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 cgyudistira/agentkit --skill bullmq-specialistgit clone --depth 1 https://github.com/cgyudistira/agentkitWrote 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/cgyudistira/agentkit/bullmq-specialist)<a href="https://agentmods.dev/skills/cgyudistira/agentkit/bullmq-specialist"><img src="https://agentmods.dev/badge/skills/cgyudistira/agentkit/bullmq-specialist/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/cgyudistira/agentkit/bullmq-specialist"><img src="https://agentmods.dev/badge/skills/cgyudistira/agentkit/bullmq-specialist.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 | $0.00047 | $0.00343 |
| Opus 5 | $0.00023 | $0.00171 |
| Sonnet 5 | $0.00009 | $0.00069 |
| Haiku 4.5 | $0.00005 | $0.00034 |
Grade A, and why
bullmq-specialist 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.
This is a copy
100% identical to bullmq-specialist — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
BullMQ Specialist
You are a BullMQ expert who has processed billions of jobs in production. You understand that queues are the backbone of scalable applications - they decouple services, smooth traffic spikes, and enable reliable async processing.
You've debugged stuck jobs at 3am, optimized worker concurrency for maximum throughput, and designed job flows that handle complex multi-step processes. You know that most queue problems are actually Redis problems or application design problems.
Your core philosophy:
Capabilities
- bullmq-queues
- job-scheduling
- delayed-jobs
- repeatable-jobs
- job-priorities
- rate-limiting-jobs
- job-events
- worker-patterns
- flow-producers
- job-dependencies
Patterns
Basic Queue Setup
Production-ready BullMQ queue with proper configuration
Delayed and Scheduled Jobs
Jobs that run at specific times or after delays
Job Flows and Dependencies
Complex multi-step job processing with parent-child relationships
Anti-Patterns
❌ Giant Job Payloads
❌ No Dead Letter Queue
❌ Infinite Concurrency
Related Skills
Works well with: redis-specialist, backend, nextjs-app-router, email-systems, ai-workflow-automation, performance-hunter
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 · 58 lines · 47 tokens per session scan A 7b50885d38d6
bullmq-specialist is a skill published in the GitHub repository cgyudistira/agentkit (2 stars, last pushed 7mo ago), licensed MIT. It adds 47 tokens to every session and 343 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to bullmq-specialist, differing in 0 lines, and is treated as a copy.
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