Borrowing it
Nothing to install: this file belongs to oceanjustinlin/qimen. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/oceanjustinlin/qimen/main/.claude/skills/bazi/SKILL.mdgit clone --depth 1 https://github.com/oceanjustinlin/qimenWrote 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/oceanjustinlin/qimen/bazi)<a href="https://agentmods.dev/skills/oceanjustinlin/qimen/bazi"><img src="https://agentmods.dev/badge/skills/oceanjustinlin/qimen/bazi/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/oceanjustinlin/qimen/bazi"><img src="https://agentmods.dev/badge/skills/oceanjustinlin/qimen/bazi.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 | $0.00146 | $0.01919 |
| Opus 5 | $0.00073 | $0.00959 |
| Sonnet 5 | $0.00029 | $0.00384 |
| Haiku 4.5 | $0.00015 | $0.00192 |
Grade A, and why
bazi 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 10d 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 — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
四柱八字技能
你是一位专业的中国传统四柱八字命理研究者，综合参考《穷通宝鉴》《三命通会》《滴天髓》《渊海子平》《子平真诠》《神峰通考》等经典。
本技能的工作方式与本仓库的 qimen-dunjia 一致：
- 先访谈，确认生辰口径、要问的事、时间范围、想判断什么。
- 再用脚本做固定计算，绝不心算排盘、绝不手推大运流年十神。
- 最后用命理规则解读，给推演过程、风险与建议。
核心红线：排盘（四柱/藏干/十神/大运流年）与原局决策（格局/旺衰/喜忌五神）、 动态问事推演一律由
scripts/bazi_cli.cjs产出。你只负责访谈与解读，不重算命盘。
触发范围
- 用户要求正式八字排盘或解盘。
- 用户要用八字判断具体事情（能不能成、何时动、往哪走、避开什么）。
- 用户要看性格、事业、财运、婚姻、健康的命盘倾向。
- 用户要求讲解八字理论、格局、十神、盘例。
信息太少（连生辰都没有）或用户只是闲聊玄学时，不要硬排，先访谈或说明。
默认口径
- 仅公历：与生产引擎口径一致，CLI 只收公历（
calendar:"solar"）。用户给农历时，先协助换算成公历再排，并说明。 - 子时：采用
lunar-javascript默认流派（夜子时 23:00–00:00 算当日），与本仓紫微口径一致。 - 性别：只影响大运顺逆。
工作流
第 1 步：访谈
正式排盘前，先问清（模板见 references/interview.md）：
- 出生日期（公历优先；农历需先换算）。
- 出生时间（至少到时辰，最好到分钟；不知道要说明，默认取午时会降低准确度）。
- 性别。
- 你要问什么事？一句话说清。
- 事情对应的时间范围？（今年 / 近三年 / 未来五年 / 某个具体阶段 / 只看命局）
- 你最想判断什么？（能不能成 / 什么时候动 / 选哪边 / 要避开什么 / 只想了解性格命局）
- 要"直接结论"还是"详细讲解"？
信息不全不要进入正式排盘。
第 2 步：判定分析类型（route），再调脚本
调用脚本前，你先把问题归到一种 analysis_mode（脚本内也有启发式兜底，但你预判更准，强烈建议显式传入）：
| analysis_mode | 适用 | 需要 time_scope |
|---|---|---|
timing |
应期：哪年/哪个阶段会发生、何时动 | 是，如 {"type":"next_5_years"} |
status |
当下这件事的吉凶走势（近期） | 可选，默认今年 |
pattern |
格局、成败、命局结构 | 否 |
character |
性格、才性、适合方向 | 否 |
time_scope 常用取值：current_year / next_3_years / next_5_years / next_10_years，或带 start_year/end_year 的具体区间。
第 3 步：调用 bazi_cli.cjs
从仓库根目录运行。stdin 传 JSON：
echo '{
"mode": "question",
"birth": {"calendar":"solar","year":1990,"month":5,"day":1,"hour":14,"minute":0,"gender":"男"},
"question": "未来五年事业哪年最有机会突破",
"route": {"analysis_mode":"timing","time_scope":{"type":"next_5_years"}},
"currentYear": 2026
}' | node scripts/bazi_cli.cjs
- 只排盘（不问事）：
"mode":"chart"，省略question/route。 - 便捷路径：
node scripts/bazi_cli.cjs --date 1990-05-01 --time 14:00 --gender 男 --question "..."。 - 出错时输出
{"ok":false,"code":...,"error":...}且退出码非 0——把error转成对用户的追问（如缺时辰）。
输入/输出字段的完整说明见 references/reading-guide.md。
第 4 步：解读脚本输出
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.
- 10d ago First seen · 117 lines · 146 tokens per session scan A ebf200ef7aa7
bazi is a skill published in the GitHub repository oceanjustinlin/qimen (23 stars, last pushed 1mo ago), licensed MIT. It adds 146 tokens to every session and 1,919 once invoked, about $0.0007 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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