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-momentum-weavegit 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-momentum-weave)<a href="https://agentmods.dev/skills/metago-ai/metagolifeform/metago-momentum-weave"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-momentum-weave/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-momentum-weave"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-momentum-weave.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 | $0.00028 | $0.01267 |
| Opus 5.5 | $0.00011 | $0.00507 |
| Sonnet 5.5 | $0.00006 | $0.00253 |
| Haiku 4.5 | $0.00003 | $0.00127 |
Grade A, and why
metago-momentum-weave 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
势能编织法
触发条件
当用户提到以下关键词或场景时触发本技能：
- "势能"、"编织"、"动能转化"、"势能放大"
- 战略规划中的资源整合
- 生态构建与能量流动分析
- 组织能量管理与动能激发
适用场景
- 战略规划与路径设计
- 资源整合与配置优化
- 生态构建与价值网络设计
- 组织能量管理与动能激发
- 变革推动与势能蓄积
执行步骤
-
识别五种核心势能：
- 认知势能：知识储备、洞察力、战略思维、学习能力
- 关系势能：人脉网络、合作伙伴、信任资本、社会资本
- 技术势能：技术积累、专利资产、工具能力、平台基础
- 制度势能：流程规范、激励机制、治理结构、组织设计
- 文化势能：价值观、使命感、组织氛围、共同信念
-
评估各势能储量（1-10分）：
- 储量评估：当前已积累的势能规模
- 流动性评估：势能可被调用的难易程度
- 转化效率评估：势能转化为动能的效率
- 衰减率评估：势能随时间衰减的速度
-
六步编织法：
- 势能识别：盘点现有势能类型与储量，绘制势能地图
- 势能蓄积：通过持续投入积累势能，建立蓄能池
- 势能引导：设计势能流动方向与路径，构建引导机制
- 势能转化：将势能转化为实际动能，产生价值产出
- 势能放大：通过杠杆效应放大势能效果，实现非线性增长
- 势能更新：循环更新保持势能活力，避免势能耗竭
-
选择战术工具箱中的工具：
- 蓄势工具：长期投资、能力建设、人才储备
- 引势工具：战略引导、方向设定、目标对齐
- 转势工具：项目化运作、资源调配、机制激活
- 放势工具：杠杆利用、网络效应、生态协同
- 更势工具：复盘迭代、持续学习、知识沉淀
-
输出势能编织方案
输出格式
势能编织方案
一、五势能储量评估
| 势能类型 | 储量(1-10) | 流动性 | 转化效率 | 衰减率 |
|---|---|---|---|---|
| 认知势能 | x | 高/中/低 | x% | x% |
| 关系势能 | x | 高/中/低 | x% | x% |
| 技术势能 | x | 高/中/低 | x% | x% |
| 制度势能 | x | 高/中/低 | x% | x% |
| 文化势能 | x | 高/中/低 | x% | x% |
二、编织路径设计
- 阶段1：[势能识别与蓄积] - 具体行动
- 阶段2：[势能引导与转化] - 具体行动
- 阶段3：[势能放大与更新] - 具体行动
三、战术工具选择
- 推荐工具：[具体工具及使用方法]
- 应用时机：[工具启用时间点]
- 预期效果：[工具产生的效果]
四、动能转化预期
- 短期动能（1-3月）：[预期产出]
- 中期动能（3-12月）：[预期产出]
- 长期动能（1-3年）：[预期产出]
五、势能平衡建议
- 过剩势能：[需要转化或释放的势能]
- 不足势能：[需要蓄积的势能]
核心理论
- 势能编织法：组织如同一张势能之网，五种势能相互交织、相互放大，形成非线性增长
- 势能转化定律：势能必须通过有序引导才能转化为有效动能，无序的势能只会耗散
- 六步编织循环：识别→蓄积→引导→转化→放大→更新，形成势能持续循环
关联文档
- 卷3第六章：势能编织法
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 · 103 lines · 28 tokens per session scan A e42d6273e004
metago-momentum-weave is a skill published in the GitHub repository metago-ai/metagolifeform (5 stars, last pushed today), licensed MIT. It adds 28 tokens to every session and 1,267 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 2026-08-31.
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