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 ontology-of-everything/SemanticSkills --skill semantic-pkm-creatorgit clone --depth 1 https://github.com/ontology-of-everything/SemanticSkillsWrote 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/ontology-of-everything/semanticskills/semantic-pkm-creator)<a href="https://agentmods.dev/skills/ontology-of-everything/semanticskills/semantic-pkm-creator"><img src="https://agentmods.dev/badge/skills/ontology-of-everything/semanticskills/semantic-pkm-creator/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/ontology-of-everything/semanticskills/semantic-pkm-creator"><img src="https://agentmods.dev/badge/skills/ontology-of-everything/semanticskills/semantic-pkm-creator.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 | $0.00085 | $0.01040 |
| Opus 5 | $0.00043 | $0.00520 |
| Sonnet 5 | $0.00017 | $0.00208 |
| Haiku 4.5 | $0.00009 | $0.00104 |
Grade A, and why
semantic-pkm-creator 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 4d 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
场景-概念-实体萃取（PKM）
目标
输入：一批线性原文。输出：用户指定目录下的 sce-scenes.yaml、sce-concepts.yaml、sce-entities.yaml，进度记在 _sce-round1-progress.md。价值在调用：一个概念能被另一个场景直接拿来用。三层划分灵感来自「人月聊 IT」《三层架构：场景、概念与实体》。
原则
- 原文至上：
define与 IPO 来自原文，≤50 字；原文写不出就留空，不编造。 - 概念是中枢：先立概念，实体挂到概念，场景只调用已成立的概念与实体。
- 宁缺毋滥：没有自己的 IPO 或分解，不独立成概念——过虚并入父概念，过碎降为步骤。
- 引用可控：每概念 2–6 条关系；同一对知识元只保留最强的一种。
- 两轮之间必须停下等人确认；未确认不进入第二轮。
流程
第一轮 · 扫骨架（每批 5–10 篇，进度写入 _sce-round1-progress.md）
- 读完本批原文，记下进度。
- 抽候选，只写
id + define + sources：场景 = 「如何……」；概念 = 能否 IPO 化；实体 = 「用了 XX 吗」。 - 全局去重：语义重叠 ≥80% 合并，同义统一 id，过细步骤收回父概念；记合并日志（X→Y）。
- 写三个 YAML，其余字段标
TODO。 - 停：出示去重结果与概念覆盖，等确认。
第二轮 · 填内容（用 sources 回查原文；信号词：先/然后 → 步骤，需要/输入 → IPO 输入）
- 按中枢填充——先概念（写满 IPO 或分解），实体并行，后场景（触发 + 目标 + 3–6 个递进阶段的组装）。
- 补关系网：读
references/relations.md；实体补层级，概念↔实体用调用。 - 完整性校验后收口，写
updated_at。
命题
- 第一轮结束时只有骨架（
id + define + sources）、无冗余、有合并日志。 - 每个概念有 IPO 或分解之一，没有空壳；每个实体满足「我用了 X」且层级 ≤3；每个场景只调用已成立的概念与实体，3–6 个阶段。
- 所有引用可解析；
define≤50 字且有出处；无孤立概念；每概念 2–6 条关系。
记法与模板
| 层 | 是什么 | 回答的问题 | 合格定义 |
|---|---|---|---|
| 概念 | 类 = 可执行动作 | 用什么方法来想 | IPO（输入→处理→输出）保独立逻辑；分解（阶段、子概念、该步为何需要）建调用；可并用 |
| 实体 | 实例 = 可指认对象 | 用什么人 / 工具 / 产品 / 具名框架 | 「我用了 X」且 X 不是动作；有提出者的方法论产品是实体，通用动作是概念 |
| 场景 | 组装 = 问题 + 编排规则 | 如何…… | 触发、目标、3–6 个递进阶段、每阶段调用与约束 |
参考
| 何时读 | 文件 |
|---|---|
| 第二轮第 2 步：八种关系的方向、何时用、判定顺序 | references/relations.md |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago First seen · 61 lines · 85 tokens per session scan A 4f65b48154c9
semantic-pkm-creator is a skill published in the GitHub repository ontology-of-everything/SemanticSkills (8 stars, last pushed 2d ago), licensed Apache-2.0. It adds 85 tokens to every session and 1,040 once invoked, about $0.0004 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 2026-09-08.
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