wiki-graph-health

Monitor and remediate knowledge base graph health with Python scripts.

7|Updated Mar 26, 2026
One-click install
npx skills add https://github.com/kzinmr/ai-topics --skill wiki-graph-health
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: wiki-graph-health
Source: https://github.com/kzinmr/ai-topics/tree/main/config/hermes/skills/_overrides/wiki-graph-health
Command: npx skills add https://github.com/kzinmr/ai-topics --skill wiki-graph-health

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires os, re, json, yaml, subprocess, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill unit comprehensively checks, maintains, and remediates the health of a knowledge base, identifying and correcting issues like duplicate entities, broken links, and missing data.

Core Features & Use Cases

  • Graph Health Detection: Identifies and fixes issues such as duplicate entities, missing links, and corrupted data structures.
  • Maintenance Operations: Executes various maintenance tasks like entity deduplication, link auditing, and tag normalization.
  • Pre-commit Enforcement: Ensures compliance with predefined standards before committing changes to the knowledge base.

Quick Start

To check the health of the wiki graph, execute the 'wiki-graph-health' skill.

Frequently Asked Questions about wiki-graph-health

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I audit and fix broken links in a knowledge base graph?

Link auditing in a knowledge base graph identifies broken connections and validates data structures. This skill executes maintenance scripts to detect missing links and automatically remediate corrupted paths.

What is the best way to deduplicate entities in a wiki knowledge base?

Entity deduplication resolves redundant nodes in a wiki knowledge base by processing and validating the data structure. This skill monitors graph health and normalizes tags to ensure data integrity.

Do I need Python to run knowledge base maintenance and graph health checks?

Yes, Python is required to execute knowledge base maintenance and graph health checks. The skill utilizes Python scripts and subprocess execution to process data, validate structures, and enforce compliance.

Can I enforce knowledge base quality assurance checks before committing changes?

Pre-commit enforcement ensures compliance with predefined standards before committing changes to the knowledge base. The skill checks for duplicate entities, missing links, and corrupted data structures prior to commit.

How does tag normalization work for maintaining wiki graph data integrity?

Tag normalization standardizes metadata labels across the wiki graph to maintain data integrity. The skill processes data structures using scripts to audit links, deduplicate entities, and normalize tags.

What issues cause corrupted data structures in a wiki knowledge base?

Corrupted data structures in a wiki knowledge base are caused by duplicate entities, broken links, and missing data. This skill comprehensively checks graph health, identifies these issues, and executes remediation operations.