sadjad6/data_splitter
src/skills/data_engineering/data_splitter/SKILL.md
Split data into train/test/validation sets
testing
Updated Apr 13, 2026
$ install --global
skillsauthnpx skillsauth add sadjad6/open-autonomous-research-lab data_splitterInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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3
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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%
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CrowdStrikeAdvanced threat intelligence
50%
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OSV-ScannerOpen Source Vulnerability database check
50%
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OWASP Dep-Check
50%
Last scanned: Apr 13, 2026, 3:00 AM41.2s2 files scanned
SKILL.md
- name:
- data_splitter
- description:
- Split data into train/test/validation sets
Data Splitter
Description
Split data into train/test/validation sets
When to Use
Before model training
Workflow
- Stratify if needed\n2. Split data\n3. Validate split ratios
Tools Used
sklearn
Examples
from src.skills.data_engineering.data_splitter import Skill
skill = Skill()
result = await skill.run(SkillInput(data={"key": "value"}))
Best Practices
Use stratified splits for imbalanced data
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