wikipedia-notability-assessment

Assess Wikipedia subject notability against GNG and SNG guidelines.

15|6|Updated Feb 17, 2026
One-click install
npx skills add https://github.com/fuzheado/Wikipedia-AI-Skills --skill wikipedia-notability-assessment
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: wikipedia-notability-assessment
Source: https://github.com/fuzheado/Wikipedia-AI-Skills/tree/main/.claude/skills/wikipedia-notability-assessment
Command: npx skills add https://github.com/fuzheado/Wikipedia-AI-Skills --skill wikipedia-notability-assessment

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires wikimedia-api-access, notability_checker, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps assess whether a subject is notable enough for Wikipedia, guiding through the notability guidelines and automating checks to streamline the process.

Core Features & Use Cases

  • Notability Guideline Assessment: Evaluates a subject against Wikipedia's General Notability Guideline (GNG) and Subject-Specific Notability Guidelines (SNGs).
  • Source Quality Evaluation: Automatically evaluates sources for reliability, independence, and significance.
  • Structured Reports: Generates detailed, structured reports with clear recommendations for notability decisions.
  • Use Case: When researching a potential Wikipedia article subject, use this Skill to assess its notability based on the existing sources, and receive a structured report outlining the assessment and recommendations.

Quick Start

Use the skill with the following command: wikipedia-notability-assessment "Subject Name" --desc "Subject Description" --source "Source Title|Source Type|Yes|Yes|Yes" --source "Another Source Title|Another Source Type|Yes|Yes|Yes"

Frequently Asked Questions about wikipedia-notability-assessment

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

FAQPage Schema
How do I assess Wikipedia notability for a potential article subject?

You can assess Wikipedia notability by evaluating a subject against the General Notability Guideline and Subject-Specific Notability Guidelines. This framework automates checks for source quality, reliability, and independence to generate a structured report with recommendations.

What is the General Notability Guideline and how does it apply to source evaluation?

The General Notability Guideline (GNG) requires a subject to have received significant coverage in reliable, independent sources. Source evaluation involves checking these references to ensure they meet Wikipedia's standards for reliability, independence, and significance before creating an article.

How do I check if my sources meet Wikipedia's notability requirements?

You can check if sources meet Wikipedia notability requirements by evaluating their reliability, independence, and significance. The automated assessment framework analyzes source quality and generates a detailed structured report with clear recommendations for your notability decision.

Can I use this notability assessment framework for subject-specific guidelines beyond GNG?

Yes, you can use this framework for subject-specific guidelines beyond GNG. It implements automated checks for 13 Subject-Specific Notability Guidelines alongside the General Notability Guideline to provide a comprehensive evaluation tailored to your specific subject.

Do I need to provide source details to get a structured notability report?

Yes, you must provide source details including the source title, type, and indicators of reliability, independence, and significance. This input allows the framework to evaluate source quality against notability guidelines and generate a structured report with clear recommendations.

What is the best way to automate Wikipedia notability checks for multiple sources?

The best way to automate Wikipedia notability checks is to use a framework that evaluates source quality programmatically. This approach uses Python libraries for text processing and data analysis to assess sources against GNG and SNG criteria, outputting structured reports with recommendations.