head to head · open source
SkillSpector vs open-kritt
SkillSpector has 17,624 GitHub stars, 1,504 forks, 136 open issues and last shipped yesterday. open-kritt has 2,146 stars, 367 forks, 7 open issues and last shipped 3 days ago. SkillSpector leads on adoption by 721% (17,624 vs 2,146 stars). SkillSpector is written in Python under Apache-2.0; open-kritt is written in JavaScript under AGPL-3.0. SkillSpector has attracted 9% as many forks as stars, open-kritt 17%. SkillSpector was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai-security, security-tools), 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.
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Side by side
| SkillSpector | open-kritt | |
|---|---|---|
| GitHub stars | ★ 18K | ★ 2.1K |
| License | Apache-2.0 | AGPL-3.0 |
| Written in | Python | JavaScript |
| Last push | 2026-09-17 | 2026-09-15 |
| Forks | ⑂ 1.5K | ⑂ 367 |
| 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
pick open-kritt if
- You want the open-kritt feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- Your stack matches JavaScript
- You evaluated both and open-kritt fits your workflow better
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 open-kritt
open kritt is an open source, self hosted AI vulnerability research tool written in JavaScript and licensed under AGPL 3.0. It lives in the AI security and vulnerability research ecosystem, using language models to inspect code for security issues. The project orchestrates AI agents instead of asking one model to review an entire repository in a single pass.
read the full open-kritt overview →
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Frequently asked questions
Is SkillSpector or open-kritt more popular?
SkillSpector has 17,624 GitHub stars and open-kritt has 2,146. SkillSpector has the larger community by that measure.
Are SkillSpector and open-kritt free?
Both are open source. SkillSpector is licensed under Apache-2.0 and open-kritt under AGPL-3.0. Neither carries a licence fee.
What is the difference between SkillSpector and open-kritt?
SkillSpector is written in Python and open-kritt in JavaScript. 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 open-kritt?
Choose SkillSpector if you want the larger community (17,624 stars) or its Apache-2.0 licence terms. Choose open-kritt if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.