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-customer-retentiongit 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-customer-retention)<a href="https://agentmods.dev/skills/nexscope-ai/ecommerce-skills/ecommerce-customer-retention"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/ecommerce-customer-retention/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-customer-retention"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/ecommerce-customer-retention.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 MCP Rug Pull · line 19 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 | $0.00000 | $0.00223 |
| Opus 5 | $0.00000 | $0.00112 |
| Sonnet 5 | $0.00000 | $0.00045 |
| Haiku 4.5 | $0.00000 | $0.00022 |
Grade A, and why
ecommerce-customer-retention 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 11d 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.
What it actually says
E-Commerce Customer Retention
Increase customer retention and repeat purchases for e-commerce businesses. Email flows, loyalty programs, subscription models, customer segmentation, and win-back strategies.
Capabilities
- Customer retention metrics and benchmarking (by industry)
- Post-purchase email and SMS flow design
- Loyalty and rewards program setup
- Subscription and auto-replenishment models
- Customer segmentation: RFM analysis
- Win-back campaign strategy for lapsed customers
- Review and referral program integration
- Customer lifetime value optimization
Install
npx skills add nexscope/ecommerce-customer-retention
Usage
Ask your AI agent:
- "Build a customer retention strategy for my Shopify store."
- "Design a loyalty program for my beauty brand."
- "Create win-back email flows for customers who haven't purchased in 90 days."
Output
Structured recommendations with actionable steps, benchmarks, and platform-specific guidance.
Built by Nexscope — AI-powered e-commerce tools for sellers worldwide.
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.
- 11d ago First seen · 37 lines · 0 tokens per session scan A 7fd9d1a683b4
ecommerce-customer-retention is a skill published in the GitHub repository nexscope-ai/eCommerce-Skills (908 stars, last pushed 16d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 223 tokens. 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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