agentic-ai-roadmap: A comprehensive AI learning roadmap covering Python fundamentals, mathematics, machine learning, deep learning

by romanyn36 · Agent Tool · ★ 131

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

Security audit verdict: SAFE · quality 58/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agenticagentic-ai-roadmapaiai-roadmapdeep-learninglangchainlanggraphlearllmmachine-learning

Quick Facts

Stars131
Forks1
CategoryAgent Tool
LicenseMIT
Quality Score58/100
Last Updated2026-08-21
Created2026-02-06
Est. Tokens~28k

About agentic-ai-roadmap

🚀 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

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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