This skill provides automated quality control for numeric data. It reads structured files and verifies if specific columns contain values within a defined range, marking data that falls outside these boundaries.
Use this skill when performing data quality audits, cleaning large datasets, or ensuring sensor/metric data remains within expected physical or logical limits (e.g., checking if a height value is between 0 and 300cm).
QC3_NumericDataThresholdCheck.py for core validation logic and data_io.py for multi-format file handling.Designed for agents capable of executing Python scripts in a local or remote environment (e.g., Codex, OpenClaw, or general CLI-capable agents).
This skill has not been reviewed by our automated audit pipeline yet.