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 andreasbm · AI Tool · ★ 7.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is web-skills safe to install? View the security audit →
Web Skills Web Skills is a visual overview of useful skills to learn as a web developer. Go to https://andreasbm.github.io/web-skills to check out the visual overview or scroll through this readme to get the overview as a list. If you like the project you are very welcome to become a stargazer 🤩 📖 Table of Contents ➤ Table of Contents ➤ FAQ What is Web Skills? How did you choose the skills? How can I support you? How can I get involved? [How can I keep track of what skills I know?](#how-can-i-keep-track-of-what-
| Stars | 7,645 |
| Forks | 725 |
| Language | JavaScript |
| Category | AI Tool |
| Quality Score | 51.567927933409/100 |
| Open Issues | 53 |
| Last Updated | 2024-04-19 |
| Created | 2019-09-29 |
| Platforms | browser, node |
| Est. Tokens | ~25k |
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web-skills is A visual overview of useful skills to learn as a web developer. It is categorized as a AI Tool with 7.6k GitHub stars.
web-skills is primarily written in JavaScript. It covers topics such as accessibility, algorithms, architecture.
You can find installation instructions and usage details in the web-skills GitHub repository at github.com/andreasbm/web-skills. The project has 7.6k stars and 725 forks, indicating an active community.
The top alternatives to web-skills on Agent Skills Hub include preline, shortest, web-quality-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.
Sources & who's responsible: