interoperability-analyzer

Pass

Audited by Gen Agent Trust Hub on Mar 5, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill's implementation follows its stated purpose of construction data analysis. No obfuscation, malicious instructions, or hidden behaviors were found.
  • [EXTERNAL_DOWNLOADS]: The skill relies on standard, well-known Python libraries including pandas and openpyxl (used as an Excel engine). These are trusted packages within the data science ecosystem.
  • [COMMAND_EXECUTION]: The Python code consists of structured classes and methods for data mapping. It does not utilize any dangerous execution functions such as eval(), exec(), or subprocess modules.
  • [DATA_EXFILTRATION]: There is no evidence of unauthorized data transfer. The tool operates locally and only interacts with the filesystem for user-requested export functionality as declared in the skill permissions.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 5, 2026, 04:28 AM