sadjad6/data_sampler
src/skills/data_engineering/data_sampler/SKILL.md
Create representative data samples
data-ai
Updated Apr 13, 2026
$ install --global
skillsauthnpx skillsauth add sadjad6/open-autonomous-research-lab data_samplerInstall 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 13, 2026, 3:00 AM51.2s2 files scanned
SKILL.md
- name:
- data_sampler
- description:
- Create representative data samples
Data Sampler
Description
Create representative data samples
When to Use
When working with very large datasets
Workflow
- Choose strategy\n2. Sample data\n3. Validate distribution
Tools Used
pandas
Examples
from src.skills.data_engineering.data_sampler import Skill
skill = Skill()
result = await skill.run(SkillInput(data={"key": "value"}))
Best Practices
Maintain class distribution in samples
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