celery-knowledge-patch

A reference guide for maintaining Celery, a Python system that runs background jobs through workers and message brokers. It points to topic files covering workers, queues, scheduling, tasks, and result storage.

In plain words
What is it for?
Use it when working on Celery workers, brokers, queues, scheduled tasks, task workflows, shutdown behavior, testing, or result backends.
Why use it?
It reduces the need to search scattered documentation when changing a Celery application or checking whether an upgrade is compatible.

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/nevaberry/nevaberry-plugins/celery-knowledge-patch
Any agent
npx skills add Nevaberry/nevaberry-plugins --skill celery-knowledge-patch
Clone the repo
git clone --depth 1 https://github.com/Nevaberry/nevaberry-plugins

Made for: Claude Code, Codex.

Per session 9 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,375 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00009 $0.01375
Opus 5 $0.00005 $0.00687
Sonnet 5 $0.00002 $0.00275
Haiku 4.5 $0.00001 $0.00137

Measured 2d ago against content hash 1923d287caca, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

celery-knowledge-patch 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 2d 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/knowledge-patch/patches-claude/celery-knowledge-patch/SKILL.md · 177 lines

How it starts

The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Celery Knowledge Patch

Load this skill when maintaining Celery applications, workers, brokers, result backends, schedules, or task workflows. Start with the quick reference, then open the topic file that matches the work at hand.

Reference index

Reference Topics
runtime-and-lifecycle.md Runtime and dependency requirements, support policy, worker shutdown, signals, pools, and testing
brokers-and-queues.md RabbitMQ quorum queues, Redis, SQS, Google Cloud Pub/Sub, publishing, ETA limits, and queue creation
tasks-and-scheduling.md Pydantic tasks, crontab parsing, canvas behavior, timeouts, and gevent revocation
result-backends.md Database, Redis, DynamoDB, and Azure Blob Storage result backends

Check compatibility before upgrading

Runtime requirements changed

  • For 5.5, use CPython 3.8–3.13 or PyPy 3.10+, Kombu 5.5 or newer, redis-py 4.5.2 or newer, Billiard 4.2.1 or newer, and Django 2.2.28 or newer.
  • For 5.6, use CPython 3.9–3.13 or PyPy 3.11, Kombu 5.6 or newer, and Billiard 4.2.4 or newer.
  • SQLAlchemy 1.4 and 2.0 are supported.
  • Celery 4.x is unsupported. Celery 5.x is not an LTS line and is supported only until Celery 6.x.

See runtime-and-lifecycle.md before changing Python, framework, or transport dependencies.

SQS uses pycurl again

Celery 5.5 replaced the pycurl dependency with urllib3, but the 5.6 SQS transport reverses that change and uses pycurl again. Ensure 5.6 SQS worker images and deployment environments provide the restored dependency.

Singleton groups unroll

A one-item group chained with | unrolls to its contained signature. The downstream task receives the item result, not a one-element list:

workflow = group(add.s(1, 1)) | consume.s()

Here, consume receives 2. Audit downstream tasks that assumed a list.

Read the full file on GitHub · 177 lines

Files

What ships with it

5 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. 2d ago First seen · 177 lines · 9 tokens per session scan A 1923d287caca

Subscribe to this mod's changes

celery-knowledge-patch is a skill published in the GitHub repository Nevaberry/nevaberry-plugins (24 stars, last pushed 5d ago), licensed MIT. It adds 9 tokens to every session and 1,375 once invoked, about $0.0000 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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