 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 2026-08-31.
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