sadjad6/model_comparator
src/skills/machine_learning/model_comparator/SKILL.md
Compare models side-by-side on metrics
data-ai
Updated Apr 13, 2026
$ install --global
skillsauthnpx skillsauth add sadjad6/open-autonomous-research-lab model_comparatorInstall 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, 3:14 AM58.1s2 files scanned
SKILL.md
- name:
- model_comparator
- description:
- Compare models side-by-side on metrics
Model Comparator
Description
Compare models side-by-side on metrics
When to Use
When choosing between model candidates
Workflow
- Collect models\n2. Evaluate each\n3. Create comparison table
Tools Used
sklearn, pandas
Examples
from src.skills.machine_learning.model_comparator import Skill
skill = Skill()
result = await skill.run(SkillInput(data={"key": "value"}))
Best Practices
Use same test set for fair comparison
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