head to head · open source
SkillSpector vs code-on-incus
SkillSpector has 17,624 GitHub stars, 1,504 forks, 136 open issues and last shipped yesterday. code-on-incus has 720 stars, 62 forks, 24 open issues and last shipped 3 days ago. SkillSpector leads on adoption by 2,348% (17,624 vs 720 stars). SkillSpector is written in Python under Apache-2.0; code-on-incus is written in Go under MIT. SkillSpector has attracted 9% as many forks as stars, code-on-incus 9%. SkillSpector was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (agentic-ai, claude-code), 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 | code-on-incus | |
|---|---|---|
| GitHub stars | ★ 18K | ★ 720 |
| License | Apache-2.0 | MIT |
| Written in | Python | Go |
| Last push | 2026-09-17 | 2026-09-15 |
| Forks | ⑂ 1.5K | ⑂ 62 |
| 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 code-on-incus if
- You want the code-on-incus feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Go
- You evaluated both and code-on-incus 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 code-on-incus
code on incus (coi) is an MIT licensed Go tool that runs AI coding agents such as Claude Code, Codex, opencode, pi, and omp inside their own isolated Incus system containers — full Linux machines with root, systemd, and Docker — and adds kernel level active defense that pauses or kills the container when it detects dangerous behavior, for developers who need real machine access without exposing the host or their credentials.
read the full code-on-incus overview →
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Frequently asked questions
Is SkillSpector or code-on-incus more popular?
SkillSpector has 17,624 GitHub stars and code-on-incus has 720. SkillSpector has the larger community by that measure.
Are SkillSpector and code-on-incus free?
Both are open source. SkillSpector is licensed under Apache-2.0 and code-on-incus under MIT. Neither carries a licence fee.
What is the difference between SkillSpector and code-on-incus?
SkillSpector is written in Python and code-on-incus in Go. 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 code-on-incus?
Choose SkillSpector if you want the larger community (17,624 stars) or its Apache-2.0 licence terms. Choose code-on-incus if its feature set, stack or MIT licence fits better. Both are self-hostable.