How does it handle broken links or outdated data?

It flags broken URLs, 404 redirects, and stale statistics (data over 2 years old), providing recommendations for updated sources or current package names.

Can Fact-Checker run code snippets?

Yes, the skill attempts to execute code blocks in a sandbox to verify they run correctly and report any errors, missing imports, or deprecated syntax.

What types of claims does this skill verify?

It focuses on technical claims (APIs, versions), statistical claims (numbers, studies), and attribution claims (quotes, sources).

What is the difference between this skill and the fact-checker subagent?

This skill is designed for quick pre-publication reviews and scanning for obvious errors, while the subagent is intended for deep verification requiring extended research on complex topics.

What does the output report include?

The report provides an overall verdict, a summary of findings, a detailed list of checked claims with individual results, and specific execution results for code blocks.

Fact-Checker

Name: Fact-Checker
Author: chekos

bychekos

0•

Gestión de Contenido

Verifies the accuracy of technical claims, code snippets, and statistical data within content drafts to ensure publication readiness.

The Fact-Checker skill is a specialized tool designed for editors and technical writers to audit content before publication. It systematically scans drafts to extract and validate technical claims—including live code execution in sandboxed environments—while cross-referencing statistics, API documentation, and attributions. By producing structured reports with clear verdicts, it streamlines the editorial process, catching outdated package names, broken links, and misattributed quotes to maintain high standards of factual integrity.

Características Principales

01Automated technical claim extraction and prioritization

02Detection of outdated package versions and deprecated API syntax

03Structured reporting with VERIFIED or ISSUES FOUND verdicts

040 GitHub stars

05Validation of statistical data and source attributions via web search

06Sandboxed code execution to verify snippet functionality

Casos de Uso

01Reviewing technical blog posts for code accuracy and working links

02Ensuring quotes and attributions in articles are correctly sourced

03Validating statistical data in data science tutorials or reports

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add chekos/bns-marketplace fact-checker

For use in Claude.ai and ChatGPT

Download Skill