Code & Development · GitHub ·3,276 ★

CyberStrikeAI

CyberStrikeAI is an AI-native security testing platform built in Go. It integrates 100+ security tools, an intelligent orchestration engine, role-based testing with predefined security roles, a skills system with specialized testing skills, and comprehensive lifecycle management capabilities.

Details

Author
Ed1s0nZ
Category
Code & Development
Platform
GitHub
Framework
custom
Language
go
Stars
3,276
First indexed
2026-05-15
Last active
2026-04-13
Directory sync
2026-05-15

Overview

CyberStrikeAI is an AI-native security testing platform built in Go. It integrates 100+ security tools, an intelligent orchestration engine, role-based testing with predefined security roles, a skills system with specialized testing skills, and comprehensive lifecycle management capabilities.

Quick start

git

git clone https://github.com/Ed1s0nZ/CyberStrikeAI

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What CyberStrikeAI can do

  • Security — Scans systems and reviews code for vulnerabilities.
  • Test — test task automation.
  • Defi — Interacts with decentralised finance protocols.

Frequently asked questions

What is CyberStrikeAI?
CyberStrikeAI is an AI-native security testing platform built in Go. It integrates 100+ security tools, an intelligent orchestration engine, role-based testing with predefined security roles, a skills system with specialized testing skills, and comprehensive lifecycle management capabilities.
How do I install CyberStrikeAI?
Use git: `git clone https://github.com/Ed1s0nZ/CyberStrikeAI`. Full setup details on the source page linked above.
Is CyberStrikeAI open source?
CyberStrikeAI is published on GitHub.
What are alternatives to CyberStrikeAI?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for CyberStrikeAI is sourced from GitHub, published by Ed1s0nZ.

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