MCP.Market

inference-sh-cli skill

by NousResearch·NousResearch/hermes-agent·263k stars·MIT

Run 150+ AI apps (image, video, LLM) via inference.sh CLI.

F10/100content scan

Is the inference-sh-cli skill safe?

A critical finding: do not install it without reading the flagged line. We read 5 files in the folder on 2026-10-25.

  • highSKILL.md:40

    Downloads a script and runs it in one step, so what runs is whatever that server sends that day. Common for installers, and still worth a look at the address.

    curl -fsSL https://cli.inference.sh | sh
  • highreferences/authentication.md:6

    Downloads a script and runs it in one step, so what runs is whatever that server sends that day. Common for installers, and still worth a look at the address.

    curl -fsSL https://cli.inference.sh | sh
  • highreferences/cli-reference.md:6

    Downloads a script and runs it in one step, so what runs is whatever that server sends that day. Common for installers, and still worth a look at the address.

    curl -fsSL https://cli.inference.sh | sh

Install the inference-sh-cli skill

A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description. Read the findings above first.

git clone --depth 1 https://github.com/NousResearch/hermes-agent.git /tmp/hermes-agent
mkdir -p ~/.claude/skills
cp -r /tmp/hermes-agent/optional-skills/devops/inference-sh-cli ~/.claude/skills/inference-sh-cli
available in every project

In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub

The instructions your agent would load

SKILL.md as published, without the frontmatter. Read it on GitHub

inference.sh CLI

Run 150+ AI apps in the cloud with a simple CLI. No GPU required.

All commands use the terminal tool to run infsh commands.

When to Use

  • User asks to generate images (FLUX, Reve, Seedream, Grok, Gemini image)
  • User asks to generate video (Veo, Wan, Seedance, OmniHuman)
  • User asks about inference.sh or infsh
  • User wants to run AI apps without managing individual provider APIs
  • User asks for AI-powered search (Tavily, Exa)
  • User needs avatar/lipsync generation

Prerequisites

The infsh CLI must be installed and authenticated. Check with:

infsh me

If not installed:

curl -fsSL https://cli.inference.sh | sh
infsh login

See references/authentication.md for full setup details.

Workflow

1. Always Search First

Never guess app names — always search to find the correct app ID:

infsh app list --search flux
infsh app list --search video
infsh app list --search image

2. Run an App

Use the exact app ID from the search results. Always use --json for machine-readable output:

infsh app run <app-id> --input '{"prompt": "your prompt here"}' --json

3. Parse the Output

The JSON output contains URLs to generated media. Present these to the user with MEDIA: for inline display.

Common Commands

Image Generation

# Search for image apps
infsh app list --search image

# FLUX Dev with LoRA
infsh app run falai/flux-dev-lora --input '{"prompt": "sunset over mountains", "num_images": 1}' --json

# Gemini image generation
infsh app run google/gemini-2-5-flash-image --input '{"prompt": "futuristic city", "num_images": 1}' --json

# Seedream (ByteDance)
infsh app run bytedance/seedream-5-lite --input '{"prompt": "nature scene"}' --json

# Grok Imagine (xAI)
infsh app run xai/grok-imagine-image --input '{"prompt": "abstract art"}' --json

Video Generation

# Search for video apps
infsh app list --search video

# Veo 3.1 (Google)
infsh app run google/veo-3-1-fast --input '{"prompt": "drone shot of coastline"}' --json

# Seedance (ByteDance)
infsh app run bytedance/seedance-1-5-pro --input '{"prompt": "dancing figure", "resolution": "1080p"}' --json

# Wan 2.5
infsh app run falai/wan-2-5 --input '{"prompt": "person walking through city"}' --json

Local File Uploads

The CLI automatically uploads local files when you provide a path:

# Upscale a local image
infsh app run falai/topaz-image-upscaler --input '{"image": "/path/to/photo.jpg", "upscale_factor": 2}' --json

# Image-to-video from local file
infsh app run falai/wan-2-5-i2v --input '{"image": "/path/to/image.png", "prompt": "make it move"}' --json

# Avatar with audio
infsh app run bytedance/omnihuman-1-5 --input '{"audio": "/path/to/audio.mp3", "image": "/path/to/face.jpg"}' --json

Search & Research

infsh app list --search search
infsh app run tavily/tavily-search --input '{"query": "latest AI news"}' --json
infsh app run exa/exa-search --input '{"query": "machine learning papers"}' --json

Other Categories

# 3D generation
infsh app list --search 3d

# Audio / TTS
infsh app list --search tts

# Twitter/X automation
infsh app list --search twitter

Pitfalls

  1. Never guess app IDs — always run infsh app list --search first. App IDs change and new apps are added frequently.
  2. Always use --json — raw output is hard to parse. The --json flag gives structured output with URLs.
  3. Check authentication — if commands fail with auth errors, run infsh login or verify INFSHAPIKEY is set.
  4. Long-running apps — video generation can take 30-120 seconds. The terminal tool timeout should be sufficient, but warn the user it may take a moment.
  5. Input format — the --input flag takes a JSON string. Make sure to properly escape quotes.

Reference Docs

  • references/authentication.md — Setup, login, API keys
  • references/app-discovery.md — Searching and browsing the app catalog
  • references/running-apps.md — Running apps, input formats, output handling
  • references/cli-reference.md — Complete CLI command reference

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