head to head · open source
SkillSpector vs ADR
SkillSpector has 23,981 GitHub stars, 2,070 forks, 136 open issues and last shipped yesterday. ADR has 2,093 stars, 226 forks, 6 open issues and last shipped 3 days ago. SkillSpector leads on adoption by 1,046% (23,981 vs 2,093 stars). SkillSpector is written in Python under Apache-2.0; ADR is written in Python under Apache-2.0. SkillSpector has attracted 9% as many forks as stars, ADR 11%. SkillSpector was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 5 topic tags (agent-security, ai-security, claude-code, mcp), 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 | ADR | |
|---|---|---|
| GitHub stars | ★ 24K | ★ 2.1K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-10-31 |
| Forks | ⑂ 2.1K | ⑂ 226 |
| 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 ADR if
- You want the ADR feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and ADR 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 ADR
ADR: Agentic AI Detection and Response ADR (Agentic AI Detection and Response) is an enterprise security system for AI agents. It helps organizations secure employee facing agents such as Cursor, Claude Code, Codex, GitHub Copilot CLI, and DeepSeek Harness, as well as customer facing agents such as AI support agents. ADR is deployed in production at Uber , and the accompanying paper was accepted to MLSys 2026 : Paper PDF · Slides PDF How ADR secures enterprise AI agents ADR secures enterprise AI agents through five complementary capabilities: discovering unsanctioned AI tools, observing agent activity…
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Frequently asked questions
Is SkillSpector or ADR more popular?
SkillSpector has 23,981 GitHub stars and ADR has 2,093. SkillSpector has the larger community by that measure.
Are SkillSpector and ADR free?
Both are open source. SkillSpector is licensed under Apache-2.0 and ADR under Apache-2.0. Neither carries a licence fee.
What is the difference between SkillSpector and ADR?
SkillSpector is written in Python and ADR 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 ADR?
Choose SkillSpector if you want the larger community (23,981 stars) or its Apache-2.0 licence terms. Choose ADR if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.