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 finsilabs/awesome-ecommerce-skills --skill flash-sale-scalinggit clone --depth 1 https://github.com/finsilabs/awesome-ecommerce-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/finsilabs/awesome-ecommerce-skills/flash-sale-scaling)<a href="https://agentmods.dev/skills/finsilabs/awesome-ecommerce-skills/flash-sale-scaling"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/flash-sale-scaling/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/finsilabs/awesome-ecommerce-skills/flash-sale-scaling"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/flash-sale-scaling.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 | $0.00029 | $0.02746 |
| Opus 5 | $0.00015 | $0.01373 |
| Sonnet 5 | $0.00006 | $0.00549 |
| Haiku 4.5 | $0.00003 | $0.00275 |
Grade A, and why
flash-sale-scaling 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 9d 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 — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Flash Sale Scaling
Overview
Flash sales and product drops generate traffic spikes 50–100× normal load, arriving within seconds of sale start. Without preparation, the checkout service collapses, inventory oversells, and customers see error pages. This skill covers the infrastructure patterns needed to handle extreme traffic: pre-warming, queue-based order intake with back-pressure, Redis-based atomic inventory reservation, and circuit breakers that degrade gracefully under load.
When to Use This Skill
- When planning a flash sale, limited product drop, or major promotional event
- When past sales have caused checkout timeouts, oversells, or database failures
- When Black Friday/Cyber Monday planning is underway and infrastructure needs review
- When a new product announcement is expected to drive sudden high-demand traffic
Core Instructions
Step 1: Determine your platform and what you can control
| Platform | Flash Sale Scaling Strategy | Key Actions |
|---|---|---|
| Shopify | Shopify scales automatically — no infrastructure work needed | Focus on theme speed (cache pages, optimize images), enable Shopify's queue page for high-demand launches, use Launchpad (Shopify Plus) to schedule and automate the sale |
| WooCommerce | You own the server — significant prep required | Upgrade to a scalable host (Cloudways, Kinsta, WP Engine), enable Redis Object Cache + WP Rocket page cache, configure Cloudflare, run load tests 1–2 weeks before |
| BigCommerce | BigCommerce scales automatically | Use BigCommerce's flash sale feature (preview: shows estimated wait time); focus on catalog readiness and theme performance |
| Custom / Headless | Full infrastructure control needed | Apply all patterns below: pre-warm scaling, Redis inventory, queue-based checkout, circuit breakers |
Step 2: Platform-specific flash sale preparation
Shopify
Shopify handles scaling automatically and can handle virtually any traffic spike. Your prep work is:
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.
- evals/circuit-breaker-metrics-and-db-read-rout/criteria.json 2.5 KB
- evals/circuit-breaker-metrics-and-db-read-rout/task.md 1.9 KB
- evals/redis-atomic-inventory-and-waiting-room/criteria.json 2.5 KB
- evals/redis-atomic-inventory-and-waiting-room/task.md 2.1 KB
- evals/sqs-queue-checkout-hpa-pre-warming-artil/criteria.json 2.7 KB
- evals/sqs-queue-checkout-hpa-pre-warming-artil/task.md 1.9 KB
- tile.json 233 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.
- 9d ago First seen · 261 lines · 29 tokens per session scan A ac091f9d5d29
flash-sale-scaling is a skill published in the GitHub repository finsilabs/awesome-ecommerce-skills (52 stars, last pushed 6mo ago), licensed MIT. It adds 29 tokens to every session and 2,746 once invoked, about $0.0001 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 2026-09-03.
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