Agent skill · data analytics · datadrivenconstruction
input-validation
Validate construction data inputs before processing: cost estimates, schedules, BIM data, field reports. Catch errors early with domain-specific rules.
Why this skill is useful
Provides domain-specific validation rules for construction cost estimates and schedules that the AI wouldn't reliably generate on its own.
What it needs
Requires python3 installed locally. About 7k tokens when loaded. Last updated 2026-02-14. 265 stars on the source repository.
What this skill does
Input Validation for Construction Data Overview Validate incoming construction data before processing to catch errors early. Domain-specific validation rules for estimates, schedules, BIM exports, and field data. Validation Framework Core Validator Class Cost Estimate Validation Schedule Validation BIM Data Validation Field Data Validation Usage Examples Integration with DDC Pipeline Resources Data Quality Best Practices: Validate early, validate often Construction Data Standards: CSI, IFC, COBie specifications Error Handling: Always provide actionable suggestions
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills datadrivenconstruction/input-validation