sadjad6/model_drift_detector
src/skills/evaluation/model_drift_detector/SKILL.md
Detect data or concept drift
data-ai
Updated Apr 13, 2026
$ install --global
skillsauthnpx skillsauth add sadjad6/open-autonomous-research-lab model_drift_detectorInstall 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, 2:52 AM17.2s2 files scanned
SKILL.md
- name:
- model_drift_detector
- description:
- Detect data or concept drift
Model Drift Detector
Description
Detect data or concept drift
When to Use
When monitoring model performance
Workflow
- Compare distributions\n2. Test drift\n3. Alert
Tools Used
scipy
Examples
from src.skills.evaluation.model_drift_detector import Skill
skill = Skill()
result = await skill.run(SkillInput(data={"key": "value"}))
Best Practices
Monitor feature-level drift
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