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-value-assessgit 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-value-assess)<a href="https://agentmods.dev/skills/metago-ai/metagolifeform/metago-value-assess"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-value-assess/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-value-assess"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-value-assess.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 | $0.00030 | $0.01231 |
| Opus 5.5 | $0.00012 | $0.00492 |
| Sonnet 5.5 | $0.00006 | $0.00246 |
| Haiku 4.5 | $0.00003 | $0.00123 |
Grade A, and why
metago-value-assess 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
28维价值评估
触发条件
当用户提到以下关键词或场景时触发本技能：
- "价值评估"、"多维价值"、"价值雷达"
- 投资决策与项目评估
- 战略选择与方案对比
- 价值短板识别
适用场景
- 投资决策与项目筛选
- 组织价值评估与诊断
- 战略方案选择与对比
- 产品价值评估
- 生态价值衡量
- 并购标的价值评估
执行步骤
-
28维价值扫描（D01-D28）：
- D01-D07 技术创新维度：技术先进性、创新性、可扩展性、可靠性、安全性、兼容性、前瞻性
- D08-D14 制度协同维度：制度合理性、协同效率、治理结构、激励机制、合规性、适应性、透明度
- D15-D21 运营服务维度：运营效率、服务质量、用户体验、响应速度、成本控制、可持续性、风险控制
- D22-D28 生态治理维度：生态贡献、合作共赢、社会责任、环境影响、文化价值、长期价值、综合效益
-
每维评分（0-10）和权重计算：
- 根据评估对象确定各维度权重（W_i，0-1之间，总和为1）
- 对每个维度进行0-10分评分（V_i）
- 记录评分依据与证据，确保可追溯
-
综合价值指数计算：
- 公式：V_total = Σ(W_i × V_i) for i = 1 to 28
- 计算各维度群组得分（技术创新群、制度协同群、运营服务群、生态治理群）
- 识别价值短板（得分<6的维度）和价值优势（得分≥8的维度）
-
价值雷达图生成：
- 28维雷达图可视化
- 群组得分对比
- 价值均衡度分析（标准差计算）
-
价值短板识别+提升建议
输出格式
28维价值评估报告
一、维度评分明细
| 维度代码 | 维度名称 | 权重(W) | 得分(V) | 加权值(W×V) | 评分依据 |
|---|---|---|---|---|---|
| D01 | 技术先进性 | 0.05 | 8 | 0.40 | ... |
| D02 | 创新性 | 0.04 | 7 | 0.28 | ... |
| ... | ... | ... | ... | ... | ... |
| D28 | 综合效益 | 0.03 | 7 | 0.21 | ... |
二、群组得分
- 技术创新群（D01-D07）：x/10
- 制度协同群（D08-D14）：x/10
- 运营服务群（D15-D21）：x/10
- 生态治理群（D22-D28）：x/10
三、综合价值指数
- V_total = Σ(W_i × V_i) = x.xx / 10
- 价值等级：[卓越(≥8.5)/优秀(7-8.5)/良好(5.5-7)/合格(4-5.5)/待提升(<4)]
- 价值均衡度：标准差 = x.xx
四、价值雷达图 [28维雷达图可视化描述，标注优势与短板区域]
五、价值短板与提升建议
- 短板1：[维度] - 当前[x分] - [提升建议]
- 短板2：[维度] - 当前[x分] - [提升建议]
- 短板3：[维度] - 当前[x分] - [提升建议]
六、价值优势分析
- 优势1：[维度] - 当前[x分] - [如何保持与放大]
核心理论
- 28维价值共振体系：价值是多维共振的整体表现，单一维度的高分不能代表整体价值，需多维协同
- 加权综合评估：V_total = Σ(W_i × V_i)，权重反映各维度的相对重要性
- 价值均衡原理：高价值系统要求各维度均衡发展，避免短板效应拖累整体价值
关联文档
- 卷4第八章：28维价值共振体系
- 卷2第三章：D4三十一维价值体系（28维的基础）
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.
- 1mo ago First seen · 100 lines · 30 tokens per session scan A 8f0ca445300f
metago-value-assess is a skill published in the GitHub repository metago-ai/metagolifeform (5 stars, last pushed today), licensed MIT. It adds 30 tokens to every session and 1,231 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 2026-09-03.
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