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 SuperChason/ontology-driven-ai-data-management-skills --skill ontology-conceptual-model-designgit clone --depth 1 https://github.com/SuperChason/ontology-driven-ai-data-management-skillsWrote 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/superchason/ontology-driven-ai-data-management-skills/ontology-conceptual-model-design)<a href="https://agentmods.dev/skills/superchason/ontology-driven-ai-data-management-skills/ontology-conceptual-model-design"><img src="https://agentmods.dev/badge/skills/superchason/ontology-driven-ai-data-management-skills/ontology-conceptual-model-design/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/superchason/ontology-driven-ai-data-management-skills/ontology-conceptual-model-design"><img src="https://agentmods.dev/badge/skills/superchason/ontology-driven-ai-data-management-skills/ontology-conceptual-model-design.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 | $0.00101 | $0.01034 |
| Opus 5 | $0.00051 | $0.00517 |
| Sonnet 5 | $0.00020 | $0.00207 |
| Haiku 4.5 | $0.00010 | $0.00103 |
Grade A, and why
ontology-conceptual-model-design 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
本体概念模型设计
方法骨架
- 把有来源或明确假设的语义条目按确认状态组织成业务人员可理解、可审查的整体模型，建立模型结构和跨视图一致性。
- 概念模型保留业务名称、定义、来源和示例，暂不绑定具体 RDF/OWL 语法。
- 分类继承、组成关系、影响关系、状态变化、规则路径和动作权限分别展示，避免用一张大图混合所有语义。
- 每个 Agent 任务都要能沿“输入事实—关系/规则—判断—权限—动作—完成条件”找到模型支撑。
- 可继续生成隔离的候选逻辑本体供审查；业务专家确认约束正式语义生效与生产准入。
需要视图清单和检查项时读取 概念模型视图契约。
执行步骤
-
确定模型模块
- 动作：按 Agent 任务和业务边界划分公共引用、场景对象、规则、动作和目标模块。
- 完成标准：每个模块职责、依赖和适用范围明确。
-
构建对象与概念视图
- 动作：组织核心对象、概念继承、分类方案、属性、标识和实例示例。
- 完成标准：父子概念、组成对象和代码枚举没有混用。
-
构建关系、规则和状态视图
- 动作：分别表达关系网络、规则决策表、事件触发和状态流转。
- 完成标准：关系方向、规则条件、状态入口出口和例外可审查。
-
构建流程、动作和权限视图
- 动作：关联任务、角色、权限、Action 输入输出、前置条件、效果和人工介入。
- 完成标准：每个可执行动作有授权和失败边界。
-
构建目标与解释路径
- 动作：把场景目标、任务完成条件和评价口径连接到事实、规则、判断和结果。
- 完成标准：能够解释推荐或行动服务于什么目标。
-
执行跨视图审查
- 动作：检查重名、孤立、重复、冲突、缺失和跨视图标识不一致，形成专家问题清单。
- 完成标准：业务专家能够逐项确认或退回语义建模。
固定输出
- 模型模块与依赖图
- 概念关系图和类层级树
- 业务分类方案和属性详情
- 对象关系视图
- 规则决策表
- 事件与状态流转图
- 流程、Action 输入输出和权限矩阵
- 实例示例视图
- 场景目标、完成条件和解释路径
- 模型元素清单与专家评审问题
使用边界
- 正式概念模型只使用已确认语义；草稿可纳入候选条目，并单独着色或分区。
- 一张图只承载一种主要审查目的，复杂场景拆成多个可组合视图。
- 图形美观不能替代语义完整性和业务确认。
- 具体命名空间、类属性声明和 SHACL 约束进入逻辑模型阶段。
相关 Skills
depends-on→scenario-related-semantic-modeling。feeds-into→ontology-logical-model-generation和ontology-model-multilayer-quality-gate。
审计信息
- 首次公开版本：2026-08-31
- 来源说明：面向本体业务审查和工程交接独立整理。
What ships with it
4 files 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 Changed 2746263ab6b2
- 8d ago First seen · 77 lines · 101 tokens per session scan A 699b7465fdc6
ontology-conceptual-model-design is a skill published in the GitHub repository SuperChason/ontology-driven-ai-data-management-skills (10 stars, last pushed 5d ago), licensed MIT. It adds 101 tokens to every session and 1,034 once invoked, about $0.0005 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 2026-09-04.
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