How do I install the LLM Models skill?

Run npx skillmds@latest add inference-sh/llm-models in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is LLM Models safe to use?

SkillMD's automated safety review verdict for this skill is CAUTION. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with LLM Models?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is LLM Models free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published LLM Models?

inference.sh (@inference-sh) published this skill. Their other Agent Skills are listed on their SkillMD profile.

LLM Models by inference-sh — Agent Skill

Name: LLM Models
Rating: 4.2 (5 reviews)
Author: inference.sh

File contents

Install the belt CLI skill: npx skills add belt-sh/cli

LLM Models via OpenRouter

Access 100+ language models via inference.sh CLI.

Quick Start

Requires inference.sh CLI (belt). Install instructions

belt login

# Call Claude Sonnet
belt app run openrouter/claude-sonnet-45 --input '{"prompt": "Explain quantum computing"}'

Available Models

Model	App ID	Best For
Claude Opus 4.5	`openrouter/claude-opus-45`	Complex reasoning, coding
Claude Sonnet 4.5	`openrouter/claude-sonnet-45`	Balanced performance
Claude Haiku 4.5	`openrouter/claude-haiku-45`	Fast, economical
Gemini 3 Pro	`openrouter/gemini-3-pro-preview`	Google's latest
Kimi K2 Thinking	`openrouter/kimi-k2-thinking`	Multi-step reasoning
GLM-4.6	`openrouter/glm-46`	Open-source, coding
Intellect 3	`openrouter/intellect-3`	General purpose
Any Model	`openrouter/any-model`	Auto-selects best option

Search LLM Apps

belt app store search "openrouter"
belt app store search "claude"

Examples

Claude Opus (Best Quality)

belt app run openrouter/claude-opus-45 --input '{
  "prompt": "Write a Python function to detect palindromes with comprehensive tests"
}'

Claude Sonnet (Balanced)

belt app run openrouter/claude-sonnet-45 --input '{
  "prompt": "Summarize the key concepts of machine learning"
}'

Claude Haiku (Fast & Cheap)

belt app run openrouter/claude-haiku-45 --input '{
  "prompt": "Translate this to French: Hello, how are you?"
}'

Kimi K2 (Thinking Agent)

belt app run openrouter/kimi-k2-thinking --input '{
  "prompt": "Plan a step-by-step approach to build a web scraper"
}'

Any Model (Auto-Select)

# Automatically picks the most cost-effective model
belt app run openrouter/any-model --input '{
  "prompt": "What is the capital of France?"
}'

With System Prompt

belt app sample openrouter/claude-sonnet-45 --save input.json

# Edit input.json:
# {
#   "system": "You are a helpful coding assistant",
#   "prompt": "How do I read a file in Python?"
# }

belt app run openrouter/claude-sonnet-45 --input input.json

Use Cases

Coding: Generate, review, debug code
Writing: Content, summaries, translations
Analysis: Data interpretation, research
Agents: Build AI-powered workflows
Chat: Conversational interfaces

Related Skills

# Full platform skill (all 250+ apps)
npx skills add inference-sh/skills@infsh-cli

# Web search (combine with LLMs for RAG)
npx skills add inference-sh/skills@web-search

# Image generation
npx skills add inference-sh/skills@ai-image-generation

# Video generation
npx skills add inference-sh/skills@ai-video-generation

Browse all apps: belt app store

Documentation

Agents Overview - Building AI agents
Agent SDK - Programmatic agent control
Building a Research Agent - LLM + search integration guide

---name: llm-modelsdescription: Access 100+ LLMs including Claude, Gemini, Kimi, and GLM via the inference.sh CLI with automatic fallback and cost optimization.---> **Install the belt CLI skill:** `npx skills add belt-sh/cli`# LLM Models via OpenRouterAccess 100+ language models via [inference.sh](https://inference.sh) CLI.![LLM Models via OpenRouter](https://cloud.inference.sh/app/files/u/4mg21r6ta37mpaz6ktzwtt8krr/01kgvftjwhby36trvaj66bwzcf.jpeg)## Quick Start> Requires inference.sh CLI (`belt`). [Install instructions](https://raw.githubusercontent.com/inference-sh/skills/refs/heads/main/cli-install.md)```bashbelt login# Call Claude Sonnetbelt app run openrouter/claude-sonnet-45 --input '{"prompt": "Explain quantum computing"}'```## Available Models| Model | App ID | Best For ||-------|--------|----------|| Claude Opus 4.5 | `openrouter/claude-opus-45` | Complex reasoning, coding || Claude Sonnet 4.5 | `openrouter/claude-sonnet-45` | Balanced performance || Claude Haiku 4.5 | `openrouter/claude-haiku-45` | Fast, economical || Gemini 3 Pro | `openrouter/gemini-3-pro-preview` | Google's latest || Kimi K2 Thinking | `openrouter/kimi-k2-thinking` | Multi-step reasoning || GLM-4.6 | `openrouter/glm-46` | Open-source, coding || Intellect 3 | `openrouter/intellect-3` | General purpose || Any Model | `openrouter/any-model` | Auto-selects best option |## Search LLM Apps```bashbelt app store search "openrouter"belt app store search "claude"```## Examples### Claude Opus (Best Quality)```bashbelt app run openrouter/claude-opus-45 --input '{ "prompt": "Write a Python function to detect palindromes with comprehensive tests"}'```### Claude Sonnet (Balanced)```bashbelt app run openrouter/claude-sonnet-45 --input '{ "prompt": "Summarize the key concepts of machine learning"}'```### Claude Haiku (Fast & Cheap)```bashbelt app run openrouter/claude-haiku-45 --input '{ "prompt": "Translate this to French: Hello, how are you?"}'```### Kimi K2 (Thinking Agent)```bashbelt app run openrouter/kimi-k2-thinking --input '{ "prompt": "Plan a step-by-step approach to build a web scraper"}'```### Any Model (Auto-Select)```bash# Automatically picks the most cost-effective modelbelt app run openrouter/any-model --input '{ "prompt": "What is the capital of France?"}'```### With System Prompt```bashbelt app sample openrouter/claude-sonnet-45 --save input.json# Edit input.json:# {# "system": "You are a helpful coding assistant",# "prompt": "How do I read a file in Python?"# }belt app run openrouter/claude-sonnet-45 --input input.json```## Use Cases- **Coding**: Generate, review, debug code- **Writing**: Content, summaries, translations- **Analysis**: Data interpretation, research- **Agents**: Build AI-powered workflows- **Chat**: Conversational interfaces## Related Skills```bash# Full platform skill (all 250+ apps)npx skills add inference-sh/skills@infsh-cli# Web search (combine with LLMs for RAG)npx skills add inference-sh/skills@web-search# Image generationnpx skills add inference-sh/skills@ai-image-generation# Video generationnpx skills add inference-sh/skills@ai-video-generation```Browse all apps: `belt app store`## Documentation- [Agents Overview](https://inference.sh/docs/concepts/agents) - Building AI agents- [Agent SDK](https://inference.sh/docs/api/agent/overview) - Programmatic agent control- [Building a Research Agent](https://inference.sh/blog/guides/research-agent) - LLM + search integration guide

Frequently asked questions

LLM Models