review-meta

Automate code review for Julia optimization Meta files by running a dynamic analysis command that audits src/Meta/*.jl files against test suites and module-loading logic. The skill reports findings as Errors, Warnings, and Info.

Dynamic analysis for Meta file consistency checks in NLPModels executes Julia code to validate metadata against actual problem implementations. It identifies test-suite failures as Errors and documentation gaps as Warnings.

Yes, you need Julia, NLPModels, NLPModelsJuMP, and ADNLPModels installed to review Meta files. These dependencies are required to execute the dynamic analysis that validates metadata against problem implementations.

Check src/Meta files for correctness and completeness in scientific computing workflows by executing the review command with a problem name, like `/review-meta hs1`. The skill audits the file against tests and guidelines.

Your Meta file review reports warnings for documentation gaps because the dynamic analysis detects notable metadata inconsistencies. These Warnings indicate missing or incomplete documentation that does not trigger test-suite Errors.

You cannot rely solely on static analysis to validate NLPModelsJuMP metadata because this skill requires dynamic analysis. It executes Julia code to accurately validate metadata against the actual problem implementations.