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 tsensei · Agent Tool · ★ 156
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is OpenReels safe to install? View the security audit →
OpenReels []() []() []() Open-source AI pipeline that turns any topic into a publish-ready YouTube/Instagram/TikTok Short. One command. Research, script, voiceover, AI-generated visuals, AI-generated music, animated captions, scene transitions. Out comes a vertical MP4, ready to upload. Web UI with live pipeline visualization, REST API, Docker, and CLI. Bring your own API keys. Demo https://github.com/user-attachments/assets/c4df8893-7764-43c3-b004-ef610fec710f Topic in, MP4 out. This video was generated in a single command: Web UI Live pipeline visualization. Watch research, script, voiceover, visuals, music, and assembly stages stream in real time. Screenshots <t
| Stars | 156 |
| Forks | 33 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 65.579318144357/100 |
| Open Issues | 1 |
| Last Updated | 2026-04-10 |
| Created | 2026-03-28 |
| Platforms | cli, docker, gemini, node |
| Est. Tokens | ~4430k |
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OpenReels is Open-source AI pipeline that turns any topic into a publish-ready YouTube/Instagram/TikTok Short — research, script, voiceover, visuals, music, captions, and assembly in one command.. It is categorized as a Agent Tool with 156 GitHub stars.
OpenReels is primarily written in TypeScript. It covers topics such as ai, ai-video, anthropic.
You can find installation instructions and usage details in the OpenReels GitHub repository at github.com/tsensei/OpenReels. The project has 156 stars and 33 forks, indicating an active community.
OpenReels is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to OpenReels on Agent Skills Hub include vibeframe, openrouter-mcp-multimodal, palico-ai. 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: