By name: mersenne-ghost-discovery description: Specialized probe for detecting "Invariance Loci" (GL) and Telemetry Phenotypes (TP) in the neighborhoods of certified primes.
Mersenne Invariance Audit (Ghost-Discovery Calibrated)
This skill governs the detection of Invariance Loci (GL): exponents that, while arithmetically composite (LL != 0), exhibit a high degree of phenotypic stability under algorithmic attacks.
🛠️ Mission: The GL/TP Hunt
We shifted from "Ghost Primes" to "Invariance Loci". We no longer seek hidden primes, but rather Structural Phenotypes in the exponent pipeline.
📜 Audit Protocols
- GL-Classification: Classifying candidates into GL-A (absolute invariance), GL-B, GL-C, or GL-D (artifact).
- Attack Vectoring: Using the
InvarianceEngineto apply rotations, permutations, and precision sweeps to examine the $I(p)$ index. - Telemetry Packaging (TP): Tagging runs with
TP-FFT,TP-SYS, orTP-IOto identify hardware/software dependencies. - Arithmetic Boundary: Maintaining a strict separation between GL-Invariance and LL-Primality. $M_p$ with $LL \neq 0$ is always COMPOSITE.
🚀 Execution
Gahenax_Core/physics/INVARIANCE_ENGINE.py: The core audit instrument.research/mersenne/NEIGHBORHOOD_SCANNER.py: Identifying GL-candidates.tools/ghost_hunter_lab.py: Calibrating records for the Unified Ledger.
Skill recalibrated by Antigravity Oracle v4.5 - Epistemological Guardrail.