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
EverydayWechat is the strongest overall pick here because it has a 84/100 readiness score and fits Coding agents.
Strongest overall
EverydayWechat
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
EverydayWechat
Best first install candidate based on install readiness and adoption.
Freshest repo
EverydayWechat
Most recent maintenance signal among this shortlist.
| Signal | EverydayWechat 微信助手：1.每日定时给好友（女友）发送定制消息。2.机器人自动回复好友。3.群助手功能（例如：查询垃圾分类、天气、日历、电影实时票房、快递物流、PM2.5等） |
|---|---|
| Quality | 82/100 Strong |
| Decision verdict | 84/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 10K stars 0 installs |
| Freshness | Jun 22, 2021 |
| Use-case fit | |
| Stack fit | |
| Platform hints | Python, Chatbot, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet |
| Best for | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that require actively maintained dependencies · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add sfyc23/EverydayWechat |