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
Moss is the strongest overall pick here because it has a 79/100 readiness score and fits RAG and knowledge.
Strongest overall
Moss
Shortlist this skill and compare it with close alternatives before production adoption.
Fastest prototype
Moss
Best first install candidate based on install readiness and adoption.
Freshest repo
Moss
Most recent maintenance signal among this shortlist.
| Signal | Moss The retrieval layer for production AI systems. Lightning-fast (<10ms) search without vector databases. Built for browser, edge, on-device, and cloud. |
|---|---|
| Quality | 80/100 Strong |
| Decision verdict | 79/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. |
| Adoption | 421 stars 0 installs |
| Freshness | Jun 16, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Python, Semantic Search, Claude Code, Browser agents |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | RAG and knowledge 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 usemoss/moss |