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 →
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is falcon-eye safe to install? View the security audit →
falcon-eye ========== linux monitor tool. an agent running on your host collect and display performance data. just like https://github.com/afaqurk/linux-dash compile update we move to falcon-agent
| Stars | 195 |
| Forks | 69 |
| Language | CSS |
| Category | AI Tool |
| License | MIT |
| Quality Score | 44.1221758345027/100 |
| Last Updated | 2022-05-14 |
| Created | 2014-04-02 |
| Est. Tokens | ~255k |
Looking for a falcon-eye alternative? If you're comparing falcon-eye with other ai tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
A tool to make socks connections through HTTP agents
Open-source AI research assistant for biomedicine — chat to run RNA-seq, drug discovery, clinical analysis, an
SciToolAgent: A Knowledge Graph-Driven Scientific Agent for Multi-Tool Integration
Skip to content github / docs Code Issues 80 Pull requests 35 Discussions Actions Projects 2 Security Insights
Skill to talk to Claude about your projects over the phone
.NET MAUI skills for GitHub Copilot and Claude Code
Explore other popular ai tool tools:
falcon-eye is linux monitor tool. an agent running on your host collect and display performance data. just like https://github.com/afaqurk/linux-dash. It is categorized as a AI Tool with 195 GitHub stars.
falcon-eye is primarily written in CSS.
You can find installation instructions and usage details in the falcon-eye GitHub repository at github.com/UlricQin/falcon-eye. The project has 195 stars and 69 forks, indicating an active community.
falcon-eye is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to falcon-eye on Agent Skills Hub include pivotnacci, MedgeClaw, SciToolAgent. 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: