youtube-comment-miner

从指定话题的YouTube视频评论中挖掘用户痛点、功能建议与需求，助力竞品分析和市场调研。

This skill is plausibly what it says: it scrapes YouTube (via yt-dlp) and analyzes saved comment JSON files. Before installing/running: 1) Inspect and run the scripts in an isolated environment (VM/container) because they perform web scraping and write files to disk. 2) Ensure you have the required system tools (yt-dlp, jq, Python 3.8+) and a JS runtime if yt-dlp needs it—these are referenced in SKILL.md but not declared in metadata. 3) Check requirements.txt and remove unused packages (python-dotenv) if you don't need .env support. 4) Note potential ToS/legal issues: automated scraping of YouTube may violate YouTube's Terms of Service—confirm this is acceptable for your use. 5) Because the package owner/source is unknown and there are small inconsistencies in filenames/examples, prefer running it in a disposable environment and review the scripts for any modifications before use.

Type: OpenClaw Skill Name: youtube-comment-miner Version: 1.0.0 The skill bundle is a legitimate tool designed to scrape and analyze YouTube comments for market research and user feedback. It uses the well-known 'yt-dlp' utility to fetch data and provides Python scripts (scripts/analyze.py) to categorize comments based on keywords like 'security', 'cost', and 'performance'. No evidence of data exfiltration, unauthorized execution, or malicious prompt injection was found; the code logic is transparent and aligns with the stated purpose of mining product pain points.