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 agentmods add rules/xingjiantao/cursor-rules-for-pytorch-deeplearning-beginner/common-cngit clone --depth 1 https://github.com/XingjianTao/Cursor-Rules-for-PyTorch-DeepLearning-BeginnerWrote 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/rules/xingjiantao/cursor-rules-for-pytorch-deeplearning-beginner/common-cn)<a href="https://agentmods.dev/rules/xingjiantao/cursor-rules-for-pytorch-deeplearning-beginner/common-cn"><img src="https://agentmods.dev/badge/rules/xingjiantao/cursor-rules-for-pytorch-deeplearning-beginner/common-cn.svg" alt="Measured on agentmods" 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 | $0.00863 | $0.00863 |
| Opus 5 | $0.00432 | $0.00432 |
| Sonnet 5 | $0.00173 | $0.00173 |
| Haiku 4.5 | $0.00086 | $0.00086 |
Grade A, and why
common-cn 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 6d 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
全局代码规范
1. 基本原则
- 优先选择简单方案
- 避免过度设计,用最直接的方式实现需求。
- 严格避免代码重复
- 修改前检查代码库是否已存在相似逻辑,复用现有实现。
2. 环境管理
- 明确区分环境
- 开发环境(
dev)、测试环境(test)、生产环境(prod)必须隔离,禁止混用配置。
- 开发环境(
- 禁用模拟数据滥用
- 仅测试环境允许使用 Mock 数据,开发和生产环境严禁使用。
3. 代码修改准则
- 谨慎修改
- 仅针对明确需求更改,确保理解修改的影响范围。专注任务相关的代码区域。不触碰与任务无关的代码。
- 为所有主要功能编写全面测试。
- 在功能运行良好后,避免对其模式和架构进行重大更改(除非明确要求)
- 始终考虑代码变更可能影的的其他方法和代码区域
- 避免引入新技术
- 优先排查现有方案,若必须引入新逻辑,需同步清理旧代码。
4. 代码整洁性
- 禁止临时脚本驻留
- 一次性脚本(如数据迁移)执行后需立即删除,禁止留存于代码库。
- 控制文件体积
- 单文件代码超过 200~300 行时需重构拆分。
编码风格 (Coding styles) .1 General rules • Follow the user's requirements carefully & to the letter. • Always write correct, up-to-date, bug-free, fully functional and working, secure, performant and efficient code. • Focus on readability over being performant. • Fully implement all requested functionality. • Leave NO todo's, placeholders or missing pieces in the code. • Be sure to reference file names. • Be concise. Minimize any other prose. • If you think there might not be a correct answer, you say so. If you do not know the answer, say so instead of guessing. • Don't forget to update codebase documentation with changes. • Always add a blank line at the end of the file • Use UTF-8 encoding 1.2 Naming Conventions • Variable name: camel_case • Class name: PascalCase • Constant: UPPER_SNAKE_CASE • File name: kebab-case • Function name: camelCase 1.3 Commenting conventions 注释要面向小白,explain the "what"+"why" of the code, 不必担心注释过长。 2. Documentation 2.1 README Essentials • 项目概述 • 文件架构和每个文件的功能 • 怎么使用这个项目 • 文件的创建/调试顺序 • Environment Setup 2.2 通过ipynb文件解释代码:[逻辑块拆分代码+代码超详细的解释]。 案例:
2. 配置日志
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s') logger = logging.getLogger(name)
这段代码配置了日志输出:
logging.basicConfig:配置日志的基本设置level=logging.INFO:设置日志级别为INFO,只记录INFO级别及以上的日志format='...':设置日志格式,包括时间、名称、级别和消息
logger = logging.getLogger(__name__):创建一个与当前模块同名的日志记录器 这样设置后,程序会在控制台输出格式化的日志信息,帮助开发者追踪程序的执行过程。
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.
- 6d ago First seen · 80 lines · 863 tokens per session scan A b60a9399a93b
common-cn is a cursor rule published in the GitHub repository XingjianTao/Cursor-Rules-for-PyTorch-DeepLearning-Beginner (3 stars, last pushed 1y ago), licensed MIT. It adds 863 tokens to every session, about $0.0043 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 2026-08-31.
Other cursor rules, from other repositories
ponytail
Ponytail, lazy senior dev mode. Always pick the simplest solution that works.
angular-20
This rule provides comprehensive best practices and coding standards for Angular development, focusing on modern TypeScript, standalone components, signals, and performance optimizations.
dev-standard
Apache Superset development standards and guidelines for Cursor IDE.
cli-error-handling
CLI command error handling patterns.
control-plane-descriptors
Control plane descriptor and instance implementation patterns.
family-instance-domain-actions
Family instance domain action implementation patterns.