learn-from-article

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.

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.

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.

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.

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.

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.