comment_analysis
Analyze video comment sections to discover recommended content and gauge content quality.
Skill by whiteguo233
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/whiteguo233-comment-analysis
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: writing, social-media, data-analysis
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/comment-analysis
What's inside
- Skill name
comment_analysis- Description
- Analyze video comment sections to discover recommended content and gauge content quality.
- License
- MIT
- Instructions
- 31 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- name: only lowercase letters, digits and single hyphens allowed
Files (1)
- SKILL.md
SKILL.md (first lines)
# 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
From whiteguo233/OpenBiliClaw, MIT.
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CLAUDE.md · whiteguo233/OpenBiliClaw
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CLAUDE.md from whiteguo233/OpenBiliClaw: 247 lines covering Project Overview, Build & Development Commands, Architecture, Configuration and more.
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Signals
- Stars
- 3,567
- Forks
- 195
- Open issues
- 19
- Last commit (this folder)
- Mar 7, 2026 (7 months ago)
- Last release
- Oct 22, 2026 (6 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/whiteguo233/OpenBiliClaw
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
comment_analysis skill. Agent Mart. https://agentmart.dev/skills/whiteguo233-comment-analysis (last updated 2026-10-24)