Clips Machine
v1.2.1Transform long videos into viral short-form clips. Auto-detect best moments, add trendy captions, export for TikTok/Reels/Shorts. Self-contained, no external modules. 100% free tools.
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description (video -> short clips) match the actual behavior: it invokes yt-dlp, ffmpeg, and whisper-cpp to download, transcribe, cut, crop, caption and export clips. The declared required binaries are appropriate and necessary for the stated functionality.
Instruction Scope
SKILL.md and the script restrict actions to downloading permitted domains, local transcription, clip detection, cutting, captioning, and exporting into a local output folder. No instructions ask the agent to read unrelated system files, secrets, or to send data to unknown endpoints.
Install Mechanism
There is no install spec (instruction-only install), and the script itself uses only standard subprocess calls to system binaries. The user must install ffmpeg, yt-dlp and whisper-cpp manually as documented; no risky third-party download/execute steps are embedded.
Credentials
The skill declares no required environment variables or credentials. The code optionally reads OUTPUT_DIR (to set an output path) and resolves local whisper model paths; no secrets or unrelated credentials are requested.
Persistence & Privilege
always is false and the skill does not request persistent system-wide changes or modify other skills' configurations. It runs as a standalone script and writes outputs only to a user-writable directory.
Assessment
This skill appears coherent with its stated purpose, but before installing/run it: (1) ensure ffmpeg, yt-dlp and whisper-cpp are obtained from trusted sources and installed in a secure environment; (2) confirm you have rights to download/process any remote video you give it; (3) review or run the script in a sandbox/VM if you're concerned about executing third-party code; (4) note it writes outputs to ~/Videos/OpenClaw (or OUTPUT_DIR if set) and will download remote media—monitor disk/network usage. If you want higher assurance, review the full clips_machine.py file (the visible portions are standard) or run it on a non-sensitive machine first.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.
Runtime requirements
Binsffmpeg, yt-dlp, whisper-cpp
