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 jakubkrehel · Agent Tool · ★ 3.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is make-interfaces-feel-better safe to install? View the security audit →
An agent skill focused on the small details that make interfaces feel better. The skill covers animations, typography, icons, hover states, optical alignment, concentric border radius, shadows, hit areas and more. Install
| Stars | 3,466 |
| Forks | 145 |
| Language | Markdown |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 55.9303783016111/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-29 |
| Created | 2026-03-13 |
| Est. Tokens | ~5k |
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make-interfaces-feel-better is An agent skill that helps make your interface feel better.. It is categorized as a Agent Tool with 3.5k GitHub stars.
make-interfaces-feel-better is primarily written in Markdown.
You can find installation instructions and usage details in the make-interfaces-feel-better GitHub repository at github.com/jakubkrehel/make-interfaces-feel-better. The project has 3.5k stars and 145 forks, indicating an active community.
make-interfaces-feel-better is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to make-interfaces-feel-better on Agent Skills Hub include open-saas, notebooklm-skill, agent-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: