head to head · open source

SkillSpector vs coi

SkillSpector has 26,087 GitHub stars, 2,317 forks, 136 open issues and last shipped yesterday. coi has 787 stars, 69 forks, 29 open issues and last shipped today. SkillSpector leads on adoption by 3,215% (26,087 vs 787 stars). SkillSpector is written in Python under Apache-2.0; coi is written in Go under MIT. SkillSpector has attracted 9% as many forks as stars, coi 9%. coi 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.

SkillSpector ★ 26K coi ★ 787 category AI & Machine Learning

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Side by side

SkillSpector coi
GitHub stars ★ 26K ★ 787
License Apache-2.0 MIT
Written in Python Go
Last push 2026-11-14 2026-11-15
Forks ⑂ 2.3K ⑂ 69
Self-hosting Yes Yes
Data ownership Your server Your server

pick SkillSpector if

  • You weight community size — 26K 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 coi if

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

full coi profile →

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 coi

Coi (Code on Incus) Give the agent a machine. Just not yours. 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 variables never enter the…

read the full coi overview →

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Frequently asked questions

Is SkillSpector or coi more popular?

SkillSpector has 26,087 GitHub stars and coi has 787. SkillSpector has the larger community by that measure.

Are SkillSpector and coi free?

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

What is the difference between SkillSpector and coi?

SkillSpector is written in Python and coi 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 coi?

Choose SkillSpector if you want the larger community (26,087 stars) or its Apache-2.0 licence terms. Choose coi if its feature set, stack or MIT licence fits better. Both are self-hostable.