Wikipedia Research Skill

A comprehensive Claude Code skill for extracting verifiable, citation-backed research from Wikipedia with full provenance tracking for AI verification pipelines.

Why Use This Skill?

Features

• Citation Extraction: Parses Wikipedia references into CSL-JSON format
• Source Verification: Validates DOIs via doi.org, PMIDs via PubMed
• Claim Mapping: Links factual claims to supporting citations with confidence scores
• Entity Extraction: Identifies people, organizations, publications mentioned
• Relationship Mapping: Detects collaborators, employers, affiliations
• Timeline Construction: Builds chronological event sequences
• Quality Assessment: Admiralty Code ratings (A-F) for source reliability
• Uncertainty Flagging: Detects Wikipedia's {{citation needed}}, {{disputed}}, etc.

Installation

Claude Code (CLI)

# Copy to your skills directory
cp -r wikipedia-research ~/.claude/skills/

Project-level

# Add to your project
cp -r wikipedia-research .claude/skills/

Quick Start

from scripts.citation_extractor import CitationExtractor
from scripts.source_verifier import SourceVerifier
from scripts.entity_extractor import EntityExtractor

# Extract article with citations
extractor = CitationExtractor()
research = extractor.extract_article("Albert_Einstein")

# Verify citations
verifier = SourceVerifier()
verification = verifier.verify_citations(research['citations'])

# Extract entities and relationships
entity_extractor = EntityExtractor()
entities = entity_extractor.extract_entities(research)
timeline = entity_extractor.build_timeline(research)

Output Format

{
  "article": {
    "title": "Article Title",
    "url": "https://en.wikipedia.org/wiki/...",
    "revision_id": "1234567890"
  },
  "sections": [{
    "heading": "Section",
    "claims": [{
      "text": "Factual claim",
      "citation_ids": ["ref_1"],
      "confidence": 0.92
    }]
  }],
  "citations": [{
    "id": "ref_1",
    "type": "article-journal",
    "DOI": "10.1234/example",
    "PMID": "12345678"
  }],
  "verification": {
    "verification_score": 0.85,
    "reliability_assessment": "high"
  },
  "knowledge_graph": {
    "nodes": [...],
    "edges": [...],
    "timeline": [...]
  }
}

Confidence Scoring

Method: Additive heuristic based on citation metadata presence.

Limitations: This scores metadata presence, not semantic verification. A citation existing doesn't guarantee it supports the specific claim.

Scripts

License

Apache 2.0

Contributing

Contributions welcome! Please open an issue or PR.

Related

• Anthropic Skills Repository
• Wikipedia API Documentation
• CSL-JSON Specification