dhdna-profiler

Score 12 cognitive dimensions from text and generate a cognitive fingerprint profile.

1|Updated Mar 4, 2026
One-click install
npx skills add https://github.com/Hung-3008/agusta --skill dhdna-profiler-hung-3008
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dhdna-profiler
Source: https://github.com/Hung-3008/agusta/tree/main/.agents/skills/dhdna-profiler
Command: npx skills add https://github.com/Hung-3008/agusta --skill dhdna-profiler-hung-3008

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

The DHDNA Profiler provides a structured method to extract cognitive fingerprints from text, enabling analysis of how a mind thinks, reasons, and communicates.

Core Features & Use Cases

  • 12 cognitive dimensions are scored from text to reveal thinking patterns.
  • Phase-based profiling (Evidence Collection, Scoring, Pattern Synthesis) with a final narrative synthesis.
  • Comparative and self-profile modes to understand cognitive style, evolution, and cross-text consistency.

Quick Start

Provide a sample text for analysis to generate a DHDNA cognitive profile.

Frequently Asked Questions about dhdna-profiler

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

FAQPage Schema
What is a cognitive fingerprint and how does text analysis identify thinking patterns?

A cognitive fingerprint is a structured profile of how a mind reasons, generated by scoring 12 cognitive dimensions from provided text. Text analysis extracts these dimensional scores to reveal dominant and shadow thinking patterns.

How do I analyze text to extract a cognitive profile?

To analyze text for a cognitive profile, provide a sample text to the profiler. It applies a phase-based workflow of evidence collection, scoring, and pattern synthesis to generate a structured analysis of reasoning topology.

Can I compare thinking patterns across different writing samples?

Yes, you can compare thinking patterns across texts using the comparative profiling mode. This mode analyzes cross-text consistency and cognitive evolution by contrasting dimensional scores from different samples.

What does dimensional analysis of cognitive reasoning include?

Dimensional analysis of cognitive reasoning includes scoring 12 dimensions, synthesizing dominant and shadow patterns, mapping reasoning topology, and generating a narrative synthesis with explicit confidence levels and key quotes.

Does cognitive profiling work without external data dependencies?

Yes, cognitive profiling works without external dependencies. You only need to provide the raw text for analysis, and the profiler internally handles evidence collection, scoring, and pattern synthesis to output the cognitive fingerprint.

When should I use cognitive text analysis for research?

Use cognitive text analysis for research when you need to embed structured thinking profiles into a knowledge base. It provides a comprehensive breakdown of reasoning patterns suitable for educational and cognitive research applications.