skills.rest
DTMC-marketplace
DTMC-marketplaceOFFICIAL
Explore all skills by this author →
GitHub

claimbuster-api

Score sentences for check-worthiness and identify factual claims via ClaimBuster API.

2|Updated Jan 15, 2026
Search Tags:#fact-checking#verification#compliance#AI Act#societal risk#claim spotting
One-click install
npx skills add https://github.com/DTMC-marketplace/governance --skill claimbuster-api
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: claimbuster-api
Source: https://github.com/DTMC-marketplace/governance/tree/main/skills/claimbuster-api
Command: npx skills add https://github.com/DTMC-marketplace/governance --skill claimbuster-api

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the process of fact-checking and identifying factual claims within text, prioritizing them for verification.

Core Features & Use Cases

  • Check-worthiness Scoring: Assigns a score to sentences indicating their suitability for fact-checking.
  • Claim Identification: Detects and flags sentences that contain factual claims.
  • Prioritization: Helps focus verification efforts on the most important claims.
  • Use Case: Use this skill to analyze news articles or social media posts to quickly identify and flag potentially false or misleading statements for further investigation.

Quick Start

Use the claimbuster-api skill to score the check-worthiness of the provided text.

Frequently Asked Questions about claimbuster-api

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

FAQPage Schema
How do I automate fact-checking and identify factual claims in text?▼

Automated fact-checking identifies factual claims by scoring sentences for check-worthiness, prioritizing statements for verification and flagging misleading content.

What is check-worthiness scoring for claim spotting?▼

Check-worthiness scoring evaluates sentences to determine their suitability for fact-checking, assigning a score that indicates whether a statement contains a verifiable factual claim.

How can I assess societal risk compliance for EU AI Act Article 9?▼

Assess EU AI Act Article 9 societal risk compliance by analyzing text to identify and prioritize factual claims, supporting automated compliance evaluation requirements.

How do I detect potentially false statements in news articles or social media posts?▼

Detect false statements in news or social media by scoring text for check-worthiness, flagging sentences containing factual claims for further investigation and prioritization.

Does automated claim spotting require external API integration?▼

Automated claim spotting integrates with the ClaimBuster third-party API to perform automated analysis, scoring sentences and identifying factual claims without manual verification overhead.

What are the limitations of automated fact-checking for compliance assessment?▼

Automated fact-checking limitations include relying on check-worthiness scoring to prioritize claims for verification rather than definitively proving truth, serving as a preliminary compliance assessment step.

Related Skills

Explore More Legal & Compliance Skills→
Gundlapuriswathiii006Gundlapuriswathiii006

podcast-marketing

Convert podcast episodes into structured marketing content via RSS, transcripts, or YouTube links.

Community
Advanced
DTMC-marketplaceDTMC-marketplace

hate-speech-detector

Classify text for hate speech and offensive language using the HateSonar API.

Official
Intermediate
kngender5kngender5

academic-engineering-suite-v2

Extract text and structured data from PDFs, videos, and course materials.

Community
Advanced
DTMC-marketplaceDTMC-marketplace

toxicity-detection

Detect and filter toxic content in AI inputs and outputs.

Official
Intermediate