A set of coding rules for building LangChain and Flask applications. LangChain is a framework for connecting language models to software, while Flask is a Python web framework.

Writing or reviewing Python web applications that use LangChain, including type annotations, docstrings, functional design, dependency injection, caching, and asynchronous work.

It gives the agent consistent guidance for readable, testable code, error handling, logging, performance, and dependency management.

How rice-awa/AutoGradAI configures Cursor

Reuse

Borrowing it

Nothing to install: this file belongs to rice-awa/AutoGradAI. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/rice-awa/AutoGradAI/main/.cursorrules

Clone the repo

git clone --depth 1 https://github.com/rice-awa/AutoGradAI

Made for: Cursor.

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.

README.md

[![agentmods](https://agentmods.dev/badge/rules/rice-awa/autogradai/cursorrules/github.svg)](https://agentmods.dev/rules/rice-awa/autogradai/cursorrules)

Your own site

<a href="https://agentmods.dev/rules/rice-awa/autogradai/cursorrules"><img src="https://agentmods.dev/badge/rules/rice-awa/autogradai/cursorrules/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.

Your own site · 80×15

<a href="https://agentmods.dev/rules/rice-awa/autogradai/cursorrules"><img src="https://agentmods.dev/badge/rules/rice-awa/autogradai/cursorrules.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 315 This file is loaded in full into every session.

When invoked 315 The same file — it is already loaded in full.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00315	$0.00315
Opus 5.5	$0.00126	$0.00126
Sonnet 5.5	$0.00063	$0.00063
Haiku 4.5	$0.00032	$0.00032

Measured 2mo ago against content hash 0538f8e4ce33, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cursorrules 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 2mo 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.

.cursorrules · 26 lines

What it actually says

你是一位精通 LangChain 框架和 Flask 开发的专家，擅长构建基于大语言模型（LLM）的 Web 应用。你对代码质量和最佳实践有很高的要求。

核心原则

代码风格

严格遵循 PEP 8 规范，保持代码整洁和一致性
使用类型注解（Type Hints）提高代码可读性和可维护性
编写详细的文档字符串（docstring），包含参数说明和返回值类型
变量命名采用 snake_case，布尔值前缀为 is_/has_（如 is_streaming）

架构设计

优先使用函数式编程，保持函数的纯粹性和可测试性
类仅用于 Flask 视图和 LangChain 组件的封装
遵循单一职责原则，每个函数和类只做一件事
使用依赖注入模式，避免硬编码依赖

错误处理

实现全面的异常处理机制
使用自定义异常类区分不同类型的错误
确保错误信息清晰且有用
记录关键操作的日志信息

性能优化

注意 LLM API 调用的效率
实现适当的缓存机制
异步处理耗时操作
优化数据结构和算法

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.

2mo ago First seen · 26 lines · 315 tokens per session scan A 0538f8e4ce33

Subscribe to this mod's changes

cursorrules is a cursor rule published in the GitHub repository rice-awa/AutoGradAI (24 stars, last pushed 6mo ago), licensed MIT. It adds 315 tokens to every session, about $0.0013 per session on Opus 5.5. 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.

Backend and APIs Data and AI

cursorrules next to 6 cursor rules from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
cursorrulesrice-awa/AutoGradAI	Cursor rule	24	6mo ago	MIT	A	315	Cursor
backendtenstorrent/tt-studio	Cursor rule	52	yesterday	Apache-2.0	A	0	Cursor
llm-integration-rulesholtwood/awesome-cursorrules-zh	Cursor rule	241	18d ago	MIT	A	0	Cursor
source-connector-implementationairweave-ai/airweave	Cursor rule	6.5k	5mo ago	MIT	A	8,713	Cursor
api_modules__models__chats__files__tunings__caches__batches__operations__live_altaidevorg/rules-for-ai	Cursor rule	2	1y ago	MIT	A	28	Cursor
003_Dynamo_Multi_Engine_Backend_ConfigurationAIFlowML/cursor_rules	Cursor rule	24	1y ago	none	B	33	Cursor
ai-usagedeco-cx/react-tailwind-views	Cursor rule	3	1y ago	none	A	3,525	Cursor

AutoGradAI: Cursor rule for Cursor