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 Hainrixz · Claude Skill · ★ 235
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cyber-neo safe to install? View the security audit →
CYBER NEO The Open-Source Cybersecurity Agent for Claude Code Protect your apps. Protect your users. Protect your community. -00ff41.svg) Shipped by @soyenriquerocha | Built by the Tododeia community — empowering developers to ship secure software. What is Cyber Neo? Cyber Neo is a comprehensive cybersecurity analysis agent that runs inside Claude Code. Point it at any project on your computer, and it performs a deep security audit — scanning your code, dependencies, secrets, infrastructure, and supply chain for vulnerabilities. It generates a professional, prioritized report with actionable remediation guidance so you can fix issues before they become i
| Stars | 235 |
| Forks | 28 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 71.9340641938496/100 |
| Open Issues | 3 |
| Last Updated | 2026-07-18 |
| Created | 2026-04-12 |
| Platforms | claude-code, python |
| Est. Tokens | ~18k |
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cyber-neo is Open-source cybersecurity analysis agent for Claude Code. Scans projects for vulnerabilities across all OWASP 2025 Top 10 and CWE Top 25 categories. 11 security domains, 60+ secret patterns, parallel . It is categorized as a Claude Skill with 235 GitHub stars.
cyber-neo is primarily written in Python. It covers topics such as ai-agent, application-security, claude-code.
You can find installation instructions and usage details in the cyber-neo GitHub repository at github.com/Hainrixz/cyber-neo. The project has 235 stars and 28 forks, indicating an active community.
cyber-neo is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to cyber-neo on Agent Skills Hub include claude-cybersecurity, 0, 0sec. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: