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 slbug/claude-ruby-grape-rails --skill sidekiqgit clone --depth 1 https://github.com/slbug/claude-ruby-grape-railsWrote 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/slbug/claude-ruby-grape-rails/sidekiq)<a href="https://agentmods.dev/skills/slbug/claude-ruby-grape-rails/sidekiq"><img src="https://agentmods.dev/badge/skills/slbug/claude-ruby-grape-rails/sidekiq/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/slbug/claude-ruby-grape-rails/sidekiq"><img src="https://agentmods.dev/badge/skills/slbug/claude-ruby-grape-rails/sidekiq.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 360 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00056 | $0.02367 |
| Opus 5.5 | $0.00022 | $0.00947 |
| Sonnet 5.5 | $0.00011 | $0.00473 |
| Haiku 4.5 | $0.00006 | $0.00237 |
Grade A, and why
sidekiq 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 — 390 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sidekiq
Iron Laws
- Jobs are idempotent - Safe to retry multiple times
- Pass IDs and JSON primitives only - Never pass ORM objects
- Enqueue after commit - Use the active ORM's commit-safe hook, not
after_saveor inline before commit - Keep queue names intentional - Operationally meaningful
- Use retries intentionally - Don't hide permanent failures
- Profile slow jobs - Use Sidekiq 8 profiling
- Iterate large datasets - Use Sidekiq::Iteration
Version Compatibility
| Sidekiq | Rails | Redis | Key Features |
|---|---|---|---|
| 6.x | 6+ | 4.0+ | Basic processing |
| 7.x | 7+ | 6.2+ | Capsules, metrics |
| 8.x | 7+ | 7.0+ | Profiling, iteration, Valkey |
Job Template
class MyJob
include Sidekiq::Job
sidekiq_options queue: 'default', retry: 3
def perform(user_id)
user = User.find(user_id)
# Do work
end
end
JSON-Safe Arguments
✅ Correct:
MyJob.perform_async(user.id) # IDs
MyJob.perform_async(123, "string", true) # Primitives
MyJob.perform_async(user.created_at.iso8601) # Dates as strings
❌ Incorrect:
MyJob.perform_async(user) # ORM objects
MyJob.perform_async(Date.today) # Date objects
MyJob.perform_async(status: :active) # Symbols
Idempotency
Jobs must be safe to run multiple times:
class ProcessPaymentJob
include Sidekiq::Job
def perform(payment_id)
payment = Payment.find(payment_id)
return if payment.processed? # State check
payment.with_lock do
return if payment.processed? # Double-check
payment.process!
end
end
end
Strategies: State check | Upsert | UUID dedup | Locking
Commit-Safe Enqueueing by ORM
Always identify the ORM for the touched package before giving enqueue advice.
Active Record
Use after_commit for model-driven enqueueing that depends on committed data:
class User < ApplicationRecord
after_commit :enqueue_welcome_email, on: :create
private
def enqueue_welcome_email
WelcomeEmailJob.perform_async(id)
end
end
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.
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 · 390 lines · 56 tokens per session scan A f5b7c5bb56da
sidekiq is a skill published in the GitHub repository slbug/claude-ruby-grape-rails (7 stars, last pushed 16d ago), licensed MIT. It adds 56 tokens to every session and 2,367 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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