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 anbeime/skill --skill ecommerce-full-pipelinegit clone --depth 1 https://github.com/anbeime/skillWrote 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/anbeime/skill/ecommerce-full-pipeline)<a href="https://agentmods.dev/skills/anbeime/skill/ecommerce-full-pipeline"><img src="https://agentmods.dev/badge/skills/anbeime/skill/ecommerce-full-pipeline/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/anbeime/skill/ecommerce-full-pipeline"><img src="https://agentmods.dev/badge/skills/anbeime/skill/ecommerce-full-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00096 | $0.02770 |
| Opus 5.5 | $0.00038 | $0.01108 |
| Sonnet 5.5 | $0.00019 | $0.00554 |
| Haiku 4.5 | $0.00010 | $0.00277 |
Grade A, and why
ecommerce-full-pipeline 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 · 244 lines · 96 tokens per session scan A c7fe3b4d0c4c
ecommerce-full-pipeline is a skill published in the GitHub repository anbeime/skill (8,616 stars, last pushed yesterday), with no licence file. It adds 96 tokens to every session and 2,770 once invoked, about $0.0004 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.
Other skills, from other repositories
commerce-ai-tools
Use this skill when applying AI tools to commerce - Retail, marketing, finance, and talent.
ecommerce-product-scraping
Use when you need to scrape e-commerce product data — titles, brands, prices, MRP/list price, discounts, ratings, variants/sizes, availability, images, and product URLs — from online storefronts and marketplaces. Covers Amazon, Flipkart, AliExpress, Myntra, Nykaa, Meesho, Snapdeal, Noon, AJIO, FirstCry, Tata Cliq, and…
food-delivery-scraping
Use when you need data from food-delivery platforms — restaurants, menus, item prices, ratings, and delivery times/fees — for menu and price intelligence, restaurant coverage analysis, market analysis, or competitor menu tracking. Covers Swiggy and Zomato (India), Talabat (Middle East), Deliveroo (UK/UAE/EU), and Noon…
grand-slam-offers
Master Alex Hormozi's offer creation framework from "$100M Offers" (2021). Build irresistible offers using the Value Equation, stacking, guarantees, and scarcity. Use when: Creating new product or service offers; Restructuring existing offers for higher conversions; Pricing premium products and services; Building…
pricing-strategy
Design products around price using Madhavan Ramanujam's "Monetizing Innovation" methodology—determine willingness to pay before you build, not after. Use when: Set pricing for a new product before or during development; Validate willingness to pay before investing in features; Structure pricing tiers…
loop-engineer
Domain-agnostic autonomous loop for any goal — coding, research, content, data, automation, or any objective. Asks 3 questions, then orchestrates a self-assembling agent team (resource-scout, researcher, planner, agent-factory, executor, verifier, auditor, memory-keeper) that researches, discovers resources, builds…