head to head · open source

SkillSpector vs Krawl

SkillSpector has 17,667 GitHub stars, 1,512 forks, 136 open issues and last shipped yesterday. Krawl has 740 stars, 74 forks, 6 open issues and last shipped 7 days ago. SkillSpector leads on adoption by 2,287% (17,667 vs 740 stars). SkillSpector is written in Python under Apache-2.0; Krawl is written in Python under MIT. SkillSpector has attracted 9% as many forks as stars, Krawl 10%. SkillSpector 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 Krawl ★ 740 category AI & Machine Learning

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Side by side

SkillSpector Krawl
GitHub stars ★ 18K ★ 740
License Apache-2.0 MIT
Written in Python Python
Last push 2026-09-17 2026-09-11
Forks ⑂ 1.5K ⑂ 74
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 Krawl if

  • You want the Krawl feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and Krawl fits your workflow better

full Krawl 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 Krawl

Krawl A modern, customizable web honeypot server designed to detect and track malicious activity from attackers and web crawlers through deceptive web pages, fake credentials, and canary tokens. Table of Contents Demo What is Krawl? Krawl Dashboard Deployment Modes Krawl Banlist Quickstart Docker Run Docker Compose Kubernetes Uvicorn (Python) Configuration config.yaml Environment Variables Ban Malicious IPs IP Reputation Running Behind a Reverse Proxy or CDN Metrics & Monitoring Additional Documentation Deception using AI Contributing Demo Tip: crawl the robots.txt paths for additional fun Krawl URL: View the das…

read the full Krawl overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

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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 CyberStrike SkillSpector vs AiSOC SkillSpector vs pentest-ai-agents

Frequently asked questions

Is SkillSpector or Krawl more popular?

SkillSpector has 17,667 GitHub stars and Krawl has 740. SkillSpector has the larger community by that measure.

Are SkillSpector and Krawl free?

Both are open source. SkillSpector is licensed under Apache-2.0 and Krawl under MIT. Neither carries a licence fee.

What is the difference between SkillSpector and Krawl?

SkillSpector is written in Python and Krawl in Python. 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 Krawl?

Choose SkillSpector if you want the larger community (17,667 stars) or its Apache-2.0 licence terms. Choose Krawl if its feature set, stack or MIT licence fits better. Both are self-hostable.