Video Creator
v1.0.0Creates videos from scratch using ffmpeg, programming, and assets. Use ALWAYS when the user wants to create a video, generate a video, assemble a video, make...
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byEmerson Braun@emersonbraun
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The name/description and SKILL.md consistently describe programmatic video creation with ffmpeg, Python (moviepy/Pillow), and related tools. One small inconsistency: the skill references several external binaries (ffmpeg, ffprobe, moviepy, ImageMagick, yt-dlp, whisper) but the registry metadata lists no required binaries — the skill will only work if those tools are present on the host.
Instruction Scope
The SKILL.md stays within video-creation scope: it provides ffmpeg commands, Python examples, and a workflow (collect assets, generate, run scripts, export). It does instruct the agent to run scripts and read/writes local files (fonts, images, audio) which is expected for this purpose. Be aware it references yt-dlp (downloading third-party content) and transcription tools (whisper/faster-whisper) which may trigger network access, large model downloads, or copyright concerns.
Install Mechanism
This is an instruction-only skill with no install spec and no bundled code — lowest-risk install surface. It does not attempt to download or install packages itself.
Credentials
The skill declares no environment variables or credentials, which is proportionate. It does assume availability of media tooling on PATH but does not request access to unrelated secrets or external service tokens.
Persistence & Privilege
The registry flags show no forced persistence (always: false) and no unusual privileges. The skill will run when invoked; autonomous invocation is allowed by default on the platform but is not combined here with broad credential access or other red flags.
Assessment
This skill appears internally consistent for programmatic video creation, but before using it verify the host environment: ensure ffmpeg/ffprobe and any Python libs (moviepy, Pillow) are installed and up-to-date, confirm you have sufficient disk/CPU resources, and inspect generated commands before execution. Note optional tools mentioned (yt-dlp, whisper/faster-whisper) can download external content or large models and may have copyright or network implications — run in a sandbox if you are unsure. Finally, confirm font and asset file paths are safe and avoid supplying sensitive files to the skill.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.