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 vargHQ · Claude Skill · ★ 337
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is sdk safe to install? View the security audit →
Featured in: AI Video Generation & Editing: Seedance, Kling & Subtitles
varg — Agentic AI Video Generation SDK Create AI videos with JSX. One SDK for Kling, Flux, ElevenLabs, Sora and more. Built on Vercel AI SDK. Docs · Dashboard · Quickstart · Models · Discord varg is an open-source TypeScript SDK for AI video generation. One API key, one gateway — generate images, video, speech, music, lipsync, and captions through providers. Write videos as JSX components (like React), render locally or in the cloud. Get started For AI agents (recommended) Install the varg skill into Claude Code, Cursor, Windsurf, or any agent that supports skills. Zero code — jus
| Stars | 337 |
| Forks | 22 |
| Language | TypeScript |
| Category | Claude Skill |
| License | Apache-2.0 |
| Quality Score | 69.8610975564259/100 |
| Open Issues | 64 |
| Last Updated | 2026-09-09 |
| Created | 2025-11-22 |
| Platforms | claude-code, node |
| Est. Tokens | ~16k |
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sdk is AI video generation SDK — JSX for videos. One API for Kling, Flux, ElevenLabs, Veed. Built on Vercel AI SDK.. It is categorized as a Claude Skill with 337 GitHub stars.
sdk is primarily written in TypeScript. It covers topics such as ai-sdk, ai-video, claude-code.
You can find installation instructions and usage details in the sdk GitHub repository at github.com/vargHQ/sdk. The project has 337 stars and 22 forks, indicating an active community.
sdk is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to sdk on Agent Skills Hub include Text-To-Video-AI, lanshu-awesome-ai-video-kit, vox-ai-motion-graphics-generator. 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: