sadjad6/eda_generator
src/skills/data_science/eda_generator/SKILL.md
Generate comprehensive exploratory data analysis
data-ai
Updated Apr 13, 2026
$ install --global
skillsauthnpx skillsauth add sadjad6/open-autonomous-research-lab eda_generatorInstall 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, 2:45 AM45.0s2 files scanned
SKILL.md
- name:
- eda_generator
- description:
- Generate comprehensive exploratory data analysis
EDA Generator
Description
Generate comprehensive exploratory data analysis
When to Use
As the first analytical step
Workflow
- Compute stats\n2. Create visuals\n3. Identify patterns
Tools Used
pandas, matplotlib
Examples
from src.skills.data_science.eda_generator import Skill
skill = Skill()
result = await skill.run(SkillInput(data={"key": "value"}))
Best Practices
Focus on distributions, correlations, and outliers
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