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 →
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🔒 Is alexa-skills-kit-sdk-for-nodejs safe to install? View the security audit →
Alexa Skills Kit SDK for Node.js English | 日本語 The ASK SDK v2 for Node.js makes it easier for you to build highly engaging skills by allowing you to spend more time on implementing features and less on writing boilerplate code. The ASK SDK Controls Framework (Beta) builds on the ASK SDK v2 for Node.js, providing a scalable solution for creating large, multi-turn skills in code with reusable components called controls. The ASK SMAPI SDK for Node.js provides developers a library for easily interacting with all Skill Management APIs (SMAPI), including interaction model, intent request history, and in-skill purchasing APIs. Package Versions [ to block Endpoint Detection and Response (EDR) agents from report
A java agent to generate method mappings to use with the linux `perf` tool
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alexa-skills-kit-sdk-for-nodejs is The Alexa Skills Kit SDK for Node.js helps you get a skill up and running quickly, letting you focus on skill logic instead of boilerplate code.. It is categorized as a AI Tool with 3.1k GitHub stars.
alexa-skills-kit-sdk-for-nodejs is primarily written in TypeScript.
You can find installation instructions and usage details in the alexa-skills-kit-sdk-for-nodejs GitHub repository at github.com/alexa/alexa-skills-kit-sdk-for-nodejs. The project has 3.1k stars and 724 forks, indicating an active community.
alexa-skills-kit-sdk-for-nodejs is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to alexa-skills-kit-sdk-for-nodejs on Agent Skills Hub include claude-code-infrastructure-showcase, vision-agent, axton-obsidian-visual-skills. 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.
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