nw-source-verification

Automate source verification and citation standardization for research workflows.

Updated Apr 15, 2026
One-click install
npx skills add https://github.com/StudentCristian/nWave-github --skill nw-source-verification
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: nw-source-verification
Source: https://github.com/StudentCristian/nWave-github/tree/main/.github/skills/nw-source-verification
Command: npx skills add https://github.com/StudentCristian/nWave-github --skill nw-source-verification

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a rigorous framework for evaluating information sources, ensuring trust through tiered reputation scoring, cross-referencing, bias checks, and standardized citation formats.

Core Features & Use Cases

  • Source Reputation Tiers: classify sources into High, Medium-High, Medium, or Excluded with defined scoring.
  • Cross-Referencing Methodology: guidance to identify independent sources, verify claims, and document findings.
  • Bias Detection Checklist: assess commercial interests, sponsorship, conflicts of interest, and other bias signals.
  • Citation Format: standardized template and metadata for sources.

Quick Start

Provide a primary assertion and let the skill guide verification and citation formatting.

Frequently Asked Questions about nw-source-verification

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

FAQPage Schema
How do I automate source verification for academic and journalistic research?

Automate source verification by applying tiered reputation scoring, independent cross-referencing, and bias checks to evaluate claims. This process ensures source credibility and generates standardized citation formats for due-diligence workflows.

What is the best way to cross-reference independent sources to verify a claim?

Cross-reference independent sources by identifying multiple unaffiliated references for a single assertion, checking for corroborating evidence, and documenting the findings. This methodology verifies claims while mitigating the risk of propagated misinformation.

How do I detect bias and conflicts of interest in research sources?

Detect bias by applying a checklist that assesses commercial interests, sponsorship ties, and potential conflicts of interest. This bias detection process exposes hidden financial or ideological motivations that could compromise source credibility.

Can I standardize citation formats for due-diligence and academic contexts?

Standardize citation formats using a structured template that captures essential source metadata consistently across academic, journalistic, and due-diligence contexts. This ensures references meet rigorous documentation and verification requirements.

How does tiered reputation scoring work for evaluating source credibility?

Tiered reputation scoring classifies sources into High, Medium-High, Medium, or Excluded categories using defined scoring metrics. This hierarchical evaluation provides a clear trust assessment to determine if a source meets verification standards.

When should I not rely on a single source for research documentation?

Avoid relying on a single source when conducting due diligence or academic research, because independent cross-referencing and bias checks are required to ensure credibility. A solitary source lacks the verification depth needed for rigorous workflows.