E-Commerce Skills is a collection of plain-text instructions that give AI agents specialized knowledge for running and growing online shops. It supports tasks such as product research, pricing, marketing, supply-chain planning, and business analysis for sellers on platforms including Amazon, Shopify, eBay, Etsy, TikTok Shop, and Walmart. The catalogue entries are the individual skills that agents use for these e-commerce tasks.
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 nexscope-ai/eCommerce-Skills --skill ecommerce-email-marketing-buildergit clone --depth 1 https://github.com/nexscope-ai/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/nexscope-ai/ecommerce-skills/ecommerce-email-marketing-builder)<a href="https://agentmods.dev/skills/nexscope-ai/ecommerce-skills/ecommerce-email-marketing-builder"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/ecommerce-email-marketing-builder/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/nexscope-ai/ecommerce-skills/ecommerce-email-marketing-builder"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/ecommerce-email-marketing-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 3 findings, 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 MCP Rug Pull · line 21 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 576 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 581 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00159 | $0.06245 |
| Opus 5.5 | $0.00064 | $0.02498 |
| Sonnet 5.5 | $0.00032 | $0.01249 |
| Haiku 4.5 | $0.00016 | $0.00624 |
Grade A, and why
ecommerce-email-marketing-builder 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 — 587 lines — stays where its author put it; the contents beside it link to each section on GitHub.
E-Commerce Email Marketing Builder 📧
Build a complete, copy-paste-ready email marketing system for any e-commerce business. Covers 10 core automation flows with full copywriting, ESP setup instructions, segmentation rules, and annual campaign calendars.
Supported platforms: Shopify, WooCommerce, BigCommerce, Squarespace, Etsy, TikTok Shop, Amazon, and any platform that connects to an ESP. For marketplace platforms (Amazon, TikTok Shop, Etsy) where buyer emails are restricted, this skill focuses on cross-channel strategies to capture emails via your own website or landing pages.
Built by Nexscope — your AI assistant for smarter e-commerce decisions.
Install
npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-email-marketing-builder -g
Usage
Once installed, just describe your business and ask for email marketing help. The skill activates automatically.
I'm launching a Shopify store selling premium dog treats at $24.99. Help me set up
my email marketing — I'm using Klaviyo and have about 500 subscribers.
I sell handmade jewelry on Etsy and my own website. Price range $40-120. I have
2,000 email subscribers but no automated flows set up. What emails should I be sending?
Build me a complete email system for my sustainable fashion brand. We use Omnisend
and have 8,000 subscribers. I want welcome series, cart abandonment, and post-purchase flows.
Capabilities
- Complete email automation flows for 10 core e-commerce journeys (welcome, cart abandonment, browse abandonment, post-purchase, review request, cross-sell, win-back, VIP/loyalty, replenishment, sunset)
- Full email copywriting for every email — subject lines, preview text, body copy, CTA button text
- 3-5 A/B test subject line variants per email with different angles (curiosity, urgency, benefit, social proof, personal)
- ESP setup instructions generated for your specific platform — trigger conditions, flow filters, delay timing, and branching logic using your ESP's exact terminology
- ESP recommendation if you don't have one yet — based on list size and sales platform, with pricing
- Flow diagrams showing the full sequence: trigger → delay → conditional split → email → branch
- Segmentation strategy with 8 core segments and exact filter conditions for your ESP
- Annual seasonal campaign calendar customized to your product category
- List growth tactics — pop-up strategy, checkout opt-in, social → email conversion
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 · 587 lines · 159 tokens per session scan A f36feb25a0e6
ecommerce-email-marketing-builder is a skill published in the GitHub repository nexscope-ai/eCommerce-Skills (1,276 stars, last pushed 2mo ago), licensed MIT. It adds 159 tokens to every session and 6,245 once invoked, about $0.0006 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 2026-08-30.
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