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-thought-09-yixiao-traceabilitygit 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-thought-09-yixiao-traceability)<a href="https://agentmods.dev/skills/metago-ai/metagolifeform/metago-thought-09-yixiao-traceability"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-thought-09-yixiao-traceability/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-thought-09-yixiao-traceability"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-thought-09-yixiao-traceability.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 | $0.00068 | $0.01038 |
| Opus 5 | $0.00034 | $0.00519 |
| Sonnet 5 | $0.00014 | $0.00208 |
| Haiku 4.5 | $0.00007 | $0.00104 |
Grade A, and why
metago-thought-09-yixiao-traceability 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.
What it actually says
易霄溯源论 V16.3
描述
通过时间、空间、因果、价值、意义五大维度对任意事物进行深度溯源,揭示其起源、演化、关联、价值与深层意义,构建全景式的溯源认知体系。
触发条件
- 需要追溯事物的根本起源
- 进行根因分析或知识考古
- 探究某概念/技术/现象的价值本源
- 需要理解事物的深层意义
前置条件
- 明确的溯源对象
- 可获取的历史/上下文信息
元思想核心
五维溯源模型:
| 维度 | 原理 | 核心问题 | 溯源方法 |
|---|---|---|---|
| 时间溯源 | 时间原理 | 它从何时开始?演化路径如何? | 时间线回溯、阶段划分 |
| 空间溯源 | 空间原理 | 它从何处起源?如何扩散? | 空间图谱、传播路径 |
| 因果溯源 | 因果原理 | 它因何而生?根因是什么? | 五问法、因果链分析 |
| 价值溯源 | 价值原理 | 它为什么有价值?价值从何而来? | 价值链分析、需求溯源 |
| 意义溯源 | 意义原理 | 它的深层意义是什么? | 现象学还原、本质直观 |
溯源深度公式:
溯源深度 D = w1*T + w2*S + w3*C + w4*V + w5*M
- T/S/C/V/M 分别为五维溯源得分(0-1)
- 默认等权 w=0.2,可根据需要调整
溯源收敛条件:
- 当回溯到"第一因"(不可再追溯的根因)时,溯源收敛
- 收敛点 D >= 0.8 为深度溯源
- 收敛点 D < 0.5 为浅层溯源
推理框架
步骤 1:时间溯源
- 绘制事物的时间演化线
- 识别关键转折点
- 追溯到最早可考的起源点
步骤 2:空间溯源
- 绘制事物的空间分布图谱
- 追溯起源地与传播路径
- 识别空间扩散的模式
步骤 3:因果溯源
- 用五问法(连续追问 5 个为什么)
- 构建因果链
- 找到第一因(不可再追溯的根因)
步骤 4:价值溯源
- 分析事物的价值来源
- 追溯价值链的上游
- 识别价值的本质基础
步骤 5:意义溯源
- 进行现象学还原(剥离表层,直抵本质)
- 探究事物的存在意义
- 揭示深层目的
步骤 6:综合溯源报告
- 汇总五维溯源结果
- 计算溯源深度 D
- 识别五维之间的交叉验证点
验证方法
- 五维溯源是否全部完成(无遗漏维度)
- 时间溯源是否有可考据的时间点
- 因果溯源是否到达第一因(不可再追溯)
- 价值溯源是否区分了工具性价值与内在价值
- 意义溯源是否超越了表层功能描述
- 五维结果是否交叉一致(非矛盾)
- 溯源深度 D 是否 >= 0.8(深度溯源)
- 用已知历史案例回测:溯源结果是否与学术共识一致
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 · 92 lines · 68 tokens per session scan A 7e0e1973eb31
metago-thought-09-yixiao-traceability is a skill published in the GitHub repository metago-ai/metagolifeform (4 stars, last pushed 11d ago), licensed MIT. It adds 68 tokens to every session and 1,038 once invoked, about $0.0003 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 2026-09-03.
Other skills, from other repositories
extract
Run the full Semantica semantic extraction pipeline on a file or selected text — NER, relations, events, coreference resolution, triplets, and validation. Clears result cache before each run. Returns Markdown tables with entity/relation/event/triplet results and inline validator warnings.
dd-synthesis
Synthesize findings from multiple specialist agents into a coherent investment recommendation. Use when combining reports from 9+ specialist agents into a single decision document.
loop-orchestration
Reference loop-orchestration example; a local loop host chains governed runx turns through receipts, budgets, context, and stop policy.
issue-intake
Turn a noisy inbound request into a bounded intake artifact and an explicit next runx lane.
slack-notify
Plan a digest-bound Slack notification, then deliver the exact approved channel post through any compatible Slack binding with provider readback.
sign-receipt
Bind an off-runtime action claim to opaque evidence references in a signed Runx receipt without pretending Runx verified the external action.