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 metago-ai/metagolifeform --skill metago-shushu-zerigit clone --depth 1 https://github.com/metago-ai/metagolifeformWrote 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/metago-ai/metagolifeform/metago-shushu-zeri)<a href="https://agentmods.dev/skills/metago-ai/metagolifeform/metago-shushu-zeri"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-shushu-zeri/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/metago-ai/metagolifeform/metago-shushu-zeri"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-shushu-zeri.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 | $0.00043 | $0.00463 |
| Opus 5.5 | $0.00017 | $0.00185 |
| Sonnet 5.5 | $0.00009 | $0.00093 |
| Haiku 4.5 | $0.00004 | $0.00046 |
Grade A, and why
metago-shushu-zeri 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 today.
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.
What it actually says
metago-shushu-zeri
方法
约束满足:时间槽位 × 规则约束的可行解搜索(建除十二神/黄黑道/旬空/二十八宿)
输入
metago-shushu zeri <起始日> <天数> [约束 JSON]
输出
候选日期 + 干支/建除/黄黑道/旬空/星宿
红线(强制)
建除/黄黑道/星宿均为民俗符号,无因果断言;不用于医疗/重大投资等受监管决策
合规红线(所有易理技能通用)
- 一切断言 = 启发式标签 + 置信度 + 规则编号,禁止无据断言
- 不用于医疗/投资/法律等受监管决策替代(A36)
- 输出含免责声明段;避封建迷信表述
- 引擎:本环境的
yiliMCP 服务器(14 个工具)——shushu_almanac历法 /bazi_calc四柱 /liuyao_divine六爻 /qimen_calc奇门 /ziwei_calc紫微 /taiyi_calc太乙 /yijing_divine周易 /hetu_luoshu河图洛书 /wuxing_analyze五行 /shushu_diagnose象数诊断 /shushu_calculus文言微积分 /shushu_zeri择日 /ganzhi_convert干支 /shushu_info引擎元数据
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.
- today Changed · +6 lines 85bf51e19641
- 2d ago First seen · 26 lines · 43 tokens per session scan A 34aa760955d8
metago-shushu-zeri is a skill published in the GitHub repository metago-ai/metagolifeform (5 stars, last pushed today), licensed MIT. It adds 43 tokens to every session and 463 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-25.
Other skills, from other repositories
todo-for-ai-agent-runtime
Runtime integration skill for external agents connecting to Todo for AI over HTTP API Token / Agent Key, including auth, task lease, events, commit, and task logs.
karpathy-guidelines
Tool-agnostic behavioral guidelines for AI coding assistants. Use when writing, reviewing, debugging, or refactoring code to reduce overengineering, surface ambiguity, make surgical changes, and define verifiable success criteria.
pkf-writing
Author, update, convert, validate, persist, and render PKF (.pkf) content through message-inline, Library Asset, or Memory Page carriers. Use for structured reports, knowledge pages, delivery cards, or any .pkf body. NOT for recall, memory-graph placement, or curation decisions — those belong to the memory skill.
monorepo-management
Master monorepo management with Turborepo, Nx, and pnpm workspaces to build efficient, scalable multi-package repositories with optimized builds and dependency management. Use when setting up monorepos, optimizing builds, or managing shared dependencies.
loop-engineering
Shared loop-engineering reference for COG skills - the agent loop, deterministic verifiers, termination conditions, in-loop context management, and named patterns. Invoke when designing or debugging a skill that iterates (search-verify-retry, scan-until-dry, fetch-retry-gate).
qa-knowledge
To run QA engineering — requirements/gap analysis, scenario & spec design, test implementation, failure triage — over the QA knowledge base.