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
Awesome LLM Eval is the strongest overall pick here because it has a 69/100 readiness score and fits RAG and knowledge.
Strongest overall
Awesome LLM Eval
Prototype with this skill first; keep a fallback candidate ready.
Fastest prototype
Awesome LLM Eval
Best first install candidate based on install readiness and adoption.
Freshest repo
Awesome LLM Eval
Most recent maintenance signal among this shortlist.
| Signal | Awesome LLM Eval Awesome-LLM-Eval: a curated list of tools, datasets/benchmark, demos, leaderboard, papers, docs and models, mainly for Evaluation on LLMs. 一个由工具、基准/数据、演示、排行榜和大模型等组成的精选列表，主要面向基础大模型评测，旨在探求生成式AI的技术边界. |
|---|---|
| Quality | 67/100 Promising |
| Decision verdict | 69/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. |
| Adoption | 642 stars 0 installs |
| Freshness | Nov 24, 2025 |
| Use-case fit | |
| Stack fit | |
| Platform hints | RAG, Claude Code, OpenAI Agents |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | RAG and knowledge 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 |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add onejune2018/Awesome-LLM-Eval |