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 depalmar · Agent Tool · ★ 157
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ai_for_the_win safe to install? View the security audit →
AI for the Win Build AI-Powered Security Tools | Hands-On Learning -blue.svg) A hands-on training program for security practitioners who want to build AI-powered tools for threat detection, incident response, and security automation. 50+ labs (including 9 intro labs and 12 bridge labs), 4 capstone projects, 18 CTF challenges. Includes sample datasets, solution walkthroughs, and Docker lab environment. Designed for vibe coding with AI assistants like Cursor, Claude Code, and Copilot.
| Stars | 157 |
| Forks | 24 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 64.4713194620029/100 |
| Open Issues | 9 |
| Last Updated | 2026-08-01 |
| Created | 2025-12-15 |
| Platforms | docker, python |
| Est. Tokens | ~389k |
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ai_for_the_win is Build AI-powered security tools. 50+ hands-on labs covering ML, LLMs, RAG, threat detection, DFIR, and red teaming. Includes Colab notebooks, Docker environment, and CTF challenges.. It is categorized as a Agent Tool with 157 GitHub stars.
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You can find installation instructions and usage details in the ai_for_the_win GitHub repository at github.com/depalmar/ai_for_the_win. The project has 157 stars and 24 forks, indicating an active community.
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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: