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 email-list-segmentationgit 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/email-list-segmentation)<a href="https://agentmods.dev/skills/finsilabs/awesome-ecommerce-skills/email-list-segmentation"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/email-list-segmentation/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/email-list-segmentation"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/email-list-segmentation.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 | $0.00033 | $0.02013 |
| Opus 5 | $0.00016 | $0.01007 |
| Sonnet 5 | $0.00007 | $0.00403 |
| Haiku 4.5 | $0.00003 | $0.00201 |
Grade A, and why
email-list-segmentation 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 8d 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 — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Email List Segmentation
Overview
Sending the same email to your entire list is one of the most expensive mistakes in ecommerce marketing. ISPs throttle senders with low engagement, unsubscribe rates spike for irrelevant content, and you leave revenue on the table by treating a VIP customer identically to someone who has never purchased. Klaviyo (for Shopify/BigCommerce) and AutomateWoo or Mailchimp (for WooCommerce) include RFM and behavioral segmentation built-in — no custom code needed for most stores.
When to Use This Skill
- When email open rates drop below 20% and you suspect low engagement dragging deliverability
- When migrating from blast-and-pray sends to targeted campaign logic
- When building a suppression system to protect high-value subscribers from over-messaging
- When launching a win-back program and need to identify the "at-risk" vs. "lapsed" cohort
- When analyzing email revenue and needing to attribute performance to specific segments
Core Instructions
Step 1: Choose the right segmentation tool
| Platform | Recommended Tool | Built-in Segmentation Capabilities |
|---|---|---|
| Shopify | Klaviyo | Predictive CLV, churn risk, RFM scoring, purchase behavior segments — all built-in |
| WooCommerce | Klaviyo (via plugin) or AutomateWoo | Klaviyo plugin syncs order data; AutomateWoo has native WooCommerce RFM reports |
| BigCommerce | Klaviyo | Native BigCommerce integration with full order history sync |
| All platforms | Klaviyo (via API) | Use Klaviyo's Track/Identify API to send behavioral events from any platform |
Step 2: Set up the essential segments — start with five
Build these five segments first. They cover 80% of the value. Add more only when you have campaigns ready for each.
Klaviyo (Shopify, BigCommerce, or API-connected)
Segment 1: Champions (VIP buyers)
- Go to Klaviyo → Segments → Create Segment
- Conditions:
Has placed orderat least 5 times ever- AND
Total Customer Valuegreater than $500 - AND
Opened emailin the last 60 days
- Save as "Champions — VIP Buyers"
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/campaign-suppression-list-and-compliance/criteria.json 2.7 KB
- evals/campaign-suppression-list-and-compliance/task.md 5.7 KB
- evals/klaviyo-segment-sync-and-unsubscribe-web/criteria.json 2.9 KB
- evals/klaviyo-segment-sync-and-unsubscribe-web/task.md 3.9 KB
- evals/rfm-scoring-pipeline-implementation/criteria.json 3.0 KB
- evals/rfm-scoring-pipeline-implementation/task.md 4.9 KB
- tile.json 321 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.
- 8d ago First seen · 172 lines · 33 tokens per session scan A b6ff136a3ee9
email-list-segmentation is a skill published in the GitHub repository finsilabs/awesome-ecommerce-skills (52 stars, last pushed 6mo ago), licensed MIT. It adds 33 tokens to every session and 2,013 once invoked, about $0.0002 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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