head to head · open source

SkillSpector vs CyberStrike

SkillSpector has 17,856 GitHub stars, 1,538 forks, 136 open issues and last shipped 2 days ago. CyberStrike has 2,819 stars, 434 forks, 43 open issues and last shipped yesterday. SkillSpector leads on adoption by 533% (17,856 vs 2,819 stars). SkillSpector is written in Python under Apache-2.0; CyberStrike is written in TypeScript under AGPL-3.0. SkillSpector has attracted 9% as many forks as stars, CyberStrike 15%. CyberStrike was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai-security), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

SkillSpector ★ 18K CyberStrike ★ 2.8K category AI & Machine Learning

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Side by side

SkillSpector CyberStrike
GitHub stars ★ 18K ★ 2.8K
License Apache-2.0 AGPL-3.0
Written in Python TypeScript
Last push 2026-09-18 2026-09-19
Forks ⑂ 1.5K ⑂ 434
Self-hosting Yes Yes
Data ownership Your server Your server

pick SkillSpector if

  • You weight community size — 18K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full SkillSpector profile →

pick CyberStrike if

  • You want the CyberStrike feature set and don't need the biggest community
  • You prefer the AGPL-3.0 license terms
  • Your stack matches TypeScript
  • You evaluated both and CyberStrike fits your workflow better

full CyberStrike profile →

About SkillSpector

SkillSpector is an open source security scanner for AI agent skills that detects vulnerabilities, malicious patterns, prompt injection, data exfiltration, and supply chain risk in Claude Code, Codex CLI, Gemini CLI, and MCP skills before they are installed — built for developers who install agent skills and for security teams that vet or publish them.

read the full SkillSpector overview →

About CyberStrike

CyberStrike is open source TypeScript project. It is AI powered offensive security harness. It lives in AI & Machine Learning / AI Security & Privacy ecosystem. It targets automated penetration testing. It solves problem of turning general AI model into red team agent. It uses terminal TUI. It connects Claude, GPT, or any LLM subscription. It handles reconnaissance, vulnerability discovery, exploitation, and reporting autonomously. It has 13+ specialized agents, 7,600+ security skills, and 120+ OWASP test cases. It supports 150+ AI providers, 5,300+ models, 56+ built in tools, and 176+ MCP tools. It has 2746 star…

read the full CyberStrike overview →

More in AI & Machine Learning

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More AI Security & Privacy projects

Compare either of these against the rest of the AI Security & Privacy field.

SkillSpector vs strix SkillSpector vs shannon SkillSpector vs iFixAi SkillSpector vs codex-security SkillSpector vs garak SkillSpector vs AI-Infra-Guard SkillSpector vs giskard-oss SkillSpector vs Agentic-Bug-Hunter SkillSpector vs nono SkillSpector vs AiSOC SkillSpector vs pentest-ai-agents SkillSpector vs toolhive

Frequently asked questions

Is SkillSpector or CyberStrike more popular?

SkillSpector has 17,856 GitHub stars and CyberStrike has 2,819. SkillSpector has the larger community by that measure.

Are SkillSpector and CyberStrike free?

Both are open source. SkillSpector is licensed under Apache-2.0 and CyberStrike under AGPL-3.0. Neither carries a licence fee.

What is the difference between SkillSpector and CyberStrike?

SkillSpector is written in Python and CyberStrike in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, SkillSpector or CyberStrike?

Choose SkillSpector if you want the larger community (17,856 stars) or its Apache-2.0 licence terms. Choose CyberStrike if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.