head to head · open source
SkillSpector vs pentest-ai-agents
SkillSpector has 17,856 GitHub stars, 1,538 forks, 136 open issues and last shipped 2 days ago. pentest-ai-agents has 2,248 stars, 429 forks, 1 open issues and last shipped 1 months ago. SkillSpector leads on adoption by 694% (17,856 vs 2,248 stars). SkillSpector is written in Python under Apache-2.0; pentest-ai-agents is written in Shell under MIT. SkillSpector has attracted 9% as many forks as stars, pentest-ai-agents 19%. SkillSpector was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai-security, 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 | pentest-ai-agents | |
|---|---|---|
| GitHub stars | ★ 18K | ★ 2.2K |
| License | Apache-2.0 | MIT |
| Written in | Python | Shell |
| Last push | 2026-09-18 | 2026-08-16 |
| Forks | ⑂ 1.5K | ⑂ 429 |
| 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 pentest-ai-agents if
- You want the pentest-ai-agents feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Shell
- You evaluated both and pentest-ai-agents 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 pentest-ai-agents
pentest ai agents: 50 Claude Code subagents for authorized offensive security research. Lives in Claude Code ecosystem. Agents carry domain knowledge for recon, web, Active Directory, cloud, mobile, wireless, social engineering, payload crafting, reverse engineering, exploit chaining, detection engineering, forensics.
read the full pentest-ai-agents overview →
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Frequently asked questions
Is SkillSpector or pentest-ai-agents more popular?
SkillSpector has 17,856 GitHub stars and pentest-ai-agents has 2,248. SkillSpector has the larger community by that measure.
Are SkillSpector and pentest-ai-agents free?
Both are open source. SkillSpector is licensed under Apache-2.0 and pentest-ai-agents under MIT. Neither carries a licence fee.
What is the difference between SkillSpector and pentest-ai-agents?
SkillSpector is written in Python and pentest-ai-agents in Shell. 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 pentest-ai-agents?
Choose SkillSpector if you want the larger community (17,856 stars) or its Apache-2.0 licence terms. Choose pentest-ai-agents if its feature set, stack or MIT licence fits better. Both are self-hostable.