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-apiclient. This is a well-known and trusted scientific resource. - [SAFE]: Security-sensitive information like the
MP_API_KEYis 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, andget_pourbaix_structures.py) use safe parsing methods such asyaml.safe_load()andjson.load(). - [SAFE]: No evidence of command injection, dynamic code execution (eval/exec), or persistence mechanisms was detected in the scripts or instructions.
Audit Metadata