representation-freeze-audit

Audit freeze status of embeddings and components in topological data analysis workflows.

1|Updated Dec 13, 2025
One-click install
npx skills add https://github.com/stephendor/TDL --skill representation-freeze-audit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: representation-freeze-audit
Source: https://github.com/stephendor/TDL/tree/main/.agents/skills/representation-freeze-audit
Command: npx skills add https://github.com/stephendor/TDL --skill representation-freeze-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill ensures the consistency of representations in topological data analysis by auditing the freeze status of embeddings, loadings, and other relevant components.

Core Features & Use Cases

  • Representation Consistency: Audits for correct freezing of embeddings, loadings, and other components before comparisons.
  • Pre-Embedding Null Tests: Ensures null operations are applied to raw data before embedding to maintain topological integrity.
  • Frozen vs. Provisional Distinction: Maintains distinct paths for frozen and provisional embeddings to prevent mix-ups.
  • Cross-Group Comparability: Ensures cross-group comparisons use the same frozen loadings to maintain data comparability.

Quick Start

Run the representation-freeze-audit skill to validate the consistency of your embeddings before performing topological analysis.

Frequently Asked Questions about representation-freeze-audit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
Why do I need to freeze embeddings before topological data analysis?

Freezing embeddings ensures representation consistency before topological data analysis by locking PCA, UMAP, or scaler loadings. This prevents mix-ups between provisional and frozen states, maintaining data comparability across cross-group cohorts.

How do I audit frozen loadings for cross-group embedding comparisons?

Auditing frozen loadings for cross-group embedding comparisons requires validating that all cohorts use the exact same frozen loadings. This representation freeze protocol ensures topological integrity and prevents inconsistent data projections.

What is a pre-embedding null test in topological data analysis?

A pre-embedding null test in topological data analysis verifies that null operations are applied to raw data before embedding. This step maintains topological integrity and ensures representation consistency before fitting PCA or UMAP models.

Can I use provisional embeddings for topological data analysis workflows?

Provisional embeddings can be used in topological data analysis workflows but must remain distinct from frozen embeddings. Auditing maintains separate paths to prevent mix-ups and ensures only properly frozen loadings are used for final comparisons.

Does representation freeze auditing work with UMAP and PCA fitting protocols?

Representation freeze auditing works directly with UMAP and PCA fitting protocols by validating the freeze status of embeddings and loadings. It ensures scaler fitting and frozen loadings adhere to specific representation freezing protocols.

What happens if representation consistency is not validated before topological analysis?

Without representation consistency validation, topological analysis risks using mismatched provisional and frozen embeddings. This breaks cross-group comparability and compromises topological integrity due to unverified scaler and loadings states.