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Video Frames
by
Peter Steinberger
· GitHub ↗
· v1.0.0
58261
Downloads
133
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install video-frames
Description
Extract frames or short clips from videos using ffmpeg.
Usage Guidance
Install only if you are comfortable running FFmpeg on local video files. Prefer --time or use simple numeric --index values, and do not pass --index from untrusted or automatically generated input until the script validates it as a non-negative integer.
Capability Analysis
Type: OpenClaw Skill
Name: video-frames
Version: 1.0.0
The skill bundle is benign. The `SKILL.md` provides clear instructions for extracting video frames using `ffmpeg` and does not contain any prompt injection attempts against the AI agent. The `scripts/frame.sh` script correctly parses arguments, validates input, and executes `ffmpeg` commands with proper quoting, preventing shell injection. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, or other high-risk behaviors. The functionality is clearly aligned with its stated purpose.
Capability Assessment
Credentials
Local file reads and writes are proportionate for video-frame extraction. The FFmpeg filtergraph injection warning is a bounded robustness issue, not evidence of credential access, privilege escalation, exfiltration, or destructive behavior.
Install Mechanism
Install metadata only declares ffmpeg as a required binary and offers a Homebrew ffmpeg install; no hidden installer, remote code retrieval, or package persistence was found.
Instruction Scope
Runtime instructions are narrow and user-directed, but the optional --index value is passed into an FFmpeg filter expression without numeric validation.
Persistence & Privilege
No cross-session hooks, services, scheduled tasks, memory writes, tool hijacking, or privilege-escalation behavior were present in the inspected artifact files.
Purpose & Capability
The skill purpose is coherent: SKILL.md describes extracting frames or thumbnails from videos, and scripts/frame.sh only invokes ffmpeg to create a requested output image from a local video file.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install video-frames - After installation, invoke the skill by name or use
/video-frames - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Metadata
Frequently Asked Questions
What is Video Frames?
Extract frames or short clips from videos using ffmpeg. It is an AI Agent Skill for Claude Code / OpenClaw, with 58261 downloads so far.
How do I install Video Frames?
Run "/install video-frames" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Video Frames free?
Yes, Video Frames is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Video Frames support?
Video Frames is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Video Frames?
It is built and maintained by Peter Steinberger (@steipete); the current version is v1.0.0.
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