AI/ML

llm-models

inferen-sh/skills · updated Apr 8, 2026

$npx skills add https://github.com/inferen-sh/skills --skill llm-models
summary

Access 100+ language models including Claude, Gemini, Kimi, and GLM via OpenRouter.

  • Supports Claude Opus 4.5, Sonnet 4.5, and Haiku 4.5 for varying performance and cost tradeoffs, plus Gemini 3 Pro, Kimi K2 Thinking, GLM-4.6, and Intellect 3
  • Auto-select mode picks the most cost-effective model automatically for your use case
  • Designed for code generation, reasoning, content creation, data analysis, and building AI agent workflows
  • Requires inference.sh CLI ( infsh ) and API authenti
skill.md

LLM Models via OpenRouter

Access 100+ language models via inference.sh CLI.

LLM Models via OpenRouter

Quick Start

Requires inference.sh CLI (infsh). Install instructions

infsh login

# Call Claude Sonnet
infsh 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

infsh app list --search "openrouter"
infsh app list --search "claude"

Examples

Claude Opus (Best Quality)

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

Claude Sonnet (Balanced)

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

Claude Haiku (Fast & Cheap)

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

Kimi K2 (Thinking Agent)

infsh 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
infsh app run openrouter/any-model --input '{
  "prompt": "What is the capital of France?"
}'

With System Prompt

infsh 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?"
# }

infsh 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 150+ 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: infsh app list

Documentation

general reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    llm-models is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Piyush G· Sep 9, 2024

    Keeps context tight: llm-models is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Chaitanya Patil· Aug 8, 2024

    Registry listing for llm-models matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sakshi Patil· Jul 7, 2024

    llm-models reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Ganesh Mohane· Jun 6, 2024

    I recommend llm-models for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Oshnikdeep· May 5, 2024

    Useful defaults in llm-models — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Dhruvi Jain· Apr 4, 2024

    llm-models has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Rahul Santra· Mar 3, 2024

    Solid pick for teams standardizing on skills: llm-models is focused, and the summary matches what you get after install.

  • Pratham Ware· Feb 2, 2024

    We added llm-models from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Yash Thakker· Jan 1, 2024

    llm-models fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.