evaluator

Verify research findings with 3-stage checks and confidence scoring.

1|Updated Feb 3, 2026
One-click install
npx skills add https://github.com/ppijbb/sparkleforge --skill evaluator-ppijbb
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: evaluator
Source: https://github.com/ppijbb/sparkleforge/tree/main/skills/evaluator
Command: npx skills add https://github.com/ppijbb/sparkleforge --skill evaluator-ppijbb

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill enables rigorous, automated evaluation and verification of research findings, reducing bias, errors, and unsubstantiated claims.

Core Features & Use Cases

  • 3-stage verification: internally checks coherence, cross-checks sources, and flags uncertainties.
  • Source credibility scoring: assigns confidence levels to cited works and data.
  • Gap and bias detection: identifies missing perspectives and hidden assumptions.
  • Actionable recommendations: outputs improvement steps and fact-checking notes.

Quick Start

Provide a research result to the evaluator and trigger the 3-stage verification workflow to return a confidence-scored evaluation.

Frequently Asked Questions about evaluator

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

FAQPage Schema
How do I verify research findings and assess source credibility?

To verify research findings and assess source credibility, you can use an automated 3-stage verification workflow that checks coherence, cross-checks sources, flags uncertainties, and assigns confidence scores to cited works.

Does automated bias detection work for academic literature and technical reports?

Automated bias detection works for academic literature and technical reports by identifying missing perspectives, hidden assumptions, and gaps within the text to reduce unsubstantiated claims.

What is the best way to fact-check online sources for gaps and errors?

The best way to fact-check online sources for gaps and errors is applying a structured evaluation framework that enforces validation workflows, marks uncertainty, and outputs actionable improvement recommendations.

How do I start evaluating a research result using a 3-stage verification workflow?

To start evaluating a research result, provide the text to the verification workflow to trigger automated coherence checks, source cross-checks, and confidence scoring, returning a complete evaluation with fact-checking notes.

Can I use this evaluation framework for online sources without any dependencies?

Yes, you can use this evaluation framework for online sources without external dependencies, as it operates using dedicated internal scripts to enforce validation workflows and generate confidence-scored assessments independently.

When should I not use automated fact-checking for research verification?

You should not use automated fact-checking when a human-level contextual review is mandatory, as the automated workflow focuses on coherence, source cross-checks, and uncertainty marking rather than deep qualitative interpretation.