No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by coolqoo · Agent Tool · ★ 392
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is 1click-ecom-detailpage safe to install? View the security audit →
English | 简体中文 🛍️ 1Click Ecom PDP Skill Generate high-converting e-commerce main images and Product Detail Pages (PDP) in one click. 1Click Ecom PDP Skill is an e-commerce image generation tool designed specifically for AI Agents. You simply tell it "what product you're selling" and "who the target audience is", and it will automatically write English marketing copy, plan the layout structure, and call AI image generation tools to deliver a complete set of ready-to-publish product images (Main Images + Detail Page Images). ✨ Core Features 📸 End-to-End One-Click Generation: Automatically generates 5 main images + 79 detail page images (by default) based on simple descriptions, with fully automated delivery. 🎨 Visual Consistency Across Images: Automatically aligns style and product subject to ensure the whole image set has a unified visual identity, eliminating the "patchwork" feel. 🎯 Conversion-Driven Copy & Structure: Built-in blockbuster logic, automatical
| Stars | 392 |
| Forks | 58 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 57.9514671516225/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-16 |
| Created | 2026-05-06 |
| Platforms | cli, python |
| Est. Tokens | ~9k |
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1click-ecom-detailpage is 一键生成高转化跨境电商主图与商品详情页的 AI Agent Skill. It is categorized as a Agent Tool with 392 GitHub stars.
1click-ecom-detailpage is primarily written in Python.
You can find installation instructions and usage details in the 1click-ecom-detailpage GitHub repository at github.com/coolqoo/1click-ecom-detailpage. The project has 392 stars and 58 forks, indicating an active community.
The top alternatives to 1click-ecom-detailpage on Agent Skills Hub include awesome-android-agent-skills, agent-skills, claude-code-skill-factory. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: