validate

To validate scientific writing project data consistency, run a check against your directory structure and schema files. This verifies that all necessary directories exist, creates missing ones, and ensures required components like config.yaml and progress.json are present and correctly formatted.

Discrepancies in progress.json occur when tracked project files do not match the actual file system. Validation checks compare these two states and offer an auto-repair feature to automatically fix the progress tracking discrepancies.

To check literature.md syntax and required fields, run a validation check that verifies the file format against predefined schemas. This ensures your sources and citations adhere to the required structural rules for scientific writing.

Config.yaml validation checks for required fields and valid values specific to scientific writing, including project type, citation style, and page count. This ensures your project configuration adheres to predefined schema requirements.

If chapter files like plan, text, and review documents are missing, a chapter consistency check will detect the absence. The validation process flags these missing components to ensure each chapter has its required files.