cognitive-surrogate
OfficialBuild authentic cognitive surrogates.
System Documentation
What problem does it solve?
The Cognitive Surrogate Skill enables building high-fidelity psychological models from interaction data. It extracts values, predicts cognitive trajectories, and generates authentic responses that preserve the subject's voice with high fidelity.
Core Principle: A surrogate is a derivational continuation of cognition, not a surface imitation.
NEW (Langevin/Gibbs Integration): Predictions leverage a Gibbs distribution; confidence scores reflect mixing time and temperature parameters.
Core Capabilities
- build-psychological-profile
- train-predictor
- validate-fidelity
- generate-authentic-reply
- predict-via-gibbs-distribution (NEW)
- project-trajectory
Integration: ethics & safety
- Explicit subject consent for surrogates
- Transparent disclosure when surrogate-generated content is used
- Boundaries on high-stakes decisions
- Audit trail with seeds for reproducibility
Quick Start
Initialize a seed, build a profile from your interaction corpus, train a predictor, and generate an authentic reply.
Dependency Matrix
Required Modules
Components
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: cognitive-surrogate Download link: https://github.com/plurigrid/asi/archive/main.zip#cognitive-surrogate Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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