inference-sh-cli

Automate cloud-based AI app execution via the infsh CLI.

1|Updated Mar 22, 2026
One-click install
npx skills add https://github.com/nelohenriq/hermes-agent-plus --skill inference-sh-cli-nelohenriq
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: inference-sh-cli
Source: https://github.com/nelohenriq/hermes-agent-plus/tree/main/skills/inference-sh/cli
Command: npx skills add https://github.com/nelohenriq/hermes-agent-plus --skill inference-sh-cli-nelohenriq

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill unifies access to 150+ AI apps behind a single CLI, eliminating the complexity of managing multiple provider APIs and GPU environments.

Core Features & Use Cases

  • Unified CLI to search, discover, and run AI apps across providers.
  • View app details, generate sample inputs, and execute jobs with structured outputs.
  • Use cases include rapid prototyping, automation workflows, and multi-provider experimentation.

Quick Start

Install the inference.sh CLI, login, and start running apps with infsh app run using app IDs.

Frequently Asked Questions about inference-sh-cli

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

FAQPage Schema
How do I run multiple AI apps from different providers using a single CLI?▼

You can run multiple AI apps from different providers using a single CLI by installing the inference.sh CLI. It unifies access to 150+ cloud-based AI apps, allowing you to discover and execute jobs across image, video, and text tasks without managing multiple provider APIs.

What is the best way to automate cloud-based AI app execution?▼

Automating cloud-based AI app execution is best handled through a unified CLI that supports parameterized runs and task tracking. This approach eliminates the complexity of managing separate GPU environments by routing jobs through a single interface using infsh app run commands.

Can I get structured JSON outputs from CLI automation workflows?▼

Yes, you can get structured JSON outputs from CLI automation workflows. The CLI automatically structures the outputs of your parameterized AI app runs, ensuring that data from multi-provider image, video, and text tasks is consistently formatted for downstream processing.

Do I need to install specific prerequisites to use a unified AI CLI?▼

You need to install the inference.sh CLI prerequisites and complete a login process before executing apps. Once set up, you can immediately search for app IDs, generate sample inputs, and run multi-provider AI workloads directly from your terminal.

How does task tracking work for multi-provider AI workflows?▼

Task tracking for multi-provider AI workflows is managed through the infsh command interface. It monitors the execution of parameterized runs across different providers, handling errors and ensuring that your cloud-based image, video, and text tasks complete successfully.

Why does managing multiple provider APIs create complexity for AI prototyping?▼

Managing multiple provider APIs creates complexity for AI prototyping because it requires configuring separate GPU environments and handling inconsistent interfaces. A unified CLI solves this by standardizing app discovery and execution across 150+ AI apps behind a single command structure.