What is Python安全规范?

A small set of Python security rules covering secret storage and code scanning. Python is a programming language, and Bandit is a tool that checks Python code for common security problems.

Use it when developing Python applications that read secrets from environment variables or need a Bandit scan over their source directory.

It discourages putting API keys directly in source code and adds a concrete security scan for Python projects. This helps catch avoidable exposure and risky patterns early.

Python安全规范 — Cursor rule by nongjun

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.

agentmods

npx agentmods add rules/nongjun/feishu-cursor-claw/python

Clone the repo

git clone --depth 1 https://github.com/nongjun/feishu-cursor-claw

Made for: Cursor.

Per session 0 Nothing until a file matches its globs; then the whole rule loads.

When invoked 152 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

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	$0.00000	$0.00152
Opus 5	$0.00000	$0.00076
Sonnet 5	$0.00000	$0.00030
Haiku 4.5	$0.00000	$0.00015

Measured yesterday against content hash 2179fca3f2a4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Python安全规范 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 yesterday.

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.

.cursor/rules/Python安全规范.mdc · 31 lines

What it actually says

Python 安全

本文件以 Python 特定内容扩展通用安全规则。

密钥管理

import os
from dotenv import load_dotenv

load_dotenv()

api_key = os.environ["OPENAI_API_KEY"]  # 缺失时抛出 KeyError

安全扫描

使用 bandit 进行静态安全分析：
```
bandit -r src/
```

参考

Django 项目可参考 Django 官方安全文档（如适用）。

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.

yesterday First seen · 31 lines · 0 tokens per session scan A 2179fca3f2a4

Subscribe to this mod's changes

Python安全规范 is a cursor rule published in the GitHub repository nongjun/feishu-cursor-claw (13 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 152 tokens. 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.

Languages Security ai-agent cursor cursor-agent cursor-ai feishu feishu-bot

Python安全规范

Getting it into your agent

What it costs to keep this loaded

Grade A, and why

Nothing flagged

What it actually says

Python 安全

密钥管理

安全扫描

参考

What this file has done since we first saw it

Other cursor rules, from other repositories

code-optimization

new_features

utilities

dev_workflow

mcp

commands