adaptyv

Pass

Audited by Gen Agent Trust Hub on Apr 29, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: No malicious patterns or security vulnerabilities were detected. The skill is designed for legitimate scientific research and interaction with a protein testing platform.
  • [EXTERNAL_DOWNLOADS]: The skill references standard, well-known scientific Python packages including requests, pandas, biopython, torch, fair-esm, and soluble-mpnn. It also interacts with reputable external bioinformatics services, such as the Technical University of Denmark (DTU) HealthTech services, which are standard in the field.
  • [CREDENTIALS_UNSAFE]: The skill correctly manages authentication by instructing the user to store API keys in environment variables or .env files. This is consistent with security best practices for avoiding credential exposure in code or version control. No hardcoded credentials or dangerous secrets were found.
  • [COMMAND_EXECUTION]: Code examples demonstrate routine data processing tasks, such as making HTTP requests to the platform's API and performing local file operations for result storage. All command patterns are purposeful and restricted to the stated domain of protein analysis.
Audit Metadata
Risk Level
SAFE
Analyzed
Apr 29, 2026, 02:23 AM