phase-tool-validate

Name: phase-tool-validate
Availability: InStock
Author: stanislavjiricek

Creates and executes a validation pipeline for newly developed tools or paradigms.

6|Updated Mar 8, 2026

Search Tags:#testing #validation #edge cases #pipeline #neuroscience #tool development

Ready to run

npx skills add https://github.com/stanislavjiricek/neuroflow --skill phase-tool-validate

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: phase-tool-validate
Source: https://github.com/stanislavjiricek/neuroflow/tree/main/skills/phase-tool-validate
Command: npx skills add https://github.com/stanislavjiricek/neuroflow --skill phase-tool-validate

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the process of creating and executing a testing pipeline to ensure that a tool or paradigm functions correctly, covering critical aspects like timing, markers, data output, and edge cases.

Core Features & Use Cases

Automated Validation Planning: Generates a validation-plan.md to outline testing procedures.
Comprehensive Testing: Verifies timing accuracy, marker integrity, data output format, and known edge cases.
Objective Reporting: Provides clear pass/fail status and logs any design flaws for iteration.
Use Case: After building a new neuroscience data acquisition tool, use this Skill to automatically create and run tests that confirm its timing is precise, markers are correctly logged, and data output matches the expected format, before deploying it for research.

Quick Start

Run the tool-validate phase for the recently built 'EEG-recorder' tool.

Frequently Asked Questions about phase-tool-validate

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

FAQPage Schema

How do I validate timing accuracy and marker integrity for a new neuroscience data acquisition tool?▼

To validate timing accuracy and marker integrity, you need a testing pipeline that checks data output formats and edge cases objectively. This process generates a validation plan, executes tests, and logs design flaws for iterative improvement before deployment.

What is the best way to create an automated validation plan for paradigm testing?▼

The best way to create an automated validation plan is to generate a structured markdown document outlining testing procedures. This plan should comprehensively cover timing accuracy, marker integrity, data output format verification, and known edge cases.

How do I test edge cases in a newly developed neuroscience tool pipeline?▼

To test edge cases in a neuroscience tool pipeline, execute a comprehensive testing phase that verifies data output formats and timing under boundary conditions. The pipeline objectively reports pass or fail status and logs any design flaws for iterative improvement.

Can I use automated testing to verify data output format and marker integrity before deploying research tools?▼

Yes, you can use automated testing to verify data output format and marker integrity before deployment. The validation pipeline confirms timing precision, checks marker logging, and ensures data output matches expected formats for research.

What should be included in a validation phase for neuroscience tool development?▼

A validation phase for neuroscience tool development should include timing accuracy verification, marker integrity checks, data output format validation, and edge case testing. It must objectively report results and log design flaws to guide iterative improvement.

Why does my neuroscience data acquisition tool fail validation on timing accuracy and edge cases?▼

Your neuroscience tool fails validation when the testing pipeline detects timing inaccuracies, marker integrity issues, or unexpected edge cases. The validation process logs these specific design flaws objectively, providing actionable feedback for iterative improvement.