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 aj-geddes/useful-ai-prompts --skill background-job-processinggit clone --depth 1 https://github.com/aj-geddes/useful-ai-promptsWrote 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/aj-geddes/useful-ai-prompts/background-job-processing)<a href="https://agentmods.dev/skills/aj-geddes/useful-ai-prompts/background-job-processing"><img src="https://agentmods.dev/badge/skills/aj-geddes/useful-ai-prompts/background-job-processing/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/aj-geddes/useful-ai-prompts/background-job-processing"><img src="https://agentmods.dev/badge/skills/aj-geddes/useful-ai-prompts/background-job-processing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00040 | $0.00695 |
| Opus 5 | $0.00020 | $0.00347 |
| Sonnet 5 | $0.00008 | $0.00139 |
| Haiku 4.5 | $0.00004 | $0.00069 |
Grade A, and why
background-job-processing 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 12d 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Background Job Processing
Table of Contents
Overview
Build robust background job processing systems with distributed task queues, worker pools, job scheduling, error handling, retry policies, and monitoring for efficient asynchronous task execution.
When to Use
- Handling long-running operations asynchronously
- Sending emails in background
- Generating reports or exports
- Processing large datasets
- Scheduling recurring tasks
- Distributing compute-intensive operations
Quick Start
Minimal working example:
# celery_app.py
from celery import Celery
from kombu import Exchange, Queue
import os
app = Celery('myapp')
# Configuration
app.conf.update(
broker_url=os.getenv('REDIS_URL', 'redis://localhost:6379/0'),
result_backend=os.getenv('REDIS_URL', 'redis://localhost:6379/0'),
task_serializer='json',
accept_content=['json'],
result_serializer='json',
timezone='UTC',
enable_utc=True,
task_track_started=True,
task_time_limit=30 * 60, # 30 minutes
task_soft_time_limit=25 * 60, # 25 minutes
broker_connection_retry_on_startup=True,
)
# Queue configuration
default_exchange = Exchange('tasks', type='direct')
app.conf.task_queues = (
// ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Python with Celery and Redis | Python with Celery and Redis |
| Node.js with Bull Queue | Node.js with Bull Queue |
| Ruby with Sidekiq | Ruby with Sidekiq |
| Job Retry and Error Handling | Job Retry and Error Handling |
| Monitoring and Observability | Monitoring and Observability |
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.
- references/job-retry-and-error-handling.md 1.3 KB
- references/monitoring-and-observability.md 1.2 KB
- references/nodejs-with-bull-queue.md 3.3 KB
- references/python-with-celery-and-redis.md 5.4 KB
- references/ruby-with-sidekiq.md 2.0 KB
- scripts/health-check.sh 383 B runs code
- templates/dashboard-config.yaml 472 B
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.
- 12d ago First seen · 105 lines · 40 tokens per session scan A aa8c05b66a08
background-job-processing is a skill published in the GitHub repository aj-geddes/useful-ai-prompts (338 stars, last pushed 6mo ago), licensed MIT. It adds 40 tokens to every session and 695 once invoked, about $0.0002 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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