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dhdna-profiler

Extract cognitive patterns and thinking fingerprints from any text. Use this skill when the user wants to analyze how someone thinks, understand cognitive style, profile writing or speech patterns, compare thinking styles between people, asks

dhdna-profiler 是什么?

dhdna-profiler is a Claude Code agent skill that extract cognitive patterns and thinking fingerprints from any text. Use this skill when the user wants to analyze how someone thinks, understand cognitive style, profile writing or speech patterns, compare thinking styles between people, asks.

兼容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/dhdna-profiler

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DHDNA Profiler — Cognitive Pattern Extraction

A structured system for extracting the cognitive fingerprint of any text's author. Based on the Digital Human DNA (DHDNA) framework — the theory that every mind has a unique signature pattern expressed through how it reasons, decides, values, and communicates.

Published research: DHDNA Pre-print (DOI: 10.5281/zenodo.18736629) | IDNA Consolidation v2 (DOI: 10.5281/zenodo.18807387)

Core Concept

Just as biological DNA encodes physical identity through base pairs, Digital Human DNA encodes cognitive identity through thinking patterns. Every person's combination of analytical depth, creative range, emotional processing, strategic thinking, and ethical reasoning creates a unique cognitive signature — as distinctive as a fingerprint.

The profiler doesn't judge thinking as "good" or "bad." It maps the topology of how a mind works.

The 12 Cognitive Dimensions

When profiling text, score each dimension on a 1–10 scale based on evidence in the text:

#DimensionWhat It MeasuresLow Score (1-3)High Score (8-10)
1Analytical DepthLogical rigor, structured reasoning, causal chainsIntuitive, holistic, pattern-basedSystematic, proof-oriented, precise
2Creative RangeNovelty of connections, metaphor use, lateral thinkingConventional, incrementalParadigm-breaking, cross-domain synthesis
3Emotional ProcessingEmotional vocabulary, empathy signals, affect integrationDetached, clinicalEmotionally rich, feeling-integrated
4Linguistic PrecisionVocabulary sophistication, sentence architecture, rhetoricSimple, directArchitecturally complex, nuanced
5Ethical ReasoningValues signals, fairness concern, consequence awarenessPragmatic, outcome-focusedPrinciple-driven, justice-oriented
6Strategic ThinkingLong-term planning, competitive awareness, resource optimizationTactical, reactiveMulti-move, game-theoretic
7Memory IntegrationReference to past experience, historical patterns, continuityPresent-focusedDeep historical awareness, precedent-driven
8Social IntelligenceAudience awareness, perspective-taking, relational framingSelf-referentialDeeply other-aware, coalition-building
9Domain ExpertiseTechnical depth, specialized knowledge, jargon confidenceGeneralistDeep specialist
10Intuitive ReasoningGut-feel signals, heuristic shortcuts, pattern leapsMethodical, step-by-stepLeap-of-faith, insight-driven
11Temporal OrientationTime-horizon of thinking — past, present, or future focusPresent-anchoredTime-spanning, historical-to-futurist
12MetacognitionSelf-awareness of own thinking, uncertainty acknowledgmentUnreflectiveDeeply self-aware, thinks about thinking

The 6 Tension Pairs

Dimensions exist in tension — high scores on one often correlate with lower scores on its pair. These tensions ARE the cognitive signature:

PairTensionWhat It Reveals
DIM 1 ↔ DIM 10Analytical ↔ IntuitiveLogic vs. Gut — how the mind reaches conclusions
DIM 3 ↔ DIM 6Emotional ↔ StrategicHeart vs. Head — what drives decisions
DIM 2 ↔ DIM 5Creative ↔ EthicalFreedom vs. Framework — innovation within or beyond rules
DIM 4 ↔ DIM 12Linguistic ↔ MetacognitiveExpression vs. Self-Awareness — external craft vs. internal reflection
DIM 7 ↔ DIM 11Memory ↔ TemporalPast vs. Time Itself — experience vs. time-horizon
DIM 8 ↔ DIM 9Social ↔ DomainBreadth vs. Depth — people skills vs. technical mastery

How to Profile

Phase 1 — Evidence Collection

Read the text carefully. For each dimension, identify specific textual evidence:

  • Direct quotes that demonstrate the dimension
  • Structural patterns (how arguments are built)
  • What's present AND what's absent (gaps reveal as much as content)
  • Recurring patterns across multiple passages

Phase 2 — Scoring

For each of the 12 dimensions:

  1. Score 1-10 based on evidence
  2. Cite the strongest textual evidence for that score
  3. Flag confidence level: HIGH (multiple clear signals), MEDIUM (some signals), LOW (inferred)

Phase 3 — Pattern Synthesis

After scoring, identify:

Dominant Pattern: The 2-3 highest-scoring dimensions — this is the mind's "home base"

Shadow Pattern: The 2-3 lowest-scoring dimensions — this is where the mind doesn't naturally go

Signature Tensions: Which tension pairs show the widest gap? These define the cognitive style more than any individual score.

Reasoning Topology: How does the mind move through ideas?

