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.
npx skills add Nevaberry/nevaberry-plugins --skill celery-knowledge-patchgit clone --depth 1 https://github.com/Nevaberry/nevaberry-pluginsWrote 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.
[](https://agentmods.dev/skills/nevaberry/nevaberry-plugins/celery-knowledge-patch)<a href="https://agentmods.dev/skills/nevaberry/nevaberry-plugins/celery-knowledge-patch"><img src="https://agentmods.dev/badge/skills/nevaberry/nevaberry-plugins/celery-knowledge-patch/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.
<a href="https://agentmods.dev/skills/nevaberry/nevaberry-plugins/celery-knowledge-patch"><img src="https://agentmods.dev/badge/skills/nevaberry/nevaberry-plugins/celery-knowledge-patch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00009 | $0.01375 |
| Opus 5.5 | $0.00004 | $0.00550 |
| Sonnet 5.5 | $0.00002 | $0.00275 |
| Haiku 4.5 | $0.00001 | $0.00137 |
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 1mo 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.
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.
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.
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.
- 1mo ago First seen · 177 lines · 9 tokens per session scan A 1923d287caca
celery-knowledge-patch is a skill published in the GitHub repository Nevaberry/nevaberry-plugins (23 stars, last pushed 1mo ago), licensed MIT. It adds 9 tokens to every session and 1,375 once invoked, about $0.0000 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.
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