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 unslothai · Agent Tool · ★ 77.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is unsloth safe to install? View the security audit →
Run and train AI models with a unified local interface. Features • Quickstart • Notebooks • Documentation • Discord Unsloth Studio (Beta) lets you run and train text, audio, embedding, vision models on Windows, Linux and macOS.
| Stars | 77,160 |
| Forks | 7,096 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 61.4559923314942/100 |
| Open Issues | 1141 |
| Last Updated | 2026-10-03 |
| Created | 2023-11-29 |
| Platforms | python |
| Est. Tokens | ~17k |
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unsloth is Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.. It is categorized as a Agent Tool with 77.2k GitHub stars.
unsloth is primarily written in Python. It covers topics such as agent, ai, chatgpt.
You can find installation instructions and usage details in the unsloth GitHub repository at github.com/unslothai/unsloth. The project has 77.2k stars and 7096 forks, indicating an active community.
unsloth is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to unsloth on Agent Skills Hub include OpenMontage, AstrBot, ollama. 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: