django-celery

A Django integration for Celery, a Python system that runs background tasks outside a web request. It covers distributed work, scheduled tasks with django-celery-beat, monitoring, and recommended practices.

In plain words
What is it for?
Use it for background jobs, periodic tasks, task monitoring, and planning how Celery fits into a Django project.
Why use it?
It helps keep slow or recurring work from delaying responses in a Django application. It also brings task scheduling and monitoring into the Django setup.

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/mte90/dotfiles/django-celery
Any agent
npx skills add Mte90/dotfiles --skill django-celery
Clone the repo
git clone --depth 1 https://github.com/Mte90/dotfiles

Made for: Claude Code, Codex.

Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,771 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00028 $0.03771
Opus 5 $0.00014 $0.01886
Sonnet 5 $0.00006 $0.00754
Haiku 4.5 $0.00003 $0.00377

Measured 3d ago against content hash c766d2b715dc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

django-celery 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 3d 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.

.config/opencode/skills/django-celery/SKILL.md · 615 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 3d ago First seen · 615 lines · 28 tokens per session scan A c766d2b715dc

Subscribe to this mod's changes

django-celery is a skill published in the GitHub repository Mte90/dotfiles (51 stars, last pushed 7d ago), with no licence file. It adds 28 tokens to every session and 3,771 once invoked, about $0.0001 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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