Install DataSurface Python Module

Install the DataSurface Python package from a GitLab PyPI registry using pip.

1|Updated Feb 6, 2026

Search Tags:#pip #python #pypi #credentials #gitlab #install #datasurface

One-click install

npx skills add https://github.com/billynewport/demo_cokub_model --skill install-datasurface-python-module

Or copy as Structured Prompt for Agent▼

Please help me install this Agent Skill.
Skill: Install DataSurface Python Module
Source: https://github.com/billynewport/demo_cokub_model/tree/main/.claude/skills/install-datasurface-python
Command: npx skills add https://github.com/billynewport/demo_cokub_model --skill install-datasurface-python-module

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps developers install the DataSurface Python package from a private GitLab PyPI registry, enabling controlled access to package versions in CI/CD workflows.

Core Features & Use Cases

Private registry installation: Install datasurface from GitLab's PyPI registry using deploy tokens.
Version control: Support latest and specific versions via environment variables.
Verification: Validate installation by querying the installed package version.

Quick Start

Configure credentials via environment variables and run pip install with the GitLab registry index URL to install the package.

Frequently Asked Questions about Install DataSurface Python Module

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

FAQPage Schema

How do I install a Python package from a private GitLab PyPI registry using pip?▼

To install a Python package from a private GitLab PyPI registry, run pip install with the GitLab package index URL and authenticate using deploy-token credentials configured as environment variables.

What credentials do I need to install datasurface from GitLab PyPI?▼

You need to configure the DATASURFACE_USER and DATASURFACE_TOKEN environment variables with your deploy-token credentials to authenticate and install the datasurface package from GitLab PyPI.

Can I install a specific version of datasurface or do I only get the latest release?▼

You can install both the latest release and specific versions of datasurface by controlling the version constraint via environment variables during your pip install execution.

Does installing datasurface from GitLab PyPI require a specific Python version?▼

Yes, installing datasurface from GitLab PyPI enforces a prerequisite requiring Python version 3.12 or higher to ensure compatibility with the package environment.

How can I verify that the datasurface Python package installed correctly?▼

You can verify the datasurface installation by querying the installed package version in your Python environment to confirm the package is ready for use in your CI/CD workflows.

Why use a deploy token for installing Python packages in CI/CD workflows?▼

Using a deploy token for installing Python packages in CI/CD workflows provides controlled access to private GitLab PyPI registries, ensuring secure and automated package retrieval without exposing user credentials.