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 batch-processing-jobsgit 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/batch-processing-jobs)<a href="https://agentmods.dev/skills/aj-geddes/useful-ai-prompts/batch-processing-jobs"><img src="https://agentmods.dev/badge/skills/aj-geddes/useful-ai-prompts/batch-processing-jobs/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/batch-processing-jobs"><img src="https://agentmods.dev/badge/skills/aj-geddes/useful-ai-prompts/batch-processing-jobs.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 | $0.00041 | $0.00575 |
| Opus 5 | $0.00020 | $0.00287 |
| Sonnet 5 | $0.00008 | $0.00115 |
| Haiku 4.5 | $0.00004 | $0.00057 |
Grade A, and why
batch-processing-jobs 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 11d 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Batch Processing Jobs
Table of Contents
Overview
Implement scalable batch processing systems for handling large-scale data processing, scheduled tasks, and async operations efficiently.
When to Use
- Processing large datasets
- Scheduled report generation
- Email/notification campaigns
- Data imports and exports
- Image/video processing
- ETL pipelines
- Cleanup and maintenance tasks
- Long-running computations
- Bulk data updates
Quick Start
Minimal working example:
import Queue from "bull";
import { v4 as uuidv4 } from "uuid";
interface JobData {
id: string;
type: string;
payload: any;
userId?: string;
metadata?: Record<string, any>;
}
interface JobResult {
success: boolean;
data?: any;
error?: string;
processedAt: number;
duration: number;
}
class BatchProcessor {
private queue: Queue.Queue<JobData>;
private resultQueue: Queue.Queue<JobResult>;
constructor(redisUrl: string) {
// Main processing queue
// ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Bull Queue (Node.js) | Bull Queue (Node.js) |
| Celery-Style Worker (Python) | Celery-Style Worker (Python) |
| Cron Job Scheduler | Cron Job Scheduler |
Best Practices
✅ DO
- Implement idempotency for all jobs
- Use job queues for distributed processing
- Monitor job success/failure rates
- Implement retry logic with exponential backoff
- Set appropriate timeouts
- Log job execution details
- Use dead letter queues for failed jobs
- Implement job priority levels
- Batch similar operations together
- Use connection pooling
- Implement graceful shutdown
- Monitor queue depth and processing time
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.
- 11d ago First seen · 104 lines · 41 tokens per session scan A 0111c96a38dc
batch-processing-jobs is a skill published in the GitHub repository aj-geddes/useful-ai-prompts (336 stars, last pushed 6mo ago), licensed MIT. It adds 41 tokens to every session and 575 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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