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-17-pspace-osgit 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-17-pspace-os)<a href="https://agentmods.dev/skills/metago-ai/metagolifeform/metago-thought-17-pspace-os"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-thought-17-pspace-os/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-17-pspace-os"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-thought-17-pspace-os.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 | $0.00054 | $0.00889 |
| Opus 5 | $0.00027 | $0.00445 |
| Sonnet 5 | $0.00011 | $0.00178 |
| Haiku 4.5 | $0.00005 | $0.00089 |
Grade A, and why
metago-thought-17-pspace-os 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
物理空间操作系统 V4卷
描述
将物理空间视为可编程的操作系统的理论框架，通过评估物理空间的数字化与可编程程度，指导空间计算平台与物理空间 OS 的架构设计。
触发条件
- 评估物理空间的数字化程度
- 设计空间计算平台架构
- 物理空间的可编程化方案
- 对比数字 OS 与空间 OS
前置条件
- 明确的物理空间
- 可部署的空间计算设备
元思想核心
核心命题：
物理空间 = 可编程平台
P-Space OS 是物理空间的操作系统
P-Space OS 六层架构：
| 层 | 名称 | 功能 | 评估维度 |
|---|---|---|---|
| L6 | 空间应用层 | 空间应用生态 | App_Layer |
| L5 | 空间交互层 | 多模态空间交互 | Interaction |
| L4 | 空间智能层 | 空间AI与世界模型 | Intelligence |
| L3 | 空间数据层 | 空间数据管理与索引 | Data |
| L2 | 空间抽象层 | 物理空间数字孪生 | Abstraction |
| L1 | 空间感知层 | 传感器与空间感知 | Sensing |
P-Space OS 成熟度公式：
M = (Sensing * Abstraction * Data * Intelligence * Interaction * App_Layer)^(1/6)
成熟度判定：
- M >= 0.8：完整 P-Space OS（六层全实现）
- 0.5 <= M < 0.8：部分 P-Space OS（核心层实现）
- M < 0.5：初级空间数字化（仅感知层）
空间可编程度：
P = 可编程空间元素 / 总空间元素
- P -> 1：空间中所有元素都可编程
- P -> 0：空间元素不可编程
推理框架
步骤 1：六层架构评估（0-1 分）
- Sensing：空间感知覆盖率与精度
- Abstraction：数字孪生的保真度
- Data：空间数据的管理与索引能力
- Intelligence：空间AI的决策能力
- Interaction：空间交互的丰富度
- App_Layer：空间应用生态的成熟度
步骤 2：空间可编程度评估
- 统计可编程 vs 不可编程元素
- 计算 P
步骤 3：成熟度计算
- M = (六维几何平均)
- 判定 P-Space OS 等级
步骤 4：架构差距分析
- 识别最薄弱层
- 分析提升的技术可行性
步骤 5：P-Space OS 演进路线
- 短期：补齐感知层与抽象层
- 中期：建设数据层与智能层
- 长期：完善交互层与应用生态
验证方法
- 六层评估是否有架构层面的证据
- M 值是否正确（几何平均）
- 空间可编程度 P 是否有元素级统计
- 最薄弱层的识别是否准确
- 用空间计算标杆（如 Apple Vision Pro）对比：M 值排序是否合理
- 用应用场景测试：空间应用是否可在 P-Space OS 上运行
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 · 98 lines · 54 tokens per session scan A 48a6006bc27b
metago-thought-17-pspace-os is a skill published in the GitHub repository metago-ai/metagolifeform (4 stars, last pushed 11d ago), licensed MIT. It adds 54 tokens to every session and 889 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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