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 review-generation-enginegit 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/review-generation-engine)<a href="https://agentmods.dev/skills/finsilabs/awesome-ecommerce-skills/review-generation-engine"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/review-generation-engine/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/review-generation-engine"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/review-generation-engine.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 | $0.02125 |
| Opus 5 | $0.00015 | $0.01063 |
| Sonnet 5 | $0.00006 | $0.00425 |
| Haiku 4.5 | $0.00003 | $0.00213 |
Grade A, and why
review-generation-engine 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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review Generation Engine
Overview
Product reviews are the most trusted form of social proof — 88% of shoppers consult reviews before purchasing, and products with 50+ reviews convert 4.6% better than those with none. The fastest path to high review volume is a systematic post-purchase request sequence triggered by delivery confirmation, not order placement. Dedicated review apps (Judge.me, Yotpo, Stamped) handle the entire request flow, photo upload UI, and verified buyer badges without custom code.
When to Use This Skill
- When a new product has fewer than 10 reviews and needs social proof to convert
- When overall review volume is low despite healthy order volume
- When wanting to add photo or video review incentives to an existing text-only system
- When migrating to a new review platform and needing to rebuild the request sequence
Core Instructions
Step 1: Choose the right review platform
| Platform | Best For | Shopify | WooCommerce | BigCommerce | Price |
|---|---|---|---|---|---|
| Judge.me | Best value, full features | App Store | Plugin | App Marketplace | Free tier; $15/mo for photos |
| Yotpo | Enterprise, social sharing, UGC | App Store | Plugin | App Marketplace | Free tier; $119+/mo |
| Stamped.io | Loyalty + review combination | App Store | Plugin | App Marketplace | $23+/mo |
| Okendo | DTC brands, media reviews, attributes | App Store | — | — | $19+/mo |
| WooCommerce Reviews | Basic, built-in | — | Built-in | — | Free |
Recommendation: Use Judge.me for most stores — the best feature-to-price ratio, free plan allows unlimited reviews, and $15/month unlocks photo reviews (the single highest-converting feature).
Step 2: Configure your review request sequence
Shopify with Judge.me
- Install Judge.me from the Shopify App Store
- Go to Judge.me → Settings → Review Requests
- Configure the request timing:
- First request: 7 days after order fulfillment (not order placement — wait until the product is received and used)
- Second request (if no review): 14 days after first request
- Go to Judge.me → Settings → Emails and customize:
- Email 1 (day 7): Simple request with star rating widget — clicking a star pre-fills the rating in the form
- Email 2 (day 21): Add a photo review incentive — "Add a photo and get 15% off your next order"
- Enable Verified Buyer badge — displayed automatically on reviews from confirmed purchasers
- Go to Judge.me → Settings → Moderation and set auto-publish rules:
- Auto-publish: ratings 3–5 stars
- Hold for manual review: ratings 1–2 stars
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/post-purchase-review-request-scheduling/criteria.json 2.7 KB
- evals/post-purchase-review-request-scheduling/task.md 1.9 KB
- evals/review-moderation-pipeline-and-rating-ag/criteria.json 3.1 KB
- evals/review-moderation-pipeline-and-rating-ag/task.md 1.8 KB
- evals/tokenized-review-form-and-submission-end/criteria.json 2.9 KB
- evals/tokenized-review-form-and-submission-end/task.md 1.9 KB
- tile.json 320 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 · 171 lines · 29 tokens per session scan A ae52668905de
review-generation-engine 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 2,125 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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