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 loyalty-points-systemgit 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/loyalty-points-system)<a href="https://agentmods.dev/skills/finsilabs/awesome-ecommerce-skills/loyalty-points-system"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/loyalty-points-system/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/loyalty-points-system"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/loyalty-points-system.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 | $0.02497 |
| Opus 5 | $0.00015 | $0.01248 |
| Sonnet 5 | $0.00006 | $0.00499 |
| Haiku 4.5 | $0.00003 | $0.00250 |
Grade A, and why
loyalty-points-system 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 — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Loyalty Points System
Overview
A loyalty points program rewards repeat customers with points earned on purchases and other actions (reviews, referrals, social shares), which they can redeem for discounts at checkout. Well-designed programs include tier progression (Bronze → Silver → Gold → Platinum) that unlocks perks like free shipping or higher point multipliers as customers spend more. Most merchants should start with a dedicated loyalty app — the major platforms have excellent options — rather than building from scratch.
When to Use This Skill
- When adding a customer retention mechanism to increase repeat purchase rate
- When launching a tiered VIP program where high-value customers unlock benefits like free shipping or early access
- When replacing an ad-hoc discount system with a structured loyalty program that customers can track
- When integrating points into a mobile app where customers check their balance and redeem at checkout
- When running promotional campaigns that award bonus points for specific actions (reviews, referrals, first purchase)
Core Instructions
Step 1: Determine the merchant's platform and choose the right tool
| Platform | Recommended Tool | Why |
|---|---|---|
| Shopify | Smile.io (formerly Sweet Tooth) or LoyaltyLion | Both integrate natively with Shopify, handle points earning/redemption at checkout, and include tier management and referral programs |
| Shopify (budget) | Rivo Loyalty & Rewards or Bon Loyalty | Lower-cost alternatives with core points and tier features |
| WooCommerce | WooCommerce Points and Rewards (official, ~$79/year) or YITH WooCommerce Points & Rewards | WooCommerce-native integration; the official plugin is well-maintained |
| BigCommerce | Smile.io or LoyaltyLion | Both have BigCommerce integrations |
| Multi-platform / Headless | Loyaltylion API, Smile.io API, or Yotpo Loyalty | All expose APIs for integration with custom storefronts |
| Custom / Headless | Build with ledger-based points tracking | Only when app capabilities are insufficient for your specific requirements |
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/ledger-schema-design/criteria.json 2.8 KB
- evals/ledger-schema-design/task.md 1.2 KB
- evals/points-earning-and-tier-progression/criteria.json 2.6 KB
- evals/points-earning-and-tier-progression/task.md 1.8 KB
- evals/redemption-checkout-and-expiration-job/criteria.json 2.7 KB
- evals/redemption-checkout-and-expiration-job/task.md 1.6 KB
- tile.json 239 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 · 220 lines · 29 tokens per session scan A 75d79e37315c
loyalty-points-system 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 2,497 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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