No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by graniet · Agent Tool · ★ 365
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is llm safe to install? View the security audit →
LLM Note: This crate name previously belonged to another project. The current implementation represents a new and different library. The previous crate is now archived and will not receive any updates. ref: https://github.com/rustformers/llm LLM is a Rust library that lets you use multiple LLM backends in a single project: OpenAI, Anthropic (Claude), Ollama, DeepSeek, xAI, Phind, Groq, Google, Cohere, Mistral, Hugging Face and ElevenLabs. With a unified API and builder style - similar to the Stripe experience - you can easily create chat, text completion, speak-to-text requests without multiplying structures and crates. Key Features Multi-backend: Manage OpenAI, Anthropic, Ollama, DeepSeek, xAI, Phind, Groq, OpenRouter, Cohere, Elevenlabs and Google through a single entry point. Multi-step chains: Create multi-step chains with different backends at each step. Templates: Use templates to create complex prompts with variables. Builder pattern: Configure your LLM (mod
| Stars | 365 |
| Forks | 90 |
| Language | Rust |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 59.1602062197875/100 |
| Open Issues | 33 |
| Last Updated | 2026-06-06 |
| Created | 2025-01-15 |
| Platforms | claude-code, cli, gemini, rust |
| Est. Tokens | ~123k |
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llm is A powerful Rust library and CLI tool to unify and orchestrate multiple LLM, Agent and voice backends (OpenAI, Claude, Gemini, Ollama, ElevenLabs...) with a single, extensible API. Build, chain, evalua. It is categorized as a Agent Tool with 365 GitHub stars.
llm is primarily written in Rust.
You can find installation instructions and usage details in the llm GitHub repository at github.com/graniet/llm. The project has 365 stars and 90 forks, indicating an active community.
llm is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to llm on Agent Skills Hub include awesome-android-agent-skills, claude-code-skill-factory, agent-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: