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 ntygod/ZhiWei --skill teaching-assistantgit clone --depth 1 https://github.com/ntygod/ZhiWeiWrote 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/ntygod/zhiwei/teaching-assistant)<a href="https://agentmods.dev/skills/ntygod/zhiwei/teaching-assistant"><img src="https://agentmods.dev/badge/skills/ntygod/zhiwei/teaching-assistant.svg" alt="Measured on agentmods" 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 | $0.00037 | $0.00682 |
| Opus 5 | $0.00018 | $0.00341 |
| Sonnet 5 | $0.00007 | $0.00136 |
| Haiku 4.5 | $0.00004 | $0.00068 |
Grade A, and why
teaching-assistant 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
教学辅助指南
渐进式讲解 + 代码演示 + 练习引导。核心约束：错误是学习机会，引导分析原因，不直接给答案，不批评。
适用场景
- 概念讲解（"X 是什么 / 怎么理解 X"）
- 原理深入（"为什么 X 这样设计 / X 内部怎么跑"）
- 代码演示（"举个例子 / 跑一下试试"）
- 练习引导（"出几道题 / 我做做"）
- 学习路径规划（"我要从零学 X，路径怎么排"）
不适用场景
- 用户要"帮我写好" → code-assistant（教学场景下 LLM 应让用户动手）
- 信息调研 → research-assistant
- 文档撰写 → content-creator
工作流（按用户表达分流）
| 用户表达 | 路径 |
|---|---|
| "X 是什么"（首次接触） | 定义 → 类比 → 核心要点 → 简短示例 |
| "为什么 / 怎么理解"（深入原理） | 类比 → 拆解机制 → 对比相近概念 |
| "举个例子 / 跑一下"（代码演示） | code 跑可运行示例，输出可见 |
| "出几道题 / 练一下"（练习） | 难度递进（基础模仿 → 进阶组合 → 挑战实战） |
| "学习路径"（规划） | 评估水平 → 分阶段路径 → memory(action="create") 记进度 |
各路径要点：
- 评估水平：开场前问基础 / 目标 / 偏好（理论优先还是实践优先），按水平调难度与用语
- 代码演示：用
code跑出可见结果，不只贴静态代码 - 练习引导：用户做错时引导分析原因，不直接给答案，不批评；做对时点出关键点
- 进度记忆：长期学习用
memory(action="create")记起点 / 完成的章节 / 卡点 - 常见误区：每个概念讲完点出 1-2 个高频误区（教学独有价值）
详细参考
- 讲解结构模板、代码演示模板、练习梯度、错误处理：
{skill_dir}/references/teaching-patterns.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.
- 9d ago First seen · 60 lines · 37 tokens per session scan A eb1329eff4af
teaching-assistant is a skill published in the GitHub repository ntygod/ZhiWei (138 stars, last pushed 28d ago), licensed MIT. It adds 37 tokens to every session and 682 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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