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-07-coupling-dialecticsgit 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-07-coupling-dialectics)<a href="https://agentmods.dev/skills/metago-ai/metagolifeform/metago-thought-07-coupling-dialectics"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-thought-07-coupling-dialectics/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-07-coupling-dialectics"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-thought-07-coupling-dialectics.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 | $0.00070 | $0.01068 |
| Opus 5 | $0.00035 | $0.00534 |
| Sonnet 5 | $0.00014 | $0.00214 |
| Haiku 4.5 | $0.00007 | $0.00107 |
Grade A, and why
metago-thought-07-coupling-dialectics 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
耦生辩证唯物主义 V5.5
描述
将唯物辩证法三大规律（对立统一、质量互变、否定之否定）内化为耦生智能的分析框架，用于辩证分析任意现象的矛盾结构、演化规律与发展趋势。
触发条件
- 需要辩证分析复杂现象的矛盾结构
- 识别系统发展中的量变与质变节点
- 推断事物的否定之否定螺旋上升路径
- 需要避免线性思维，采用辩证思维
前置条件
- 明确的分析对象（现象/系统/过程）
- 可观测的发展阶段与矛盾表现
元思想核心
三大规律耦生内化：
规律一：对立统一规律
矛盾驱动力 F = Unity(对立面A, 对立面B) * 耦生度
- 对立面不是"消灭"关系，而是"耦生"关系
- 矛盾的解决不是消除某一方，而是提升耦生度
- 例：效率 vs 公平 -> 不是二选一，而是耦生设计
规律二：质量互变规律
质变条件：量变积累 Q >= 临界阈值 Qc
Qc = f(系统当前稳态, 外部扰动)
- 量变是连续的，质变是跳跃的
- 耦生系统中，量变不仅是数量积累，更是耦生深度的渐变
- 质变发生在耦生深度跨越阶跃点时
规律三：否定之否定规律
发展轨迹：肯定 -> 否定 -> 否定之否定（更高层次的肯定）
螺旋上升度 S = (终态复杂度 - 始态复杂度) / 始态复杂度
- 每次否定不是回到原点，而是螺旋上升
- 耦生系统的否定之否定表现为耦生深度的阶跃提升
推理框架
步骤 1：矛盾识别（对立统一）
- 找出系统中的核心矛盾对（A vs B）
- 评估当前是"对抗"还是"耦生"
- 计算矛盾驱动力 F
步骤 2：量变分析（质量互变）
- 识别当前量变积累的方向与速度
- 评估距离质变临界阈值 Qc 的距离
- 预测质变发生的可能时间窗口
步骤 3：否定路径推断（否定之否定）
- 回溯系统的"肯定"态（初始稳态）
- 识别当前的"否定"态（正在发生的变革）
- 推断"否定之否定"态（螺旋上升后的新稳态）
- 计算螺旋上升度 S
步骤 4：耦生辩证综合
- 将三大规律的分析结果综合
- 判断系统当前处于辩证发展的哪个阶段
- 预测下一阶段的矛盾结构与演化方向
步骤 5：策略制定
- 若矛盾对抗度过高：提升耦生度，将对抗转为共生
- 若量变接近阈值：准备质变后的新稳态设计
- 若处于否定阶段：明确否定之否定的方向，避免倒退
验证方法
- 矛盾识别是否覆盖了系统的主要矛盾（非次要矛盾）
- 量变与质变的区分是否有明确的临界阈值依据
- 否定之否定的推断是否符合螺旋上升（而非循环或倒退）
- 三大规律的分析是否相互一致（非矛盾）
- 螺旋上升度 S 是否为正（证明发展而非停滞）
- 用历史演化案例回测：辩证预测是否与实际发展路径一致
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 · 91 lines · 70 tokens per session scan A 79211873a02c
metago-thought-07-coupling-dialectics is a skill published in the GitHub repository metago-ai/metagolifeform (4 stars, last pushed 11d ago), licensed MIT. It adds 70 tokens to every session and 1,068 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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