phase-000-env-check

Validate Python, pip, venv, and MATLAB for the math modeling pipeline.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/SOGERSEN/math-modeling-pipeline --skill phase-000-env-check
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: phase-000-env-check
Source: https://github.com/SOGERSEN/math-modeling-pipeline/tree/main/phases/phase-000
Command: npx skills add https://github.com/SOGERSEN/math-modeling-pipeline --skill phase-000-env-check

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Phase 000 Environment Check & Tool Installation automates the validation and provisioning of all required tools and dependencies for the math modeling pipeline, ensuring a consistent, ready-to-run environment across machines.

Core Features & Use Cases

  • Environment verification: checks Python, pip, and venv availability, and suggests installation steps when missing.
  • MATLAB path discovery: locates MATLAB when available and provides guidance to connect or fallback if not installed.
  • Script & reference integrity: validates presence of essential scripts and reference docs to guarantee downstream phase reliability.
  • Environment reporting: generates ENV_CHECK_REPORT.md and emits a marker to skip redundant checks on future runs.

Quick Start

Run Phase 000 to perform environment checks and generate ENV_CHECK_REPORT.md in the skill directory.

Frequently Asked Questions about phase-000-env-check

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

FAQPage Schema
How do I verify Python and pip are installed for my modeling environment?

To verify your modeling environment, this Skill checks Python, pip, and venv availability, suggesting installation steps when missing to ensure your runtime is error-free. It validates prerequisites before generating an environment readiness report.

What is the best way to automate environment setup for a Python modeling pipeline?

Automating environment setup for a modeling pipeline is achieved by validating dependencies, discovering optional MATLAB paths, and checking document tooling readiness. This Skill enforces prerequisites and generates a report marking completion to skip redundant checks on subsequent runs.

Do I need MATLAB installed to run the math modeling pipeline?

MATLAB is not strictly required to run the math modeling pipeline. The Skill performs optional MATLAB path discovery and provides guidance to connect when available, or fallback instructions if it is not installed on your machine.

How does environment verification handle missing scripts or reference files?

Environment verification validates the presence of essential scripts and reference docs to guarantee downstream phase reliability. If required files are missing, it enforces environmental prerequisites to prevent errors before generating the final readiness report.

Can I skip redundant dependency checks on subsequent pipeline runs?

You can skip redundant dependency checks because the Skill generates an ENV_CHECK_REPORT.md and emits a completion marker. This marker enforces skipping re-checks on subsequent runs, ensuring consistent environments across machines without repeating validations.

Why does my pipeline fail before reaching the modeling phases?

Your pipeline fails before modeling phases if environmental prerequisites are missing or unverified. This Skill prevents downstream failures by validating Python, pip, venv, and required scripts upfront, generating a readiness report to confirm an error-free runtime.