Enforces data integrity and R-script coding standards through strict, diff-aware guardrail checks.
The fof-preflight skill provides a robust, fail-closed validation layer for developers and researchers working on the Fear-of-Falling project. By monitoring Git diffs in real-time, it prevents accidental modifications to protected raw data directories and ensures that Kxx-series R scripts adhere to strict structural requirements, such as standardized metadata headers and variable definitions. It acts as an automated quality control gate, referencing project policies to block non-compliant outputs and ambiguous script configurations, thereby maintaining high data discipline and preventing common implementation errors before they reach the repository.
주요 기능
01Diff-aware monitoring to block unauthorized edits to raw data files
02Automated validation of Kxx R script headers and variable blocks
03Fail-closed architecture that halts execution on any verification ambiguity
04Strict output discipline enforcement for project-compliant directory structures
050 GitHub stars
06Seamless integration with CLAUDE.md and QC_CHECKLIST.md policy sources
사용 사례
01Standardizing R script metadata and variable requirements across a research team
02Preventing accidental overwrites of critical raw data during analysis
03Ensuring project-specific output conventions are followed before committing code
