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 cclank · Claude Skill · ★ 343
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is lanshu-awesome-ai-video-kit safe to install? View the security audit →
Featured in: AI Video Generation & Editing: Seedance, Kling & Subtitles
🎬 lanshu-awesome-ai-video-kit 做企业 AI 视频项目逼出来的开源工具包 543 实测 prompt · 16 模型 · 7 Claude Skill · 21 篇方法论 · GitHub Action 每周自动监控官方端点 🇨🇳 中文 · 🇬🇧 English · 🌐 Live Demo · ⚡ awesome 投稿 [ + exact prompt syntax for
AI video generation SDK — JSX for videos. One API for Kling, Flux, ElevenLabs, Veed. Built on Vercel AI SDK.
10 Claude skills that generate studio-quality AI video prompts for Seedance 2.0 on Higgsfield. Viral hooks, Sa
Zero-skill cinema. Senior-director prompts on autopilot. A Claude Code Skill for high-quality AI image / video
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lanshu-awesome-ai-video-kit is 做企业 AI 视频项目逼出来的工具包 · 411 prompt · 15 模型 · 7 Claude Skill · 14 篇方法论. It is categorized as a Claude Skill with 343 GitHub stars.
lanshu-awesome-ai-video-kit is primarily written in HTML. It covers topics such as ai-video, awesome, awesome-list.
You can find installation instructions and usage details in the lanshu-awesome-ai-video-kit GitHub repository at github.com/cclank/lanshu-awesome-ai-video-kit. The project has 343 stars and 84 forks, indicating an active community.
lanshu-awesome-ai-video-kit is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to lanshu-awesome-ai-video-kit on Agent Skills Hub include ai-shortfilm-prompts, higgsfield-ai-prompt-skill, visual-skills. 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: