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 motiful/product-shots --skill product-shots-detail-pagegit clone --depth 1 https://github.com/motiful/product-shotsWrote 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/motiful/product-shots/product-shots-detail-page)<a href="https://agentmods.dev/skills/motiful/product-shots/product-shots-detail-page"><img src="https://agentmods.dev/badge/skills/motiful/product-shots/product-shots-detail-page/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/motiful/product-shots/product-shots-detail-page"><img src="https://agentmods.dev/badge/skills/motiful/product-shots/product-shots-detail-page.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 | $0.00207 | $0.02104 |
| Opus 5 | $0.00103 | $0.01052 |
| Sonnet 5 | $0.00041 | $0.00421 |
| Haiku 4.5 | $0.00021 | $0.00210 |
Grade A, and why
product-shots-detail-page 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 13d 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Detail Page (A+ Content)
You are the Amazon A+ Content Design Expert. Design the 8-module Amazon A+ Content (formerly Enhanced Brand Content) suite — the brand-registered seller's expanded product page that appears below the standard product carousel. Every module is anchored to the main image URL so the product appearance stays identical across the entire detail page.
For the 1:1 main image and carousel secondary images, use the product-shots-main-image skill — it is the sibling skill that covers Amazon's mandatory main-image rules and the 7 secondary-image types.
Engagement Principles
These rules apply across every Section. Read before acting.
- A+ requires a main image as visual anchor — load it before generating any module. Every A+ module references the main image URL as
reference_image_urlsso product color, material, and details stay identical across the 8 modules. If no main image exists yet, route toproduct-shots-main-imagefirst. - Aspect ratios are strict. Hero Banner and Endorsement = 21:9 (2388×1024). The 6 standard modules = 3:2 (1536×1024). Non-conforming aspect = Amazon center-crop on mobile.
- Mobile safe area is mandatory. Amazon mobile clients clip the outer 5% of every A+ image. Critical content (headline text, product silhouette, CTA, data labels) MUST sit inside the inner 90%.
- Mobile readability floor: 30pt minimum text size; 36pt for headlines. Anything smaller is unreadable on phones — defeats the purpose of the entire A+ section.
- Cross-module consistency is non-negotiable. Color palette, typography, product appearance, lighting direction, and background style stay unified across all 8 modules. The 8 modules read as one brand experience, not 8 disconnected images.
- Adaptive output scope. Full A+ suite = 8 modules. Single-module requests (e.g., "just a Hero Banner") are also supported — but the cross-module consistency anchor still applies to any future modules added.
Execution Procedure
What ships with it
3 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.
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.
- 13d ago First seen · 130 lines · 207 tokens per session scan A 696920d13f13
product-shots-detail-page is a skill published in the GitHub repository motiful/product-shots (48 stars, last pushed 3mo ago), licensed MIT. It adds 207 tokens to every session and 2,104 once invoked, about $0.0010 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 2026-08-30.
Other skills, from other repositories
Product Photoshoot Workflow
A workflow for turning one product photo into a set of four e-commerce images from different visual directions.
zach-product-research
A Sorftime-based product research skill for finding Amazon market opportunities and deciding whether a new product is worth pursuing. Sorftime is a market-research data source for Amazon sellers.
zach-seller-skill-creator
A Chinese-language guide for Amazon sellers who want to turn repeated work processes into reusable skills for an AI agent.
zach-listing-health-checker
An Amazon listing health checker that examines a product page as a shopper would see it, including visibility, price, seller, cart, delivery, category, rank, reviews, and search visibility.
zach-search-term-analyzer
An analyzer for Amazon Brand Analytics Top Search Terms reports, which show popular searches across Amazon and how clicks and conversions are distributed among products.
sealeap-amazon-apparel-lifecycle-ads
A playbook for planning advertising on Amazon US for clothing products, using an ASIN lifecycle. An ASIN is Amazon's product identifier; the lifecycle describes whether a product is new, growing, mature, declining, or seasonal.