kg-quality-check
CommunityQuantify KG quality with LLM-guided checks.
AuthorYH-05
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill measures and reports the data quality of a knowledge graph (KG) by running seven quantitative probes on a Neo4j KG (v2.2) and applying an LLM-based judge to evaluate claim/fact accuracy, discovery potential, and graph integrity. It outputs a Markdown report with scores, issues, and concrete improvement suggestions.
Core Features & Use Cases
- Quantitative quality metrics: seven categories computed via Cypher probes against the KG schema.
- LLM-as-Judge: assess precision of claims/facts, hypothesize discoveries, and generate a structured critique.
- Automated reporting: produce a markdown quality report suitable for review after data ingestion or periodic monitoring.
Quick Start
Run the kg-quality-check workflow to generate a comprehensive quality report for the current KG.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: kg-quality-check Download link: https://github.com/YH-05/quants/archive/main.zip#kg-quality-check Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.