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

Strongest overall

OpenHands

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

OpenHands

Best first install candidate based on install readiness and adoption.

Freshest repo

Rtk

Most recent maintenance signal among this shortlist.

Signal	TokenTamer A drop-in proxy that compresses bloated code context in real-time, cutting LLM API costs by 50–80% without losing what the model actually needs to know.	Rtk CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies	SWE Agent SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]	OpenHands 🙌 OpenHands: AI-Driven Development
Quality	72/100 Strong	100/100 Excellent	100/100 Excellent	100/100 Excellent
Decision verdict	71/100 Prototype first Prototype with this skill first; keep a fallback candidate ready.	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.
Adoption	122 stars Verified outcomes are shown on each skill page	64K stars Verified outcomes are shown on each skill page	20K stars Verified outcomes are shown on each skill page