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.

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Decision summary

Scrapling is the strongest overall pick here because it has a 100/100 readiness score and fits Web scraping.

Strongest overall

Scrapling

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

Fastest prototype

Scrapling

Best first install candidate based on install readiness and adoption.

Freshest repo

Scrapling

Most recent maintenance signal among this shortlist.

SignalEasydict

一个简洁优雅的词典翻译 macOS App。开箱即用,支持离线 OCR 识别,支持有道词典,🍎 苹果系统词典,🍎 苹果系统翻译,OpenAI,Gemini,DeepL,Google,Bing,腾讯,百度,阿里,小牛,彩云和火山翻译。A concise and elegant Dictionary and Translator macOS App for looking up words and translating text.

Scrapling

Adaptive web scraping for agent data collection

Data Science For Beginners

10 Weeks, 20 Lessons, Data Science for All!

Echarts

Apache ECharts is a powerful, interactive charting and data visualization library for browser

Quality
100/100
Excellent
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
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.

100/100
Production-ready

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

Adoption14K stars
Verified outcomes are shown on each skill page
70K stars
Verified outcomes are shown on each skill page
36K stars
Verified outcomes are shown on each skill page
67K stars
Verified outcomes are shown on each skill page
FreshnessJun 21, 2026Jul 15, 2026Jun 10, 2026Jun 2, 2026
Use-case fit
Workflow fit
Platform hintsSwift, OCR, Claude Code, OpenAI AgentsPython, Web Automation, RAG, Claude Code, Browser agentsJupyter Notebook, Data Analysis, Claude CodeTypeScript, Data Visualization, Claude Code, Browser agents
WarningsNo major risk signals from current metadataNo major risk signals from current metadataNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forDocument processing workflows · Claude Code teams · teams that value GitHub adoption signalsWeb scraping workflows · Claude Code teams · teams that value GitHub adoption signalsData analysis workflows · Claude Code teams · teams that value GitHub adoption signalsData analysis workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement15 views
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Install
$ npx skills add tisfeng/Easydict
$ npx skills add D4Vinci/Scrapling
$ npx skills add microsoft/Data-Science-For-Beginners
$ npx skills add apache/echarts