Maintainer of this skill?
Automated security scan — not a certification.
by 0xsline
Open-source, local-first conversational AI video editor with a professional multi-track timeline, Agent Skills, MCP integration, and Remotion rendering.
# Add to your Claude Code skills
git clone https://github.com/0xsline/OpenChatCutLast scanned: 7/21/2026
{
"issues": [
{
"file": "src/agent/skills/export/SKILL.md",
"line": 84,
"type": "prompt-injection",
"message": "Possible concealment directive: \"Do not tell the user\"",
"severity": "medium"
},
{
"file": "src/agent/skills/talking-head-guide/SKILL.md",
"line": 14,
"type": "prompt-injection",
"message": "Possible concealment directive: \"Never tell the user\"",
"severity": "medium"
}
],
"status": "PASSED",
"scannedAt": "2026-07-21T06:27:31.655Z",
"npmAuditRan": true,
"pipAuditRan": true,
"promptInjectionRan": true
}See how OpenChatCut compares with popular alternatives.
OpenChatCut is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by 0xsline. Open-source, local-first conversational AI video editor with a professional multi-track timeline, Agent Skills, MCP integration, and Remotion rendering. It has 2,512 GitHub stars.
Yes. OpenChatCut passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/0xsline/OpenChatCut" and add it to your Claude Code skills directory (see the Installation section above).
OpenChatCut is primarily written in TypeScript. It is open-source under 0xsline on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh OpenChatCut against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
Automated security scan — not a certification.
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If OpenChatCut helps you, you can support its continued development on Ko-fi or Afdian.
OpenChatCut is an open-source ChatCut alternative: a video editor that brings conversational agents and professional timeline editing into the same workspace. It is independent open source (AGPL), not affiliated with the commercial ChatCut product.
OpenChatCut = local video projects + multitrack timeline + AI agents + MCP + production-ready exports.
It does not merely generate a video that can no longer be changed. Every edit is written to real tracks, clips, transitions, captions, effects, and media inside the project. You can continue editing manually, undo or redo changes, save versions, or hand the project to another agent.
OpenChatCut is built for creators and developers who want AI to participate in the actual editing workflow without giving up professional control, rather than starting over from an empty chat box or an immutable generated result.
Website: https://openchatcut.com
Open-source ChatCut alternative guide: https://openchatcut.com/blog/open-source-chatcut-alternative
ChatCut vs OpenChatCut: https://openchatcut.com/blog/chatcut-vs-openchatcut
🤖 Agent-native: the built-in agent and external MCP agents share the same editing tools.
🎞️ Real timeline: multiple video and audio tracks, transitions, effects, LUTs, zooms, and keyframes.
📝 Transcript-driven editing: word-level transcription, text-based cuts, pause handling, speakers, and linked captions.
✨ Generation and media: images, video, speech, music, sound effects, and online media search.
🧩 Motion Graphics and WebGL: editable motion templates, custom shaders, visual effects, and transitions.
👁️ Visual geometry: in-browser person segmentation and face-safe zones — captions avoid the speaker automatically, reframe follows the subject, and overlay graphics land in empty space.
📦 Production-ready exports: MP4, audio, captions, FCPXML, and complete project data.
🖥️ Local-first: projects and media stay on your machine by default, while API keys remain server-side.
Join the OpenChatCut community to discuss workflows, share feedback, and follow development:
The following screenshots show real OpenChatCut projects and editor states, not static mockups.
Traditional editors excel at precise control. One-shot AI video generators excel at producing results quickly. OpenChatCut connects both approaches through one continuously editable project:
| Capability | Traditional timeline editor | One-shot AI video generation | OpenChatCut |
|---|---|---|---|
| Track- and clip-level precision | ✅ | ❌ | ✅ |
| Modify a project with natural language | ❌ | ✅ | ✅ |
| Inspectable and undoable changes | ✅ | Usually unavailable | ✅ |
| Linked transcript and visuals | Partial | ❌ | ✅ |
| Direct control from Codex / Claude Code | ❌ | ❌ | ✅ MCP |
| Built-in and external agent collaboration | ❌ | ❌ | ✅ Shared tools |
| Local projects and BYOK | Product-dependent | Usually cloud-based | ✅ |
The core editing loop:
Describe the goal → Agent reads the project → Produces verifiable edits →