learn-from-article

Extract production-backed insights from articles with credibility scoring and security checks.

3|Updated Apr 5, 2026

Search Tags:#insights #article #knowledge-extraction #security-scan #research-synthesis #credibility-assessment

Ready to run

npx skills add https://github.com/dvy1987/agent-loom --skill learn-from-article

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: learn-from-article
Source: https://github.com/dvy1987/agent-loom/tree/main/.agents/skills/learn-from-article
Command: npx skills add https://github.com/dvy1987/agent-loom --skill learn-from-article

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Extracts actionable, production-backed insights from blog posts and practitioner articles while assessing credibility and security so teams avoid adopting untested or unsafe recommendations.

Core Features & Use Cases

Credibility scoring across six dimensions with a ≥6/12 gate and explicit borderline handling for ambiguous sources.
Security scanning via secure-* checks, separation of opinion vs. production-backed claims, and automated matching of validated insights to existing skills or project artifacts.
Use Case: Review an engineering blog post, surface high-confidence techniques, warn about scale mismatches, and produce an application plan with citations.

Quick Start

Analyze this article URL, score credibility, run the security scan, extract production-backed insights, and recommend what to apply to the current project.

Frequently Asked Questions about learn-from-article

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

FAQPage Schema

How do I extract actionable insights from an engineering blog post?▼

To extract actionable insights from an engineering blog post, ingest the content via URL, pasted text, or file. The system separates production-backed claims from opinions and maps validated findings to existing skills with citation logging.

How does credibility assessment work for technical articles?▼

Credibility assessment scores articles across six dimensions with a strict threshold gate. Sources scoring below the threshold are flagged, and explicit borderline handling processes ambiguous claims to ensure only validated techniques are surfaced.

Can I use this to analyze local article files for research synthesis?▼

Yes, you can analyze local article files for research synthesis by ingesting content directly from your local system. The pipeline extracts practitioner advice, runs security checks, and generates an application plan mapped to your project artifacts.

Does the article analysis pipeline include security scanning?▼

Yes, the article analysis pipeline includes automated security scanning. It runs secure-* checks during ingestion to identify unsafe recommendations before mapping validated insights to your existing skills or project artifacts.

What is the best way to review a Hacker News post for production-backed techniques?▼

To review a Hacker News post for production-backed techniques, ingest the URL to trigger credibility scoring and security checks. The system warns about scale mismatches and outputs high-confidence techniques with citations.

How do I handle ambiguous sources during knowledge extraction?▼

During knowledge extraction, ambiguous sources are managed through explicit borderline handling within the six-dimension credibility scoring system. This ensures untested or unsafe recommendations are filtered out before applying findings to projects.