Verified:GitHub

Find Articles

Scan news sources for EU referendum articles and classify them by priority.

1|Updated Mar 6, 2026

Search Tags:#information retrieval #prioritization #content filtering #news aggregation #article discovery #EU referendum

Ready to run

npx skills add https://github.com/bgautijonsson/esbvaktin --skill find-articles

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Find Articles
Source: https://github.com/bgautijonsson/esbvaktin/tree/main/.claude/skills/find-articles
Command: npx skills add https://github.com/bgautijonsson/esbvaktin --skill find-articles

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires json, pathlib, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the discovery and initial filtering of online articles related to the EU referendum, ensuring that only relevant and high-priority content is presented for further analysis.

Core Features & Use Cases

Automated Article Scanning: Scans recent news and public discourse for articles mentioning the EU referendum.
Intelligent Filtering: Filters out already processed, rejected, or irrelevant articles based on titles and known patterns.
Prioritization: Classifies remaining articles into HIGH, MEDIUM, and LOW priority based on their content and relevance.
Use Case: As a researcher tracking public opinion on the EU referendum, use this Skill to automatically find new articles published daily, saving you the time of manually searching and sifting through irrelevant news.

Quick Start

Use the find-articles skill to scan for new articles published in the last 7 days.

Frequently Asked Questions about Find Articles

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

FAQPage Schema

How do I automate article discovery and filtering for EU referendum news?▼

Automate EU referendum article discovery by scanning news sources, filtering out processed or irrelevant content based on titles, and classifying remaining articles by priority. This saves manual search time by presenting only high-priority content for analysis.

What is the best way to prioritize news aggregation for a specific political event?▼

Prioritize news aggregation for political events by classifying articles into HIGH, MEDIUM, and LOW priority based on content relevance. This filtering mechanism ensures researchers focus only on high-impact public discourse rather than sifting through all mentions.

Can I use this article scanning tool to track public opinion over time?▼

Yes, you can track public opinion by using the scanning feature to discover new articles published in the last 7 days. It manages an inbox for pending articles, filtering out previously processed content to maintain a continuous tracking workflow.

Does the article discovery skill work with external news fetching tools?▼

The article discovery skill integrates with external tools like Fréttasafn MCP for fetching articles. It uses this integration to scan recent news, filter irrelevant items, and populate an inbox with newly discovered, prioritized articles.

How does content filtering handle already processed or rejected articles?▼

Content filtering handles processed articles by scanning titles and known patterns to exclude previously rejected or irrelevant content. This ensures the pending article inbox only contains new, relevant information requiring further analysis.

What dependencies do I need to run the article discovery and prioritization workflow?▼

You need Python dependencies json and pathlib to run the article discovery and prioritization workflow. These standard libraries support the scripts and references components that execute the scanning and filtering logic.