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dingo-verify

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Fact-check articles with web-backed evidence.

Content & Communication#fact-checking#web search#evidence#json report#claim extraction#llm verification#article verification
Authoritsadijmbt
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps you verify factual claims in an article, reducing the risk of accepting misinformation by producing evidence-backed verdicts.

Core Features & Use Cases

  • Claim extraction and verification: Extracts multiple factual claim types from a document and verifies each claim using Dingo’s ArticleFactChecker.
  • Web-search supported evidence: Uses optional web search (via Tavily) to ground verdicts with external evidence when available.
  • Structured, machine-readable output: Outputs JSON containing summary metrics, false-claim comparisons, and a full per-claim overview suitable for downstream tooling.

Use case: You have a blog post or report and want to quickly audit whether key statements (dates, numbers, attributions, and technical claims) are true, false, or unverifiable.

Quick Start

Run the fact-check on your article file by calling: python ${CLAUDE_SKILL_DIR}/scripts/fact_check.py path/to/article.md.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 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: dingo-verify
Download link: https://github.com/itsadijmbt/SecureMCP-Servers/archive/main.zip#dingo-verify

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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