python-dependency-injection
Pass
Audited by Gen Agent Trust Hub on Sep 15, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill focuses on technical implementation of software design patterns (Dependency Injection and Inversion of Control) without any malicious intent.
- [SAFE]: Documentation provides security recommendations, such as version pinning to prevent dependency confusion and using secure configuration validation patterns.
- [SAFE]: All identified Python packages (dependency-injector, fastapi, flask, django, pip-audit, safety, bandit) are well-known, legitimate tools for Python development and security auditing.
- [SAFE]: Code examples demonstrate standard practices for handling environment variables and secrets (e.g., loading from environment variables or .env files) which is a recognized safe practice for local development and deployment configuration.
- [SAFE]: The reference files provide high-quality integration guidance for popular frameworks, ensuring the agent provides correct and standard architectural advice to the user.
Audit Metadata