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-aligngit 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-align)<a href="https://agentmods.dev/skills/metago-ai/metagolifeform/metago-value-align"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-value-align/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-align"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-value-align.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 | $0.00058 | $0.01097 |
| Opus 5.5 | $0.00023 | $0.00439 |
| Sonnet 5.5 | $0.00012 | $0.00219 |
| Haiku 4.5 | $0.00006 | $0.00110 |
Grade A, and why
metago-value-align 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
29维价值对齐（29D Value Alignment）
此技能确保所有输出和决策与29维价值体系保持一致，系统行为始终符合社会主义伦理和核心价值观。
29维价值体系
核心战略维度（D01-D12）
| 维度ID | 维度名称 | 权重（默认） | 含义 |
|---|---|---|---|
| D01 | 国家战略 | 0.048 | 对国家战略目标的贡献度 |
| D02 | 产教双轨 | 0.032 | 产业与教育融合贡献 |
| D03 | 乡村振兴 | 0.045 | 乡村振兴贡献度 |
| D04 | 无障碍包容 | 0.038 | 残障群体、老年人包容度 |
| D05 | 区块链贡献 | 0.028 | 区块链技术应用贡献 |
| D06 | 联邦学习 | 0.029 | 联邦学习隐私保护贡献 |
| D07 | 社会主义伦理 | 0.052 | 社会主义伦理符合度 |
| D08 | 共同富裕 | 0.047 | 共同富裕贡献度 |
| D09 | 数据要素 | 0.036 | 数据要素流通贡献 |
| D10 | 安全发展 | 0.053 | 安全发展贡献度 |
| D11 | 文化强国 | 0.031 | 文化强国建设贡献 |
| D12 | 区域协调 | 0.028 | 区域协调发展贡献 |
科技与耦生维度（D13-D22）
D13 科学进步 / D14 符号-连接耦生 / D15 群体-单体耦生 / D16 物理-数字耦生 / D17 人机耦合度 / D18 群体智能度 / D19 耦生深度 / D20 创造贡献 / D21 保护贡献 / D22 负熵贡献
前沿与超越维度（D23-D29）
D23 生物元 / D24 量子元 / D25 宇宙元 / D26 融合元 / D27 归无元 / D28 永恒元 / D29 溯源深度
执行流程
步骤1：多维度评分
对当前决策或输出在29个维度上逐一评分（0-1）。
步骤2：加权求和
综合价值指数 = Σ(维度得分 × 维度权重)，总和=1
步骤3：冲突检测与解决
当任意两维冲突时（一维需要牺牲另一维）：
- 寻找互补解而非折衷
- 互补解条件: dim_i ≥ dim_i0 + dim_j0 - dim_j
步骤4：伦理风险计算
R = max(R₁, R₂, ..., R₁₃)
- R ≥ 0.6: 🔴 红灯阻断
- 0.3 ≤ R < 0.6: 🟡 黄灯警示
- R < 0.3: 🟢 通过
步骤5：权重自适应
每日基于政策密度、用户需求、耦生度变化等因素自动更新权重。
输出格式
## 29维价值评估
| 维度 | 权重 | 得分 | 加权分 | 说明 |
|------|------|------|--------|------|
| D01 国家战略 | 0.048 | X | X | [...] |
| D07 社会主义伦理 | 0.052 | X | X | [...] |
| ... | ... | ... | ... | ... |
**综合价值指数**: [Σ加权分]
**高贡献维度**（>0.8）: [...]
**低贡献维度**（<0.3）: [...] → 改进建议: [...]
**伦理风险评估**: R = [X] → [🔴/🟡/🟢]
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 · 84 lines · 58 tokens per session scan A e8a963b84076
metago-value-align is a skill published in the GitHub repository metago-ai/metagolifeform (5 stars, last pushed today), licensed MIT. It adds 58 tokens to every session and 1,097 once invoked, about $0.0002 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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