How does this skill handle precision issues?

It avoids standard float truncation by using arbitrary precision calculations or hex-based comparisons to ensure the RNG state remains perfectly deterministic.

Which ternary sources are supported by this skill?

This skill currently supports verification for splitmix_ternary, xoroshiro_3color, and gay_mcp sources.

Why is GF(3) conservation important in these streams?

GF(3) or Galois Field 3 conservation ensures that the mathematical properties of the ternary color streams are maintained throughout the transformation process, preventing data corruption.

What is Strong Parallelism Invariance (SPI)?

SPI is a property ensuring that a computation yields the exact same result regardless of the order of execution or whether the task is split across parallel threads.

SPI Parallel Verification

Name: SPI Parallel Verification
Author: plurigrid

byplurigrid

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安全与测试

Verifies Strong Parallelism Invariance and GF(3) conservation to ensure deterministic execution across parallel 3-way color streams.

关于

The SPI Parallel Verify skill allows Claude to validate the integrity and mathematical consistency of parallelized computations within topological computing environments. It specifically focuses on Strong Parallelism Invariance (SPI) and Galois Field (GF(3)) conservation, ensuring that ordered, reversed, or shuffled execution paths yield identical, bit-perfect results. This is essential for developers working on complex ternary systems or 'chemputer' simulations where arbitrary precision and state conservation are required to maintain determinism across distributed or multi-threaded workloads.

主要功能

Deterministic report generation for parallel vs sequential states
Support for SplitMixTernary and Xoroshiro_3color sources
Arbitrary precision comparison for ternary streams
Validation of Strong Parallelism Invariance (SPI)
GF(3) mathematical conservation checking per triplet
2 GitHub stars

使用场景

Ensuring parallelized algorithms produce results identical to sequential execution
Debugging state drift in multi-threaded ternary RNG implementations
Verifying mathematical invariants in topological computing simulations

关于

主要功能

Deterministic report generation for parallel vs sequential states
Support for SplitMixTernary and Xoroshiro_3color sources
Arbitrary precision comparison for ternary streams
Validation of Strong Parallelism Invariance (SPI)
GF(3) mathematical conservation checking per triplet
2 GitHub stars

使用场景

Ensuring parallelized algorithms produce results identical to sequential execution
Debugging state drift in multi-threaded ternary RNG implementations
Verifying mathematical invariants in topological computing simulations