YouTube Content Analyzer
v1.0.0Phân tích nội dung video YouTube từ file SRT/VTT/TXT hoặc URL trực tiếp. Tóm tắt nội dung, extract key points, phân tích chủ đề chính, tạo báo cáo. Dùng khi...
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byMCB AI@mcbaivn
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
medium confidencePurpose & Capability
The name/description (analyze YouTube content from SRT/VTT/TXT or URL) matches the included script and prompts. One mismatch: the runtime uses yt-dlp to fetch subtitles but the skill metadata/requirements do not declare any required binary; the script also expects Python 3. This is a missing dependency declaration rather than purposeful misdirection.
Instruction Scope
SKILL.md and scripts limit actions to reading subtitle files, chunking text, writing analysis reports to a local 'Youtube_Analysis' directory, and invoking yt-dlp to download subtitles for a given YouTube URL. The instructions do not read unrelated system files or access environment variables or external endpoints other than those used by yt-dlp to fetch subtitles. The agent-run subprocess call is expected for this purpose.
Install Mechanism
No packaged install; install instructions fetch SKILL.md and the script directly from raw.githubusercontent.com or clone a GitHub repo. Downloading from GitHub raw is common and acceptable, but it writes files to disk and you should verify the source repository and commit before running. There is no opaque third-party binary download in the spec.
Credentials
The skill requests no environment variables or credentials, and the code does not read secrets. The only external requirement is an undocumented tool (yt-dlp) for fetching subtitles — this is proportionate to the stated functionality but should be declared.
Persistence & Privilege
always is false and the skill does not attempt to modify other skills or global agent configuration. It writes analysis output to a local directory only.
Assessment
This skill appears to do what it says: parse subtitle files (or fetch them with yt-dlp) and produce local analysis reports. Before installing: 1) Verify the GitHub repository and file contents (ensure the raw URLs point to the expected repo/commit). 2) Install/confirm Python 3 and yt-dlp on your system — the script invokes yt-dlp but the SKILL metadata doesn't declare it. 3) Be aware that yt-dlp will perform network requests to YouTube to download subtitles (expected behavior). 4) Run the script in a controlled directory first to confirm outputs and that no unexpected network or file activity occurs. If you need stricter assurance, request the repository URL/commit hash and review the code yourself or run it in an isolated environment.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.