Alternatives to CyberStrikeus/CyberStrike

Explore 4 related skill repositories alongside CyberStrikeus/CyberStrike.

View CyberStrikeus/CyberStrike

Related repositories are selected from shared categories, topics and mentions in the same lists. Order follows the export’s relevance signals. These links are independent of sponsorship and do not change the leaderboard.

xalgorix/xalgorix

Autonomous AI pentesting agents — real-time reconnaissance, vulnerability detection, and exploitation orchestration. Go + TypeScript.

GitHub stars
1,305
Star growth over 7 days
+2.0%
Heat
6.9
Before you install
Network or broad shell
Median activation tokens (estimate)
Not available
Project activity
Active
License
Apache-2.0
Supported agents
Not available

awarexone/Agentic-Bug-Hunter

AI-powered bug bounty hunting toolkit that works with or without subscription.

GitHub stars
5,637
Star growth over 7 days
+2.6%
Heat
7.2
Before you install
Network or broad shell
Median activation tokens (estimate)
4,808 tokens
Project activity
Active
License
MIT
Supported agents
Claude Code, Codex

elementalsouls/Claude-BugHunter

A Claude Code skill bundle for bug hunting and external red-team work - 82 skills, 15 slash commands, 681 disclosed-report patterns curated across 24 core vulnerability classes, plus enterprise identity + infrastructure attack matrices.

GitHub stars
5,455
Star growth over 7 days
+1.9%
Heat
7.3
Before you install
Network or broad shell
Median activation tokens (estimate)
4,787 tokens
Project activity
Active
License
MIT
Supported agents
Claude Code

H-mmer/pentest-agents

Bug bounty agent framework for Claude Code, Codex, Gemini, Cursor, Windsurf, Copilot, and OpenClaw — 48 agents, 26 commands, 19 CLI tools, 2 MCP servers, autonomous hunt loops, exploit chain builder.

GitHub stars
1,060
Star growth over 7 days
+1.2%
Heat
5.4
Before you install
Network or broad shell
Median activation tokens (estimate)
1,158 tokens
Project activity
Slowing
License
No license detected
Supported agents
Claude Code, Codex, Cursor

Token cost is the median frontmatter plus SKILL.md estimate per skill. Reference files load on demand and scripts run separately. The estimate is unavailable when skill records or token counts are incomplete. Missing growth or heat history stays unmeasured, never zero.

Automated signals, not a guarantee Methodology