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 apify/awesome-skills --skill apify-ecommercegit clone --depth 1 https://github.com/apify/awesome-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/apify/awesome-skills/apify-ecommerce)<a href="https://agentmods.dev/skills/apify/awesome-skills/apify-ecommerce"><img src="https://agentmods.dev/badge/skills/apify/awesome-skills/apify-ecommerce/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/apify/awesome-skills/apify-ecommerce"><img src="https://agentmods.dev/badge/skills/apify/awesome-skills/apify-ecommerce.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector pass
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 | $0.00071 | $0.04953 |
| Opus 5.5 | $0.00028 | $0.01981 |
| Sonnet 5.5 | $0.00014 | $0.00991 |
| Haiku 4.5 | $0.00007 | $0.00495 |
Grade A, and why
apify-ecommerce 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 1mo 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 — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.
E-Commerce Cluster
Answer natural language e-commerce questions by routing to the right Apify Actor and delivering a synthesized answer via the apify CLI.
CLI rules: Always pass --user-agent apify-awesome-skills/apify-ecommerce, --json (or the relevant --format flag on datasets get-items), and 2>/dev/null. The --user-agent flag is critical for telemetry — never omit it.
Prerequisites
(No need to check it upfront)
- Apify CLI v1.5.0+ (
npm install -g apify-cli) jq(recommended for quick extraction and filtering;brew install jqon macOS,apt install jqon Linux)- Authentication via one of:
apify login(OAuth, opens browser)APIFY_TOKENenv variable (e.g.export APIFY_TOKEN=...or.envfile)- Token from Apify Console → Settings → Integrations
Verify auth: apify info --user-agent apify-awesome-skills/apify-ecommerce — should show username and userId.
Workflow
Copy this checklist and track progress:
Task Progress:
- [ ] Step 1: Detect intent and select Actor
- [ ] Step 2: Fetch Actor schema
- [ ] Step 3: Ask user preferences (format, result count)
- [ ] Step 4: Run the Actor and fetch results
- [ ] Step 5: Analyze results and deliver synthesized answer
Step 1: Detect Intent and Select Actor
Classify the user's message into an intent, then pick the right Actor.
Intent signals:
| Signals in user message | Intent |
|---|---|
| price, cost, cheapest, compare prices, pricing | pricing |
| review, rating, sentiment, stars, feedback | reviews |
| bestseller, top selling, most popular, trending | bestsellers |
| seller, vendor, reseller, who sells | sellers |
| all products from, scrape store, full catalog | store-scrape |
| what platform, built on, tech stack, Shopify or WooCommerce | tech-stack |
| SEO, listing quality, product page audit | seo-audit |
| competitor funnel, competitor pricing, conversion elements | competitor |
| search intent, keyword intent, SERP intent | search-intent |
| match products, same product on different platforms | product-matching |
| restaurant, food delivery, DoorDash, UberEats, TheFork | food-delivery |
| enrich store, store metadata, store list | store-enrichment |
| event, concert, ticket, Eventbrite | events |
| property, real estate, house listing, Realtor | real-estate |
| Facebook ads, Meta ads, ad library, competitor ads | ads-intelligence |
| classified, Craigslist, used item for sale | classifieds |
| car, used car, vehicle, automotive, Webmotors | automotive |
| pins, inspiration, Pinterest boards, visual search, Pinterest trends | content-discovery |
| TikTok Shop, TikTok store, TikTok creator | tiktok-shop |
| website for sale, domain for sale, Flippa | website-marketplace |
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.
- 1mo ago First seen · 276 lines · 71 tokens per session scan A f6f79ef53408
apify-ecommerce is a skill published in the GitHub repository apify/awesome-skills (280 stars, last pushed 28d ago), licensed Apache-2.0. It adds 71 tokens to every session and 4,953 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-30.
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