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-org-diagnosisgit 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-org-diagnosis)<a href="https://agentmods.dev/skills/metago-ai/metagolifeform/metago-org-diagnosis"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-org-diagnosis/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-org-diagnosis"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-org-diagnosis.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 | $0.00034 | $0.01169 |
| Opus 5 | $0.00017 | $0.00584 |
| Sonnet 5 | $0.00007 | $0.00234 |
| Haiku 4.5 | $0.00003 | $0.00117 |
Grade A, and why
metago-org-diagnosis 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 12d 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
三元五纬诊断模型
触发条件
当用户提到以下关键词或场景时触发本技能：
- "组织诊断"、"健康度评估"、"三元失耦"、"五纬扫描"
- 企业变革前的现状评估
- 团队效能与组织健康度分析
- 数字化转型成熟度评估
- 重组并购后的整合诊断
适用场景
- 企业组织健康度诊断
- 团队效能与协作评估
- 组织变革前的基础诊断
- 数字化转型成熟度评估
- 重组并购后的整合诊断
执行步骤
-
三元本体分析：分析碳基（人）、硅基（系统）、比特（数据）三元本体的深度耦合度
- 碳基（人）：组织成员的数字素养、协作能力、决策权限
- 硅基（系统）：技术架构、流程系统、工具链的连通性
- 比特（数据）：数据资产、信息流、知识图谱的完整度
-
五纬雷达扫描：从五个维度扫描组织状态
- 共识度：组织成员对战略目标、价值观的认同程度
- 协同度：跨部门、跨层级协作效率与顺畅度
- 创新度：组织学习能力与持续创新动能
- 韧制度：组织应对变化与冲击的恢复能力
- 价值度：价值创造与交付的实际产出
-
矩阵诊断：四象限定位组织类型
- 引领者（高三元耦合+高五纬得分）
- 空心节点（高三元耦合+低五纬得分）
- 孤胆天才（低三元耦合+高五纬得分）
- 停滞单元（低三元耦合+低五纬得分）
-
失耦诊断：识别三元割裂的具体表现
- 碳基与比特割裂：人员与数据脱节，决策缺乏数据支撑
- 硅基与碳基割裂：系统与人脱节，工具未能赋能于人
- 比特与硅基割裂：数据与系统脱节，数据孤岛严重
-
输出诊断报告：包含诊断结论与干预建议
输出格式
三元五纬诊断报告
一、三元本体耦合度分析
| 本体 | 评估维度 | 得分(0-10) | 说明 |
|---|---|---|---|
| 碳基 | 数字素养/协作能力/决策权限 | x | ... |
| 硅基 | 技术架构/流程系统/工具链 | x | ... |
| 比特 | 数据资产/信息流/知识图谱 | x | ... |
二、五纬雷达扫描结果
- 共识度：x/10
- 协同度：x/10
- 创新度：x/10
- 韧制度：x/10
- 价值度：x/10
三、组织象限定位
- 定位：[引领者/空心节点/孤胆天才/停滞单元]
- 特征描述
四、失耦诊断
- 主要割裂：[具体失耦问题]
- 影响分析
五、干预建议
- 优先级排序的干预措施
- 预期改善效果
核心理论
- 三元本体论：碳基（人）、硅基（系统）、比特（数据）三元的有机统一，任何一元缺失或失衡都会导致组织失耦
- 耦合公式：C_total = C_carbon × C_silicon × C_bit（任一元为0则总耦合度为0，体现木桶效应）
- 熵增公式：组织无序度持续增加，需通过负熵注入维持有序，三元耦合是负熵的核心来源
关联文档
- 卷3第五章：三元五纬诊断模型详解
- 卷1第一章：三元本体论基础
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.
- 12d ago First seen · 98 lines · 34 tokens per session scan A 7e99ef0bbad4
metago-org-diagnosis is a skill published in the GitHub repository metago-ai/metagolifeform (4 stars, last pushed 10d ago), licensed MIT. It adds 34 tokens to every session and 1,169 once invoked, about $0.0002 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 2026-08-31.
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