asyncio

asyncio is a cursor rule for coding agents from sanjeed5/awesome-cursor-rules-mdc. It costs 1,523 tokens per session, scanned A, original, CC0-1.0.

A set of rules for using asyncio, Python's standard library for running waiting-heavy tasks concurrently, such as network requests or file operations. It explains how to structure async and await code and manage tasks.

In plain words
What is it for?
Use it when building Python programs that perform many I/O operations at once, such as web services, network clients, or background workers.
Why use it?
It helps prevent unfinished tasks, resource leaks, and confusing event-loop code. It gives the application one clear way to start and manage asynchronous work.

Cursor rule

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.

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

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 asyncio

README.md
[![agentmods](https://agentmods.dev/badge/rules/sanjeed5/awesome-cursor-rules-mdc/asyncio.svg)](https://agentmods.dev/rules/sanjeed5/awesome-cursor-rules-mdc/asyncio)
Your own site
<a href="https://agentmods.dev/rules/sanjeed5/awesome-cursor-rules-mdc/asyncio"><img src="https://agentmods.dev/badge/rules/sanjeed5/awesome-cursor-rules-mdc/asyncio.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,523 This file is loaded in full into every session.
When invoked 1,523 The same file — it is already loaded in full.
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.

ModelPer sessionOnce invoked
Fable 5 $0.01523 $0.01523
Opus 5 $0.00762 $0.00762
Sonnet 5 $0.00305 $0.00305
Haiku 4.5 $0.00152 $0.00152

Measured 5d ago against content hash be97194d1758, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

asyncio 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 5d 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/asyncio.mdc · 196 lines

How it starts

The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.

asyncio Best Practices

asyncio is Python's standard library for writing concurrent, I/O-bound code using async/await. This guide provides opinionated, actionable rules to ensure your asyncio applications are structured, performant, and easy to maintain.

1. Structured Concurrency: Entry Points and Task Management

Always use asyncio.run() as the single top-level entry point for your asynchronous application. Manage concurrent operations explicitly with asyncio.create_task(), ensuring all tasks are awaited or handled.

1.1. Top-Level Entry Point

Use asyncio.run() once to start your main coroutine. Enable debug mode during development for critical warnings about un-awaited coroutines and resource leaks.

❌ BAD: Manually managing event loops or calling loop.run_until_complete().

import asyncio

async def main():
    print("Hello")

# Don't do this in application code; it's low-level and error-prone.
loop = asyncio.get_event_loop()
loop.run_until_complete(main())
loop.close()

✅ GOOD: Use asyncio.run() with debug=True for development.

import asyncio

async def main():
    print("Hello from main!")
    await asyncio.sleep(0.1)
    print("Goodbye from main!")

if __name__ == "__main__":
    asyncio.run(main(), debug=True) # Always enable debug in dev!

1.2. Launching Concurrent Tasks

Use asyncio.create_task() to schedule coroutines to run concurrently. Always store a reference to the Task object to prevent it from being garbage collected prematurely, which can lead to silent failures and unhandled exceptions.

❌ BAD: Calling a coroutine without await or create_task().

import asyncio

async def fetch_data(url: str):
    print(f"Fetching {url}...")
    await asyncio.sleep(1) # Simulate network I/O
    print(f"Finished fetching {url}")
    return f"Data from {url}"

async def main():
    # This coroutine will never run!
    fetch_data("http://example.com/api/data")
    print("Main finished without waiting for data.")

if __name__ == "__main__":
    asyncio.run(main(), debug=True)
# Output: RuntimeWarning: coroutine 'fetch_data' was never awaited
# Main finished without waiting for data.

Read the full file on GitHub · 196 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. 5d ago First seen · 196 lines · 0 tokens per session scan A be97194d1758

Subscribe to this mod's changes

asyncio 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 1,523 tokens to every session, about $0.0076 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 2026-08-30.