ecom-product-shots-detail-page

ecom-product-shots-detail-page is a skill for Claude Code, Codex from ddcat-ai/open-ai-canvas. It costs 45 tokens per session (319 once invoked), scanned A, original, MIT.

A guide for planning a modular product detail page, where separate content sections answer separate buying questions. It keeps the main visual, product identity, typography, and lighting consistent across the sections.

In plain words
What is it for?
Use it to organise product-detail modules showing different views, explanations, and text areas at the requested sizes and proportions.
Why use it?
It prevents a detail page from becoming a repeated set of images or from copying fixed layouts that may not fit the request or platform.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to organise product-detail modules showing different views, explanations, and text areas at the requested sizes and proportions.

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Install with agentmods
npx agentmods add skills/ddcat-ai/open-ai-canvas/ecom-product-shots-detail-page
About the project

影策 is an open-source workspace for AI film and short-video production, using a freeform canvas and structured workflows to organize scripts, characters, scenes, storyboards, media assets, and generated text, images, video, and audio. It is for creators who manage audiovisual projects through local or trusted deployments, with features for task tracking, asset management, timelines, and AI-agent workflows.

ddcat-ai/open-ai-canvas · 1,677 stars · on GitHub · yingce.tv

Install

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.

Any agent
npx skills add ddcat-ai/open-ai-canvas --skill ecom-product-shots-detail-page
Clone the repo
git clone --depth 1 https://github.com/ddcat-ai/open-ai-canvas

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for ecom-product-shots-detail-page

README.md
[![agentmods](https://agentmods.dev/badge/skills/ddcat-ai/open-ai-canvas/ecom-product-shots-detail-page/github.svg)](https://agentmods.dev/skills/ddcat-ai/open-ai-canvas/ecom-product-shots-detail-page)
Your own site
<a href="https://agentmods.dev/skills/ddcat-ai/open-ai-canvas/ecom-product-shots-detail-page"><img src="https://agentmods.dev/badge/skills/ddcat-ai/open-ai-canvas/ecom-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.

agentmods 80×15 button for ecom-product-shots-detail-page

Your own site · 80×15
<a href="https://agentmods.dev/skills/ddcat-ai/open-ai-canvas/ecom-product-shots-detail-page"><img src="https://agentmods.dev/badge/skills/ddcat-ai/open-ai-canvas/ecom-product-shots-detail-page.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 319 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00045 $0.00319
Opus 5.5 $0.00018 $0.00128
Sonnet 5.5 $0.00009 $0.00064
Haiku 4.5 $0.00005 $0.00032

Measured yesterday against content hash 8cef72cb6bd6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ecom-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 yesterday.

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.

backend/internal/ecommerceskills/packages/ecom-product-shots-detail-page/SKILL.md · 23 lines

What it actually says

模块式品牌详情

输入与适用范围

使用本轮商品事实、参考素材职责、用户提示词、目标平台及已确认风格。

执行方法

以已确认主视觉作为美术锚点,把每个模块分配给一个购买问题,按实际张数和用户参考模式组织。

图片执行要求

模块共享商品身份、字体和用光,单页独立安排远近景与文字安全区,尺寸和比例沿用本轮请求。

交付核对

不能复制来源里的固定模块数量或未知平台阈值,不因系列统一而重复同一商品机位。

来源与适配

https://github.com/motiful/product-shots/blob/063c508b0b7f4db5cda89f10bdf20df25026dfc5/skills/product-shots-detail-page/SKILL.md 版本:063c508b0b7f4db5cda89f10bdf20df25026dfc5。按 MIT 许可改编;仅保留适合本工作台的创意方法,不导入来源脚本、指定供应商、固定页数或平台示例阈值。

Changes

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.

  1. yesterday First seen · 23 lines · 45 tokens per session scan A 8cef72cb6bd6

Subscribe to this mod's changes

ecom-product-shots-detail-page is a skill published in the GitHub repository ddcat-ai/open-ai-canvas (1,677 stars, last pushed today), licensed MIT. It adds 45 tokens to every session and 319 once invoked, about $0.0002 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 2026-11-05.

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