teach-zh

teach-zh is a skill for Claude Code from gongyijie85/mattpocock-skills-dsh-zh. It costs 22 tokens per session (2,195 once invoked), scanned A, original, MIT.

A teaching workflow for helping a user learn a subject over multiple sessions. It stores the learner’s goals, reference material, lessons, notes, and learning records in the current workspace.

In plain words
What is it for?
Use it to create lessons, reference pages, learning records, and study plans tailored to the learner’s goals and progress.
Why use it?
It gives lessons continuity instead of treating every explanation as a separate conversation. It also supports both immediate understanding and longer-term retention.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Good fit Use it to create lessons, reference pages, learning records, and study plans tailored to the learner’s goals and progress.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gongyijie85/mattpocock-skills-dsh-zh/teach-zh
Install

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.

Any agent
npx skills add gongyijie85/mattpocock-skills-dsh-zh --skill teach-zh
Clone the repo
git clone --depth 1 https://github.com/gongyijie85/mattpocock-skills-dsh-zh

Made for: Claude Code.

Wrote 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.

agentmods badge for teach-zh

README.md
[![agentmods](https://agentmods.dev/badge/skills/gongyijie85/mattpocock-skills-dsh-zh/teach-zh/github.svg)](https://agentmods.dev/skills/gongyijie85/mattpocock-skills-dsh-zh/teach-zh)
Your own site
<a href="https://agentmods.dev/skills/gongyijie85/mattpocock-skills-dsh-zh/teach-zh"><img src="https://agentmods.dev/badge/skills/gongyijie85/mattpocock-skills-dsh-zh/teach-zh/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.

agentmods 80×15 button for teach-zh

Your own site · 80×15
<a href="https://agentmods.dev/skills/gongyijie85/mattpocock-skills-dsh-zh/teach-zh"><img src="https://agentmods.dev/badge/skills/gongyijie85/mattpocock-skills-dsh-zh/teach-zh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,195 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00022 $0.02195
Opus 5 $0.00011 $0.01097
Sonnet 5 $0.00004 $0.00439
Haiku 4.5 $0.00002 $0.00219

Measured yesterday against content hash ca47cca386e3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

teach-zh 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 yesterday.

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.

skills/teach-zh/SKILL.md · 141 lines

How it starts

The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.

用户请你教他们一些东西。这是一个有状态的请求——他们打算在多次会话中持续学习这个主题。

教学工作区

将当前目录视为教学工作区。用户的学习状态通过该目录中的若干文件来记录:

  • MISSION.md:一份记录用户对主题感兴趣_原因_的文档。所有教学都应以此为根基。格式参见 MISSION-FORMAT.md
  • ./reference/*.html:参考资料目录。这些是各课程压缩后的学习成果——速查表、参考算法、语法、瑜伽体式、术语表。它们是学习的基本单元,应当是排版美观、打印效果良好、便于快速查阅的文档。
  • RESOURCES.md:一份资源清单,可用于将教学扎根于情境知识,或获取知识与智慧。格式参见 RESOURCES-FORMAT.md
  • ./learning-records/*.md:学习记录目录,记录用户已学到的内容。这些记录大致相当于软件开发中的架构决策记录(ADRs)——它们捕捉不易察觉的经验教训和关键洞见,这些内容日后可能需要修订,或会驱动后续会话。它们应被用来估算用户的最近发展区。文件命名为 0001-<dash-case-name>.md,编号逐次递增。格式参见 LEARNING-RECORD-FORMAT.md
  • ./lessons/*.html:课程目录。lesson(课程) 是一个独立的 HTML 输出,讲授一个与 mission 紧密相关、范围明确的内容。这是本工作区的主要教学单元。
  • ./assets/*:跨课程共享的可复用组件。参见 Assets
  • NOTES.md:供你记录用户偏好的便签,或工作笔记。

理念

要深度学习,用户需要三样东西:

  • Knowledge(知识),从高质量、高可信度的资源中获取
  • Skills(技能),通过你基于知识设计的、高度相关的互动课程习得
  • Wisdom(智慧),来自与其他学习者和实践者的互动

RESOURCES.md 内容充实之前,你的重点应是寻找能帮助用户获取知识的高质量资源。永远不要相信你的参数化知识(parametric knowledge)。

有些主题对技能的需求多于对知识的需求。深入学习理论物理可能更偏知识型;而瑜伽则更偏技能型。

流畅度与存储强度

你应当仔细区分两种类型的学习:

  • Fluency strength(流畅度):当下的知识提取能力
  • Storage strength(存储强度):知识的长期保持能力

流畅度会给用户一种虚幻的掌握感,但存储强度才是真正的目标。尝试通过理想难度(desirable difficulty)设计能建立长期记忆的课程:

  • 使用提取练习(retrieval practice,从记忆中回想)
  • 间隔练习(spacing,将练习分散到一段时间内)
  • 交错练习(interleaving,在练习中混合不同但相关的主题——仅用于技能练习)

课程

课程是你产出的主要内容——知识以课程为载体到达用户。每节课都是一个独立的 HTML 文件,保存到 ./lessons/ 目录,命名为 0001-<dash-case-name>.html,编号逐次递增。

课程应当美观——排版和布局干净、易读——因为用户日后会回来复习这些内容。想想 Tufte。

课程应当简短,能很快完成。学习者的工作记忆非常有限,我们需要把内容控制在这个范围内。但每节课都应给用户一个实实在在的小成果,供其在此基础上继续。课程应与 mission 直接挂钩,并且落在用户的最近发展区内。

如果可能,通过运行 CLI 命令为用户打开课程文件。

每节课都应通过 HTML 锚点链接到其他课程和参考文档。

每节课都应推荐一个供用户阅读或观看的一手来源(primary source)。这应当是你针对该主题找到的最优质、最可信的资源。

每节课都应包含一段提醒,鼓励用户向 agent 提出后续问题。agent 是他们的老师,可以协助解答任何不清楚的地方。

Assets

课程由可复用的组件构建,组件存放在 ./assets/ 中:样式表、测验小部件、模拟器、图表辅助工具——任何第二节课可能复用的东西。

复用是默认做法,而非例外。编写课程之前,先阅读 ./assets/,从已有的组件开始构建。当课程需要新的可复用内容时,将其作为组件写入 ./assets/ 并链接到它——绝不内联编写未来课程会重复的代码。

Read the full file on GitHub · 141 lines

Changes

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.

  1. yesterday First seen · 141 lines · 22 tokens per session scan A ca47cca386e3

Subscribe to this mod's changes

teach-zh is a skill published in the GitHub repository gongyijie85/mattpocock-skills-dsh-zh (5 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 2,195 once invoked, about $0.0001 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 2026-09-11.