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 FortiumPartners/ensemble --skill using-celerygit clone --depth 1 https://github.com/FortiumPartners/ensembleWrote 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/fortiumpartners/ensemble/using-celery)<a href="https://agentmods.dev/skills/fortiumpartners/ensemble/using-celery"><img src="https://agentmods.dev/badge/skills/fortiumpartners/ensemble/using-celery/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/fortiumpartners/ensemble/using-celery"><img src="https://agentmods.dev/badge/skills/fortiumpartners/ensemble/using-celery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00045 | $0.02952 |
| Opus 5.5 | $0.00018 | $0.01181 |
| Sonnet 5.5 | $0.00009 | $0.00590 |
| Haiku 4.5 | $0.00005 | $0.00295 |
Grade A, and why
using-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 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 — 457 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Celery & Beat Development Skill
Quick Reference
Celery 5.3+ distributed task queue with Beat scheduler for Python applications. Background job processing, periodic scheduling, workflow patterns, and FastAPI integration.
Table of Contents
- Quick Reference
- When to Use
- Project Structure
- Celery Application Setup
- Task Definitions
- Queue Routing
- Beat Scheduler
- Workflow Patterns
- FastAPI Integration
- Testing
- CLI Commands
- Essential Configuration
- Anti-Patterns to Avoid
- Integration Checklist
- See Also
When to Use
This skill is loaded by backend-developer when:
celeryorcelery[redis]in dependenciesceleryconfig.pyorcelery.pypresent- Beat schedule configuration detected
- User mentions "background tasks", "job queue", or "periodic tasks"
- Task decorator patterns (
@app.task) found
Minimum Detection Confidence: 0.8 (80%)
Prerequisite: Python skill should be loaded for core patterns.
Project Structure
my_project/
├── src/my_app/
│ ├── celery_app.py # Celery application
│ ├── config.py # Settings
│ ├── tasks/ # Task modules
│ │ ├── email.py
│ │ ├── reports.py
│ │ └── cleanup.py
│ └── workers/queues.py # Queue definitions
├── tests/
│ ├── conftest.py # Celery fixtures
│ └── tasks/
├── docker-compose.yml # Redis + workers
└── pyproject.toml
Celery Application Setup
from celery import Celery
from kombu import Queue
from .config import settings
app = Celery(
"my_app",
broker=settings.celery_broker_url,
backend=settings.celery_result_backend,
include=["my_app.tasks.email", "my_app.tasks.reports"],
)
app.conf.update(
task_serializer="json",
accept_content=["json"],
result_serializer="json",
timezone="UTC",
enable_utc=True,
task_track_started=True,
task_time_limit=300,
task_soft_time_limit=240,
worker_prefetch_multiplier=1,
task_acks_late=True,
task_reject_on_worker_lost=True,
)
# Queue routing
app.conf.task_queues = (
Queue("default", routing_key="default"),
Queue("high_priority", routing_key="high"),
Queue("low_priority", routing_key="low"),
)
What ships with it
11 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.
- examples/fastapi_celery.example.py 16 KB runs code
- examples/README.md 1.9 KB
- examples/task_patterns.example.py 17 KB runs code
- README.md 5.4 KB
- REFERENCE.md 43 KB
- templates/beat_schedule.template.py 5.7 KB runs code
- templates/celery_config.template.py 7.1 KB runs code
- templates/pytest_celery.template.py 9.1 KB runs code
- templates/README.md 3.9 KB
- templates/task.template.py 6.8 KB runs code
- VALIDATION.md 9.7 KB
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 · 457 lines · 45 tokens per session scan A 4814bfa96b29
using-celery is a skill published in the GitHub repository FortiumPartners/ensemble (12 stars, last pushed 2d ago), licensed MIT. It adds 45 tokens to every session and 2,952 once invoked, about $0.0002 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 2026-09-03.
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