Skill_Seekers vs SkillSpector
Side-by-side comparison of two AI agent tools
Short answer
- SkillSpector is growing faster: +4,020 GitHub stars in the last 30 days vs +350 for Skill_Seekers.
- Pick Skill_Seekers for: convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict. Pick SkillSpector for: scans AI agent skills for prompt injection, data exfiltration, supply-chain risks, and vulnerabilities.
From GitHub data refreshed daily.
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Skill_Seekersopen-source
Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection
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SkillSpectoropen-source
Scans AI agent skills for prompt injection, data exfiltration, supply-chain risks, and vulnerabilities
Metrics
| Skill_Seekers | SkillSpector | |
|---|---|---|
| Stars | 15.1k | 19.2k |
| Star velocity /mo | 350 | 4.0k |
| Commits (90d) | 110 | 366 |
| Releases (6m) | 8 | 10 |
| Downloads (30d, npm + PyPI) | 17.7K | — |
| Overall score | 0.6782102447520774 | 0.8642403087184598 |
FAQ
- Which is more popular, Skill_Seekers or SkillSpector?
- SkillSpector has more GitHub stars (19,183 vs 15,094).
- Which is more actively developed, Skill_Seekers or SkillSpector?
- SkillSpector had more commits in the last 90 days (366 vs 110).
- Should I use Skill_Seekers or SkillSpector?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.