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 nicepkg · Agent Tool · ★ 2.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is aide safe to install? View the security audit →
English / 简体中文 / 日本語 Conquer Any Code in VSCode: One-Click Comments, Conversions, UI-to-Code, and AI Batch Processing of Files! 💪 在 VSCode 中征服任何代码：一键注释、转换、UI 图生成代码、AI 批量处理文件！💪 Document 📚 See: https://aide.nicepkg.cn Video: https://github.com/user-attachments/assets/55f85f8e-7515-4da3-b850-9c078b3440d5
| Stars | 2,687 |
| Forks | 207 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 59.947274551559/100 |
| Open Issues | 43 |
| Last Updated | 2025-05-06 |
| Created | 2024-07-02 |
| Platforms | claude-code, cli, node, vscode |
| Est. Tokens | ~3691k |
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aide is Conquer Any Code in VSCode: One-Click Comments, Conversions, UI-to-Code, and AI Batch Processing of Files! 在 VSCode 中征服任何代码：一键注释、转换、UI 图生成代码、AI 批量处理文件！💪. It is categorized as a Agent Tool with 2.7k GitHub stars.
aide is primarily written in TypeScript. It covers topics such as agent, ai, aide.
You can find installation instructions and usage details in the aide GitHub repository at github.com/nicepkg/aide. The project has 2.7k stars and 207 forks, indicating an active community.
aide is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to aide on Agent Skills Hub include cascadeflow, code2prompt, zcf. 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: