ai-skills — security grade SAFE, quality 61/100

Security audit verdict: SAFE · quality 61/100

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 julianromli · AI Skill · ★ 189

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About ai-skills

AI Skills Collection A curated collection of AI agent skills for coding, frontend, debugging, product thinking, and workflow automation. Overview This repository contains reusable skill packages in the directory. Each skill is designed to help an AI agent operate with more focused workflows, better domain knowledge, and stronger execution quality. Repository Structure Available Skills React Native an

Quick Facts

Stars189
Forks29
LanguageShell
CategoryAI Skill
Quality Score60.9598489962253/100
Open Issues1
Last Updated2026-06-09
Created2025-11-29
Platformsclaude-code, cli
Est. Tokens~22k

ai-skills alternative? Top 6 similar tools

Looking for a ai-skills alternative? If you're comparing ai-skills with other ai skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is ai-skills?

ai-skills is Claude Code, Droid, etc. Skills Ability. It is categorized as a AI Skill with 189 GitHub stars.

What programming language is ai-skills written in?

ai-skills is primarily written in Shell.

How do I install or use ai-skills?

You can find installation instructions and usage details in the ai-skills GitHub repository at github.com/julianromli/ai-skills. The project has 189 stars and 29 forks, indicating an active community.

What are the best alternatives to ai-skills?

The top alternatives to ai-skills on Agent Skills Hub include makepad-skills, claude-code-now, claude-bootstrap. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

View on GitHub → Browse AI Skill tools