ai-system-design-guide

Pass

Audited by Gen Agent Trust Hub on Jun 15, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill is entirely documentation-based and does not contain any executable commands that would run automatically on the user's system without interaction.
  • [COMMAND_EXECUTION]: The guide includes common CLI commands like git clone and cat in its documentation to help users navigate and access the reference material.
  • [CREDENTIALS_UNSAFE]: Python code snippets correctly demonstrate the use of environment variables (e.g., os.environ.get("ANTHROPIC_API_KEY")) for secure credential management rather than hardcoding secrets.
  • [EXTERNAL_DOWNLOADS]: The skill references well-known and standard AI development libraries such as Anthropic, OpenAI, and Cohere, and provides a link to its own GitHub repository for users to clone the documentation.
  • [DYNAMIC_EXECUTION]: An educational code snippet in the evaluation section demonstrates using eval() to parse LLM-generated content. While using eval() is generally considered a risky practice in production code, in this context it is presented as a simplified illustrative example within a technical guide.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 15, 2026, 12:03 PM
Security Audit — agent-trust-hub — ai-system-design-guide