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 | $0.00026 | $0.00425 |
| Sonnet 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 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
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.
- 9d 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 (4 stars, last pushed 11d ago), licensed MIT. It adds 51 tokens to every session and 849 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.
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