Video A'Roll Auto Editor v4.7

Automates video rough editing by detecting silence, scoring segments, removing duplicates, and generating a best-segment clip and detailed report.

This appears to be a coherent local video rough-editing utility. Before running it: (1) review the bundled Python script yourself (it will execute ffmpeg and spawn the Whisper CLI); (2) be aware the Whisper package may download large language/model weights on first use (network + disk), so run where you accept that download and resource use; (3) run in an isolated environment (container or VM) until you trust behavior; (4) test on non-sensitive sample videos first; (5) note the project is GPL v3 — if you distribute derivatives you must comply with the license. Also be aware the code includes minor bugs/truncation in the provided excerpt (e.g., an incomplete return in analyze_fluency) — you may want to run linting/tests or fix small issues before relying on it in production.

Type: OpenClaw Skill Name: video-aroll-auto-editor Version: 1.0.3 The skill bundle provides a legitimate automated video editing tool for A'Roll content, utilizing FFmpeg and OpenAI Whisper for processing. The main script, `video_editor_auto_v4.6.py`, implements a complex pipeline for silence detection, transcription-based fluency analysis, and content deduplication. All external commands are executed safely via `subprocess.run` with argument lists, and the file operations are strictly aligned with the stated purpose of generating rough cuts and processing reports. No indicators of data exfiltration, malicious persistence, or prompt injection were found.