·model-equivariance-auditor
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model-equivariance-auditor

lyndonkl/claude

Use when you have implemented an equivariant model and need to verify it correctly respects the intended symmetries. Invoke when user mentions testing model equivariance, debugging symmetry bugs, verifying implementation correctness, checking if model is actually equivariant, or diagnosing why equivariant model isn't working. Provides verification tests and debugging guidance.

11Installs·0Trend·@lyndonkl

Installation

$npx skills add https://github.com/lyndonkl/claude --skill model-equivariance-auditor

SKILL.md

This skill helps you verify that your implemented model correctly respects its intended symmetries. Even with equivariant libraries, implementation bugs can break equivariance. This skill provides systematic verification tests and debugging strategies.

Why audit? A model that claims equivariance but isn't will train poorly and give inconsistent predictions. Catching these bugs early saves debugging time.

Collect: the implemented model, the intended symmetry group, whether each output should be invariant or equivariant, the transformation functions for input and output spaces. Review the architecture specification from design phase. Clarify ambiguities with user before testing.

Use when you have implemented an equivariant model and need to verify it correctly respects the intended symmetries. Invoke when user mentions testing model equivariance, debugging symmetry bugs, verifying implementation correctness, checking if model is actually equivariant, or diagnosing why equivariant model isn't working. Provides verification tests and debugging guidance. Source: lyndonkl/claude.

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Install command
npx skills add https://github.com/lyndonkl/claude --skill model-equivariance-auditor
Category
</>Dev Tools
Verified
First Seen
2026-02-01
Updated
2026-02-18

Quick answers

What is model-equivariance-auditor?

Use when you have implemented an equivariant model and need to verify it correctly respects the intended symmetries. Invoke when user mentions testing model equivariance, debugging symmetry bugs, verifying implementation correctness, checking if model is actually equivariant, or diagnosing why equivariant model isn't working. Provides verification tests and debugging guidance. Source: lyndonkl/claude.

How do I install model-equivariance-auditor?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/lyndonkl/claude --skill model-equivariance-auditor Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Where is the source repository?

https://github.com/lyndonkl/claude