python-code-reviewer

To verify Python modeling code against a validated method plan, review routed scripts to ensure runability, validate alignment with the approved plan, and confirm traceable artifacts are propagated to workspace directories.

You can apply minimal fixes to Python scripts during review to ensure executability, but you must not change the modeling route or silently alter the underlying assumptions of the validated method plan.

Validating reproducible outputs involves checking that routed Python scripts are executable and confirming that expected traceable results and figures are correctly saved under workspace/results and workspace/figures.

Yes, a validated method plan is required to review Python modeling scripts, serving as the baseline to verify code alignment, validate traceable artifacts, and ensure runnable scripts without altering the modeling route.

You need a Python code review for modeling artifacts after code-generation and routing, ensuring scripts are executable and outputs are reproducible before proceeding to robustness checks or manuscript preparation.

The review requires specific workspace directories to locate routed Python scripts under workspace/code/python and to validate that traceable artifacts are properly saved in workspace/results and workspace/figures.