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 awslabs · MCP Server · ★ 146
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is nx-plugin-for-aws safe to install? View the security audit →
Nx Plugin for AWS - @aws/nx-plugin Rapidly scaffold and build projects on AWS 👉 See full documentation on https://awslabs.github.io/nx-plugin-for-aws 👈 Intro @aws/nx-plugin is
| Stars | 146 |
| Forks | 35 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 67.7945347415565/100 |
| Open Issues | 18 |
| Last Updated | 2026-09-21 |
| Created | 2024-12-10 |
| Platforms | aws, mcp, node |
| Est. Tokens | ~15k |
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nx-plugin-for-aws is The @aws/nx-plugin is a collection of code generators that automate the creation and configuration of cloud-native applications using AWS, TypeScript, Python and React within the Nx development ecosys. It is categorized as a MCP Server with 146 GitHub stars.
nx-plugin-for-aws is primarily written in TypeScript. It covers topics such as aws, aws-cdk, cloudfront.
You can find installation instructions and usage details in the nx-plugin-for-aws GitHub repository at github.com/awslabs/nx-plugin-for-aws. The project has 146 stars and 35 forks, indicating an active community.
nx-plugin-for-aws is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to nx-plugin-for-aws on Agent Skills Hub include orchestkit, claudex, FofaMap. 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: