data-quality-checker

name	Data Quality Checker
author	dqai
version	1.0.0
type	tool
category	Data Science
license	MIT
description	Validates data quality with completeness, consistency, accuracy checks and generates quality reports
tags	["tool","data-science","ai","automation"]
models	["gpt-4o","claude-3.5-sonnet","gemini-1.5-pro"]
parameters	{"temperature":{"type":"number","default":0.7,"min":0,"max":2,"description":"Controls randomness in output generation"},"max_tokens":{"type":"integer","default":4096,"min":256,"max":16384,"description":"Maximum number of tokens to generate"},"streaming":{"type":"boolean","default":false,"description":"Enable streaming output"}}
inputs	{"query":{"type":"string","required":true,"description":"Primary input for the skill"},"context":{"type":"object","required":false,"description":"Additional context for processing"}}
outputs	{"result":{"type":"string","description":"Primary output from the skill"},"metadata":{"type":"object","description":"Execution metadata including tokens used and latency"}}

Data Quality Checker

Validates data quality with completeness, consistency, accuracy checks and generates quality reports

Usage

This skill can be used standalone or as part of an Agent workflow on SkillsHub.

Standalone

skillshub run dqai/Data-Quality-Checker --input "Your query here"

In Agent

Add this skill to your Agent configuration to enable its capabilities.