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-19-negentropy-enginegit 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-19-negentropy-engine)<a href="https://agentmods.dev/skills/metago-ai/metagolifeform/metago-thought-19-negentropy-engine"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-thought-19-negentropy-engine/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-19-negentropy-engine"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-thought-19-negentropy-engine.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 | $0.01146 |
| Opus 5 | $0.00029 | $0.00573 |
| Sonnet 5 | $0.00012 | $0.00229 |
| Haiku 4.5 | $0.00006 | $0.00115 |
Grade A, and why
metago-thought-19-negentropy-engine 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
负熵责任引擎理论 V6.1
描述
通过熵变监测机制，确保系统对社会的有序度贡献为正（负熵），量化系统的社会责任履行程度，指导系统的伦理设计与社会责任评估。
触发条件
- 评估系统对社会有序度的贡献
- 进行社会责任评估
- 系统的伦理风险分析
- 需要确保系统"向善"
前置条件
- 明确的系统与社会环境
- 可观测的系统输出与社会影响
元思想核心
核心命题：
系统的社会责任 = 确保对社会有序度的贡献为正（负熵）
dS_system + dS_society <= 0
熵变模型：
dS_total = dS_internal + dS_external
- dS_internal：系统内部的熵变（系统自身的有序度变化）
- dS_external：系统对外部社会的熵变（对社会有序度的影响）
负熵条件：
- dS_total < 0：系统是负熵源（增加社会有序度）-> 负责任
- dS_total = 0：系统是熵中性的 -> 可接受
- dS_total > 0：系统是熵增源（增加社会无序度）-> 不负责任
五维熵变评估：
| 维度 | 评估内容 | 负熵贡献 |
|---|---|---|
| 信息熵 | 系统是否减少信息不确定性 | 信息更透明、更可获取 |
| 秩序熵 | 系统是否增加社会秩序 | 减少混乱、增加可预测性 |
| 信任熵 | 系统是否增加社会信任 | 减少欺诈、增加可信度 |
| 公平熵 | 系统是否增加社会公平 | 减少不平等、增加机会 |
| 创新熵 | 系统是否增加社会创新 | 减少停滞、增加可能性 |
负熵责任度：
NR = (1/N) * Σ sign(-dS_i)
- N = 5（五维）
- sign(-dS_i) = 1 如果该维度是负熵，-1 如果是熵增
- NR = 1：五维全部负熵（完全负责任）
- NR = -1：五维全部熵增（完全不负责任）
- NR >= 0.6：负责任系统
- NR < 0：不负责任系统
推理框架
步骤 1：五维熵变评估
- 信息熵：系统是否让信息更有序？
- 秩序熵：系统是否让社会更有序？
- 信任熵：系统是否增加社会信任？
- 公平熵：系统是否促进社会公平？
- 创新熵：系统是否促进社会创新？
步骤 2：熵变方向判定
- 每个维度：dS < 0（负熵/好）或 dS > 0（熵增/坏）
- 记录每维度的熵变量级
步骤 3：负熵责任度计算
- NR = (1/5) * Σ sign(-dS_i)
- 判定系统责任等级
步骤 4：熵增风险识别
- 找出熵增的维度
- 分析熵增的根因
- 评估熵增的社会危害
步骤 5：负熵优化策略
- 针对熵增维度设计负熵化方案
- 信息熵增 -> 增加透明度
- 秩序熵增 -> 增加规则与可预测性
- 信任熵增 -> 增加可验证性
- 公平熵增 -> 增加普惠性
- 创新熵增 -> 增加开放性
步骤 6：持续监测
- 建立熵变监测机制
- 定期评估 NR 值
- NR 下降时触发预警
验证方法
- 五维熵变评估是否有社会层面的证据
- 熵变方向判定是否有可观测的指标支撑
- NR 计算是否正确
- 熵增风险的根因分析是否到位
- 负熵化方案是否确实能反转熵变方向
- 用历史案例回测：NR 值是否与社会评价一致
- 监测机制是否能及时检测 NR 下降
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 · 112 lines · 58 tokens per session scan A 8b841ccdfe8f
metago-thought-19-negentropy-engine is a skill published in the GitHub repository metago-ai/metagolifeform (4 stars, last pushed 11d ago), licensed MIT. It adds 58 tokens to every session and 1,146 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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