async-python

Patterns for writing Python code that performs many input and network operations concurrently using asyncio.

In plain words
What is it for?
Use it with async functions and libraries such as aiohttp or asyncpg, including batching tasks, limiting concurrency, and adding timeouts.
Why use it?
It helps avoid waiting for each operation to finish before starting the next one, while handling errors and limits.

Skill for Claude CodeCodex

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 skills/cohen-liel/hivemind/async-python
Any agent
npx skills add cohen-liel/hivemind --skill async-python
Clone the repo
git clone --depth 1 https://github.com/cohen-liel/hivemind

Made for: Claude Code, Codex.

Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 919 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00037 $0.00919
Opus 5 $0.00018 $0.00460
Sonnet 5 $0.00007 $0.00184
Haiku 4.5 $0.00004 $0.00092

Measured 2d ago against content hash 5fff368cae71, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

async-python scanned grade A with 1 finding 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 2d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

requests.get(url) # Blocking HTTP call
.claude/skills/async-python/SKILL.md · 145 lines

How it starts

The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Async Python Patterns

Core Concepts

import asyncio

# Basic async function
async def fetch_user(user_id: int) -> User:
    async with aiohttp.ClientSession() as session:
        async with session.get(f"/users/{user_id}") as resp:
            return await resp.json()

# Run from sync context
user = asyncio.run(fetch_user(123))

Concurrency Patterns

Run tasks in parallel (gather)

# All run at the same time — total time = slowest task
users, posts, comments = await asyncio.gather(
    fetch_user(user_id),
    fetch_posts(user_id),
    fetch_comments(user_id),
)

# With error handling — return exceptions instead of raising
results = await asyncio.gather(
    fetch_user(user_id),
    fetch_posts(user_id),
    return_exceptions=True,
)
for result in results:
    if isinstance(result, Exception):
        logger.error(f"Task failed: {result}")

Limit concurrency (Semaphore)

# Process 100 items but max 10 at a time
sem = asyncio.Semaphore(10)

async def process_with_limit(item):
    async with sem:
        return await process(item)

results = await asyncio.gather(*[process_with_limit(i) for i in items])

Timeout

try:
    result = await asyncio.wait_for(fetch_data(), timeout=10.0)
except asyncio.TimeoutError:
    logger.warning("Fetch timed out after 10s")
    result = None

Background tasks (fire and forget)

async def main():
    # Don't await — runs in background
    task = asyncio.create_task(send_notification(user_id))

    # But keep reference so GC doesn't kill it
    background_tasks = set()
    background_tasks.add(task)
    task.add_done_callback(background_tasks.discard)

Async context manager

class DatabasePool:
    async def __aenter__(self):
        self.pool = await asyncpg.create_pool(dsn)
        return self

    async def __aexit__(self, *args):
        await self.pool.close()

async with DatabasePool() as db:
    await db.pool.fetchrow("SELECT * FROM users WHERE id = $1", 1)

Read the full file on GitHub · 145 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. 2d ago First seen · 145 lines · 37 tokens per session scan A 5fff368cae71

Subscribe to this mod's changes

async-python is a skill published in the GitHub repository cohen-liel/hivemind (108 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 37 tokens to every session and 919 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

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