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.
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.
git clone --depth 1 https://github.com/sanjeed5/awesome-cursor-rules-mdcWrote 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/sanjeed5/awesome-cursor-rules-mdc/sanic)<a href="https://agentmods.dev/rules/sanjeed5/awesome-cursor-rules-mdc/sanic"><img src="https://agentmods.dev/badge/rules/sanjeed5/awesome-cursor-rules-mdc/sanic.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 | $0.01214 | $0.01214 |
| Opus 5 | $0.00607 | $0.00607 |
| Sonnet 5 | $0.00243 | $0.00243 |
| Haiku 4.5 | $0.00121 | $0.00121 |
Grade A, and why
sanic 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 4d 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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
sanic Best Practices
Sanic is built for speed and scalability. To harness its full power and maintain a robust codebase, adhere strictly to these guidelines.
1. Code Organization and Structure
Always structure your Sanic application using the factory pattern and Blueprints for modularity. Keep configuration separate.
❌ BAD: Global app instance, monolithic file
# app.py
from sanic import Sanic, response
app = Sanic("my_app") # Global instance is hard to test and configure
@app.route("/")
async def hello_world(request):
return response.json({"message": "Hello!"})
# Configuration directly in code
app.config.DB_URL = "sqlite:///db.sqlite"
✅ GOOD: Factory pattern, Blueprints, external config
# config.py
import os
class Config:
DB_URL = os.getenv("DB_URL", "sqlite:///db.sqlite")
SECRET_KEY = os.getenv("SECRET_KEY", "super-secret-key")
# app.py
from sanic import Sanic
from .config import Config
from .blueprints.users import bp as users_bp
from .blueprints.auth import bp as auth_bp
def create_app() -> Sanic:
app = Sanic("my_app")
app.config.update(Config.__dict__) # Load config from a dedicated object
app.blueprint(users_bp)
app.blueprint(auth_bp)
# Add listeners, middleware, etc. here
@app.listener("before_server_start")
async def setup_db(app, loop):
# Example: Initialize a database connection pool
app.ctx.db = "AsyncDatabaseConnection" # Placeholder for actual DB setup
print(f"Connecting to DB: {app.config.DB_URL}")
return app
# blueprints/users.py
from sanic import Blueprint, Request, response
from typing import Dict, Any
bp = Blueprint("users", url_prefix="/users")
@bp.route("/", methods=["GET"])
async def get_all_users(request: Request) -> response.HTTPResponse:
# Simulate async DB call using app.ctx.db
# await request.app.ctx.db.fetch_all("SELECT * FROM users")
return response.json([{"id": 1, "name": "Alice"}])
@bp.route("/<user_id:int>", methods=["GET"])
async def get_user(request: Request, user_id: int) -> response.HTTPResponse:
# Simulate async DB call
# user = await request.app.ctx.db.fetch_one(f"SELECT * FROM users WHERE id={user_id}")
user = {"id": user_id, "name": "Alice"} # Placeholder
if user:
return response.json(user)
return response.json({"message": "User not found"}, status=404)
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.
- 4d ago First seen · 152 lines · 1,214 tokens per session scan A 96c0a2b39180
sanic 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 1,214 tokens to every session, about $0.0061 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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