recommendation-system

Pass

Audited by Gen Agent Trust Hub on Apr 4, 2026

Risk Level: SAFE
Full Analysis
  • [COMMAND_EXECUTION]: The skill provides standard setup and deployment commands in SKILL.md, including package installation via pip, container management via docker, and application execution via uvicorn. These are routine developer operations necessary for building the described recommendation system.
  • [DYNAMIC_EXECUTION]: In references/production-architecture.md, the implementation uses joblib.load() to deserialize pre-trained models from local file paths. While deserialization requires care, the skill uses static paths for internal model serving, which is a standard pattern in machine learning workflows.
  • [SAFE]: Data integrity and security are prioritized throughout the skill. Database interactions in references/production-architecture.md and references/ab-testing-framework.md utilize parameterized queries (e.g., using %s for PostgreSQL or ? for SQLite) to mitigate SQL injection risks. Furthermore, sensitive data such as database credentials and Slack webhooks are retrieved from environment variables rather than being hardcoded.
Audit Metadata
Risk Level
SAFE
Analyzed
Apr 4, 2026, 07:41 AM