openclaw/youtube-shorts-research
abdullahsarumi16-stack/youtube-shorts-niche-research/SKILL.md
Find viral YouTube Shorts channels that started recently and are doing really well. Use when Abdullah asks to find shorts niches, find channels, research YouTube Shorts, or find me channels. Runs the youtube-research.js script with criteria (≤60 days old, ≥15M total views) and returns qualifying channels with links. Uses a subagent (2.5-flash-lite) to process results.
$ install --global
skillsauthnpx skillsauth add openclaw/skills youtube-shorts-researchInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 3, 2026, 7:57 AM4.5s1 file scanned
SKILL.md
YouTube Shorts Channel Research Skill
Find viral new YouTube Shorts channels that meet strict criteria.
Criteria (hardcoded in script)
- Channel age: ≤ 60 days old
- Total views: ≥ 15,000,000
- Average views per video: ≥ 100,000
- Results needed: whatever Abdullah specifies — default to 3 if no number given
Script Location
C:\Users\sarum\.openclaw\workspace\youtube-research.js
How to Run
- Set
RESULTS_NEEDEDin the script to match the number Abdullah requested (default 3) - Always update this value before running
- Run the script in background:
cd C:\Users\sarum\.openclaw\workspace; node youtube-research.js - Poll until complete — the script runs until it finds all requested results, up to 10 rounds
- If it exits with fewer than requested, run again immediately (different incognito session = different feed)
- Keep running until you have the total requested.
Processing Results (Token Optimization)
- Mandatory: When the script completes, do not read the full JSON result file in the main session.
- Use
sessions_spawnwithmodel: "google/gemini-2.5-flash-lite"andruntime: "subagent". - Task the subagent to read
youtube-research-YYYY-MM-DD.json, filter for winners, and return a concise summary (handle, name, link, stats). - Use the subagent's summary to respond in the main session.
Output Format
When all requested channels are found, reply to Abdullah with:
Found your [N] channels! 🔥
1. **[Channel Name]** (@handle)
[URL]/shorts
[age]d old · [total views]M views · [avg views]K avg · [subs]K subs
2. **[Channel Name]** (@handle)
...
Rules
- Always include the full YouTube link
- Always run in incognito (already configured in script)
- Never stop until the requested number of qualifying channels are found
- Do not report partial results — wait for the batch to complete then reply
- Each run uses a fresh incognito session so channels will differ
- Save results to
youtube-research-YYYY-MM-DD.json(script does this automatically)
Weekly Schedule
Every Wednesday, run this automatically and send results to Abdullah on Telegram unprompted. Update HEARTBEAT.md to track last run date.
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