nci-manipulation-analysis

Score content for manipulation patterns across 20 NCI Protocol categories.

6|2|Updated Dec 19, 2025
One-click install
npx skills add https://github.com/synaptiai/synapti-marketplace --skill nci-manipulation-analysis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: nci-manipulation-analysis
Source: https://github.com/synaptiai/synapti-marketplace/tree/main/plugins/decipon/skills/nci-analysis
Command: npx skills add https://github.com/synaptiai/synapti-marketplace --skill nci-manipulation-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill helps identify manipulation, propaganda, and disinformation patterns in content by applying the NCI Protocol across 20 categories. It enables systematic, auditable scoring and dual-perspective reporting.

Core Features & Use Cases

  • Automated detection across emotional manipulation, timing, uniform messaging, tribal division, and missing information.
  • Generates a structured NCI score (0-100) with per-category evidence and confidence.
  • Supports deep-research verification in cases flagged for further scrutiny.
  • Use cases include analyzing text or URLs for bias in research papers, news articles, policy briefs, and social media.

Quick Start

Provide a URL or text input, run NCI analysis, and generate a dual-perspective report.

Frequently Asked Questions about nci-manipulation-analysis

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

FAQPage Schema
How do I detect manipulation and propaganda patterns in news articles or URLs?

You can detect emotional manipulation, tribal division, and missing information by inputting text or URLs for NCI Protocol analysis, which scores 20 categories on a 1-5 scale and calculates five weighted composite factors into a final 0-100 score.

What is the NCI Protocol for content analysis and how does the scoring work?

The NCI Protocol is a structured content analysis framework that scores 20 manipulation categories from 1 to 5, calculates five weighted composite factors, and produces an overall 0-100 manipulation score with per-category evidence and dual-perspective reporting.

Can I use this manipulation analysis tool for fact-checking social media and research papers?

Yes, the tool supports fact-checking workflows across research papers, news articles, policy briefs, and social media by evaluating claims, detecting uniform messaging, and producing dual perspectives with optional deep-research verification for flagged content.

How do I generate a dual-perspective report for disinformation analysis?

To generate a dual-perspective report, provide a URL or text input, run the NCI analysis to score the 20 categories, and the system outputs a structured report with composite factor calculations, evidence, and confidence metrics for both perspectives.

Does the content analysis support deep-research verification for flagged claims?

Yes, deep-research verification is supported as an optional integration for cases flagged during the initial NCI analysis, allowing users to further scrutinize claims that require additional evidence beyond the standard 20-category scoring.

What are the limitations of automated manipulation detection for journalism workflows?

Automated manipulation detection relies on the NCI Protocol's 20-category scoring and weighted composite factors, but complex or subtle disinformation may require optional deep-research verification, and results should be treated as structured analysis rather than definitive proof.