--- title: "Anthropic-Cybersecurity-Skills vs ai-engineering-from-scratch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mukul975-anthropic-cybersecurity-skills-vs-rohitg00-ai-engineering-from-scratch" tools: ["mukul975-anthropic-cybersecurity-skills", "rohitg00-ai-engineering-from-scratch"] --- # Anthropic-Cybersecurity-Skills vs ai-engineering-from-scratch *GraphCanon updated Sep 20, 2026* ## Verdict Pick Anthropic-Cybersecurity-Skills if anthropic-Cybersecurity-Skills offers 817 structured cybersecurity skills mapped to six frameworks, compatible with over 20 AI platforms, including Claude Code and GitHub Copilot; pick ai-engineering-from-scratch if ai-engineering-from-scratch is a comprehensive course that teaches AI engineering skills from foundational math to advanced AI agents and machine learning techniques, using Python and Node.js for interactive learning and. [Anthropic-Cybersecurity-Skills](https://mahipal.engineer/Anthropic-Cybersecurity-Skills/) reports 33k GitHub stars, 4.0k forks, and 48 open issues, last pushed Aug 31, 2026. [ai-engineering-from-scratch](https://aiengineeringfromscratch.com) has 55k stars, 9.6k forks, and 114 open issues, last pushed Sep 7, 2026. Figures are from public GitHub metadata via [Anthropic-Cybersecurity-Skills's repository](https://github.com/mukul975/Anthropic-Cybersecurity-Skills) and [ai-engineering-from-scratch's repository](https://github.com/rohitg00/ai-engineering-from-scratch). | | [Anthropic-Cybersecurity-Skills](/tools/mukul975-anthropic-cybersecurity-skills.md) | [ai-engineering-from-scratch](/tools/rohitg00-ai-engineering-from-scratch.md) | | --- | --- | --- | | Tagline | 817 structured cybersecurity skills for AI agents mapped to 6 frameworks | Learn, build, and deploy AI engineering skills from scratch. | | Stars | 32,937 | 54,935 | | Forks | 3,984 | 9,649 | | Open issues | 48 | 114 | | Language | Python | Python | | Adopt for | Anthropic-Cybersecurity-Skills offers 817 structured cybersecurity skills mapped to six frameworks, compatible with over 20 AI platforms, including Claude Code and GitHub Copilot. | ai-engineering-from-scratch is a comprehensive course that teaches AI engineering skills from foundational math to advanced AI agents and machine learning techniques, using Python and Node.js for interactive learning and | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents | AI Agents, Computer Vision, Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Anthropic-Cybersecurity-Skills](/tools/mukul975-anthropic-cybersecurity-skills.md) | [ai-engineering-from-scratch](/tools/rohitg00-ai-engineering-from-scratch.md) | | --- | --- | --- | | Days since push | 18d | 10d | | Open issues (now) | 48 | 114 | | Stars delta | +5.0k (30d) | +8.1k (30d) | | Open issues delta | +2 (30d) | +7 (30d) | | Full report | [trust report](/tools/mukul975-anthropic-cybersecurity-skills/trust.md) | [trust report](/tools/rohitg00-ai-engineering-from-scratch/trust.md) | ## Decision facts: Anthropic-Cybersecurity-Skills - **Adopt for:** Anthropic-Cybersecurity-Skills offers 817 structured cybersecurity skills mapped to six frameworks, compatible with over 20 AI platforms, including Claude Code and GitHub Copilot. ## Decision facts: ai-engineering-from-scratch - **Adopt for:** ai-engineering-from-scratch is a comprehensive course that teaches AI engineering skills from foundational math to advanced AI agents and machine learning techniques, using Python and Node.js for interactive learning and ## Choose when ### Choose Anthropic-Cybersecurity-Skills if… - License: Anthropic-Cybersecurity-Skills is Apache-2.0, ai-engineering-from-scratch is MIT. - Tags unique to Anthropic-Cybersecurity-Skills: ai-agents, claude-code, cloud-security, cybersecurity. - When you need a comprehensive set of 817 structured cybersecurity skills mapped to six frameworks, including MITRE ATT&CK and NIST CSF 2.0. ### Choose ai-engineering-from-scratch if… - License: ai-engineering-from-scratch is MIT, Anthropic-Cybersecurity-Skills is Apache-2.0. - Tags unique to ai-engineering-from-scratch: agents, ai-engineering, computer-vision, deep-learning. - Also covers Computer Vision, Developer Tools, Model Training. - when you need a structured course that covers a wide range of AI engineering topics from scratch, including foundational math, deep learning, and reinforcement learning. ## When NOT to use Anthropic-Cybersecurity-Skills - If your project requires skills that are not covered by the six mapped frameworks, as this tool strictly adheres to these frameworks. - When you need a tool that is not open-source, as Anthropic-Cybersecurity-Skills is licensed under Apache 2.0, allowing for free use and modification. - If your project is incompatible with the agentskills.io standard, as this tool is specifically designed to work within this standard. ## When NOT to use ai-engineering-from-scratch - if you are looking for a tool that focuses solely on theoretical knowledge without