LLM is a Python CLI tool and library by Simon Willison for accessing OpenAI, Anthropic Claude, Google Gemini, Meta Llama, and dozens of other language models from the terminal. It supports API-based and local models via plugins, conversation logging to SQLite, templates, embeddings, and tool use.
Scanned 9/12/2026
Install to Claude Code
npx -y skills add aibot88/sec_skill_store --skill llm-command-line-interface-large-language-models --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Llm Command Line Interface Large Language Models?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/aibot88-llm-command-line-interface-large-language-models)More formats (shields.io, HTML) on the badges page.
---
title: "LLM Command-Line Interface for Large Language Models"
description: "LLM is a Python CLI tool and library by Simon Willison for accessing OpenAI, Anthropic Claude, Google Gemini, Meta Llama, and dozens of other language models from the terminal. It supports API-based and local models via plugins, conversation logging to SQLite, templates, embeddings, and tool use."
verification: "security_reviewed"
source: "https://github.com/simonw/llm"
category:
- "Developer Tools"
framework:
- "Multi-Framework"
tool_ecosystem:
github_repo: "simonw/llm"
github_stars: 11508
---
# LLM Command-Line Interface for Large Language Models
LLM is a Python CLI tool and library by Simon Willison for accessing OpenAI, Anthropic Claude, Google Gemini, Meta Llama, and dozens of other language models from the terminal. It supports API-based and local models via plugins, conversation logging to SQLite, templates, embeddings, and tool use.
## Installation
Choose whichever fits your setup:
1. Copy this skill folder into your local skills directory.
2. Clone the repo and symlink or copy the skill into your agent workspace.
3. Add the repo as a git submodule if you manage shared skills centrally.
4. Install it through your internal provisioning or packaging workflow.
5. Download the folder directly from GitHub and place it in your skills collection.
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/llm-command-line-interface-large-language-models/)
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!