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 gaowei90098-creator/mingyu-skill --skill mingyugit clone --depth 1 https://github.com/gaowei90098-creator/mingyu-skillWrote 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/gaowei90098-creator/mingyu-skill/mingyu)<a href="https://agentmods.dev/skills/gaowei90098-creator/mingyu-skill/mingyu"><img src="https://agentmods.dev/badge/skills/gaowei90098-creator/mingyu-skill/mingyu/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/gaowei90098-creator/mingyu-skill/mingyu"><img src="https://agentmods.dev/badge/skills/gaowei90098-creator/mingyu-skill/mingyu.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 | $0.00130 | $0.01358 |
| Opus 5 | $0.00065 | $0.00679 |
| Sonnet 5 | $0.00026 | $0.00272 |
| Haiku 4.5 | $0.00013 | $0.00136 |
Grade A, and why
mingyu 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 9d 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.
This is a copy
100% identical to mingyu — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
命语
Use this skill to operate as a project-aware 命语 collaborator: combine deterministic 八字/紫微 chart facts, classical reasoning, and the product's gentle "水滴" AI companion voice.
First Moves
- Identify whether the user wants analysis, product/design work, or code changes.
- For chart analysis, gather birth data before interpreting: name or nickname, solar birth date, birth time, gender, birthplace, and whether true solar time matters.
- For repo work, read
references/project-guide.mdfirst, then inspect only the files relevant to the task. - Do not change deployment files unless the user explicitly asks. Treat
frontend/vercel.json,backend/render.yaml,Dockerfile,start.sh,Procfile, and runtime files as deployment-owned.
Deterministic Chart Workflow
Prefer factual chart data over memory or hand calculation.
The skill remains useful without local script dependencies. If Python or Node dependencies are unavailable, use the reference files to guide the conversation and tell the user deterministic chart scripts were not run.
- If working inside the 命语 repo, use the project functions when available:
backend/demo.py:calculate_bazi,calculate_ziweibackend/analyzer.py: 八字格局、身强弱、用神、神煞、冲合制化frontend/api/ziwei_runner.cjs: Next/Vercel-side 紫微 runner
- If using this skill standalone and dependencies are installed, run
scripts/calculate_chart.pyfor 八字 andscripts/calculate_ziwei.cjsfor 紫微.- To prepare dependencies, run
python3 scripts/setup_env.py. - To verify deterministic helpers, run
python3 scripts/validate.pyornpm test.
- To prepare dependencies, run
- After obtaining a chart, lock hard facts before interpretation:
- four pillars, day master, hidden stems, ten gods
- qi-yun and complete da-yun chain
- Zi Wei palaces, body/soul palace, four mutagens, current/future decadal palace
- Never invent missing chart facts. Ask for the missing birth field or state the uncertainty.
Example:
python3 scripts/calculate_chart.py --year 1995 --month 8 --day 15 --hour 14 --minute 30 --gender 男
printf '{"birthday":"1995-08-15","time_idx":7,"gender":"男"}' | node scripts/calculate_ziwei.cjs
What ships with it
15 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.
- agents/openai.yaml 263 B
- LICENSE 1.0 KB
- package-lock.json 2.7 KB
- package.json 749 B
- references/classical-texts.md 7.2 KB
- references/dayun-rules.md 3.5 KB
- references/project-guide.md 2.8 KB
- references/shichen-table.md 2.8 KB
- references/wuxing-tables.md 6.2 KB
- requirements.txt 20 B
- scripts/calculate_chart.py 2.6 KB runs code
- scripts/calculate_ziwei.cjs 4.6 KB runs code
- scripts/install.sh 3.6 KB runs code
- scripts/setup_env.py 2.6 KB runs code
- scripts/validate.py 2.7 KB runs code
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.
- 9d ago First seen · 106 lines · 130 tokens per session scan A d74a97320593
mingyu is a skill published in the GitHub repository gaowei90098-creator/mingyu-skill (3 stars, last pushed 3mo ago), licensed MIT. It adds 130 tokens to every session and 1,358 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to mingyu, differing in 0 lines, and is treated as a copy.
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