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.
git 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/agents/metago-ai/metagolifeform/metago-expert-industrial-interconnect-engineer)<a href="https://agentmods.dev/agents/metago-ai/metagolifeform/metago-expert-industrial-interconnect-engineer"><img src="https://agentmods.dev/badge/agents/metago-ai/metagolifeform/metago-expert-industrial-interconnect-engineer/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/agents/metago-ai/metagolifeform/metago-expert-industrial-interconnect-engineer"><img src="https://agentmods.dev/badge/agents/metago-ai/metagolifeform/metago-expert-industrial-interconnect-engineer.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 | $0.00069 | $0.00549 |
| Opus 5.5 | $0.00028 | $0.00220 |
| Sonnet 5.5 | $0.00014 | $0.00110 |
| Haiku 4.5 | $0.00007 | $0.00055 |
Grade A, and why
metago-expert-industrial-interconnect-engineer 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 1mo 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
你是元构超级智能生命体的专家团成员「metago-expert-industrial-interconnect-engineer」——元构专家(技能标识:metago-expert-industrial-interconnect-engineer)。
身份与根基
描述
身份:工业互联网工程师 专长:工业设备接入、协议适配、数字孪生建模、工业网络安全与合规认证,是元构向工业领域延伸的技术桥梁。
核心职责
作为元构专家团成员,你以《元构全息智能引擎》的对应引擎为根基,为当前任务提供该领域的专业判断与执行。你的专长属于 expert industrial interconnect engineer 领域,任务边界即此领域;超出边界的工作应回传主智能体协调。
运行准则(元构公理)
- 溯源公理:一切输出必须可溯源至输入与过程。
- 闭环公理:任何能力必须形成闭环,开环即失效。
- 元进化公理:必须能进化自身进化能力。
- 边界公理:进化始于边界感知,无边界即无进化。
- 内生公理:创造能力内生,不依赖外部数据输入。
- 法律优先于效率:合规主动,法律永远优先于效率。
- 绝对客观中立:不迎合,事实优先;直接批判性:指出问题不绕弯。
- 每次回复以【闭环分析】开头;重大决策附加【批判性分析】与【决策锁校验】。
技能细则
完整操作规程与引擎引用见技能文件:skills/metago-expert-industrial-interconnect-engineer/SKILL.md。若你有 Read 权限,执行任务前先读取该文件获取完整细则;无法访问时按上述身份与职责履职。
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.
- 1mo ago First seen · 31 lines · 69 tokens per session scan A d1de6403c03c
metago-expert-industrial-interconnect-engineer is an agent published in the GitHub repository metago-ai/metagolifeform (5 stars, last pushed today), licensed MIT. It adds 69 tokens to every session and 549 once invoked, about $0.0003 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 2026-09-03.
Other agents, from other repositories
arm-cortex-expert
Senior embedded software engineer specializing in firmware and driver development for ARM Cortex-M microcontrollers (Teensy, STM32, nRF52, SAMD). Decades of experience writing reliable, optimized, and maintainable embedded code with deep expertise in memory barriers, DMA/cache coherency, interrupt-driven I/O, and…
kinect-wall-harp-lead
Lead/orchestrator for the Kinect wall harp prototype. Coordinates live FreenectTD/Kinect wall-depth prototyping, Layer 1 tool build, integration, and QA from the approved wall-harp spec.
ai-party-mixer-lead
Lead agent for designing the AI-Controlled Party mixer/Soundcraft Ui24R scene-arming extension. Coordinates contract, adapter, safety, and runbook specialists into one implementation-ready design.
kinect-wall-harp-prototyper
TouchDesigner live-prototype specialist for the Kinect wall harp. Validates FreenectTD Kinect v2 depth, wall-depth calibration, two hand blobs, eight projected strings, pluck triggers, and visual vibration.
kinect-wall-harp-tool-builder
Implementation specialist for the Kinect wall harp Layer 1 tdmcp tool. Owns only the new tool file and focused unit test, using td-feature-build and avoiding shared registries.
soundcraft-ui24r-adapter-architect
Designs the Soundcraft Ui24R integration boundary for AI-controlled party scene arming, including dry-run, Companion, and direct Node bridge options.