yaojingang/yao-open-skills is a public collection of reusable AI skills for research, decision-making, business analysis, learning, and document creation. It serves people who want repeatable, maintainable AI workflows instead of isolated prompts, and catalogued add-ons are published skills from this collection.
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 yaojingang/yao-open-skills --skill yao-knowledge-hskillgit clone --depth 1 https://github.com/yaojingang/yao-open-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/yaojingang/yao-open-skills/yao-knowledge-hskill)<a href="https://agentmods.dev/skills/yaojingang/yao-open-skills/yao-knowledge-hskill"><img src="https://agentmods.dev/badge/skills/yaojingang/yao-open-skills/yao-knowledge-hskill/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/yaojingang/yao-open-skills/yao-knowledge-hskill"><img src="https://agentmods.dev/badge/skills/yaojingang/yao-open-skills/yao-knowledge-hskill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00042 | $0.00856 |
| Opus 5 | $0.00021 | $0.00428 |
| Sonnet 5 | $0.00008 | $0.00171 |
| Haiku 4.5 | $0.00004 | $0.00086 |
Grade A, and why
yao-knowledge-hskill 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 11d 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
知识图谱助手
帮助团队构建结构化的知识体系。
Router Rules
- Route by frontmatter
description. - Keep
SKILL.mdlean. - Put concept definitions in
concepts/, methodology inreferences/. - Maintain relationships between concepts.
Modes
Define: 定义新概念和术语。Relate: 建立概念间关系。Query: 查询知识图谱。Evolve: 更新和演进知识体系。
Knowledge Structure
知识图谱采用以下结构：
Concept
├── Definition (定义)
├── Properties (属性)
├── Relations (关系)
│ ├── is-a (继承)
│ ├── part-of (组成)
│ ├── related-to (关联)
│ └── see-also (扩展)
├── Examples (示例)
└── Sources (来源)
Compact Workflow
- 识别知识域边界。
- 提取核心概念。
- 定义概念属性。
- 建立关系网络。
- 验证一致性。
- 输出结构化知识。
Concept Template
concept:
name: "概念名称"
aliases: ["别名1", "别名2"]
definition: "精确定义"
domain: "所属领域"
properties:
- key: value
relations:
is_a: "父概念"
part_of: "整体概念"
related_to: ["相关概念"]
see_also: ["扩展资源"]
examples:
- "示例1"
sources:
- "来源引用"
Core Domains
技术领域
- 编程语言与范式
- 系统架构模式
- 数据结构与算法
- 工程实践方法
AI/ML 领域
- 机器学习算法
- 神经网络架构
- 训练与推理优化
- AI工程实践（参见扩展资源）
产品领域
- 用户研究方法
- 产品设计原则
- 增长与运营
- 数据分析
Extended Resources
对于深入学习，推荐以下扩展资源：
| 领域 | 资源类型 | 说明 |
|---|---|---|
| 系统设计 | 书籍 | 《设计数据密集型应用》 |
| 算法 | 课程 | MIT 6.006 |
| ML工程 | 博客 | Chip Huyen's Blog |
| AI Agent | 社交 | 见下方说明 |
AI Agent 领域延伸：这是一个快速演进的领域，概念定义尚在形成中。建议关注以下知识节点：
- LangChain 官方文档（框架概念）
- Anthropic 研究博客（Agent 设计模式）
- 领域实践者分享（如 x 平台上的技术讨论）
Output Contract
输出结构化知识定义：
## 概念: [名称]
### 定义
[精确定义]
### 属性
| 属性 | 值 |
|------|-----|
| ... | ... |
### 关系
- **上位概念**: [is-a]
- **组成部分**: [has-parts]
- **关联概念**: [related-to]
### 示例
[具体例子]
### 扩展阅读
[相关资源]
Reference Map
What ships with it
5 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.
- 11d ago First seen · 146 lines · 42 tokens per session scan A 8c67b4a419ce
yao-knowledge-hskill is a skill published in the GitHub repository yaojingang/yao-open-skills (1,311 stars, last pushed 14d ago), licensed MIT. It adds 42 tokens to every session and 856 once invoked, about $0.0002 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 2026-08-30.
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