Can I use this for multi-threaded application testing?

Yes, the skill includes a parallel execution path that uses thread pools to verify that your implementation yields the same results under concurrent load as it does sequentially.

Does it support high-precision calculations?

The skill is designed for 64-bit exactness using SplitMix64 and includes options for arbitrary precision (mpfr) to avoid float truncation errors.

How does this skill help with GF(3) conservation?

It automatically groups data into triplets and verifies that the sum of their 'trits' is congruent to 0 modulo 3, ensuring mathematical balance in tripartite systems.

What is Strong Parallelism Invariance (SPI)?

SPI is a property of deterministic generators where the output for a given set of indices remains identical regardless of the order in which those indices are processed (sequentially, shuffled, or in parallel).

SPI Parallel & GF(3) Verifier

Name: SPI Parallel & GF(3) Verifier
Author: plurigrid

byplurigrid

•

Security & Testing

Ensures mathematical consistency and execution order invariance for deterministic color streams and tripartite data.

This skill provides a robust verification framework for Strong Parallelism Invariance (SPI) and GF(3) conservation within the ASI ecosystem. It guarantees that deterministic generators, such as those used for topological chemputing or color mapping, produce bit-identical results whether computed sequentially, in reverse, or across parallel processes. By validating that the execution path does not affect the output and that tripartite streams satisfy modular conservation laws, it ensures the reliability and reproducibility of complex, distributed simulations and derivational chains.

Key Features

01High-precision 64-bit deterministic RNG verification

02GF(3) tripartite conservation checking

03Multi-path execution testing (Sequential, Reversed, Shuffled, Parallel)

04Strong Parallelism Invariance (SPI) validation

05Cross-system integration with unworld and gay-mcp

062 GitHub stars

Use Cases

01Auditing distributed systems to ensure order-independent results

02Validating conservation laws in complex derivational data chains

03Verifying that a parallelized RNG implementation is thread-safe and deterministic

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi spi-parallel-verify

For use in Claude.ai and ChatGPT

Download Skill