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 dinoanderson · Agent Tool · ★ 60
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is qwen_cli_coder safe to install? View the security audit →
Qwen CLI - Community Fork English | 简体中文 A community fork of Google's Gemini CLI, modified to work with Qwen models from Alibaba Cloud This repository contains a community-maintained fork of Google's Gemini CLI, modified to work with Qwen models. It's a command-line AI workflow tool that connects to your tools, understands your code and accelerates your workflows using Qwen's powerful language models. Attribution This project is a community fork of Google's Gemini CLI, originally developed by Google. We've modified it to work with Qwen models from Alibaba Cloud while maintaining the excellent architecture and functionality of the original project.
| Stars | 60 |
| Forks | 24 |
| Language | TypeScript |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 67.256496162011/100 |
| Last Updated | 2025-07-05 |
| Created | 2025-06-29 |
| Platforms | browser, cli, gemini, node |
| Est. Tokens | ~215k |
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qwen_cli_coder is 🤖 Community fork of Google's Gemini CLI for Qwen AI models. A powerful command-line tool that uses Alibaba Cloud's Qwen models to understand your code, automate workflows, and accelerate developmen. It is categorized as a Agent Tool with 60 GitHub stars.
qwen_cli_coder is primarily written in TypeScript. It covers topics such as ai, alibabacloud, automation.
You can find installation instructions and usage details in the qwen_cli_coder GitHub repository at github.com/dinoanderson/qwen_cli_coder. The project has 60 stars and 24 forks, indicating an active community.
qwen_cli_coder is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to qwen_cli_coder on Agent Skills Hub include sudocode, gptree, claude-code-open. 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: