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 DekaPrayoga · Agent Tool · ★ 61
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is AurixAgent safe to install? View the security audit →
AURIX Open-source terminal AI agent that codes, researches, browses, and solves — with real hands. AURIX is a developer-first AI workspace that lives in your terminal. It inspects repos, edits files, runs commands, performs cited research, automates stealth browsers with built-in CAPTCHA solving, generates documents — and stays accessible from Discord, Telegram, and WhatsApp. What is AURIX? AURIX is an Autonomous Multi-Agent
| Stars | 61 |
| Forks | 10 |
| Language | TypeScript |
| Category | Agent Tool |
| Quality Score | 63.3679295068987/100 |
| Last Updated | 2026-08-02 |
| Created | 2026-06-10 |
| Platforms | browser, cli, node |
| Est. Tokens | ~17k |
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AurixAgent is 🤖 Autonomous Multi-Agent AI Workspace in your terminal. Codes, researches, and executes real tasks with 40+ tools and 280+ skills And Some Captcha Resolver With Only Vision Mode Any Captcha And Openi. It is categorized as a Agent Tool with 61 GitHub stars.
AurixAgent is primarily written in TypeScript. It covers topics such as agent, agents, ai.
You can find installation instructions and usage details in the AurixAgent GitHub repository at github.com/DekaPrayoga/AurixAgent. The project has 61 stars and 10 forks, indicating an active community.
The top alternatives to AurixAgent on Agent Skills Hub include sudocode, blade-code, oreilly-ai-agents. 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: