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 arinbjornk · Agent Tool · ★ 67
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is llmtop safe to install? View the security audit →
llmtop is an intelligent system monitoring tool that combines real-time system metrics with LLM-powered insights. It provides a dynamic terminal interface showing system performance metrics enhanced with AI-driven analysis. Note: This project is currently in beta testing. Features and interfaces may change. Features Real-time system metrics monitoring (CPU, Memory, Disk, Network) Process monitoring with resource usage AI-powered system analysis using either OpenAI or Ollama Smart alerting system for resource thresholds Dynamic terminal UI with auto-updating metrics Installation Install directly from PyPI: LLM Backend Options llmtop supports two LLM backends for system analysis: OpenAI (GPT-4o mini) Set your OpenAI API key: Run with OpenAI: Ollama with Llama 3.2 3B (Default) Install Ollama from ollama.ai Start the Ollama service Run llmtop: Command Line Options Usage Tips
| Stars | 67 |
| Forks | 9 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 74.1449725225483/100 |
| Open Issues | 3 |
| Last Updated | 2025-12-23 |
| Created | 2024-12-23 |
| Platforms | python |
| Est. Tokens | ~93k |
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llmtop is A system monitoring tool powered by LLMs that provides real-time insights about your system's performance. It is categorized as a Agent Tool with 67 GitHub stars.
llmtop is primarily written in Python. It covers topics such as ai-tools, gputil, ollama.
You can find installation instructions and usage details in the llmtop GitHub repository at github.com/arinbjornk/llmtop. The project has 67 stars and 9 forks, indicating an active community.
llmtop is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to llmtop on Agent Skills Hub include toktrack, AgentForge, mcp-server. 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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