yt-random-comment-picker
Skill31 starsChanged 7 days agoMITView on GitHub
Downloads YouTube video comments, filters to unique authors, and randomly selects one comment to return.
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 64
Only top-level comments are considered (replies/thread comments are filtered out)
- Distinctive: line 65
If multiple comments from the same author exist, only the first one encountered is kept
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Random Comment Picker
This skill downloads comments from a YouTube video, filters them to keep only comments with unique authors (first occurrence wins), and randomly selects one comment to return with author and text.
Skill Details
- Name: yt-random-comment-picker
- Version: 1.0.0
- Description: Downloads YouTube video comments, filters to unique authors, and randomly selects one comment to return.
Usage
yt-random-comment-picker <youtube_video_url>Example
yt-random-comment-picker https://youtu.be/VIDEO_IDHow It Works
- Download comments: Uses
yt-dlpto fetch the comment section from the specified YouTube video URL - Extract top-level comments: Filters to keep only top-level comments (not replies/thread comments)
- Filter unique authors: Keeps only the first comment from each unique author (subsequent duplicates are removed)
- Random selection: Uses Python's
random.choice()to select one comment from the filtered list - Output: Displays the selected comment with author and text, plus JSON output for programmatic use
Requirements
yt-dlpmust be installed and available in PATH- Python 3.6+
- Internet access to fetch YouTube comments
Output Format
Human-readable:
Author: @username
Comment: <comment text>JSON (printed at end):
{
"author": "@username",
"text": "<comment text>",
"likes": 5
}Notes
- The skill may take 30-60 seconds to download and process comments depending on the video's comment count
- Only top-level comments are considered (replies/thread comments are filtered out)
- If multiple comments from the same author exist, only the first one encountered is kept
- The selection is truly random - each unique-author comment has equal probability of being selected
- Works with any YouTube video URL that has comments available
In this repository9 other files it gives its agents.
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