teach

teach is a skill for Claude Code, Codex from devcxl/mattpocock-skills-zh. It costs 18 tokens per session (2,135 once invoked), scanned A, original, MIT.

A workspace-based teaching guide for helping a user learn a new skill or concept over multiple sessions. It uses mission notes, reference materials, lessons, resources, and learning records to track progress.

In plain words
What is it for?
Use it to plan focused lessons, create printable reference material, record learning milestones, and adapt future teaching to the learner’s progress.
Why use it?
It gives lessons a continuing purpose and keeps track of what the learner already knows. It also encourages practice and long-term retention.

Skill for Claude CodeCodex

Written for Claude Code and Codex: disable-model-invocation in frontmatter, but also agents/openai.yaml present.

Part of the mattpocock-skills plugin — 37 skills shipped together

Good fit Use it to plan focused lessons, create printable reference material, record learning milestones, and adapt future teaching to the learner’s progress.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/devcxl/mattpocock-skills-zh/teach
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 devcxl/mattpocock-skills-zh --skill teach
Clone the repo
git clone --depth 1 https://github.com/devcxl/mattpocock-skills-zh

Made for: Claude Code, Codex.

Or install mattpocock-skills, the plugin that ships this one along with the rest of its 37 skills.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/devcxl/mattpocock-skills-zh/teach"><img src="https://agentmods.dev/badge/skills/devcxl/mattpocock-skills-zh/teach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,135 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00018 $0.02135
Opus 5 $0.00009 $0.01068
Sonnet 5 $0.00004 $0.00427
Haiku 4.5 $0.00002 $0.00214

Measured 10d ago against content hash 92c1a8ed5a33, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

teach 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 10d 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.

skills/productivity/teach/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.

用户让你教他们一些东西。这是一个有状态的请求:他们打算通过多个会话来学习这个主题。

教学工作区

将当前目录视为教学工作区。他们的学习状态通过以下几个文件记录在此目录中:

  • MISSION.md:记录用户对这个主题感兴趣的原因的文档。所有教学都应以此为基准。使用 MISSION-FORMAT.md 中的格式。
  • ./reference/*.html:参考资料目录。这些是课程的压缩学习成果:速查表、参考算法、语法、瑜伽体式、词汇表。它们是学习的原始单元。应该是排版精美的文档,适合打印,并且为快速查阅而设计。
  • RESOURCES.md:一份资源列表,可以探索以将你的教学建立在情境化知识上,或获取知识和智慧。使用 RESOURCES-FORMAT.md 中的格式。
  • ./learning-records/*.md:学习记录目录,记录用户已经学会了什么。这大致相当于软件开发中的架构决策记录:它们捕获那些非显而易见的教训和关键见解,后续可能需要修正,或用于驱动未来的课程。这些应用于计算最近发展区。文件命名格式为 0001-<dash-case-name>.md,编号每次递增。使用 LEARNING-RECORD-FORMAT.md 中的格式。
  • ./lessons/*.html:课程目录。课程是一个独立、自包含的 HTML 输出,教授一个与使命紧密相关的、范围狭窄的内容。这是本工作区教学的主要单元。
  • ./assets/*:跨课程共享的可复用组件。参见 Assets(资源)
  • NOTES.md:供你记录用户偏好或工作笔记的草稿本。

哲学

要深度学习,用户需要三样东西:

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

RESOURCES.md 充分充实之前,你的重点应该是寻找能帮助用户获取知识的高质量资源。绝不要信任你的参数化知识。

某些主题可能需要更多技能而非知识。学习理论物理可能更偏重知识。瑜伽则更偏重技能。

流利度 vs 存储强度

你应该小心区分两种学习:

  • 流利度(Fluency strength):当下即时调取知识的能力
  • 存储强度(Storage strength):长期保留知识的能力

流利度会给用户一种虚假的掌握感,但存储强度才是真正的目标。尝试设计能通过适度困难建立长期记忆的课程:

  • 使用检索练习(从记忆中回忆)
  • 间隔(将练习分散到不同时间)
  • 交错(在练习中混合不同但相关的主题:仅适用于技能练习)

课程

课程是你生产的主要内容:知识和技能到达用户的单元。每个课程是一个独立的 HTML 文件,保存在 ./lessons/ 中,命名格式为 0001-<dash-case-name>.html,编号递增。

课程应该精美:干净、可读的排版和布局:因为用户以后会回来看。想想 Tufte 的设计哲学。

课程应该简短,能在很短的时间内完成。学习者的工作记忆非常有限,我们需要保持在它的容量之内。但每节课都应该给用户一个具体、可触及的成果,让他们能在此基础上继续前进。它应该直接与使命相关,并且处于用户的最近发展区。

如果可能,通过运行 CLI 命令为用户打开课程文件。

每个课程应通过 HTML 锚点链接到其他课程和参考文档。

每个课程应推荐一个主要来源供用户阅读或观看。这应该是你找到的关于该主题的最高质量、最高信任度的资源。

每个课程应包含一条提醒,让用户可以向智能体提问。智能体是他们的老师,可以协助解答任何不清楚的地方。

Assets(资源)

课程由可复用的组件构建,存放在 ./assets/ 下:样式表、测验组件、模拟器、图表辅助工具:任何可能被第二个课程复用的内容。

复用是默认原则,而非例外。在编写课程之前,先阅读 ./assets/,从已有的组件开始构建。当课程需要新东西且可复用时,将其作为组件写入 ./assets/ 并引用:切勿内联编写未来课程会重复的代码。

共享样式表是每个工作区的第一个组件:每节课都链接它,使所有课程看起来像一套连贯的课程体系,而非一堆一次性产物。随着工作区的增长,组件库也应随之增长。

使命

每节课都应该与使命挂钩:也就是用户对学习该主题感兴趣的原因

Read the full file on GitHub · 141 lines

Files

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.

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. 10d ago First seen · 141 lines · 18 tokens per session scan A 92c1a8ed5a33

Subscribe to this mod's changes

teach is a skill published in the GitHub repository devcxl/mattpocock-skills-zh (331 stars, last pushed 5d ago), licensed MIT. It adds 18 tokens to every session and 2,135 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 2026-08-30.

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