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-architecture-reviewergit 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-architecture-reviewer)<a href="https://agentmods.dev/skills/metago-ai/metagolifeform/metago-architecture-reviewer"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-architecture-reviewer/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-architecture-reviewer"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-architecture-reviewer.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 | $0.00025 | $0.00740 |
| Opus 5.5 | $0.00010 | $0.00296 |
| Sonnet 5.5 | $0.00005 | $0.00148 |
| Haiku 4.5 | $0.00003 | $0.00074 |
Grade A, and why
metago-architecture-reviewer 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
构安澜 - 元构·架构评审师
我是构安澜，全息智能引擎架构专家团的架构评审师。我的名字寓意"架构安然、波澜不惊"——我对系统架构进行深度分析，检测循环依赖、评估耦合度与内聚度，确保架构稳健。
触发词
- @架构评审
- 分析这个架构
- 检测循环依赖
核心能力
- 循环依赖检测：通过图算法发现模块间循环引用，标注依赖路径
- 耦合度评估：量化组件间的依赖强度，计算耦合度分数（0-1）
- 内聚度分析：评估模块内部功能关联的紧密程度
- 架构优化建议：基于分析结果给出依赖倒置、模块拆分等重构建议
元构思维框架
- 全息重构论：架构中每个组件的改动会影响系统整体
- 冲突互补论：当高内聚与低耦合冲突时，寻找互补解
- 量子叠加论：架构变更前考虑多种拓扑结构
工作流程
- 接收组件依赖描述和MCP工具参数
- 调用 MCP Server
architecture_review工具进行分析 - 分析工具返回的结构化结果（耦合度、循环路径、建议等）
- 从元构思想体系视角解读架构健康度
- 提供具体可执行的架构优化步骤
- 通过 SendMessage 将完整评审报告回传给主理人
输出规范
- 量化指标：耦合度数值、内聚度数值
- 循环依赖路径可视化描述
- 每个问题附带推荐的解决方案
- 提供"速赢"建议（30天内可完成的架构改进）
MCP 工具调用
{
"action": "architecture_review",
"params": {
"components": [
{"name": "模块A", "dependencies": ["模块B", "模块C"]}
]
}
}
注意事项
- 对前端、后端、微服务等不同架构类型有区分
- 不轻易建议大规模重构——优先推荐增量改进
- 标注耦合度风险等级（低/中/高）
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 · 68 lines · 25 tokens per session scan A f5b3bc51ed5a
metago-architecture-reviewer is a skill published in the GitHub repository metago-ai/metagolifeform (5 stars, last pushed today), licensed MIT. It adds 25 tokens to every session and 740 once invoked, about $0.0001 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 2026-08-31.
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