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 0xsline · MCP Server · ★ 1.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is OpenChatCut safe to install? View the security audit →
OpenChatCut 简体中文 · English Open-source ChatCut alternative · agent-native · local-first AI video editor Let Codex, Claude Code, and the built-in agent read, edit, and export real video projects that remain fully editable. Website: openchatcut.com Introduction · Product Tour · Quick Start · Agent / MCP · Changelog · Star Growth · Contributing <img alt="T
| Stars | 1,739 |
| Forks | 259 |
| Language | TypeScript |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 64.8707812376025/100 |
| Open Issues | 34 |
| Last Updated | 2026-09-11 |
| Created | 2026-07-15 |
| Platforms | claude-code, codex, mcp, node |
| Est. Tokens | ~19k |
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OpenChatCut is Open-source, local-first conversational AI video editor with a professional multi-track timeline, Agent Skills, MCP integration, and Remotion rendering.. It is categorized as a MCP Server with 1.7k GitHub stars.
OpenChatCut is primarily written in TypeScript. It covers topics such as agent-skills, agentic-ai, ai-agent.
You can find installation instructions and usage details in the OpenChatCut GitHub repository at github.com/0xsline/OpenChatCut. The project has 1.7k stars and 259 forks, indicating an active community.
OpenChatCut is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to OpenChatCut on Agent Skills Hub include Nomi, open-cowork, skills-hub. 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: