Does this skill require specific data formats?

It primarily leverages DuckDB for interaction corpora but supports multi-language integration for various data schemas, including ACSets in Julia and condensed mathematics in Ruby.

How accurate are the generated models?

The skill includes validation metrics targeting over 90% fidelity in topic prediction, semantic similarity, style consistency, and value alignment.

What ethical safeguards are in place for these models?

The skill includes built-in considerations for explicit subject consent, mandatory disclosure of surrogate-generated content, and a subject-controlled 'kill switch' to invalidate models.

What is a Cognitive Surrogate?

It is a high-fidelity psychological model built from interaction patterns that acts as a 'derivational continuation' of a subject's cognitive style rather than just a surface-level imitation.

Cognitive Surrogate

Name: Cognitive Surrogate
Author: plurigrid

byplurigrid

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Data Science & ML

Builds, trains, and validates high-fidelity psychological models from interaction patterns to simulate cognitive behavior and intellectual trajectories.

The Cognitive Surrogate skill is a sophisticated modeling engine designed to construct 'derivational continuations' of cognitive profiles with over 90% fidelity. By extracting values, interests, and behavioral patterns from interaction corpora, it enables users to build predictive psychological models that preserve a subject's authentic voice and ethical framework. Leveraging a multi-language stack including Julia for topological schemas and Python for data extraction, it is ideal for researchers and developers looking to create verifiable digital representations of specific cognitive styles for simulation, testing, or educational purposes.

Key Features

01High-fidelity validation engine ensuring >90% accuracy in voice and value alignment

02Automated extraction of behavioral patterns and intellectual trajectories from interaction logs

03Multi-language integration (Julia, Python, Ruby, Hy) for complex profile modeling

04Topological data analysis using ACSet schemas and condensed mathematics

057 GitHub stars

06Ethical framework built-in with consent-driven design and reproducible audit trails

Use Cases

01Simulating user responses for product testing and UX research

02Analyzing and predicting shifts in cognitive patterns and value alignment within datasets

03Developing digital twins of specialized thinkers for educational and research simulations

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi cognitive-surrogate

For use in Claude.ai and ChatGPT

Download Skill