yang0/skill_youtube_topn_subtitle/youtube-domain-topn-videos

Trust tier 3
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

Collect top-N YouTube hot videos for any domain from the last 24 hours with Patchright, then output title, intro snippet, metrics, and link. Use when asked for a ranked trend digest in a specific field such as AI, finance, robotics, gaming, cybersecurity, or any other topic.

Install

npx vskill@latest install yang0/skill_youtube_topn_subtitle/youtube-domain-topn-videos

SKILL.md

YouTube Domain TopN Videos

Overview

Use Patchright to crawl YouTube search results filtered to "Today", generate multi-query candidates from a chosen domain, rank by a recency-adjusted hot score, and export top-N items.

Run Workflow

  1. Install runtime dependencies.
  2. Update search queries when needed.
  3. Run the scraper.
  4. Read JSON/Markdown outputs and continue reporting.

Install

bash
pip install patchright
python -m patchright install chromium

Configure Queries

Default query templates are in references/query_templates.txt.

  • Use {domain} placeholder in each line.
  • Example line: {domain} tutorial
  • You can override with --queries-file to pass explicit queries.

Execute

bash
python scripts/fetch_topn_domain_videos.py --domain "robotics" --top 10 --hours 24 --cookies-file H:/cookies/youtube.txt

Useful options:

  • --domain <text>: Required domain/topic, for example cybersecurity or 跨境电商.
  • --queries-file <path>: Use explicit query lines directly.
  • --query-templates-file <path>: Use {domain} templates.
  • --cookies-file <path>: Load YouTube cookies (Netscape or JSON).
  • --max-results-per-query <n>: Increase candidate pool before ranking.
  • --gl <country> and --hl <lang>: Control YouTube geo/language.
  • --headed: Run non-headless for debugging.
  • --output-json <path> and --output-md <path>: Change output files.

Default output layout:

  • Project root directory: outputs/YYYY/MM/DD/
  • Filename pattern: YYYYMMDD_top{N}_{domain}_{hours}h.json and .md

Output Contract

Each ranked record includes:

  • title: Video title.
  • intro: Description snippet from search card.
  • data: Channel, views, publish text, age-hours estimate, duration, hot score, domain, matched queries.
  • link: Canonical YouTube watch link.

Troubleshooting

  • If results are empty, increase --scroll-rounds and --max-results-per-query.
  • If region bias is wrong, set --gl explicitly (for example US, JP, TW).
  • If YouTube UI changes, update DOM selectors in scripts/fetch_topn_domain_videos.py.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

See the full security report

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

See evaluation results

Source

Popularity

7-day trend score
0

Not refreshed yet.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/yang0/skill_youtube_topn_subtitle/youtube-domain-topn-videos/badge)](https://verified-skill.com/skills/yang0/skill_youtube_topn_subtitle/youtube-domain-topn-videos)

Something wrong with this skill or its page? Tell us.