mle-workflow

Pass

Audited by Gen Agent Trust Hub on Jun 20, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill contains purely instructional content and best-practice workflows for Machine Learning Engineering (MLE).
  • [SAFE]: Code snippets provided for configuration hashing and metric promotion gates use standard libraries (hashlib, dataclasses) and perform benign logic checks.
  • [SAFE]: The skill explicitly includes security-focused checks in its workflow, such as PII scanning, secret detection in logs, and verification of unsafe deserialization in model artifacts.
  • [SAFE]: No malicious network operations, data exfiltration patterns, obfuscation, or persistence mechanisms were detected in the instructions or code examples.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 20, 2026, 12:57 AM
Security Audit — agent-trust-hub — mle-workflow