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 nicepkg · Codex Skill · ★ 283
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ai-workflow safe to install? View the security audit →
🚀 AI Workflow Supercharge Your AI Coding Assistant with Pre-built Skill Collections 简体中文 | English Stop teaching your AI assistant the same things over and over. One command. 170+ professional skills. Instant productivity boost. Get Started · Browse Workflows · Create Your Own ✨ Why AI Workflow? Your AI is smart. But every session starts from zero. Every time you open a new chat, you re-explain the same frameworks, best practices, and professional standards. That ends today. The Pain We Solve
| Stars | 283 |
| Forks | 49 |
| Language | HTML |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 69.7601337717112/100 |
| Open Issues | 3 |
| Last Updated | 2026-01-20 |
| Created | 2026-01-16 |
| Platforms | claude-code, codex, gemini |
| Est. Tokens | ~809k |
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ai-workflow is 🚀 170+ pre-built skills for Claude Code, Cursor, Codex & 14+ AI tools. Stop re-teaching your AI the same things. One command → instant domain expertise. Marketing, SEO, Trading, Video, PM workflows. It is categorized as a Codex Skill with 283 GitHub stars.
ai-workflow is primarily written in HTML. It covers topics such as agent, agent-skills, ai.
You can find installation instructions and usage details in the ai-workflow GitHub repository at github.com/nicepkg/ai-workflow. The project has 283 stars and 49 forks, indicating an active community.
ai-workflow is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ai-workflow on Agent Skills Hub include agentsys, claude-workflow-v2, better-chatbot. 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: