skills.rest
Lambenthan
LambenthanCOMMUNITY
Explore all skills by this author →
GitHub

check

Scan an EmpiricalWiki instance for structural, link, field, and graph consistency problems.

77|16|Updated May 9, 2026
Search Tags:#knowledge graph#metadata validation#cross-reference checks#empirical research#wikilint#JSONL edge validation
One-click install
npx skills add https://github.com/Lambenthan/empiricalwiki --skill check-lambenthan
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: check
Source: https://github.com/Lambenthan/empiricalwiki/tree/main/.claude/skills/check
Command: npx skills add https://github.com/Lambenthan/empiricalwiki --skill check-lambenthan

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you detect structural, link, field, and graph-consistency problems across your EmpiricalWiki so your knowledge base stays reliable and queryable.

Core Features & Use Cases

  • Automated wiki linting: Scans all core entity pages (papers, concepts, topics, people, Summary, ideas, experiments, claims) plus graph consistency files to surface issues.
  • Safety-first reporting with optional fixes: Produces a graded lint report (🔴/🟡/🔵) and can auto-fix deterministic issues like missing required fields and xref backlink completion.
  • Graph integrity validation: Checks graph/edges.jsonl JSON validity, required edge fields, edge type legality, confidence semantics, dangling node existence, and citation-layer consistency via graph/citations.jsonl.

Quick Start

Run a wiki scan and generate a lint report by executing python3 tools/lint.py --wiki-dir wiki/ --json from the repository root.

Frequently Asked Questions about check

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

FAQPage Schema
How do I validate JSONL edge formats and metadata fields in an EmpiricalWiki?▼

You can validate JSONL edge formats and metadata fields by running a wiki lint scan that checks graph consistency, enforces enum constraints, and verifies claim confidence bounds across all core entity pages.

What is the best way to find dangling nodes and broken wikilinks in a knowledge graph?▼

To find dangling nodes and broken wikilinks, run a wiki cross-reference check that scans semantic graph consistency and verifies wikilink symmetry to surface structural issues across your pages.

Can I automatically fix missing metadata fields and incomplete cross-references in my wiki?▼

Yes, you can automatically fix missing required fields and complete xref backlinks by executing the wiki lint tool with the --fix flag to perform deterministic corrections.

How does wikilint reporting work for empirical research datasets?▼

Wikilint reporting generates a graded report using severity indicators to surface structural, link, and graph-consistency problems so your empirical research knowledge base stays reliable and queryable.

When do I need to run a pre-release validation scan on my wiki pages?▼

You need pre-release validation when preparing datasets of papers, concepts, and experiments to ensure citation-layer consistency and catch semantic graph inconsistencies before publishing your wiki.

Related Skills

Explore More Education & Research Skills→
duany049duany049

/check

Scan research wiki directories for structural, link, and graph health issues.

Community
Advanced
PostergullyPostergully

maintain

Audit and repair the brain's knowledge graph with health checks and remediation.

Community
Advanced
kthornkthorn
118

Traversing Citation Networks

Traverse citation networks via Semantic Scholar with depth-limited BFS and relevance filtering.

Community
Basic
giuseppe-trisciuogliogiuseppe-trisciuoglio
322

unit-test-bean-validation

Test Jakarta Bean Validation constraints in isolated JUnit 5 tests.

Community
Intermediate