mat-pourbaix-diagram

Pass

Audited by Gen Agent Trust Hub on Jun 19, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill implements a standard materials science workflow for generating Pourbaix diagrams using Machine Learning Interatomic Potentials (MLIPs) and Materials Project data.
  • [SAFE]: Network operations are restricted to querying the Materials Project API via the official mp-api client. This is a well-known and trusted scientific resource.
  • [SAFE]: Security-sensitive information like the MP_API_KEY is retrieved from environment variables as per standard practice; no hardcoded credentials or exfiltration attempts were found.
  • [SAFE]: The Python scripts (calculate_pourbaix.py, calculate_pourbaix_mp.py, and get_pourbaix_structures.py) use safe parsing methods such as yaml.safe_load() and json.load().
  • [SAFE]: No evidence of command injection, dynamic code execution (eval/exec), or persistence mechanisms was detected in the scripts or instructions.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 19, 2026, 04:48 PM