comment-analysis

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Analyze video comment sections to discover recommended content and gauge content quality.

whiteguo233 By whiteguo233 schedule Updated 3/7/2026
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name: comment_analysis description: Analyze video comment sections to discover recommended content and gauge content quality.

Comment Analysis Skill

Mine video comment sections for content recommendations and quality signals.

When to Use

  • As part of the content discovery cycle
  • To evaluate the quality and reception of discovered content
  • To find user-recommended content and UP主 from comments

How It Works

  1. Fetches comments from a video via API or agent-browser
  2. Uses LLM to identify:
    • Other video/UP主 recommendations mentioned in comments
    • Overall content quality sentiment
    • Common viewer reactions and highlights
  3. Returns structured analysis

Parameters

  • bvid (str): Video BV ID to analyze comments for
  • max_comments (int, optional): Maximum comments to analyze (default: 100)

Output

  • Recommended content/UP主 found in comments
  • Quality sentiment score
  • Key highlights and reactions
Install via CLI
npx skills add https://github.com/whiteguo233/OpenBiliClaw --skill comment-analysis
Repository Details
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