head to head · open source
SkillSpector vs stride-gpt
SkillSpector has 17,624 GitHub stars, 1,504 forks, 136 open issues and last shipped yesterday. stride-gpt has 1,124 stars, 326 forks, 12 open issues and last shipped 3 days ago. SkillSpector leads on adoption by 1,468% (17,624 vs 1,124 stars). SkillSpector is written in Python under Apache-2.0; stride-gpt is written in Python under MIT. SkillSpector has attracted 9% as many forks as stars, stride-gpt 29%. SkillSpector was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (ai-security, mcp, security-tools), 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 | stride-gpt | |
|---|---|---|
| GitHub stars | ★ 18K | ★ 1.1K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-09-17 | 2026-09-15 |
| Forks | ⑂ 1.5K | ⑂ 326 |
| 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 stride-gpt if
- You want the stride-gpt feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and stride-gpt 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 stride-gpt
STRIDE GPT is an MIT licensed Python threat modeling tool that uses large language models — OpenAI GPT, Anthropic Claude, Google Gemini and Mistral — to generate STRIDE threat models, attack trees, mitigations and Gherkin test cases from a description of an application, aimed at security engineers, AppSec teams and developers who need a structured threat model during design review rather than weeks after a manual workshop.
read the full stride-gpt overview →
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Frequently asked questions
Is SkillSpector or stride-gpt more popular?
SkillSpector has 17,624 GitHub stars and stride-gpt has 1,124. SkillSpector has the larger community by that measure.
Are SkillSpector and stride-gpt free?
Both are open source. SkillSpector is licensed under Apache-2.0 and stride-gpt under MIT. Neither carries a licence fee.
What is the difference between SkillSpector and stride-gpt?
SkillSpector is written in Python and stride-gpt 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 stride-gpt?
Choose SkillSpector if you want the larger community (17,624 stars) or its Apache-2.0 licence terms. Choose stride-gpt if its feature set, stack or MIT licence fits better. Both are self-hostable.