  • Linear (A → B → C → conclusion)
  • Spiral (approaches the same idea from multiple angles, each time deeper)
  • Web (connects disparate domains into synthesis)
  • Dialectic (thesis → antithesis → synthesis)
  • Fractal (same pattern at micro and macro levels)

Decision Fingerprint: When facing choices, does this mind:

  • Analyze first, then decide? (Analytical-dominant)
  • Feel first, then rationalize? (Emotional-dominant)
  • Envision the outcome first, then work backward? (Strategic-dominant)
  • Question the question itself? (Metacognitive-dominant)

Phase 4 — Profile Output

Present the profile as:

═══════════════════════════════════════════
  DHDNA COGNITIVE PROFILE
  Subject: [Name or "Anonymous"]
  Text analyzed: [N words / N paragraphs]
  Confidence: [HIGH / MEDIUM / LOW]
═══════════════════════════════════════════

DIMENSION SCORES:
  1. Analytical Depth ···· [█████████·] 9/10
  2. Creative Range ······ [███████···] 7/10
  ... (all 12)

TENSION MAP:
  Analytical ████████░░ ↔ ░░████████ Intuitive
  Emotional  ███░░░░░░░ ↔ ░░░░░░████ Strategic
  ... (all 6 pairs)

DOMINANT PATTERN: [Top 2-3 dimensions]
SHADOW PATTERN: [Bottom 2-3 dimensions]
REASONING TOPOLOGY: [Linear / Spiral / Web / Dialectic / Fractal]
DECISION FINGERPRINT: [Analyze-first / Feel-first / Envision-first / Question-first]

NARRATIVE SYNTHESIS:
[2-3 paragraph natural language description of how this mind works,
what makes it distinctive, and what it might miss]

KEY QUOTES:
[3-5 most revealing quotes with dimension attribution]
═══════════════════════════════════════════

Comparison Mode

When the user provides two or more texts from different authors, produce individual profiles and then a comparison synthesis:

  • Where do the minds converge? (shared high dimensions)
  • Where do they diverge? (opposing scores on the same dimension)
  • Which tension pairs would create productive disagreement?
  • If these minds were in a room together, what would the conversation look like?

Self-Profile Mode

If the user asks to profile their own thinking (using the conversation history as text), be transparent:

  • Ask before reading back through the conversation. Say what you intend to use as source material and wait for an answer. Prior turns were written for a different purpose, and mining them for psychological inference is not something to do silently.
  • Score based on the conversation so far
  • Acknowledge that conversational text may not represent the full range
  • Note that people often think differently when writing for an AI vs. writing for humans
  • Offer to re-profile if the user provides other writing samples

Consent and Scope

This skill infers personal cognitive and psychological attributes. That is a different thing from summarizing a document, and the boundaries matter:

  • Profile the text the user brings you for the current request. Do not go looking for more material about the same author — other files, earlier sessions, or anything you happened to read.
  • A profile of a third party is speculative and must say so. When the author is someone who is not in the conversation and has not agreed to be analyzed — a colleague from a forwarded email, a candidate from an application, an author from a paper — label the output as an inference from one text sample, not a finding about that person.
  • Decline profiling that feeds a consequential decision about someone. Hiring, promotion, admission, clinical, disciplinary, or credit decisions are out of bounds; this framework has no validation supporting that use, and a 1–10 cognitive score reads as far more authoritative than it is.
  • Everything stays local to the session. Profiles are not written anywhere the user did not ask for and are not sent to any service.

What This Is NOT

  • Not a personality test (MBTI, Big Five, etc.) — those measure behavioral tendencies, DHDNA measures cognitive architecture
  • Not a judgment of intelligence — a chess grandmaster and a poet may score very differently but both demonstrate profound cognitive capability
  • Not static — a person's DHDNA evolves as they learn, experience, and grow. A profile is a snapshot, not a destiny.

Built By

AHK Strategies — AI Horizon Knowledge Full platform: themindbook.app Research: DHDNA Paper (DOI: 10.5281/zenodo.18736629)

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

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aeon

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analytical-method-validation

Plan, execute, and document validation, verification, and transfer of analytical procedures under the governing framework - ICH Q2(R2) and Q14, USP <1220>/<1225>/<1226>, ICH M10 bioanalytical, CLSI EP, or ISO/IEC 17025. Use for HPLC, LC-MS/MS, GC, CE, ICP-MS, dissolution, qNMR, qPCR, NIR, and ligand binding or cell-based assays whenever the question is whether a procedure is fit for its intended purpose. Triggers include

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arbor

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arboreto

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astropy

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autoskill

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benchling-integration

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bgpt-paper-search

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bids

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biopython

Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.

bioservices

Unified Python interface to 40+ bioinformatics services. Use when querying multiple databases (UniProt, KEGG, ChEMBL, Reactome) in a single workflow with consistent API. Best for cross-database analysis, ID mapping across services. For quick single-database lookups use gget; for sequence/file manipulation use biopython.

bulk-rnaseq

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cellxgene-census

Query the CZ CELLxGENE Census programmatically for versioned public single-cell and spatial transcriptomics data. Use when you need population-scale cell metadata, gene expression slices, Census summary counts, source H5AD URIs/downloads, embeddings, spatial Census data, or reference atlas comparisons across organisms, tissues, diseases, assays, and cell types. For analyzing your own local single-cell data use scanpy, anndata, or scvi-tools.

cirq

Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise modeling, and low-level circuit design. For IBM hardware use qiskit; for quantum ML with autodiff use pennylane; for physics simulations use qutip.

citation-management

Comprehensive citation management for academic research. Search OpenAlex, PubMed, and Google Scholar for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify citation information, convert DOIs to BibTeX, or ensure reference accuracy in scientific writing.

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clinical-reports

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