Does it integrate with package managers?

The skill provides programmatic verification for npm, PyPI, and Crates.io to fetch exact download stats and version data instead of relying on potentially outdated search snippets.

What are the T1-T6 credibility tiers?

They rank sources from Primary (T1: Peer-reviewed/official) to Unverified (T6: SEO spam/AI-generated), ensuring only trusted, high-authority data is used for factual claims.

How does it evaluate GitHub repositories?

It assesses health signals like commit frequency and issue response times, plus adoption signals like stars, forks, and the 'bus factor' to determine project stability.

Why is source evaluation important for AI agents?

Research indicates that over 57% of errors occur in early retrieval; this skill prevents cascading downstream errors by ensuring only high-quality information enters the agent's context.

Can it detect SEO-optimized content?

Yes, it identifies red flags such as shallow listicle formats, keyword stuffing, and lack of author attribution to automatically discard low-quality results.

Source Evaluation & Credibility

Name: Source Evaluation & Credibility
Author: oborchers

byoborchers

•

Web Scraping y Recopilación de Datos

Validates the credibility of online sources and technical artifacts to ensure high-quality research and prevent information contamination.

This skill equips Claude with a rigorous framework for evaluating source quality during deep research tasks, effectively acting as a filter against SEO spam, content farms, and hallucination-prone data. It implements a multi-tier credibility system (T1-T6) and the CRAAP framework to assess academic, technical, and institutional sources, while providing programmatic methods to verify the health and adoption metrics of software packages, GitHub repositories, and APIs. By front-loading quality in the retrieval stage, it eliminates the primary catalyst for cascading errors in AI-driven research trajectories.

Características Principales

01Programmatic stat verification via npm, PyPI, Crates.io, and GitHub APIs for ground-truth metrics.

02Six-tier source credibility taxonomy (T1-T6) for ranking evidence quality from primary to unverified.

03Multi-provider search strategy routing queries to domain-specific sources like arXiv, PubMed, and GitHub.

04Technical artifact evaluation for software packages, repos, and APIs using health and adoption signals.

05Automated SEO spam and content farm detection using multi-factor red flag analysis.

069 GitHub stars

Casos de Uso

01Evaluating third-party libraries or dependencies for production readiness and long-term maintenance health.

02Detecting and filtering out AI-generated or SEO-optimized content from search results to improve context window quality.

03Performing deep technical research where factual accuracy and academic rigor are mission-critical.

Características Principales

01Programmatic stat verification via npm, PyPI, Crates.io, and GitHub APIs for ground-truth metrics.

02Six-tier source credibility taxonomy (T1-T6) for ranking evidence quality from primary to unverified.

03Multi-provider search strategy routing queries to domain-specific sources like arXiv, PubMed, and GitHub.

04Technical artifact evaluation for software packages, repos, and APIs using health and adoption signals.

05Automated SEO spam and content farm detection using multi-factor red flag analysis.

069 GitHub stars

Casos de Uso

01Evaluating third-party libraries or dependencies for production readiness and long-term maintenance health.

02Detecting and filtering out AI-generated or SEO-optimized content from search results to improve context window quality.

03Performing deep technical research where factual accuracy and academic rigor are mission-critical.