Which scripts are validated by this skill?

It specifically targets Kxx-series R scripts within the Fear-of-Falling project directories, ensuring they contain the required header and variable blocks.

Can I use this for projects other than Fear-of-Falling?

While the logic is optimized for the FOF project structure, its principles of diff-aware guardrails can serve as a template for other strict data science workflows.

Does this skill modify my data files?

No, the skill is designed to be read-only regarding your data; it only monitors for changes and flags violations without altering the files themselves.

What does 'fail-closed' mean in this context?

Fail-closed means that if the preflight script cannot verify a safety rule or encounters an ambiguous configuration, it will automatically exit with an error to prevent potentially unsafe actions.

How does it handle output directories?

It flags any usage of 'outputs/' that does not follow the specific project pattern of being nested under the corresponding script's subdirectory.

Fear-of-Falling Preflight Guardrails

Name: Fear-of-Falling Preflight Guardrails
Author: Tupatuko2023

byTupatuko2023

Security & Testing

Enforces data integrity and R-script coding standards through strict, diff-aware guardrail checks.

About

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.

Key Features

Diff-aware monitoring to block unauthorized edits to raw data files
Automated validation of Kxx R script headers and variable blocks
Fail-closed architecture that halts execution on any verification ambiguity
Strict output discipline enforcement for project-compliant directory structures
0 GitHub stars
Seamless integration with CLAUDE.md and QC_CHECKLIST.md policy sources

Use Cases

Standardizing R script metadata and variable requirements across a research team
Preventing accidental overwrites of critical raw data during analysis
Ensuring project-specific output conventions are followed before committing code

About

Key Features

Diff-aware monitoring to block unauthorized edits to raw data files
Automated validation of Kxx R script headers and variable blocks
Fail-closed architecture that halts execution on any verification ambiguity
Strict output discipline enforcement for project-compliant directory structures
0 GitHub stars
Seamless integration with CLAUDE.md and QC_CHECKLIST.md policy sources

Use Cases

Standardizing R script metadata and variable requirements across a research team
Preventing accidental overwrites of critical raw data during analysis
Ensuring project-specific output conventions are followed before committing code