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 romanyn36 · Agent Tool · ★ 131
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agentic-ai-roadmap safe to install? View the security audit →
🚀 The Complete AI Engineer Roadmap 2026 Agentic & Generative AI: From Zero to Deployment A structured roadmap from absolute beginner fundamentals in Python and mathematics, through machine learning and deep learning, to building and deploying advanced agentic AI systems. 📋 About This Roadmap before we dive in,iam Rom
| Stars | 131 |
| Forks | 1 |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 57.5058464828033/100 |
| Last Updated | 2026-08-21 |
| Created | 2026-02-06 |
| Est. Tokens | ~28k |
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agentic-ai-roadmap is A comprehensive AI learning roadmap covering Python fundamentals, mathematics, machine learning, deep learning, LLMs, and agentic systems — focused on hands-on projects, practical tools, and real-worl. It is categorized as a Agent Tool with 131 GitHub stars.
You can find installation instructions and usage details in the agentic-ai-roadmap GitHub repository at github.com/romanyn36/agentic-ai-roadmap. The project has 131 stars and 1 forks, indicating an active community.
agentic-ai-roadmap is released under the MIT license, making it free to use and modify according to the license terms.
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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: