hivemind: Skill for Claude Code

.claude/skills/celery-tasks/SKILL.md

celery-tasks is a skill for Claude Code from cohen-liel/hivemind. It costs 40 tokens per session (1,134 once invoked), scanned A, original, Apache-2.0.

A set of patterns for Celery, a Python tool that runs work in separate background processes. It covers task setup, queues, retries, logging, and time limits.

In plain words
What is it for?
Use it for background jobs such as sending email, processing images, scheduled tasks, and other asynchronous work in Python applications.
Why use it?
It prevents slow work from blocking a web request and provides ways to retry failed jobs or re-queue work when a worker crashes.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is cohen-liel/hivemind's own configuration. It tells Claude Code how to work on hivemind itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything hivemind configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/cohen-liel/hivemind/main/.claude/skills/celery-tasks/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/cohen-liel/hivemind

Made for: Claude Code.

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 celery-tasks

README.md
[![agentmods](https://agentmods.dev/badge/skills/cohen-liel/hivemind/celery-tasks.svg)](https://agentmods.dev/skills/cohen-liel/hivemind/celery-tasks)
Your own site
<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="Measured on agentmods" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,134 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00040 $0.01134
Opus 5 $0.00020 $0.00567
Sonnet 5 $0.00008 $0.00227
Haiku 4.5 $0.00004 $0.00113

Measured 8d ago against content hash c94b35e1c105, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

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 8d 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.

.claude/skills/celery-tasks/SKILL.md · 153 lines

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)

Read the full file on GitHub · 153 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. 8d ago First seen · 153 lines · 40 tokens per session scan A c94b35e1c105

Subscribe to this mod's changes

celery-tasks is a skill published in the GitHub repository cohen-liel/hivemind (108 stars, last pushed 4mo 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. 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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