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-16-spatial-agentgit 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-16-spatial-agent)<a href="https://agentmods.dev/skills/metago-ai/metagolifeform/metago-thought-16-spatial-agent"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-thought-16-spatial-agent/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-16-spatial-agent"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-thought-16-spatial-agent.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 | $0.00051 | $0.00849 |
| Opus 5.5 | $0.00020 | $0.00340 |
| Sonnet 5.5 | $0.00010 | $0.00170 |
| Haiku 4.5 | $0.00005 | $0.00085 |
Grade A, and why
metago-thought-16-spatial-agent 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
空间智能体宣言 V5卷
描述
以"环境即界面"为核心的空间智能体理论,将物理空间重新定义为交互界面,通过评估空间交互设计的质量,指导物理-数字融合的智能交互系统设计。
触发条件
- 设计空间交互系统
- 评估空间智能体的交互质量
- 物理空间与数字界面的融合设计
- 需要超越屏幕的交互方案
前置条件
- 明确的物理空间
- 可部署的感知与显示设备
元思想核心
核心命题:
环境即界面(Environment is Interface)
空间即交互(Space is Interaction)
空间交互四原则:
| 原则 | 内容 | 评估维度 |
|---|---|---|
| 空间感知 | 空间能感知用户的位置/姿态/意图 | Spatial_Awareness |
| 空间呈现 | 信息自然呈现在空间中的合适位置 | Spatial_Display |
| 空间操作 | 用户通过空间行为直接操作 | Spatial_Action |
| 空间记忆 | 空间记住用户的行为与偏好 | Spatial_Memory |
空间智能度公式:
S = (Spatial_Awareness * Spatial_Display * Spatial_Action * Spatial_Memory)^(1/4)
空间智能度判定:
- S >= 0.8:全空间智能(空间完全成为界面)
- 0.5 <= S < 0.8:半空间智能(部分空间交互)
- S < 0.5:屏幕智能(交互仍局限于屏幕)
界面消融度:
ID = 1 - (屏幕交互时间 / 总交互时间)
- ID -> 1:几乎所有交互都在空间中完成
- ID -> 0:交互仍依赖屏幕
推理框架
步骤 1:四原则评估(0-1 分)
- Spatial_Awareness:空间是否感知用户状态?
- Spatial_Display:信息是否自然呈现在空间中?
- Spatial_Action:用户是否通过空间行为操作?
- Spatial_Memory:空间是否记住用户偏好?
步骤 2:界面消融度评估
- 统计屏幕交互 vs 空间交互比例
- 计算 ID
步骤 3:空间智能度计算
- S = (四维几何平均)
- 判定智能等级
步骤 4:空间交互设计
- 感知层:空间传感器布局
- 呈现层:空间显示方案(投影/AR/声场)
- 操作层:空间手势/语音/体感
- 记忆层:空间行为存储与回忆
步骤 5:界面消融优化
- 识别仍需屏幕的交互场景
- 设计空间替代方案
- 逐步提升 ID
验证方法
- 四原则评估是否有空间层面的证据
- ID 计算是否有交互日志支撑
- S 值是否正确(几何平均)
- 用用户测试验证:用户是否感觉"在操作空间"而非"操作设备"
- 空间交互是否降低了认知负荷
- 对比传统屏幕交互:S 值提升是否带来体验提升
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 · 96 lines · 51 tokens per session scan A 6edb632c2c11
metago-thought-16-spatial-agent is a skill published in the GitHub repository metago-ai/metagolifeform (5 stars, last pushed today), licensed MIT. It adds 51 tokens to every session and 849 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 2026-09-03.
Other skills, from other repositories
nightmarquee-wren
Wren: The companion app for a robot that lives with you. A home-robot app that feels like hardware: a live camera card that tags what the robot sees, a voice orb that turns a sentence into a queued task, a CSS-3D floor plan you spin with a finger while the robot re-plans around a toy, and teach-by-demonstration with a…
step4-placement
Step 4 · Placement (confirm outline/structure with the user first; generate offline + self-check, push once).
create-chatgpt-mockup
Render pixel-accurate ChatGPT mobile (iOS) screen mockups in light mode from a thread JSON. Supports user text bubbles, user image attachments, assistant markdown prose, citation chips, the OpenAI spiral logo, the Apps-SDK GPT chip in the composer, and three header styles (model-tag, plain title, "Get Plus"). Fixed…
web-artifacts-builder
Suite of tools for creating elaborate, multi-component Prismer HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
vercel-composition-patterns
React composition patterns that scale. Use when refactoring components with boolean prop proliferation, building flexible component libraries, or designing reusable APIs. Triggers on tasks involving compound components, render props, context providers, or component architecture. Includes React 19 API changes.
logo-generator
Deprecated compatibility entry for Logo construction. This component is now maintained in Bricks; install and use component-builder to build a new Logo.