celery

A Python system for sending work to separate background processes or machines. It supports Redis and RabbitMQ, scheduled tasks, real-time processing, and Django integration.

In plain words
What is it for?
Use it for background jobs, scheduled jobs, real-time processing, and Python applications built with Django.
Why use it?
It keeps slow or repeated work out of the main application flow. This lets applications handle tasks in the background and run them on a schedule.

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

Made for: Claude Code, Codex.

Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,222 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00024 $0.07222
Opus 5 $0.00012 $0.03611
Sonnet 5 $0.00005 $0.01444
Haiku 4.5 $0.00002 $0.00722

Measured yesterday against content hash c60cc96e98ba, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

celery 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 yesterday.

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.

response = requests.get(url, timeout=10)
.config/opencode/skills/celery/SKILL.md · 1,273 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. yesterday First seen · 1,273 lines · 24 tokens per session scan A c60cc96e98ba

Subscribe to this mod's changes

celery is a skill published in the GitHub repository Mte90/dotfiles (51 stars, last pushed 6d ago), with no licence file. It adds 24 tokens to every session and 7,222 once invoked, about $0.0001 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.

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