This skill helps users extract structured video list data and comment data from YouTube using the BrowserAct API. The Agent should proactively apply this skill when users request searching for YouTube videos and their comments, analyzing viewer sentiment for a specific video topic, gathering audience feedback on AI or automation, extracting a list of top videos and their viewer reactions, compiling YouTube video data along with user opinions, retrieving competitor video titles and related audien
SkillScore59Maintained
Automatic
◆Data Engineer pack
Last verified 8/9/2026
What it changes
Passed 9 of 15 test cases with the skill, and 4 of 15 without it.
Without skill27%
With skill59%
Checks it passed that the model alone missed
Lists video_url as a returned field
Refuses to attempt a third execution
Lists video_view_count as a returned field
and 7 more in the full report
8 fixed5 passed either way8 still failing1 broke
Pass-rate lift
+32 pp
Tokens
+32%
Agent turns
0%
Response time
-67%
Model gemini-3.6-flashMeasured 8/9/2026v113 of 22 cases passed with skill · 15 comparable
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 8
Prompt
Which fields are extracted for individual comment items gathered by the automation script?
What was checked, without and with the skill
Checked
Without skill
With skill
Lists commenter_name as a comment output field
Missed
Passed
Lists comment_likes as a comment output field
Missed
Passed
case-15 · gemini-3.6-flash · 8/9/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md91 lines2 filesincludes scripts
YouTube Comments API Automation Skill
📖 Introduction
This skill provides a one-stop extraction service for YouTube video and comment data through the BrowserAct YouTube Comments API template. It can extract structured video results along with their respective comments directly from YouTube. By simply providing search keywords, comment limits, and scroll counts, you can acquire clean and ready-to-use video and comment datasets directly.
✨ Features
Zero Hallucination, Ensuring Stable and Accurate Data Extraction: Pre-configured workflows avoid AI generative hallucinations.
No CAPTCHA Issues: No need to handle reCAPTCHA or other verification challenges.
No IP Access Restrictions or Geo-fencing: No need to deal with regional IP limits.
More Agile Execution Speed: Faster task execution compared to pure AI-driven browser automation solutions.
Extremely High Cost-Efficiency: Significantly reduces data acquisition costs compared to AI solutions that consume a large number of tokens.
🔑 API Key Guidance Process
Before running, you must first check the BROWSERACT_API_KEY environment variable. If it is not set, do not take any other actions; you should request and wait for the user to provide it.
At this point, the Agent must inform the user:
"Since you have not configured the BrowserAct API Key yet, please go to the BrowserAct Console first to get your Key."
🛠️ Input Parameters
When invoking the script, the Agent should flexibly configure the following parameters based on user needs:
keywords
Type: string
Description: Search keywords used to find videos on YouTube. Can be any keyword or phrase.
Example: AI, automation, web scraping
Default: AI
Comments_limit
Type: number
Description: Maximum number of comments to extract per video.
Example: 10, 20, 50
Default: 10
Scroll_count
Type: number
Description: Number of times to scroll in the comments section to load more comments before extraction.
Example: 1, 2, 5, 10
Default: 2
🚀 Invocation Method (Recommended)
The Agent should execute the following standalone script to achieve "one command, get results":
This skill helps users extract YouTube video transcripts and perform deep competitive analysis on the content. Agent should proactively apply this skill when users express needs like analyze YouTube video content strategy, perform competitive video content analysis, extract and analyze YouTube subtitles for marketing insights, understand competitor value propositions from their videos, identify target audience from YouTube video content, analyze pain points and needs mentioned in YouTube videos,