Skill comparison
Compare agent skills before installing.
Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Hayabusa is the strongest overall pick here because it has a 100/100 readiness score and fits GitHub automation.
Strongest overall
Hayabusa
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Hayabusa
Best first install candidate based on install readiness and adoption.
Freshest repo
Assemblyline
Most recent maintenance signal among this shortlist.
| Signal | AiSOC Open-source AI-powered Security Operations Center — alert fusion, purple-team drills, agent-assisted triage, MITRE ATT&CK investigation. MIT-licensed, self-hostable. | Intelmq IntelMQ is a solution for IT security teams for collecting and processing security feeds using a message queuing protocol. | Hayabusa Hayabusa (隼) is a sigma-based threat hunting and fast forensics timeline generator for Windows event logs. | Assemblyline AssemblyLine 4: File triage and malware analysis |
|---|---|---|---|---|
| Quality | 100/100 Excellent | 96/100 Excellent | 100/100 Excellent | 84/100 Strong |
| Decision verdict | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 95/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 1.4K stars 0 installs | 1.1K stars 0 installs | 3.2K stars 0 installs | 508 stars 0 installs |
| Freshness | Jun 15, 2026 | Apr 28, 2026 | Jun 7, 2026 | Jun 15, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, Incident Response, Claude Code | Python, Incident Response, Claude Code | Rust, Incident Response, Claude Code | Python, Incident Response, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Sports analytics workflows · Claude Code teams · teams that value GitHub adoption signals | Sports analytics workflows · Claude Code teams · teams that value GitHub adoption signals | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | Workflow automation workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add beenuar/AiSOC | $ npx skills add certtools/intelmq | $ npx skills add Yamato-Security/hayabusa | $ npx skills add CybercentreCanada/assemblyline |