by PetroIvaniuk · LLM Plugin · ★ 329
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 329 |
| Forks | 61 |
| Category | LLM Plugin |
| License | Apache-2.0 |
| Quality Score | 51/100 |
| Last Updated | 2026-10-25 |
| Created | 2023-05-09 |
| Est. Tokens | ~28k |
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.
Looking for a llms-tools alternative? If you're comparing llms-tools with other llm plugin tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
🌟 A curated collection of free, high quality AI tools 🤖, APIs 🔗, datasets 📊, and learning resources 📚 cov
Awesome-LLM-Eval: a curated list of tools, datasets/benchmark, demos, leaderboard, papers, docs and models, ma
User friendly CLI tool for AI tasks. Stop thinking about LLMs and prompts, start getting results!
A powerful tool for automated LLM fuzzing. It is designed to help developers and security researchers identify
A set of tools that gives agents powerful capabilities.
The SmythOS Runtime Environment (SRE) is an open-source, cloud-native runtime for agentic AI. Secure, modular,
Explore other popular llm plugin tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: