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 TerminalSkills/skills --skill bull-mqgit clone --depth 1 https://github.com/TerminalSkills/skillsWrote 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/terminalskills/skills/bull-mq)<a href="https://agentmods.dev/skills/terminalskills/skills/bull-mq"><img src="https://agentmods.dev/badge/skills/terminalskills/skills/bull-mq/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/terminalskills/skills/bull-mq"><img src="https://agentmods.dev/badge/skills/terminalskills/skills/bull-mq.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 | $0.00076 | $0.01112 |
| Opus 5 | $0.00038 | $0.00556 |
| Sonnet 5 | $0.00015 | $0.00222 |
| Haiku 4.5 | $0.00008 | $0.00111 |
Grade A, and why
bull-mq 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 6d 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BullMQ — Redis-Based Job Queue for Node.js
You are an expert in BullMQ, the high-performance job queue for Node.js built on Redis. You help developers build reliable background processing systems with delayed jobs, rate limiting, prioritization, repeatable cron jobs, job dependencies, concurrency control, and dead-letter handling — powering email sending, image processing, webhook delivery, report generation, and any async workload.
Core Capabilities
Queue and Worker
import { Queue, Worker, QueueScheduler, FlowProducer } from "bullmq";
import IORedis from "ioredis";
const connection = new IORedis({ host: "localhost", port: 6379, maxRetriesPerRequest: null });
// Define queue
const emailQueue = new Queue("email", { connection });
// Add jobs
await emailQueue.add("welcome", {
to: "[email protected]",
template: "welcome",
data: { name: "Alice" },
}, {
priority: 1, // Lower = higher priority
attempts: 3, // Retry up to 3 times
backoff: { type: "exponential", delay: 2000 },
removeOnComplete: { count: 1000 }, // Keep last 1000 completed
removeOnFail: { age: 7 * 24 * 3600 }, // Keep failed for 7 days
});
// Delayed job
await emailQueue.add("reminder", { userId: 42 }, {
delay: 24 * 60 * 60 * 1000, // 24 hours from now
});
// Repeatable (cron)
await emailQueue.add("digest", {}, {
repeat: { pattern: "0 9 * * 1" }, // Every Monday at 9 AM
});
// Worker
const worker = new Worker("email", async (job) => {
switch (job.name) {
case "welcome":
await sendEmail(job.data.to, job.data.template, job.data.data);
break;
case "reminder":
await sendReminderEmail(job.data.userId);
break;
case "digest":
await sendWeeklyDigest();
break;
}
// Progress reporting
await job.updateProgress(100);
return { sent: true, timestamp: Date.now() };
}, {
connection,
concurrency: 5, // Process 5 jobs simultaneously
limiter: { max: 100, duration: 60000 }, // Rate limit: 100 jobs/min
});
worker.on("completed", (job, result) => console.log(`Job ${job.id} completed`));
worker.on("failed", (job, err) => console.error(`Job ${job?.id} failed: ${err.message}`));
What ships with it
1 file 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.
- 6d ago First seen · 127 lines · 76 tokens per session scan A c8a635ced88b
bull-mq is a skill published in the GitHub repository TerminalSkills/skills (148 stars, last pushed 6d ago), licensed Apache-2.0. It adds 76 tokens to every session and 1,112 once invoked, about $0.0004 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 2026-09-05.
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