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inference-sh-cli

Orchestrate inference.sh AI apps via a unified CLI with JSON outputs.

2|Updated Mar 26, 2026
Search Tags:#automation#cli#image-generation#video-generation#app-discovery#ai-apps
One-click install
npx skills add https://github.com/CUexter/hermes-agent --skill inference-sh-cli-cuexter
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: inference-sh-cli
Source: https://github.com/CUexter/hermes-agent/tree/main/skills/inference-sh/cli
Command: npx skills add https://github.com/CUexter/hermes-agent --skill inference-sh-cli-cuexter

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Users need a single, unified CLI to access and execute a large catalog of inference.sh AI apps without managing multiple provider endpoints or API keys.

Core Features & Use Cases

  • Unified CLI access: Browse, search, and launch AI apps from inference.sh with consistent commands.
  • Input flexibility: Accept inline JSON or file-based inputs for diverse apps and data formats.
  • Output handling: Return machine-readable results with URLs or metadata for downstream processing.
  • Use Case: Orchestrate multimodal tasks such as image generation, video generation, and research queries across cloud or local environments.

Quick Start

Run a sample app using the CLI with a given app ID and optional JSON input to see results.

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 image and video generation apps from a single CLI?▼

You can access 150+ AI apps for image and video generation using a unified CLI. It orchestrates app discovery, input handling, and result retrieval with consistent commands, returning JSON outputs for downstream processing.

What is the best way to automate AI app workflows across cloud and local environments?▼

Automating AI workflows across cloud and local environments is streamlined through a single CLI. It handles input flexibility, run orchestration, and status tracking for diverse multimodal tasks without managing multiple provider endpoints.

Can I use inline JSON and local files for AI app inputs?▼

Yes, the CLI accepts both inline JSON and file-based inputs for diverse apps and data formats. This input flexibility supports optional local file uploads, allowing you to handle varied data structures for multimodal tasks.

Does the inference-sh CLI return machine-readable JSON outputs?▼

Yes, the inference-sh CLI returns machine-readable results containing URLs or metadata. This output handling format ensures seamless integration with downstream processing, automation workflows, and status tracking for executed AI apps.

Do I need multiple API keys to access different AI generation models?▼

No, you do not need to manage multiple provider endpoints or API keys. The unified CLI provides access to a broad catalog of inference.sh AI apps, streamlining authentication and execution for image generation, video generation, and search tasks.

How do I browse and discover available AI apps before running a generation task?▼

You can browse, search, and launch AI apps directly from the CLI. The app discovery feature allows you to explore the catalog of 150+ apps, ensuring you find the correct app ID before executing your generation or research queries.

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