sv-deploy

Automate deployment of Security Verifiers environments and packages to Prime Intellect Hub and PyPI.

3|Updated Aug 30, 2025
One-click install
npx skills add https://github.com/intertwine/security-verifiers --skill sv-deploy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sv-deploy
Source: https://github.com/intertwine/security-verifiers/tree/main/skills/sv-deploy
Command: npx skills add https://github.com/intertwine/security-verifiers --skill sv-deploy

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the process of deploying Security Verifiers environments and packages, automating tasks like version bumping, building, and publishing to the Prime Intellect Environments Hub and PyPI.

Core Features & Use Cases

  • Environment Deployment: Deploy individual or multiple environments to the Prime Intellect Hub.
  • Package Management: Build wheels for environments and utilities, and publish utilities to PyPI.
  • Version Control: Manage semantic versioning for environments and utilities.
  • Use Case: A developer needs to release a new version of the network-logs environment. They can use this Skill to automatically bump the version, build the package, and deploy it to the Hub with a single command.

Quick Start

Use the sv-deploy skill to deploy the network-logs environment with a patch version bump.

Frequently Asked Questions about sv-deploy

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

FAQPage Schema
How do I automate deployment of Python packages to PyPI and the Prime Intellect Environments Hub?

Automating deployment to PyPI and the Prime Intellect Hub involves managing semantic versioning, building wheels, and publishing utilities using coordinated release scripts that handle version bumping and packaging tasks for environments like network-logs and config-verification.

What is the process for bumping versions and building wheels for Security Verifiers environments?

Bumping versions and building wheels for Security Verifiers environments requires triggering deployment scripts that automatically increment semantic version numbers, compile package wheels for environments and utilities, and prepare them for publishing to the Hub or PyPI.

Does deploying Security Verifiers environments require coordinated releases for shared components?

Yes, deploying Security Verifiers environments requires coordinated releases for shared components like security-verifiers-utils. You must adhere to specific deployment checklists to ensure shared utilities are properly versioned and published before dependent environments are deployed.

Can I deploy multiple environments to the Prime Intellect Hub at the same time?

Yes, you can deploy multiple environments to the Prime Intellect Hub simultaneously. The deployment process supports batching individual or multiple environments, automating the version control and publishing steps needed to push them all to the Hub in a coordinated manner.

What's the best way to manage release checklists for Security Verifiers deployments?

Managing release checklists for Security Verifiers deployments is handled through structured deployment scripts that enforce adherence to required validation steps, ensuring coordinated releases and proper version control before publishing environments and utilities.

Why does publishing security-verifiers-utils to PyPI need to happen before deploying dependent environments?

Publishing security-verifiers-utils to PyPI must happen first because shared components act as dependencies. Coordinated releases ensure the required utility packages are built, versioned, and available before environments like network-logs are deployed to the Hub.