quality_flag_field_check
OfficialEnsure quality flag field compliance with automated checks.
Authorcas-bigdatalab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
The quality_flag_field_check Skill solves the issue of ensuring that quality flag fields in datasets are properly configured, with values that adhere to specified standards, and are not empty.
Core Features & Use Cases
- Field Existence Check: Verifies the presence of the quality flag field in a dataset.
- Value Compliance: Validates that the field values meet predefined standards.
- Non-empty Integrity: Ensures that the field is not empty.
- Problem Marking: Flags non-compliant records for further review.
Quick Start
Run the quality_flag_field_check skill on your data with the following command:
python scripts/quality_flag_field_check.py \
--input_path <path_to_input_file> \
--output_path <path_to_output_file> \
--flag_field_name "qc_flag" \
--valid_values "PASS,FAIL,WARN" \
--qc_mark "QC0009"
Dependency Matrix
Required Modules
pandas
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: quality_flag_field_check Download link: https://github.com/cas-bigdatalab/piflow/archive/main.zip#quality-flag-field-check Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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