mllm-eval

Pass

Audited by Gen Agent Trust Hub on Jul 14, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill operates as an advisory tool for clinical evaluation design. Technical review of scripts/check_mllm_eval_completeness.py shows it is a task-aware linter using standard library regex for presence checking, with no external dependencies or remote execution paths.\n- [SAFE]: No network exfiltration, remote code execution, or credential management issues were detected. Auditing logic is performed locally on user-provided protocol drafts without dangerous interpolation of untrusted content.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 14, 2026, 02:10 AM
Security Audit — agent-trust-hub — mllm-eval