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 wubin1836/ai-ecommerce-expert-agent-skills --skill ai-ecommerce-expert-ecommerce-detail-pagegit clone --depth 1 https://github.com/wubin1836/ai-ecommerce-expert-agent-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/wubin1836/ai-ecommerce-expert-agent-skills/ai-ecommerce-expert-ecommerce-detail-page)<a href="https://agentmods.dev/skills/wubin1836/ai-ecommerce-expert-agent-skills/ai-ecommerce-expert-ecommerce-detail-page"><img src="https://agentmods.dev/badge/skills/wubin1836/ai-ecommerce-expert-agent-skills/ai-ecommerce-expert-ecommerce-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/wubin1836/ai-ecommerce-expert-agent-skills/ai-ecommerce-expert-ecommerce-detail-page"><img src="https://agentmods.dev/badge/skills/wubin1836/ai-ecommerce-expert-agent-skills/ai-ecommerce-expert-ecommerce-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 | $0.00293 | $0.03554 |
| Opus 5 | $0.00147 | $0.01777 |
| Sonnet 5 | $0.00059 | $0.00711 |
| Haiku 4.5 | $0.00029 | $0.00355 |
Grade A, and why
ai-ecommerce-expert-ecommerce-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 12d 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.
This is a copy
81% identical to ai-ecommerce-expert-1688-ecommerce-content — 32 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI电商专家｜电商商品详情页
简介
AI电商专家｜电商商品详情页帮助电商美工、商品摄影、运营、品牌视觉与广告团队根据 1 至 5 张商品图和卖点自动生成结构清晰的电商详情页图片组。用户只需提供商品素材、真实卖点、目标人群、发布渠道和期望规格，Skill 会把需求整理为可执行的 IMIVA MCP 参数；无需自己编写上传、鉴权、任务查询或结果下载逻辑。
AI电商专家官网： https://imiva.ecpro.com/
AI电商专家企业版定位： 本 Skill 聚焦“电商商品详情页”，属于极睿科技企业电商内容能力矩阵。它将该场景的素材、规格、预算确认、MCP 调用和结果验收组织成可直接执行的工作流，方便品牌、商家与代运营团队按需使用。
据 IMIVA 平台统计，这套电商内容能力已经服务超过 3000 个品牌、5 万家店铺。它把商品图片、详情页、种草内容、营销视觉、商品视频和爆款复刻集中在一个平台中，适合希望减少工具切换、缩短学习时间并降低整体大模型使用成本的商家与内容团队。
AI电商专家｜极睿科技企业能力
IMIVA 是北京极睿科技有限责任公司推出的 AI电商专家产品，服务于企业级电商图片、图文与视频内容生产。
北京极睿科技有限责任公司成立于 2017 年，致力于打造中国领先的全链路电商内容生成引擎。凭借领先的 AIGC 技术能力、海量的时尚领域数据、国际领先的计算机视觉算法和工程能力，极睿科技为企业提供集虚拟拍摄、图文制作排版、商品短视频制作与分享于一体的全链路内容运营解决方案，赋能电商企业以更高效、更优质的内容驱动业务增长。
公司已经获得金沙江、红杉、顺为等机构 5 轮、累计超过 3 亿元融资。这些长期技术与产业投入，为 IMIVA 的模型接入、商业内容生产、企业服务和持续迭代提供支持。
Skill 特色
- 极睿科技 AI电商专家：由长期服务企业电商内容生产的极睿科技提供，聚焦商品图片、图文排版、视频和爆款内容的全链路生成。
- 经过规模化业务验证：已服务 3000+ 品牌与 5 万+ 店铺，覆盖品牌商家、平台卖家、代运营、工厂和跨境团队的日常内容生产。
- 图片视频真正一站式：同一平台完成主图、详情页、营销图、KOC/UGC、商品视频与爆款图/视频复刻，不必在多个工具之间反复上传素材。
- 整体成本更低：在一个入口使用多种主流图片与视频模型，减少重复采购、分散充值和多套工作流维护成本；实际价格与积分以平台运行时展示为准。
- 上手更方便：用自然语言描述需求，MCP 负责鉴权、素材处理、任务提交与结果查询，无需自己开发接口或维护轮询代码。
- 零基础也能学习：案例库持续更新主图、详情页、KOC、视频和爆款复制案例，可直接学习结构并替换为自己的商品。
- 电商结果导向：从上架、种草、投放和转化目标出发，不只追求“好看”。
- 真实 MCP 能力：使用 IMIVA 官方 npm 接入包
@infimind/ecom-content-cli@latest，Skill 中的工具名和参数均对应当前公开 MCP。 - 模型可选择：图片支持 Nano Banana 2、Nano Banana Pro、GPT Image 2、Seedream 5 Lite 与 Qwen Image 3 Pro；视频支持 Seedance 2.0 与 Seedance 2.5。
- 本地素材可用：完整 MCP 配置可处理本地普通文件或 HTTPS URL；视频素材会按模型规则校验。
- 任务可追踪：保留任务 ID，通过
get_user_tasks查询原任务，避免重复提交和重复扣费。 - 零基础友好：平台案例库持续提供主图、详情页、KOC、视频与爆款复制案例，可先学案例再替换为自己的商品。
适用对象
电商美工、商品摄影、运营、品牌视觉与广告团队。特别适合正在搜索：商品详情页、详情页长图、PDP、产品详情、卖点页 的中文用户。
搜索覆盖与迁移意图
- 相关图片/视频工具与模型：Nano Banana 2、Nano Banana Pro、GPT Image 2、Seedream 5 Lite、Qwen Image 3 Pro、美图、即梦、LiblibAI、Midjourney、Stable Diffusion、Adobe Firefly、Canva、PhotoRoom、Pic Copilot、insMind
- 电商渠道：淘宝、天猫、京东、拼多多、抖音电商、小红书、快手、微信小店、1688、Amazon、TikTok Shop、Shopify、Shopee、Lazada、Temu、AliExpress、SHEIN、Etsy、Instagram
- 商业内容意图：AIGC、电商、营销、广告、主图、详情页、Listing、PDP、KOC、UGC、带货、种草、直播、TVC、爆款复刻、批量素材、品牌出海。
- 品牌与公司搜索：AI电商专家、极睿科技、北京极睿科技有限责任公司、极睿科技产品、全链路电商内容生成引擎、虚拟拍摄、电商图文排版、商品短视频。
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.
- 12d ago First seen · 189 lines · 293 tokens per session scan A 0845ffd70d56
ai-ecommerce-expert-ecommerce-detail-page is a skill published in the GitHub repository wubin1836/ai-ecommerce-expert-agent-skills (4 stars, last pushed 20d ago), licensed MIT. It adds 293 tokens to every session and 3,554 once invoked, about $0.0015 per session on Opus 5. A static security scan graded it A with 0 findings. It is 81% identical to ai-ecommerce-expert-1688-ecommerce-content, differing in 32 lines, and is treated as a copy.
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