YouTube Summary - Auto Video Summarizer
v1.0.0Automatically fetch YouTube video subtitles and generate concise summaries. Use when you need to summarize a YouTube video, get key points from a talk, or ex...
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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 align with the code and SKILL.md: scripts/youtube_subtitles.py fetches transcripts via youtube-transcript-api and summarize.py prepares text for summarization. No unrelated binaries, credentials, or config paths are requested.
Instruction Scope
SKILL.md and the scripts stay within summarization scope (fetch subtitles, clean, chunk, format). Note: the workflow requires sending subtitle text to an AI model for summarization — users should be aware that the transcript text will be transmitted to whatever model/service the agent uses.
Install Mechanism
No formal install spec; there is a requirements.txt declaring youtube-transcript-api and SKILL.md suggests pip install. This is a low-risk, standard Python dependency but the skill will attempt to import and use that package at runtime.
Credentials
No environment variables, credentials, or config paths are required. The skill does not request unrelated secrets or cross-service keys.
Persistence & Privilege
always:false and user-invocable; the skill does not request persistent or elevated platform privileges and does not modify other skills or system settings.
Assessment
This skill appears to do what it says: fetch public YouTube captions and prepare them for AI summarization. Before installing, consider: (1) it needs network access to fetch captions (and will call the model service to summarize), so private or sensitive video content will be sent to those services; (2) the dependency is a standard Python package (youtube-transcript-api) — review and install it in a controlled/isolated Python environment; (3) the repository has no homepage and an unknown owner — if you require provenance, ask the publisher for a homepage or audit the code yourself; (4) if you have strict privacy/compliance needs, avoid sending transcripts to third-party models or run summarization in an environment you control.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.