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⚙ Needs: an inference.sh account with billing enabled (model…

LLM Models — access 100+ language models via inference.sh (short listing)

💳 Paid API — short listing (license not verifiable): call Claude, Gemini, Kimi, GLM and 100+ LLMs through the inference.sh belt CLI (OpenRouter) — one API for all models with automatic fallback, example commands for coding, writing, and agents

At a glance
What
💳 Paid API — short listing (license not verifiable): call Claude, Gemini, Kimi, GLM and 100+ LLMs through the inference.sh belt CLI (OpenRouter) — one API for all models with automatic fallback, example commands for coding, writing, and agents
Cost
Free
Needs
an inference.sh account with billing enabled (model calls consume billed usage — check pricing); the belt CLI installed (see the repo's cli-install.md)
Install
Copy the installer prompt below into your Muse — your agent does the rest.

Version:

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Created by: @inference-sh
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Install

Prerequisites: an inference.sh account with billing enabled (model calls consume billed usage — check pricing); the belt CLI installed (see the repo's cli-install.md) Install "LLM Models — access 100+ language models via inference.sh (short listing)" for me. It gives my agent @inference-sh's LLM model access workflow: call 100+ models through the belt CLI over OpenRouter (Claude Opus/Sonnet/Haiku 4.5, Gemini 3 Pro, Kimi K2, GLM-4.6, any-model auto-select) with example commands for coding, writing, analysis, and agents, system-prompt workflows, and automatic fallback. IMPORTANT: the license terms were not verifiable (the discovery manifest records no license) — fetch from the link only, reproduce nothing beyond the link, and read the terms yourself before use. Repository: https://github.com/inference-sh/skills/blob/main/tools/llm/llm-models/SKILL.md 1. Fetch the SKILL.md file (and any helper files) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code — my inference.sh credentials must never be pasted here. Verify that holds; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "llm-models". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. install the belt CLI, run belt login, confirm the model table is current, check per-model pricing). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.

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Questions

How do I install a build?

Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you — no manual configuration.

Where does my money go?

Straight to the seller. Skill Harbor never processes payments: checkout happens on the seller’s own page, usually Stripe.

What does the ✓ next to a creator’s name mean?

It means we confirmed the identity of the person behind the listing. It says nothing about the code itself — always check a build before installing it.