ai-python-durable-execution
Pass
Audited by Gen Agent Trust Hub on Jul 13, 2026
Risk Level: SAFE
Full Analysis
- [Data Processing Surface]: The skill demonstrates how to ingest and process model, message, and tool data through structured dictionary inputs. While this defines how the agent interacts with external data, the pattern uses structured validation to ensure data integrity.
- Ingestion points: Data enters the workflow via the
llm_stepfunction arguments inSKILL.md. - Boundary markers: Explicit boundary markers are not defined in the snippets, as the logic focuses on the serialization layer rather than the prompt layer.
- Capability inventory: The logic demonstrates model invocation and tool execution using the
ai.ToolRunnerandai.streamutilities. - Sanitization: The implementation utilizes
model_validatefor schema validation, which ensures that serialized data conforms to the expected model structures before processing. - [Workflow Persistence]: The skill provides a template for a durable agent loop, facilitating reliable task execution across potentially long-running or distributed processes.
Audit Metadata