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 xixihhhh · MCP Server · ★ 726
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is clipforge safe to install? View the security audit →
ClipForge — 开源 AI 带货短视频神器 ｜ 一张商品图，自动出卖货视频 把一张商品图，变成会出单的卖货短视频。 上传商品图 → AI 提炼卖点 · 写种草脚本 · 锁定商品原图不变形 · 配音 + 字幕 + BGM → 几十秒产出能直接发抖音小店 / 快手 / 小红书 / TikTok Shop 的带货视频。一个人一天出几十条 · 0 成本批量 · 开源无水印。 📌 原『带货剪手 / daihuo-jianshou』，仓库 · Star · 历史全部延续；也支持「一句话主题成片」做任意非带货题材。 English · 中文 🛍️ 不是又一个 AI 视频工具——它专为带货而生 市面上 AI 短视频工具一抓一大把，但大多做不了真正的带货：不会提炼卖点、不懂平台算法、还会把你的商品改得面目全非
| Stars | 726 |
| Forks | 158 |
| Language | TypeScript |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 58.6069286665108/100 |
| Last Updated | 2026-09-07 |
| Created | 2026-03-23 |
| Platforms | cli, mcp, node |
| Est. Tokens | ~18k |
These tools work well together with clipforge for enhanced workflows:
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clipforge is ClipForge（原『带货剪手』/ daihuo-jianshou）：开源 AI 带货短视频神器——上传一张商品图，AI 自动提炼卖点 + 写种草脚本 + 锁定商品原图不变形 + 配画面/配音/字幕，一键产出抖音小店 / 快手 / 小红书 / TikTok Shop 卖货短视频。0 成本批量出片、开源无水印、本地自部署。也支持一句话主题成片。Open-source AI e-commerce/U. It is categorized as a MCP Server with 726 GitHub stars.
clipforge is primarily written in TypeScript. It covers topics such as ai-ugc, ai-video-creator, ai-video-generator.
You can find installation instructions and usage details in the clipforge GitHub repository at github.com/xixihhhh/clipforge. The project has 726 stars and 158 forks, indicating an active community.
clipforge is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to clipforge on Agent Skills Hub include short-video-maker, awesome-generative-ai-apps, metamcp. 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: