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django-celery-expert

django-celery-expert is a skill for Claude Code from vintasoftware/django-ai-plugins. It costs 115 tokens per session (996 once invoked), scanned A, original, no licence file.

A guide for using Django with Celery, a system for running work in the background instead of during a web request. It covers tasks, workers, retries, scheduled jobs, errors, performance, and monitoring.

In plain words
What is it for?
Use it to design background tasks, configure Celery workers, add periodic jobs with Celery Beat, handle task errors and retries, improve performance, or set up monitoring.
Why use it?
It helps handle work that should run asynchronously and makes failures, retries, and production operation easier to reason about.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the django-celery-expert plugin — 1 skill shipped together

not rated 171repo +5 3mo ago A scan Socket: warnSnyk: pass 115 tokens no licence

Good fit Use it to design background tasks, configure Celery workers, add periodic jobs with Celery Beat, handle task errors and retries, improve performance, or set up monitoring.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vintasoftware/django-ai-plugins/django-celery-expert
View source ↗ vintasoftware/django-ai-plugins
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.

Any agent
npx skills add vintasoftware/django-ai-plugins --skill django-celery-expert
Clone the repo
git clone --depth 1 https://github.com/vintasoftware/django-ai-plugins

Made for: Claude Code.

Or install django-celery-expert, the plugin that ships this one along with the rest of its 1 skill.

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 django-celery-expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/vintasoftware/django-ai-plugins/django-celery-expert/github.svg)](https://agentmods.dev/skills/vintasoftware/django-ai-plugins/django-celery-expert)
Your own site
<a href="https://agentmods.dev/skills/vintasoftware/django-ai-plugins/django-celery-expert"><img src="https://agentmods.dev/badge/skills/vintasoftware/django-ai-plugins/django-celery-expert/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.

agentmods 80×15 button for django-celery-expert

Your own site · 80×15
<a href="https://agentmods.dev/skills/vintasoftware/django-ai-plugins/django-celery-expert"><img src="https://agentmods.dev/badge/skills/vintasoftware/django-ai-plugins/django-celery-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 115 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 996 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. Third-party audits
  • Socket warn 14 Sept 2026
  • Snyk pass 14 Sept 2026
How audits are shown
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 5.1 $0.00115 $0.00996
Opus 5.5 $0.00046 $0.00398
Sonnet 5.5 $0.00023 $0.00199
Haiku 4.5 $0.00012 $0.00100

Measured 2mo ago against content hash 091f6d9928cb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

django-celery-expert 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 2mo 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.

plugins/django-celery-expert/skills/django-celery-expert/SKILL.md · 134 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

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2mo ago First seen · 134 lines · 115 tokens per session scan A 091f6d9928cb

Subscribe to this mod's changes

django-celery-expert is a skill published in the GitHub repository vintasoftware/django-ai-plugins (171 stars, last pushed 3mo ago), with no licence file. It adds 115 tokens to every session and 996 once invoked, about $0.0005 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.

Backend and APIsClaude Codeai-agentsdjango-ai-boostopencodeopencode-aiskills
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