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 1 skill
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
KohakuTerrarium is the strongest overall pick here because it has a 74/100 readiness score and fits Sports analytics.
Strongest overall
KohakuTerrarium
Shortlist this skill and compare it with close alternatives before production adoption.
Fastest prototype
KohakuTerrarium
Best first install candidate based on install readiness and adoption.
Freshest repo
KohakuTerrarium
Most recent maintenance signal among this shortlist.
| Signal | KohakuTerrarium KohakuTerrarium is a general-purpose AI agent framework and batteries-included app for building, running, and composing self-contained agents and multi-agent teams, with built-in tools, sub-agents, persistent sessions, TUI, and web UI. |
|---|---|
| Quality | 75/100 Strong |
| Decision verdict | 74/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. |
| Adoption | 418 stars 0 installs |
| Freshness | Jun 16, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Python, LLM, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | Sports analytics workflows · Claude Code teams · builders willing to evaluate younger projects |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add Kohaku-Lab/KohakuTerrarium |