practical application, as this course emphasizes hands-on learning. - when you do not have access to Node.js or Python, as these are required for running the course and its interactive components. - if you prefer a more traditional learning approach without the use of terminal-based learning tools, as the course is designed for interactive terminal sessions. - when you are working with a development environment that does not support skill-capable hosts, as the course is optimized for such environments. ## Common questions ### What is the difference between Anthropic-Cybersecurity-Skills and ai-engineering-from-scratch? Anthropic-Cybersecurity-Skills: 817 structured cybersecurity skills for AI agents mapped to 6 frameworks. ai-engineering-from-scratch: Learn, build, and deploy AI engineering skills from scratch.. See the comparison table for live GitHub stats and shared categories. ### When should I choose Anthropic-Cybersecurity-Skills over ai-engineering-from-scratch? Choose Anthropic-Cybersecurity-Skills over ai-engineering-from-scratch when License: Anthropic-Cybersecurity-Skills is Apache-2.0, ai-engineering-from-scratch is MIT; Tags unique to Anthropic-Cybersecurity-Skills: ai-agents, claude-code, cloud-security, cybersecurity; When you need a comprehensive set of 817 structured cybersecurity skills mapped to six frameworks, including MITRE ATT&CK and NIST CSF 2.0. ### When should I choose ai-engineering-from-scratch over Anthropic-Cybersecurity-Skills? Choose ai-engineering-from-scratch over Anthropic-Cybersecurity-Skills when License: ai-engineering-from-scratch is MIT, Anthropic-Cybersecurity-Skills is Apache-2.0; Tags unique to ai-engineering-from-scratch: agents, ai-engineering, computer-vision, deep-learning; Also covers Computer Vision, Developer Tools, Model Training; when you need a structured course that covers a wide range of AI engineering topics from scratch, including foundational math, deep learning, and reinforcement learning. ### When should I avoid Anthropic-Cybersecurity-Skills? If your project requires skills that are not covered by the six mapped frameworks, as this tool strictly adheres to these frameworks. When you need a tool that is not open-source, as Anthropic-Cybersecurity-Skills is licensed under Apache 2.0, allowing for free use and modification. If your project is incompatible with the agentskills.io standard, as this tool is specifically designed to work within this standard. ### When should I avoid ai-engineering-from-scratch? if you are looking for a tool that focuses solely on theoretical knowledge without practical application, as this course emphasizes hands-on learning. when you do not have access to Node.js or Python, as these are required for running the course and its interactive components. if you prefer a more traditional learning approach without the use of terminal-based learning tools, as the course is designed for interactive terminal sessions. when you are working with a development environment that does not support skill-capable hosts, as the course is optimized for such environments. ### Is Anthropic-Cybersecurity-Skills or ai-engineering-from-scratch more popular on GitHub? ai-engineering-from-scratch has more GitHub stars (54,935 vs 32,937). Stars measure visibility, not whether either tool fits your constraints. ### Are Anthropic-Cybersecurity-Skills and ai-engineering-from-scratch open source? Yes - both are open-source projects on GitHub (Anthropic-Cybersecurity-Skills: Apache-2.0, ai-engineering-from-scratch: MIT). ### Where can I find alternatives to Anthropic-Cybersecurity-Skills or ai-engineering-from-scratch? GraphCanon lists graph-backed alternatives at [Anthropic-Cybersecurity-Skills alternatives](/tools/mukul975-anthropic-cybersecurity-skills/alternatives) and [ai-engineering-from-scratch alternatives](/tools/rohitg00-ai-engineering-from-scratch/alternatives) ([Anthropic-Cybersecurity-Skills markdown twin](/tools/mukul975-anthropic-cybersecurity-skills/alternatives.md), [ai-engineering-from-scratch markdown twin](/tools/rohitg00-ai-engineering-from-scratch/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/mukul975-anthropic-cybersecurity-skills-vs-rohitg00-ai-engineering-from-scratch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Anthropic-Cybersecurity-Skills or ai-engineering-from-scratch? Anthropic-Cybersecurity-Skills: Active. ai-engineering-from-scratch: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for Anthropic-Cybersecurity-Skills and ai-engineering-from-scratch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Anthropic-Cybersecurity-Skills trust report](/tools/mukul975-anthropic-cybersecurity-skills/trust); [ai-engineering-from-scratch trust report](/tools/rohitg00-ai-engineering-from-scratch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mukul975-anthropic-cybersecurity-skills`](/api/graphcanon/graph?tool=mukul975-anthropic-cybersecurity-skills) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_