ml-research-engineer-safeguards

Pass

Audited by Gen Agent Trust Hub on Jun 17, 2026

Risk Level: SAFENO_CODE
Full Analysis
  • [SAFE]: The skill provides comprehensive guidelines for AI safety research, including harm taxonomies, evaluation metrics, and dataset curation. It focuses on research methodology and provides best practices for handling sensitive data such as PII and production samples.
  • [NO_CODE]: The skill consists exclusively of markdown documentation and reference guides. It does not include any scripts, executable code, tool configurations, or automated workflows that could pose a security risk.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 17, 2026, 06:10 AM
Security Audit — agent-trust-hub — ml-research-engineer-safeguards