head to head · open source
SkillSpector vs code-on-incus
SkillSpector has 23,981 GitHub stars, 2,070 forks, 136 open issues and last shipped yesterday. code-on-incus has 771 stars, 67 forks, 24 open issues and last shipped yesterday. SkillSpector leads on adoption by 3,010% (23,981 vs 771 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 | ★ 24K | ★ 771 |
| License | Apache-2.0 | MIT |
| Written in | Python | Go |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 2.1K | ⑂ 67 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick SkillSpector if
- You weight community size — 24K 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 Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, and security risks before installing agent skills. Overview AI agent skills (used by Claude Code, Codex CLI, Gemini CLI, etc.) execute with implicit trust and minimal vetting. In the 31,132 skill analyzed subset of the research dataset, 26.1% of skills contain vulnerabilities and 5.2% show likely malicious intent . SkillSpector helps you answer: "Is this skill safe to install?" SkillSpector is part of the NVIDIA Verified Skills pipeline, which scans, evaluates, and signs agent skills before publication. Skills that…
read the full SkillSpector overview →
About code-on-incus
code on incus ( coi ) Give every AI coding agent its own machine with active defense. coi runs your AI coding tool (Claude Code, Codex, opencode, pi, omp) inside its own isolated Linux system a full OS container with root access, systemd, Docker, and the freedom to install anything. The agent works like it would on a real server but it can't touch your host, can't see your credentials, and if it does something dangerous, coi pauses or kills the container on its own. One command drops you into a coding session. Your project is mounted, file permissions just work, and your SSH keys, tokens, and environment…
read the full code-on-incus overview →
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Frequently asked questions
Is SkillSpector or code-on-incus more popular?
SkillSpector has 23,981 GitHub stars and code-on-incus has 771. 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 (23,981 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.