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-10-skill-centrismgit 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-10-skill-centrism)<a href="https://agentmods.dev/skills/metago-ai/metagolifeform/metago-thought-10-skill-centrism"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-thought-10-skill-centrism/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-10-skill-centrism"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-thought-10-skill-centrism.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 | $0.00061 | $0.00890 |
| Opus 5 | $0.00030 | $0.00445 |
| Sonnet 5 | $0.00012 | $0.00178 |
| Haiku 4.5 | $0.00006 | $0.00089 |
Grade A, and why
metago-thought-10-skill-centrism 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
Skill 中心论 V22.1
描述
确立 Skill(技能)而非大模型作为 AI 系统的核心,通过架构范式评估量化系统的"Skill 中心度",指导智能体架构设计与能力体系建设。
触发条件
- 设计 AI/智能体系统架构
- 评估系统的能力可扩展性
- 对比"模型中心"与"Skill 中心"架构
- 进行智能体的能力体系建设
前置条件
- 明确的 AI 系统架构
- 可识别的能力组件
元思想核心
Skill 中心论核心命题:
AI系统的核心是 Skill,而非大模型
大模型是 Skill 的执行载体,Skill 是能力的本质单元
架构范式对比:
| 范式 | 核心 | 能力单元 | 扩展方式 | 局限 |
|---|---|---|---|---|
| 模型中心 | 大模型 | 模型参数 | 重新训练 | 能力固化、难以增量 |
| Skill 中心 | Skill | 独立技能 | 新增 Skill | 需要技能管理框架 |
Skill 中心度公式:
S = (Modularity + Composability + Independency + Traceability) / 4
| 维度 | 评估内容 | 理想值 |
|---|---|---|
| Modularity | 技能是否模块化、有清晰边界 | 独立可替换 |
| Composability | 技能是否可组合形成复杂能力 | 可编排 |
| Independency | 技能是否独立于特定模型 | 模型无关 |
| Traceability | 技能执行是否可溯源 | 全链路可追踪 |
Skill 中心度判定:
- S >= 0.8:强 Skill 中心架构
- 0.5 <= S < 0.8:中等 Skill 中心
- S < 0.5:模型中心架构(能力固化)
推理框架
步骤 1:架构识别
- 系统的核心是什么?(模型/Skill/混合)
- 能力单元的粒度是什么?(参数级/Skill级/混合)
步骤 2:四维评估
- Modularity:能力是否封装为独立 Skill?
- Composability:Skill 之间是否可编排?
- Independency:Skill 是否绑定特定模型?
- Traceability:Skill 执行是否可追踪?
步骤 3:Skill 中心度计算
- S = (四维均值)
- 判定架构范式
步骤 4:架构优化
- 若 Modularity 低:将能力拆分为独立 Skill
- 若 Composability 低:设计 Skill 编排框架
- 若 Independency 低:解耦 Skill 与模型
- 若 Traceability 低:增加执行溯源机制
步骤 5:能力体系建设
- 规划 Skill 目录结构
- 设计 Skill 生命周期管理
- 建立 Skill 质量评估标准
验证方法
- 四维评估是否有架构层面的证据
- S 值计算是否正确
- 架构范式判定是否与实际系统行为一致
- 优化建议是否针对短板维度
- Skill 的粒度是否合理(不过粗也不过细)
- 用能力扩展场景测试:新增能力是否可通过新增 Skill 实现(无需重训模型)
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 · 94 lines · 61 tokens per session scan A fc170386ddce
metago-thought-10-skill-centrism is a skill published in the GitHub repository metago-ai/metagolifeform (4 stars, last pushed 11d ago), licensed MIT. It adds 61 tokens to every session and 890 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.
Other skills, from other repositories
extract
Run the full Semantica semantic extraction pipeline on a file or selected text — NER, relations, events, coreference resolution, triplets, and validation. Clears result cache before each run. Returns Markdown tables with entity/relation/event/triplet results and inline validator warnings.
dd-synthesis
Synthesize findings from multiple specialist agents into a coherent investment recommendation. Use when combining reports from 9+ specialist agents into a single decision document.
loop-orchestration
Reference loop-orchestration example; a local loop host chains governed runx turns through receipts, budgets, context, and stop policy.
issue-intake
Turn a noisy inbound request into a bounded intake artifact and an explicit next runx lane.
slack-notify
Plan a digest-bound Slack notification, then deliver the exact approved channel post through any compatible Slack binding with provider readback.
sign-receipt
Bind an off-runtime action claim to opaque evidence references in a signed Runx receipt without pretending Runx verified the external action.