Borrowing it
Nothing to install: this file belongs to zsutxz/ClaudeLearning. 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/zsutxz/ClaudeLearning/main/CLAUDE.mdgit clone --depth 1 https://github.com/zsutxz/ClaudeLearningWrote 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/zsutxz/claudelearning/claude-md)<a href="https://agentmods.dev/instructions/zsutxz/claudelearning/claude-md"><img src="https://agentmods.dev/badge/instructions/zsutxz/claudelearning/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/zsutxz/claudelearning/claude-md"><img src="https://agentmods.dev/badge/instructions/zsutxz/claudelearning/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 | $0.01534 | $0.01534 |
| Opus 5 | $0.00767 | $0.00767 |
| Sonnet 5 | $0.00307 | $0.00307 |
| Haiku 4.5 | $0.00153 | $0.00153 |
Grade A, and why
ClaudeLearning 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
语言和Git规则
- 语言:使用中文进行交流
- Git规则:不自动提交任何代码更改,手动提交前需要明确确认
Project Overview
多项目技术试验仓库,包含独立的子项目。每个子项目有自己的依赖和运行方式,必须在各自目录下运行(导入路径依赖)。
子项目
AgentSdkTest — 多模型AI代理框架
Python 3.10+ 项目,提供统一的AI代理接口,支持 Claude(智谱AI)/OpenAI/DeepSeek/Ollama 多模型切换。
核心架构:UniversalAIAgent(基类)→ UniversalTaskAgent / UniversalCodeAgent / UniversalTalkAgent,通过 provider 参数切换模型。工厂模式在 lib/factory.py,基类与子类在 lib/multi_agent.py。
cd AgentSdkTest
pip install -r requirements.txt # 安装依赖
python quick_start.py # 交互式菜单(主入口,推荐)
python run_all_examples.py # 运行所有示例
环境变量配置在 config/.env,加载优先级:config/.env > .env。API密钥格式为智谱AI(id.secret)。
导入路径:必须在 AgentSdkTest 目录下运行,使用 from lib.multi_agent import UniversalAIAgent。AgentSdkTest 有独立的 .mcp.json。
Research — 技术调研代理
继承 UniversalTaskAgent,添加文献检索、数据处理、报告生成、质量检查模块(modules/:literature_retriever、data_processor、report_generator、quality_checker、tool_manager)。
cd Research
pip install -r requirements.txt
python example_usage.py # 运行示例
pytest test/ # 运行测试(test_research_agent.py)
所有方法都是异步的,需要 asyncio.run() 调用。Research 自动将 AgentSdkTest 添加到 sys.path(from lib.multi_agent import UniversalTaskAgent)。Research/reports/ 已在 .gitignore 排除。
Prompt/ — 提示词模板集合
中文提示词模板(Gemini、翻译、排版、打分器等),纯 Markdown 文本。
_bmad/ — BMAD 企业框架(当前 v6.10.0,bmb v2.1.0)
BMAD 工作流通过 Claude Code 技能系统调用,模块在 _bmad/bmb(Builder)与 _bmad/bmm(Model)。配置 _bmad/config.toml / config.user.toml 由 installer 管理勿手改,持久定制放 _bmad/custom/。技能以 bmad-* 前缀调用(如 bmad-prd、bmad-agent-pm、bmad-architecture)。产物输出到 _bmad-output/。
升级(在项目根、非交互执行):
npx bmad-method@latest install --action quick-update --directory . --yes # 同版本快速更新(保留 custom/)
npx bmad-method@latest install --action update --pin bmb=<tag> --directory . --yes # 跨版本 / 改 external 模块 pin
注意:交互 prompt 在非 TTY(脚本)下会卡住,须显式 --directory + --yes;quick-update 不跨版本,update/install 才重新解析 external;--action update 会用系统用户名覆盖 user_name,需在 _bmad/custom/config.user.toml 持久化保护。
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.
- 8d ago First seen · 97 lines · 1,534 tokens per session scan A 41ae7c065d45
ClaudeLearning CLAUDE.md is an instructions file published in the GitHub repository zsutxz/ClaudeLearning (5 stars, last pushed 1mo ago), licensed MIT. It adds 1,534 tokens to every session, about $0.0077 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 2026-09-03.
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