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 PetroIvaniuk · LLM Plugin · ★ 327
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is llms-tools safe to install? View the security audit →
LLMs Tools & Research Projects The repository contains a list of ready-to-use AI Tools, Open Sources, and Research Projects \ Apart from LLMs, you can find here new AI research from other areas such as Computer Vision, etc.\ Welcome to contribute. Nobel Prize The Nobel Prize in Physics 2024 was awarded to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks”. The Nobel Prize in Chemistry 2024 was awarded with one half to David Baker “for computational protein design” and the other half jointly to Demis Hassabis and John M. Jumper “for protein structure prediction”. Jürgen Schmidhuber's Post: The NobelPrizeinPhysics2024 for Hopfield & Hinton rewards plagiarism and incorrect attribution in computer science Turing Award TURING AWARD in 2025 was recognized Andrew Barto and Richard Sutton as Pioneers of Reinforcement Learning Large Language Models (LLMs) and Chatbots Courses [ is an open-source, cloud-native runtime for agentic AI. Secure, modular,
A set of tools that gives agents powerful capabilities.
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llms-tools is A list of LLMs Tools & Projects. It is categorized as a LLM Plugin with 327 GitHub stars.
You can find installation instructions and usage details in the llms-tools GitHub repository at github.com/PetroIvaniuk/llms-tools. The project has 327 stars and 51 forks, indicating an active community.
llms-tools is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to llms-tools on Agent Skills Hub include free-ai-resources-x, Awesome-LLM-Eval, cai. 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.
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