Borrowing it
Nothing to install: this file belongs to cohen-liel/hivemind. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/cohen-liel/hivemind/main/.claude/skills/celery-tasks/SKILL.mdgit clone --depth 1 https://github.com/cohen-liel/hivemindWrote 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/skills/cohen-liel/hivemind/celery-tasks)<a href="https://agentmods.dev/skills/cohen-liel/hivemind/celery-tasks"><img src="https://agentmods.dev/badge/skills/cohen-liel/hivemind/celery-tasks/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/cohen-liel/hivemind/celery-tasks"><img src="https://agentmods.dev/badge/skills/cohen-liel/hivemind/celery-tasks.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00040 | $0.01134 |
| Opus 5.5 | $0.00016 | $0.00454 |
| Sonnet 5.5 | $0.00008 | $0.00227 |
| Haiku 4.5 | $0.00004 | $0.00113 |
Grade A, and why
celery-tasks 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 1mo 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 — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Celery Background Tasks
Setup
# celery_app.py
from celery import Celery
from kombu import Queue
celery = Celery(
"myapp",
broker=settings.REDIS_URL,
backend=settings.REDIS_URL,
include=["app.tasks.email", "app.tasks.processing"],
)
celery.conf.update(
task_serializer="json",
result_serializer="json",
accept_content=["json"],
timezone="UTC",
task_track_started=True,
task_acks_late=True, # Re-queue if worker crashes
worker_prefetch_multiplier=1, # Fair distribution
task_queues=[
Queue("high", routing_key="high"),
Queue("default", routing_key="default"),
Queue("low", routing_key="low"),
],
task_default_queue="default",
# Retry policy
task_max_retries=3,
task_soft_time_limit=300, # 5 min warning
task_time_limit=600, # 10 min hard kill
)
Task Patterns
# tasks/email.py
from celery import shared_task
from celery.utils.log import get_task_logger
logger = get_task_logger(__name__)
@shared_task(
bind=True,
max_retries=3,
default_retry_delay=60, # 1 min between retries
queue="high",
)
def send_welcome_email(self, user_id: int, email: str, name: str):
try:
logger.info(f"Sending welcome email to {email}")
result = email_service.send(
to=email,
template="welcome",
context={"name": name},
)
logger.info(f"Email sent: {result.id}")
return {"status": "sent", "message_id": result.id}
except EmailServiceError as exc:
logger.warning(f"Email failed (attempt {self.request.retries + 1}): {exc}")
raise self.retry(exc=exc, countdown=60 * (2 ** self.request.retries)) # exponential backoff
@shared_task(queue="low", rate_limit="10/m")
def generate_thumbnail(image_path: str, sizes: list[tuple[int, int]]):
"""Rate-limited to 10/min — heavy CPU task."""
for w, h in sizes:
img = Image.open(image_path)
img.thumbnail((w, h))
img.save(f"{image_path}_{w}x{h}.jpg", optimize=True, quality=85)
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.
- 1mo ago First seen · 153 lines · 40 tokens per session scan A c94b35e1c105
celery-tasks is a skill published in the GitHub repository cohen-liel/hivemind (112 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 40 tokens to every session and 1,134 once invoked, about $0.0002 per session on Opus 5.5. 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.
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