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 aws · MCP Server · ★ 2.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is amazon-q-developer-cli safe to install? View the security audit →
Amazon Q CLI [!IMPORTANT] This open source project is no longer being actively maintained and will only receive critical security fixes. Amazon Q Developer CLI is now available as Kiro CLI, a closed-source product. For the latest features and updates, please use Kiro CLI. For issues with Kiro CLI, please report it here instead. Installation macOS: DMG: Download now HomeBrew: Linux: Ubuntu/Debian AppImage Alternative Linux builds Contributing Thank you so much for considering to contribute to Amazon Q. Before getting started, see our contributing docs. Prerequisites MacOS Xcode 13 or later Brew Clone repo Install the Rust toolchain using Rustup: shell curl --proto '=https' --tlsv1.2 -sSf https://sh.
| Stars | 1,983 |
| Forks | 439 |
| Language | Rust |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 67.8698367479663/100 |
| Open Issues | 1332 |
| Last Updated | 2026-08-24 |
| Created | 2024-09-23 |
| Platforms | cli, mcp, rust |
| Est. Tokens | ~22k |
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amazon-q-developer-cli is ✨ Agentic chat experience in your terminal. Build applications using natural language.. It is categorized as a MCP Server with 2.0k GitHub stars.
amazon-q-developer-cli is primarily written in Rust. It covers topics such as agent, ai, amazon-q.
You can find installation instructions and usage details in the amazon-q-developer-cli GitHub repository at github.com/aws/amazon-q-developer-cli. The project has 2.0k stars and 439 forks, indicating an active community.
amazon-q-developer-cli is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to amazon-q-developer-cli on Agent Skills Hub include agnix, basic-memory, flow-like. 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: