clipforge: ClipForge: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/

by xixihhhh · MCP Server · ★ 1.1k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install clipforge

git clone https://github.com/xixihhhh/clipforge.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 59/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-ugcai-video-creatorai-video-generatorai-voiceoveraigcdouyinecommercefaceless-videoffmpegkuaishou

Quick Facts

Stars1,091
Forks249
LanguageTypeScript
CategoryMCP Server
LicenseAGPL-3.0
Quality Score59/100
Last Updated2026-10-26
Created2026-03-23
Platformscli, mcp, node
Est. Tokens~18k

About clipforge

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

Compatible Skills

These tools work well together with clipforge for enhanced workflows:

  • OpenReels — semantic(0.49)+complementary+rare_topics+same_lang+similar_pop+shared_platform (81%)

clipforge alternative? Top 6 similar tools

Looking for a clipforge alternative? If you're comparing clipforge with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

View on GitHub → Browse MCP Server tools