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model-code-analyzer

authentic

Translate a human-approved main method and usable baseline into a minimal language-neutral implementation and experiment contract. Use after G2.5 and data readiness, before Python or MATLAB code generation.

When to use

• Define exactly what code must implement and save. Do not expand the approved experiment scope or fully plan a dormant fallback.

When not to use

• Write executable model code
• Add candidates or change model meaning
• Plan a diagnostic reference as the official baseline
• Implement a fallback before activation
• Require success logs
• Create a README when code plan provides instructions
• Expand approved experiment scope
• Fully plan a dormant fallback

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