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 agentmods add skills/imoonkey/openweb/amazonnpx skills add imoonkey/openweb --skill amazongit clone --depth 1 https://github.com/imoonkey/openwebWhat 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 | $0.00000 | $0.00693 |
| Opus 5 | $0.00000 | $0.00347 |
| Sonnet 5 | $0.00000 | $0.00139 |
| Haiku 4.5 | $0.00000 | $0.00069 |
Grade A, and why
amazon 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 2d 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Amazon
Overview
E-commerce marketplace — search products, view details, read reviews, browse deals, manage cart.
Workflows
Search and view product details
searchProducts(k)→ product list withasingetProductDetail(asin)→ full product info (name, price, brand, rating)getProductReviews(asin)→ customer reviews
Browse deals
searchDeals(startIndex, pageSize)→ deal products with pricing and badgesgetProductDetail(asin)← asin from deal product → full product info
Discover trending products
getBestSellers→ ranked best-selling products
Cart operations
searchProducts(k)→asinaddToCart(asin)→cartCount,subtotalgetCart→ cart items withasin,title,quantity,subtotalremoveFromCart(asin ← getCart)→ updated cart
Operations
| Operation | Intent | Key Input | Key Output | Notes |
|---|---|---|---|---|
| searchProducts | search products by keyword | k (query) | asin, title, price, rating | entry point; paginated (page param) |
| getProductDetail | view full product info | asin ← searchProducts | name, price, brand, description, rating, reviewCount | DOM selector extraction |
| getProductReviews | read customer reviews | asin ← searchProducts | rating, title, body, author, date | paginated (pageNumber); sortBy: recent/helpful |
| searchDeals | browse active deals | startIndex, pageSize | asin, title, price, dealBadge, percentClaimed | JSON API; paginated (nextIndex) |
| getBestSellers | view best sellers | — | title, price, rating, link | entry point |
| addToCart | add product to cart | asin ← searchProducts, quantity? | success, cartCount, subtotal | write op; clicks Add to Cart, verifies via cart JSON API |
| removeFromCart | remove product from cart | asin ← getCart | success, cartCount, subtotal | write op; reverse of addToCart; clicks Delete in cart |
| getCart | view cart contents | — | items (asin, title, price, quantity), subtotal | JSON API + DOM enrichment |
What ships with it
14 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.
- adapters/amazon.ts 14 KB runs code
- DOC.md 4.8 KB
- examples/addToCart.example.json 231 B
- examples/getBestSellers.example.json 211 B
- examples/getCart.example.json 204 B
- examples/getProductDetail.example.json 235 B
- examples/getProductReviews.example.json 236 B
- examples/removeFromCart.example.json 259 B
- examples/searchDeals.example.json 240 B
- examples/searchProducts.example.json 226 B
- manifest.json 356 B
- openapi.yaml 16 KB
- pipeline-gaps.md 2.5 KB
- PROGRESS.md 3.2 KB
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.
- 2d ago First seen · 66 lines · 0 tokens per session scan A 02eb6947756d
amazon is a skill published in the GitHub repository imoonkey/openweb (56 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 693 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.
Other skills, from other repositories
nemoclaw-contributor-implement-issue
Implement an accepted NemoClaw GitHub issue in the current checkout. Use when a user asks to pick up an issue for implementation, implement or fix a named issue, or add the issue's tests. Confirm accepted scope, deliver the smallest independently valuable capability slice, and record validation and remaining gates…
amazon-bestseller-listing
Amazon Best Sellers listing scraper: extract product cards from any Amazon Best Sellers (zgbs) or /gp/bestsellers/ category page — returns rank (position on chart), asin, title, url, image, imageAlt, price, stars, reviewCount, ratingRaw per item, plus category metadata (categoryName, categoryFullName, categoryUrl) and…
amazon-reviews-api-skill
This skill helps users automatically extract Amazon product reviews via the Amazon Reviews API. Agent should proactively apply this skill when users express needs like getting reviews for Amazon product with ASIN B07TS6R1SF, analyzing customer feedback for a specific Amazon item, getting ratings and comments for a…
amazon-competitor-analyzer
Scrapes Amazon product data from ASINs using browseract.com automation API and performs surgical competitive analysis. Compares specifications, pricing, review quality, and visual strategies to identify competitor moats and vulnerabilities.
cabloy-worktree-environment
This skill must be used only when the user explicitly invokes /cabloy-worktree-environment or explicitly asks to perform the named Cabloy worktree-environment setup. It prepares a confirmation-gated, worktree-local Vona and Zova runtime environment for a linked Cabloy Basic or Cabloy Start Git worktree using Git…
shopify-hydrogen
Hydrogen storefront implementation cookbooks. Some of the available recipes are: B2B Commerce, Bundles, Combined Listings, Custom Cart Method, Dynamic Content with Metaobjects, Express Server, Google Tag Manager Integration, Infinite Scroll, Legacy Customer Account Flow, Markets, Partytown + Google Tag Manager…