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小红书视频下载器
v1.0.0Download and summarize Xiaohongshu (小红书/RedNote) videos. Produces a full resource pack with video, audio, subtitles, transcript, and AI summary. This skill s...
⭐ 0· 646·1 current·2 all-time
byHimly@smile7up
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 match the included scripts and SKILL.md: the repo contains a downloader script that wraps yt-dlp and ffmpeg and a transcription script using faster-whisper. Required tools (yt-dlp, ffmpeg, optional faster-whisper) are coherent with downloading video, extracting audio, producing subtitles/transcripts, and generating AI summaries.
Instruction Scope
SKILL.md instructs the agent to call the included Python scripts and to read/write files under ~/Downloads/<video title>/ and reference/summary-prompt.md. The instructions do not ask for other system-wide data or arbitrary network endpoints. Notable: instructions use yt-dlp's --cookies-from-browser to access browser cookies (needed to access authenticated Xiaohongshu content) and list running uv to run the transcription script — both are within scope for downloading/transcribing but are sensitive in practice.
Install Mechanism
There is no automated install spec (instruction-only), which keeps risk low. The scripts expect external dependencies (yt-dlp, ffmpeg, Python packages like faster-whisper). The README/SKILL.md suggest using 'uv' or pip to install dependencies — installing faster-whisper or using 'uv run' may pull packages from PyPI and download model weights, which can be large and arbitrary. This is expected but worth noting for resource and supply-chain considerations.
Credentials
The skill requests no environment variables, which is fine, but it relies on yt-dlp's --cookies-from-browser to extract browser cookies to authenticate with Xiaohongshu. Accessing browser cookies is sensitive (may expose session tokens) and is not explicitly declared as a credential in the metadata. While this access is necessary for the stated purpose (download authenticated content), users should understand the privacy/security implications of granting or allowing tools that read browser cookie stores.
Persistence & Privilege
always:false and user-invocable:true. The skill does not request persistent elevated privileges or modify other skills or system-wide configurations. README suggests copying to a local skills directory, but no automated persistent installation is present in the package itself.
Assessment
This skill appears to do what it says: download Xiaohongshu videos and produce transcripts and a Claude-based summary. Before installing or running it, consider the following:
- Browser cookies: yt-dlp's --cookies-from-browser will access your browser's cookie store to authenticate. Only use this if you understand/consent to that access and avoid running on a machine with other sensitive logged-in sessions you don't want accessed.
- Dependencies & resource use: faster-whisper and model weights are large and may be installed from PyPI. Run in a dedicated Python virtualenv, and be prepared for substantial CPU/RAM/disk usage for transcription.
- Run untrusted code safely: inspect the two scripts (they are included and readable) before running. If unsure, run them in an isolated environment (container or throwaway VM) and do not run as root.
- Legal/terms: ensure you have the right to download the content and that you comply with Xiaohongshu's terms of service and copyright law.
- Inputs: avoid pasting untrusted or malicious URLs; the scripts pass URL arguments directly to yt-dlp but use list-style subprocess calls (not shell), which reduces but does not eliminate risk.
If you want greater assurance, ask the publisher for provenance (homepage, author contact) or run the scripts in a sandboxed environment and verify yt-dlp behavior on a test public URL first.Like a lobster shell, security has layers — review code before you run it.
latestvk97bfq8j8q6th9mcmhdrb8dach81j5mb
License
MIT-0
Free to use, modify, and redistribute. No attribution required.
