What is GF(3) domain classification?

GF(3) is a Galois field used here to classify domains into three behavioral categories: Plus (+1) for creation/learning, Ergodic (0) for information coordination, and Minus (-1) for consumption.

Which browsers are supported by this skill?

The skill supports a wide range of browsers including Chrome, Arc, Brave, Firefox, Safari, and the ChatGPT Atlas (Chromium-based) environment.

What is an ACSet in the context of browser history?

An ACSet (Attributed C-Set) is a mathematical structure that organizes browser data such as URLs, visits, and domains into a unified, queryable schema based on category theory.

Can I use this skill with both Python and Julia?

Yes, the skill is specifically designed to verify path equivalence between Python's PyACSet and Julia's ACSets.jl, ensuring consistent results across both languages.

How does this integrate with other AI tools?

It provides structured, location-aware embeddings and temporal query capabilities that can be used by models like OlmoEarth or within the Tenderloin WEV ecosystem.

Browser History ACSet

Name: Browser History ACSet
Author: plurigrid

byplurigrid

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Data Science & ML

Transforms multi-browser history into a unified categorical structure for behavioral analysis and cross-language data consistency.

About

The Browser History ACSet skill organizes raw browsing data from major platforms like Chrome, Firefox, and Safari into a mathematically rigorous schema using algebraic category theory. By applying GF(3) trit classification, it enables developers and researchers to analyze browsing behavior through the lenses of creation, information coordination, and consumption. This skill ensures data integrity across Python and Julia environments via path equivalence testing, making it a powerful tool for advanced user behavior modeling, temporal analysis, and building intelligent agents that understand a user's digital footprint through topological structures.

Key Features

Cross-language path equivalence verification between Python (PyACSet) and Julia (ACSets.jl)
Unified schema for Chrome, Brave, Arc, Firefox, Safari, and ChatGPT Atlas history
Integration with spatial (GeoACSet) and temporal data structures
2 GitHub stars
Advanced navigation and data transformation using Specter-style selectors
GF(3) trit-based behavioral classification (Creation, Ergodic, Consumption)

Use Cases

Maintaining consistent mathematical structures in multi-language data science pipelines
Building location-aware browsing models by integrating geographic impact zones
Analyzing developer productivity by identifying 'Creation' versus 'Consumption' patterns

About

Key Features

Cross-language path equivalence verification between Python (PyACSet) and Julia (ACSets.jl)
Unified schema for Chrome, Brave, Arc, Firefox, Safari, and ChatGPT Atlas history
Integration with spatial (GeoACSet) and temporal data structures
2 GitHub stars
Advanced navigation and data transformation using Specter-style selectors
GF(3) trit-based behavioral classification (Creation, Ergodic, Consumption)

Use Cases

Maintaining consistent mathematical structures in multi-language data science pipelines
Building location-aware browsing models by integrating geographic impact zones
Analyzing developer productivity by identifying 'Creation' versus 'Consumption' patterns