head to head · open source
SkillSpector vs agentic_security
SkillSpector has 17,624 GitHub stars, 1,504 forks, 136 open issues and last shipped yesterday. agentic_security has 2,001 stars, 288 forks, 72 open issues and last shipped 7 days ago. SkillSpector leads on adoption by 781% (17,624 vs 2,001 stars). SkillSpector is written in Python under Apache-2.0; agentic_security is written in Python under Apache-2.0. SkillSpector has attracted 9% as many forks as stars, agentic_security 14%. SkillSpector was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (agent-security), 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.
← all 8884 open source comparisons
Side by side
| SkillSpector | agentic_security | |
|---|---|---|
| GitHub stars | ★ 18K | ★ 2.0K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-09-17 | 2026-09-11 |
| Forks | ⑂ 1.5K | ⑂ 288 |
| 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 agentic_security if
- You want the agentic_security 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 agentic_security 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 agentic_security
Agentic Security is an open source vulnerability scanner and AI red teaming kit for agent workflows and large language models. It lives in the Python AI security ecosystem and is distributed under the Apache 2.0 license. The project addresses the problem of testing LLM applications and agent systems against jailbreaks, fuzzing, and multimodal attacks. It gives developers, researchers, and security teams a local workflow for probing model endpoints, dataset driven attack vectors, and safety thresholds before deployment.
read the full agentic_security overview →
More in AI & Machine Learning
Related comparisons
More AI Security & Privacy projects
Compare either of these against the rest of the AI Security & Privacy field.
Frequently asked questions
Is SkillSpector or agentic_security more popular?
SkillSpector has 17,624 GitHub stars and agentic_security has 2,001. SkillSpector has the larger community by that measure.
Are SkillSpector and agentic_security free?
Both are open source. SkillSpector is licensed under Apache-2.0 and agentic_security under Apache-2.0. Neither carries a licence fee.
What is the difference between SkillSpector and agentic_security?
SkillSpector is written in Python and agentic_security 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 agentic_security?
Choose SkillSpector if you want the larger community (17,624 stars) or its Apache-2.0 licence terms. Choose agentic_security if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.