Maps the cognitive fingerprint of any writer by scoring 12 dimensions like analytical depth, creative range, and emotional processing on a 1-10 scale. Built on the DHDNA framework (published research with DOIs), which treats thinking patterns like biological DNA. Feed it any text and get back scored dimensions, tension pairs (analytical vs intuitive, strategic vs emotional), and a topology of how that mind reasons. Most interesting for comparing how different people approach the same problem or understanding your own defaults. The profiler doesn't judge quality, just maps the shape of someone's cognition from their words.

skills.sh installs
2K
GitHub stars
56.6K
last updated
Aug 21, 2026

Install

$ npx -y skills add k-dense-ai/scientific-agent-skills --skill dhdna-profiler --agent claude-code

Installs into .claude/skills of the current project.

Files

DHDNA Profiler — Text Pattern Annotation

An exploratory rubric for describing a supplied text using Digital Human DNA (DHDNA) terminology. Its cognitive-fingerprint language is a framework metaphor; it does not establish a unique, stable, or identifiable psychological signature.

Use this workflow for requested reflection on writing. It requires no package, credentials, API call, or MindBook account. It does not reproduce MindBook's scoring engine.

Sources and scope

The current publisher page names twelve public dimensions as a design vocabulary. The table below maps those names to the existing skill's annotation labels. The observation criteria and score anchors are local conventions, not an upstream validated scoring instrument.

Sponsors

Details

Repository
github.com/k-dense-ai/scientific-agent-skills
Categories
Documentation, Code Review & Quality, AI & Agent Building, Debugging, Productivity & Planning
First seen
Jun 3, 2026

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