topology-benchmark-review

Validate topological diagrams against published benchmarks and internal validation tables.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps ensure the correctness of topological results by validating them against known benchmarks and internal validation tables.

Core Features & Use Cases

  • Benchmark Validation: Check topological results against published benchmarks and internal validation tables.
  • Sanity Checks: Assess the plausibility of the diagram, counts, and scaling.
  • Metric Direction: Verify the direction of W2/landscape distances.
  • Replication: Confirm results across different eras or cohorts.
  • Use Case: Before using a topological result in a paper or as input, use this Skill to ensure it aligns with external benchmarks.

Quick Start

Use the topology-benchmark-review skill to validate the result of your latest persistent-homology analysis.

Frequently Asked Questions about topology-benchmark-review

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

FAQPage Schema
How do I validate persistence diagrams against published benchmarks?

To validate persistence diagrams, compare your topological results against published benchmarks and internal validation tables to ensure the diagram counts, scaling, and overall plausibility are accurate.

What is the best way to check W2 and landscape distance direction in topological analysis?

Checking W2 and landscape distance direction involves verifying the metric direction against internal validation data to confirm your topological analysis results are plausible and accurately oriented.

When do I need to validate topological results before using them in a paper?

You need to validate topological results before using them in a paper or as input data when you must ensure the persistence diagrams align with external benchmarks and pass internal sanity checks.

Can I use benchmark validation to confirm topological regime detection across different cohorts?

Yes, you can use benchmark validation to confirm topological regime detection results by replicating and checking the persistence diagrams across different eras or cohorts for consistency.

How do I perform sanity checks on persistence diagram counts and scaling?

Performing sanity checks on persistence diagrams requires assessing the plausibility of the diagram counts and scaling by comparing your topological results against established validation tables.