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 rohitg00 · MCP Server · ★ 52.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ai-engineering-from-scratch safe to install? View the security audit →
Journey • Get Started • Toolkit • Roadmap • Contribute • Glossary 230+ hands-on lessons across 20 phases. From linear algebra to autonomous agent swarms. Python, TypeScript, Rust, Julia. Every lesson produces something reusable: prompts, skills, agents, MCP servers. You learn AI. You build real things. You ship tools others can use. "I learned some
| Stars | 52,725 |
| Forks | 9,194 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 59.3996693603929/100 |
| Open Issues | 104 |
| Last Updated | 2026-09-07 |
| Created | 2026-03-18 |
| Platforms | mcp, python |
| Est. Tokens | ~19k |
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ai-engineering-from-scratch is Learn it. Build it. Ship it for others.. It is categorized as a MCP Server with 52.7k GitHub stars.
ai-engineering-from-scratch is primarily written in Python. It covers topics such as agents, ai, ai-agents.
You can find installation instructions and usage details in the ai-engineering-from-scratch GitHub repository at github.com/rohitg00/ai-engineering-from-scratch. The project has 52.7k stars and 9194 forks, indicating an active community.
ai-engineering-from-scratch 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: