ai-python-custom-loop

Pass

Audited by Gen Agent Trust Hub on Jul 12, 2026

Risk Level: SAFE
Full Analysis
  • Standard Control Flow Implementation: The skill outlines a standard pattern for an AI agent's turn-based loop. It focuses on managing event streams and tool execution using asynchronous Python patterns, which is a common requirement for complex agent behaviors.
  • Integration of Security Checkpoints: The instructions specifically direct developers to use context.resolve() for processing tool calls. This function is documented within the skill as the mechanism for handling validation and approval gates, which are key security practices for preventing unauthorized tool execution.
  • Best Practice Guidance for Tool Execution: The skill encourages using a managed ToolRunner rather than direct function calls. This pattern ensures that all tool executions pass through the agent framework's safety and logging layers before being performed.
  • Consistent State Management: The logic provided ensures that message history and tool results are correctly added to the context, helping maintain a consistent and predictable agent state during operation.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 12, 2026, 09:59 PM
Security Audit — agent-trust-hub — ai-python-custom-loop