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-18-sip-protocolgit 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-18-sip-protocol)<a href="https://agentmods.dev/skills/metago-ai/metagolifeform/metago-thought-18-sip-protocol"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-thought-18-sip-protocol/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-18-sip-protocol"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-thought-18-sip-protocol.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 | $0.00050 | $0.00853 |
| Opus 5 | $0.00025 | $0.00426 |
| Sonnet 5 | $0.00010 | $0.00171 |
| Haiku 4.5 | $0.00005 | $0.00085 |
Grade A, and why
metago-thought-18-sip-protocol 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
空间智能协议 V4卷
描述
定义空间智能体之间、空间智能体与物理空间之间的通信协议规范，通过合规性检查确保空间智能系统的互操作性与标准化。
触发条件
- 评估空间智能系统的协议合规性
- 设计空间通信协议
- 空间智能体之间的互操作性设计
- 空间系统标准化
前置条件
- 明确的空间智能系统
- 可识别的通信接口
元思想核心
SIP 协议四层模型：
| 层 | 名称 | 协议内容 | 评估维度 |
|---|---|---|---|
| L4 | 语义层 | 空间意图与语义的统一表达 | Semantics |
| L3 | 交互层 | 空间交互行为的协议化 | Interaction |
| L2 | 数据层 | 空间数据格式与交换标准 | Data_Standard |
| L1 | 传输层 | 空间消息的可靠传输 | Transport |
SIP 合规度公式：
C = (Transport * Data_Standard * Interaction * Semantics)^(1/4)
合规度判定：
- C >= 0.8：完全合规（四层全实现）
- 0.5 <= C < 0.8：部分合规（核心层实现）
- C < 0.5：不合规（互操作性风险）
SIP 核心消息类型：
- DISCOVER：空间发现（发现可用空间智能体）
- DESCRIBE：空间描述（描述空间能力与状态）
- COMMAND：空间命令（指令空间行为）
- EVENT：空间事件（通知空间状态变化）
- SYNC：空间同步（同步空间状态）
互操作性公式：
I = (协议一致性 * 语义互懂 * 行为互认) / 3
- I >= 0.7：高互操作
- I < 0.4：低互操作（需适配层）
推理框架
步骤 1：四层协议评估（0-1 分）
- Transport：传输层是否可靠？
- Data_Standard：数据格式是否标准化？
- Interaction：交互行为是否协议化？
- Semantics：语义表达是否统一？
步骤 2：核心消息类型检查
- 五种核心消息是否全部支持？
- 消息格式是否符合规范？
步骤 3：合规度计算
- C = (四维几何平均)
- 判定合规等级
步骤 4：互操作性评估
- 协议一致性：是否遵循同一规范？
- 语义互懂：不同智能体是否能理解彼此语义？
- 行为互认：不同智能体是否能认可彼此行为？
- 计算 I
步骤 5：合规优化
- 识别不合规的层/消息
- 设计修复方案
- 建议适配层（若互操作性低）
验证方法
- 四层评估是否有协议层面的证据
- 五种核心消息是否逐个验证
- C 值是否正确（几何平均）
- 互操作性 I 是否有跨系统测试
- 用协议测试套件验证：合规项是否通过
- 用不同厂商的空间智能体测试互操作性：I 值是否可接受
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 · 50 tokens per session scan A 219cb2044703
metago-thought-18-sip-protocol is a skill published in the GitHub repository metago-ai/metagolifeform (4 stars, last pushed 11d ago), licensed MIT. It adds 50 tokens to every session and 853 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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