cb.fabric-parity-gate
OfficialEnforce parity for Fabric CUDA/backends.
AuthorMetta-AI
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Fabric parity gate ensures that the active CUDA/backend Fabric path matches the PyTorch Fabric reference for outputs, states, and gradients before performance closure, preventing subtle mismatches from slipping into production.
Core Features & Use Cases
- Verify parity across forward outputs, final state, input gradients, and parameter gradients on multiple backend paths.
- Build and validate a minimal parity matrix covering active routes, reset behavior, and materialization modes.
- Use during integration to certify readiness of fabrics/backend paths before rollout to production environments.
Quick Start
Run the Fabric parity gate at startup to verify outputs, states, and gradients across the active backend path before enabling performance measurements.
Dependency Matrix
Required Modules
None requiredComponents
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: cb.fabric-parity-gate Download link: https://github.com/Metta-AI/cortical/archive/main.zip#cb-fabric-parity-gate Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.