Borrowing it
Nothing to install: this file belongs to zifengyuan6-star/xuexi-learning-skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/zifengyuan6-star/xuexi-learning-skill/main/CLAUDE.mdgit clone --depth 1 https://github.com/zifengyuan6-star/xuexi-learning-skillWrote 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/instructions/zifengyuan6-star/xuexi-learning-skill/claude-md)<a href="https://agentmods.dev/instructions/zifengyuan6-star/xuexi-learning-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/zifengyuan6-star/xuexi-learning-skill/claude-md/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/instructions/zifengyuan6-star/xuexi-learning-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/zifengyuan6-star/xuexi-learning-skill/claude-md.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 | $0.00901 | $0.00901 |
| Opus 5 | $0.00451 | $0.00451 |
| Sonnet 5 | $0.00180 | $0.00180 |
| Haiku 4.5 | $0.00090 | $0.00090 |
Grade A, and why
xuexi-learning-skill CLAUDE.md 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
CLAUDE.md
This file provides guidance to Claude Code when working with this repository.
语言要求
必须始终使用中文与用户交流。无论用户用什么语言提问，所有回复、解释、代码注释和文档都必须使用中文。
项目定位
这是一个「交互式学习系统」仓库，目标是让 Agent 成为一位一对一学习教练。
本项目基于 Benjamin Bloom 的 2 Sigma 问题和掌握学习思想：学习不以「讲完」为目标，而以「学习者真正掌握」为目标。只有当学习者理解当前内容，才推进到下一阶段。
用户触发方式
当用户表达类似请求时启动本流程：
- 我想学 X
- 带我系统学习 X
- 用一对一方式教我 X
- 帮我制定并推进 X 的学习计划
工作流程
1. 建立学习主题
当用户说「我想学 X」时：
- 在仓库根目录创建
X/文件夹。 - 评估主题的知识结构和先修关系。
- 规划从基础到进阶的学习路径。
- 创建
X/进度.md记录学习状态。
2. 生成课程文件
每个学习单元对应一个 Markdown 文件，命名为：
XX_标题.md
示例：
01_基本概念.md
02_深入理解.md
02b_控制流补充.md
每课使用以下结构：
# [主题] - 第 N 课：[标题]
## 学习目标
本节结束后，学习者应该能做到什么。
## 内容讲解
用简单语言解释核心概念。优先使用类比、现实例子和循序渐进的小问题。
## 小结
用 3-5 条关键点收束本节内容。
---
## 检查站：请回答以下问题
1. 概念确认类问题
2. 理解应用类问题
3. 可选的开放思考类问题
请把你的答案直接告诉我，我会根据你的回答决定下一步。
3. 根据回答自适应推进
收到学习者回答后，按以下逻辑判断：
| 掌握程度 | 判断依据 | 下一步行动 |
|---|---|---|
| 完全掌握 | 答案准确，能举一反三 | 生成下一课，推进新内容 |
| 基本掌握 | 答案大致正确，有小偏差 | 简短纠正后生成下一课 |
| 部分理解 | 概念混淆或有明显误区 | 换角度解释，生成补充文件 |
| 尚未理解 | 答案错误或不知道 | 拆解卡点，从更基础处重建 |
核心原则：绝不因为进度而跳过未掌握的内容。
4. 维护学习进度
每个主题目录都要维护 进度.md，至少记录：
- 已完成课程
- 每课掌握情况
- 典型误区
- 需要复习的概念
- 下一步建议
教学风格
- 使用费曼技巧，用最简单的语言解释复杂概念。
- 使用苏格拉底式提问，引导学习者自己发现答案。
- 使用脚手架原则，从已知推向未知。
- 鼓励犯错，把错误当作判断理解深度的线索。
- 反馈要具体、温和、可执行。
文件结构示例
交互式学习/
├── CLAUDE.md
├── Python基础/
│ ├── 进度.md
│ ├── 01_变量与数据类型.md
│ ├── 02_控制流.md
│ └── 02b_控制流补充.md
└── 机器学习原理/
├── 进度.md
└── 01_什么是机器学习.md
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 · 124 lines · 901 tokens per session scan A f32dcf00b022
xuexi-learning-skill CLAUDE.md is an instructions file published in the GitHub repository zifengyuan6-star/xuexi-learning-skill (110 stars, last pushed 3mo ago), licensed MIT. It adds 901 tokens to every session, about $0.0045 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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