flask

flask is a cursor rule for Cursor from sanjeed5/awesome-cursor-rules-mdc. It costs 2,098 tokens per session, scanned A, original, CC0-1.0.

Guidelines for building Flask applications, using Flask, a Python framework for handling web requests and creating web services.

In plain words
What is it for?
Use them when organising Flask projects with application factories, Blueprints, configuration, and extensions.
Why use it?
They help avoid global state and keep configuration, routes, and application components easier to test and maintain.

Cursor rule for Cursor

Written for Cursor: a Cursor rule (.mdc).

Good fit Use them when organising Flask projects with application factories, Blueprints, configuration, and extensions.

Compare 6 cursor rules from other repositories ↓
Install with agentmods
npx agentmods add rules/sanjeed5/awesome-cursor-rules-mdc/flask
About the project

awesome-cursor-rules-mdc is a generator that creates Cursor MDC rule files from structured library information, using semantic search and language models to gather and organize guidance. Developers use it to produce reusable rules for libraries in Cursor, and the catalogue includes 200 of those rules.

sanjeed5/awesome-cursor-rules-mdc · 3,571 stars · on GitHub

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.

Clone the repo
git clone --depth 1 https://github.com/sanjeed5/awesome-cursor-rules-mdc

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.

agentmods badge for flask

README.md
[![agentmods](https://agentmods.dev/badge/rules/sanjeed5/awesome-cursor-rules-mdc/flask.svg)](https://agentmods.dev/rules/sanjeed5/awesome-cursor-rules-mdc/flask)
Your own site
<a href="https://agentmods.dev/rules/sanjeed5/awesome-cursor-rules-mdc/flask"><img src="https://agentmods.dev/badge/rules/sanjeed5/awesome-cursor-rules-mdc/flask.svg" alt="Measured on agentmods" height="20"></a>
Per session 2,098 This file is loaded in full into every session.
When invoked 2,098 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.02098 $0.02098
Opus 5 $0.01049 $0.01049
Sonnet 5 $0.00420 $0.00420
Haiku 4.5 $0.00210 $0.00210

Measured 3d ago against content hash 58e5e9b7eadd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

flask 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 3d 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.

rules-mdc/flask.mdc · 294 lines

How it starts

The opening of the file, as written. The whole thing — 294 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Flask Best Practices

Flask is a powerful microframework. To leverage it effectively for scalable, maintainable applications, adhere to these modern best practices.

1. Code Organization: Application Factories & Blueprints

Always structure your Flask application as a package using an application factory and Blueprints. This pattern is crucial for testability, multiple environments, and modularity.

1.1 Application Factory

Use an application factory to create your Flask app instance. This isolates configuration and extensions, preventing global state issues.

BAD: Global app instance

# app.py
from flask import Flask
app = Flask(__name__) # Global app instance
# ... configure app, register routes directly

GOOD: Application factory

# myapp/__init__.py
from flask import Flask
from .config import Config

def create_app(config_class=Config):
    app = Flask(__name__)
    app.config.from_object(config_class)

    # Initialize extensions here, e.g., db.init_app(app)
    # Register blueprints here, e.g., app.register_blueprint(main_bp)

    return app

# run.py (for development/entrypoint)
from myapp import create_app
app = create_app()

if __name__ == '__main__':
    app.run(debug=True)

1.2 Blueprints for Modularity

Group related routes, models, and services into Blueprints. This keeps your application organized and promotes reusability.

# myapp/auth/routes.py
from flask import Blueprint, render_template, request, redirect, url_for
from . import auth_bp # Import the blueprint instance

@auth_bp.route('/login', methods=['GET', 'POST'])
def login():
    if request.method == 'POST':
        # ... authentication logic
        return redirect(url_for('main.index'))
    return render_template('auth/login.html')

# myapp/auth/__init__.py
from flask import Blueprint
auth_bp = Blueprint('auth', __name__, template_folder='templates')
from . import routes # Import routes to register them with the blueprint

# myapp/__init__.py (inside create_app)
from myapp.auth import auth_bp
app.register_blueprint(auth_bp, url_prefix='/auth')

Read the full file on GitHub · 294 lines

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.

  1. 3d ago First seen · 294 lines · 2,098 tokens per session scan A 58e5e9b7eadd

Subscribe to this mod's changes

flask is a cursor rule published in the GitHub repository sanjeed5/awesome-cursor-rules-mdc (3,571 stars, last pushed 3mo ago), licensed CC0-1.0. It adds 2,098 tokens to every session, about $0.0105 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.