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 iflytek · MCP Server · ★ 5.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is astron-rpa safe to install? View the security audit →
AstronRPA 🤖 Pioneering Open-Source Enterprise RPA Desktop Application Astron RPA Official Site · Deployment Guide · User Documentation · FAQ English | 简体中文 📋 Overview AstronRPA is an enterprise-grade Robotic Process Automation (RPA) desktop application. Through a visual designer, it supports low-code/no-code development, enabling users to rapidly build workflows and automate desktop software and web pages. Astron Agent is the native Agent platform supported by this project. Users can directly call RPA workflow nodes in Astron Agent, and also use Agent workflows in AstronRPA, achieving efficient collaboration between automation processes and intelligent agent systems, empowering broader business automation scenarios. 🎯 Why Choose A
| Stars | 5,556 |
| Forks | 593 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 65.7847236009202/100 |
| Open Issues | 53 |
| Last Updated | 2026-09-16 |
| Created | 2025-09-20 |
| Platforms | mcp, python |
| Est. Tokens | ~16k |
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astron-rpa is Agent-ready RPA suite with out-of-the-box automation tools. Built for individuals and enterprises.. It is categorized as a MCP Server with 5.6k GitHub stars.
astron-rpa is primarily written in Python. It covers topics such as agent, ai, astron.
You can find installation instructions and usage details in the astron-rpa GitHub repository at github.com/iflytek/astron-rpa. The project has 5.6k stars and 593 forks, indicating an active community.
astron-rpa is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to astron-rpa on Agent Skills Hub include magic, agents, bytebot. 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: