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 prolinkinfo · AI Tool · ★ 354
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is RealEstateCRM safe to install? View the security audit →
Welcome to Real Estate CRM: Empowering Real Estate Agents with Modern CRM Tools Real Estate CRM is an innovative Customer Relationship Management (CRM) solution designed exclusively for Real Estate Agents. Streamline your workflow, enhance client interactions, and boost your business with our feature-packed CRM. Explore our repository to discover Intuitive Interface: A user-friendly dashboard tailored to the needs of Real Estate professionals. MERN Stack Powered: Built on the robust MERN (MongoDB, Express, ReactJS, Node.js) stack for high performance. Customization: Open-source architecture allows you to tailor the CRM to your unique requirements. Responsive Design: Access your CRM anytime, anywhere, from any device. Seamless Communication: Foster better client relationships with integrated communication tools. Ready to revolutionize your Real Estate business? Dive into our documentation below and take the first step towards enhancing your productivity. Demo Here are the demo link credentials.
| Stars | 354 |
| Forks | 141 |
| Language | JavaScript |
| Category | AI Tool |
| Quality Score | 52.6298436821199/100 |
| Open Issues | 22 |
| Last Updated | 2025-02-27 |
| Created | 2023-08-15 |
| Platforms | browser, cli, node |
| Est. Tokens | ~4841k |
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RealEstateCRM is RealEstate CRM: Empowering Real Estate Agents with Modern CRM Tools. It is categorized as a AI Tool with 354 GitHub stars.
RealEstateCRM is primarily written in JavaScript. It covers topics such as clientmanagement, crm, crm-platform.
You can find installation instructions and usage details in the RealEstateCRM GitHub repository at github.com/prolinkinfo/RealEstateCRM. The project has 354 stars and 141 forks, indicating an active community.
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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: