Agent skill

LLM Models

by majiayu000 in majiayu000/claude-skill-registry

Access Claude, Gemini, Kimi, GLM and 100+ LLMs via inference.sh CLI using OpenRouter.

MITAuto-check passedAI & LLM Engineering

Install LLM Models

skills CLI
$ npx skills add majiayu000/claude-skill-registry --skill llm-models -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install majiayu000/claude-skill-registry llm-models --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-llm/llm-models .claude/skills/llm-models && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
llm-models
GitHub stars
666
Used in
1 other repo
Token cost
~992 tokens
SKILL.md length
155 words
Files
2
Skills in repo
1,273
Repo updated
First seen
Licence
MIT

At a glance

Access Claude, Gemini, Kimi, GLM and 100+ LLMs via inference.sh CLI using OpenRouter.

  • : AI assistants
  • SKILL.md covers Quick Start, Available Models, Search LLM Apps and Examples, plus 3 more sections
  • Calls npx
  • Code generation

What it does

LLM Models is an agent skill from majiayu000/claude-skill-registry. Access Claude, Gemini, Kimi, GLM and 100+ LLMs via inference.sh CLI using OpenRouter. Models: Claude Opus 4.5, Claude Sonnet 4.5, Claude Haiku 4.5, Gemini 3 Pro, Kimi K2, GLM-4.6, Intellect 3. One API for all models with automatic fallback and cost optimization. Use for: AI assistants, code generation, reasoning, agents, chat, content generation. Triggers: claude api, openrouter, llm api, claude sonnet, claude opus, gemini api, kimi, language model, gpt alternative, anthropic api, ai model api, llm access, chat…

Its SKILL.md is about 990 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `metadata.json`).

It sits in AI & LLM Engineering, covering LLM API integration and Model routing and gateways. It works with Kimi, OpenRouter, Anthropic API and Zhipu GLM. The repository describes itself as: Searchable Claude Code skills catalog with source-linked guides and generated registry artifacts. The licence is MIT.

When your agent uses it

  • : AI assistants
  • Code generation
  • Content generation

Example prompts

  • “/llm-models”

Requirements

  • Python 3
  • Node.js
  • Pre-approved tools (allowed-tools): Bash(infsh *)

What it can do on your machine

Read from SKILL.md and the folder at commit 2d14a69. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash(infsh *)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • inference.sh
    • cloud.inference.sh

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

LLM Models loads about 992 tokens when it runs. Until then it costs about 143 tokens; SKILL.md has 155 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~143
When it runs · the whole SKILL.md, loaded when a task matches
~992

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from majiayu000/claude-skill-registry at commit 2d14a69, republished under its MIT licence (© majiayu000). 155 words, ~992 tokens.

Download SKILL.mdSave it as .claude/skills/llm-models/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
llm-models
description
Access Claude, Gemini, Kimi, GLM and 100+ LLMs via inference.sh CLI using OpenRouter. Models: Claude Opus 4.5, Claude Sonnet 4.5, Claude Haiku 4.5, Gemini 3 Pro, Kimi K2, GLM-4.6, Intellect 3. One API for all models with automatic fallback and cost optimization. Use for: AI assistants, code generation, reasoning, agents, chat, content generation. Triggers: claude api, openrouter, llm api, claude sonnet, claude opus, gemini api, kimi, language model, gpt alternative, anthropic api, ai model api, llm access, chat api, claude alternative, openai alternative
allowed-tools
Bash(infsh *)

LLM Models via OpenRouter

Access 100+ language models via inference.sh CLI.

Image: LLM Models via OpenRouter

Quick Start

Requires inference.sh CLI (infsh). Get installation instructions: npx skills add inference-sh/skills@agent-tools

bash
infsh login

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

Available Models

ModelApp IDBest For
Claude Opus 4.5openrouter/claude-opus-45Complex reasoning, coding
Claude Sonnet 4.5openrouter/claude-sonnet-45Balanced performance
Claude Haiku 4.5openrouter/claude-haiku-45Fast, economical
Gemini 3 Proopenrouter/gemini-3-pro-previewGoogle's latest
Kimi K2 Thinkingopenrouter/kimi-k2-thinkingMulti-step reasoning
GLM-4.6openrouter/glm-46Open-source, coding
Intellect 3openrouter/intellect-3General purpose
Any Modelopenrouter/any-modelAuto-selects best option

Search LLM Apps

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

Examples

Claude Opus (Best Quality)
bash
infsh app run openrouter/claude-opus-45 --input '{
  "prompt": "Write a Python function to detect palindromes with comprehensive tests"
}'
Claude Sonnet (Balanced)
bash
infsh app run openrouter/claude-sonnet-45 --input '{
  "prompt": "Summarize the key concepts of machine learning"
}'
Claude Haiku (Fast & Cheap)
bash
infsh app run openrouter/claude-haiku-45 --input '{
  "prompt": "Translate this to French: Hello, how are you?"
}'
Kimi K2 (Thinking Agent)
bash
infsh 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 model
infsh app run openrouter/any-model --input '{
  "prompt": "What is the capital of France?"
}'
With System Prompt
bash
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
bash
# Full platform skill (all 150+ apps)
npx skills add inference-sh/skills@agent-tools

# 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

© majiayu000, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/ai-llm/llm-models of majiayu000/claude-skill-registry.

  • SKILL.md
  • metadata.json

Open the folder on GitHubat commit 2d14a69

Used in 1 other repository

We found 8 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in majiayu000/claude-skill-registry, which our catalogue first saw on October 7, 2026.

Compare with similar skills

LLM Models next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

LLM Models compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
LLM Models this skillmajiayu000/claude-skill-registry6661 repos~992Automated safety check: PassMIT
Using Ccproxy Inspectorstarbaser/ccproxy350—~2.7kAutomated safety check: PassCustom licence
Using Ccproxy APIstarbaser/ccproxy350—~4kAutomated safety check: PassCustom licence
Provider Integrationhex/claude-council848—~635Automated safety check: PassMIT
Neon AI Gatewayneondatabase/agent-skills100—~5.1kAutomated safety check: NotesApache-2.0
ModLens Image Vision Bridgeliustack/modlens4.2k1 repos~1.3kAutomated safety check: NotesMIT

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Questions about LLM Models

What does LLM Models do?

Access Claude, Gemini, Kimi, GLM and 100+ LLMs via inference.sh CLI using OpenRouter. LLM Models is an agent skill from majiayu000/claude-skill-registry.sh CLI using OpenRouter.

When should I use LLM Models?

LLM Models fits situations like: : AI assistants; code generation; content generation.

How do I install LLM Models in Claude Code?

Run `npx skills add majiayu000/claude-skill-registry --skill llm-models -a claude-code`. Or copy the skill folder (skills/ai-llm/llm-models in majiayu000/claude-skill-registry) into .claude/skills/llm-models in your project. Claude Code loads it when a task matches its description.

How do I install LLM Models in Codex?

Run `npx skills add majiayu000/claude-skill-registry --skill llm-models -a codex`. Or copy the skill folder (skills/ai-llm/llm-models in majiayu000/claude-skill-registry) into .agents/skills/llm-models in your project. Codex loads it when a task matches its description.

Can I use LLM Models in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add majiayu000/claude-skill-registry --skill llm-models -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/llm-models, .gemini/skills/llm-models, .github/skills/llm-models and .opencode/skills/llm-models in your project.

What does LLM Models need to run?

Going by SKILL.md and its folder, LLM Models needs the command-line tools its instructions call (npx). Our summary lists: Python 3; Node.js. Its frontmatter pre-approves these tools: Bash(infsh *).

Does LLM Models access the network?

SKILL.md names 2 domains. As links in the text: inference.sh and cloud.inference.sh. This is read from the text; nothing was executed.

Is LLM Models safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does LLM Models use?

LLM Models is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does LLM Models use?

About 992 tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to LLM Models?

Skills that share tags, products or a category with LLM Models: Using Ccproxy Inspector (starbaser/ccproxy, 350 stars), Using Ccproxy API (starbaser/ccproxy, 350 stars), Provider Integration (hex/claude-council, 848 stars) and Neon AI Gateway (neondatabase/agent-skills, 100 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains LLM Models?

majiayu000 (a GitHub user) maintains it in majiayu000/claude-skill-registry, which has 666 GitHub stars. The repository holds 1,273 skills in this directory. The repository was last updated on October 7, 2026.

Source: majiayu000/claude-skill-registry on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.