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 edge-commercegit 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/edge-commerce)<a href="https://agentmods.dev/skills/finsilabs/awesome-ecommerce-skills/edge-commerce"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/edge-commerce/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/edge-commerce"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/edge-commerce.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 | $0.00030 | $0.02368 |
| Opus 5 | $0.00015 | $0.01184 |
| Sonnet 5 | $0.00006 | $0.00474 |
| Haiku 4.5 | $0.00003 | $0.00237 |
Grade A, and why
edge-commerce scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
async fetch(request) { How it starts
The opening of the file, as written. The whole thing — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Edge Commerce
Overview
Edge computing executes code in the CDN PoP closest to each user, reducing latency from hundreds of milliseconds (round-trip to a central origin) to under 50ms. For e-commerce, this enables geo-routing (redirect UK users to a UK storefront), edge-side personalization (inject user tier into cached pages), instant A/B testing without origin round-trips, and distributed inventory caching via edge KV stores.
When to Use This Skill
- When pages routed through a central origin have high TTFB (>300ms) for international users
- When you need to redirect users to region-specific storefronts or localized product catalogs
- When you want to run A/B tests without adding JavaScript that delays page rendering
- When building a multi-region deployment where each region needs its own origin but shares a single domain
Core Instructions
Step 1: Determine your platform and what edge computing can do for you
| Platform | Edge Capabilities | How to Use Them |
|---|---|---|
| Shopify | Shopify's CDN (Fastly) already serves stores from global edge locations | Use Shopify Markets for geo-routing and multi-currency without custom edge code; Markets handles currency, language, and domain routing natively |
| WooCommerce | Add Cloudflare as your CDN/proxy to get edge capabilities | Cloudflare Workers (free tier: 100k requests/day) adds edge logic; configure in Cloudflare dashboard after adding your domain |
| BigCommerce | BigCommerce uses Fastly CDN globally | Use BigCommerce's built-in multi-storefront feature for geo-routing; for custom edge logic add Cloudflare in front |
| Custom / Headless | Full control — choose Cloudflare Workers, Vercel Edge Middleware, or Fastly Compute | Build custom geo-routing, A/B testing, and personalization at the edge; see implementation below |
Step 2: Configure geo-routing on your platform
Shopify: Use Shopify Markets
- Go to Settings → Markets in your Shopify admin
- Click Add market and select the countries/regions for your new market
- Configure per-market settings:
- Currency: set the local currency (Shopify handles conversion automatically)
- Language: assign a translated theme version
- Domain/subdomain: e.g.,
uk.yourstore.comroutes UK visitors automatically
- Shopify automatically redirects users to their market based on IP geolocation — no custom code needed
- For manual market URL overrides: Shopify's cookie-based market selector handles users who want to change their market
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/cloudflare-workers-kv-caching-regional-p/criteria.json 2.7 KB
- evals/cloudflare-workers-kv-caching-regional-p/task.md 1.9 KB
- evals/edge-personalization-with-shell-caching-/criteria.json 2.8 KB
- evals/edge-personalization-with-shell-caching-/task.md 1.7 KB
- evals/vercel-edge-middleware-geo-routing-and-a/criteria.json 2.5 KB
- evals/vercel-edge-middleware-geo-routing-and-a/task.md 2.0 KB
- tile.json 229 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 · 226 lines · 30 tokens per session scan A 03da6dc55f0d
edge-commerce is a skill published in the GitHub repository finsilabs/awesome-ecommerce-skills (52 stars, last pushed 6mo ago), licensed MIT. It adds 30 tokens to every session and 2,368 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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