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 aibox22 · Agent Tool · ★ 493
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is readmeX safe to install? View the security audit →
English | 简体中文 -- readmex 🚀 AI-Powered README Generator: Automatically creates beautiful READMEs and interactive wikis for any repository! Can run all in local with your own models. Explore the docs » [![Contributors][contributors-shield]][contributors-url] [![Forks][forks-shield]][forks-url] [![Stargazers][stars-shield]][stars-url] [![Issues][issues-shield]][issues-url] [![License][license-shield]][license-url] View Demo · Report Bug · Request Feature Table of C
| Stars | 493 |
| Forks | 26 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 73.3239348901111/100 |
| Open Issues | 10 |
| Last Updated | 2025-08-01 |
| Created | 2025-07-02 |
| Platforms | cli, python |
| Est. Tokens | ~155k |
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readmeX is An AI Powered README and Interactive Wiki Generator for Any Projects. AI驱动的README及交互式Wiki生成工具，面向中文的开源DeepWiki。. It is categorized as a Agent Tool with 493 GitHub stars.
readmeX is primarily written in Python. It covers topics such as ai-tools, cli, documentation.
You can find installation instructions and usage details in the readmeX GitHub repository at github.com/aibox22/readmeX. The project has 493 stars and 26 forks, indicating an active community.
readmeX is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to readmeX on Agent Skills Hub include crit, mcp, rocketnotes. 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: