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-program-optimizationgit 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-program-optimization)<a href="https://agentmods.dev/skills/finsilabs/awesome-ecommerce-skills/loyalty-program-optimization"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/loyalty-program-optimization/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-program-optimization"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/loyalty-program-optimization.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 | $0.00034 | $0.02371 |
| Opus 5 | $0.00017 | $0.01185 |
| Sonnet 5 | $0.00007 | $0.00474 |
| Haiku 4.5 | $0.00003 | $0.00237 |
Grade A, and why
loyalty-program-optimization 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 — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Loyalty Program Optimization
Overview
A well-designed loyalty program increases repeat purchase rate by 20–40% and CLV by giving customers a compelling reason to consolidate their spending with your brand. Dedicated loyalty apps handle the entire points engine, tier management, redemption mechanics, and customer-facing portal without custom code. The strategic decisions — which tiers to create, what benefits to offer, and how to avoid training customers to wait for redemptions — are where the real work is.
When to Use This Skill
- When launching a new loyalty program from scratch
- When an existing points program has low redemption rates or member engagement
- When wanting to add tiered VIP benefits to an existing points program
- When diagnosing whether your loyalty program is driving incremental revenue or just rewarding purchases that would have happened anyway
Core Instructions
Step 1: Choose the right loyalty platform
| Platform | Best For | Shopify | WooCommerce | BigCommerce | Price |
|---|---|---|---|---|---|
| Smile.io | Simplicity, quick setup | App Store | Plugin | App Marketplace | Free tier; $49/mo for tiers |
| Yotpo Loyalty | Brands already using Yotpo Reviews/SMS | App Store | Limited | App Marketplace | $199+/mo |
| LoyaltyLion | Advanced program design, custom rules | App Store | Plugin | App Marketplace | $399+/mo |
| Stamped Loyalty | Brands using Stamped Reviews | App Store | — | — | $119+/mo |
| YITH WooCommerce Points and Rewards | WooCommerce only | — | Plugin | — | $149/yr |
Recommend Smile.io for most stores — it has the best balance of features and simplicity, works on all major platforms, and has a free tier to start.
Step 2: Design your program structure
Before installing anything, define:
Points earn rate:
- 1 point per $1 spent (= 1% cashback equivalent at 100 points = $1)
- Adjust based on your margins — consumer goods (30%+ margin): 1 point per $1 is fine; lower margin products: 0.5 points per $1
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/points-engine-earn-logic/criteria.json 2.4 KB
- evals/points-engine-earn-logic/task.md 1.9 KB
- evals/points-expiry-and-program-analytics/criteria.json 3.0 KB
- evals/points-expiry-and-program-analytics/task.md 1.9 KB
- evals/tier-structure-and-points-redemption/criteria.json 2.6 KB
- evals/tier-structure-and-points-redemption/task.md 2.0 KB
- tile.json 329 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 · 203 lines · 34 tokens per session scan A 453d68ad2fa4
loyalty-program-optimization is a skill published in the GitHub repository finsilabs/awesome-ecommerce-skills (52 stars, last pushed 6mo ago), licensed MIT. It adds 34 tokens to every session and 2,371 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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