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

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Decision summary

Daily Stock Analysis is the strongest overall pick here because it has a 100/100 readiness score and fits Finance and quant.

Strongest overall

Daily Stock Analysis

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

Fastest prototype

Daily Stock Analysis

Best first install candidate based on install readiness and adoption.

Freshest repo

khquant

Most recent maintenance signal among this shortlist.

Signalkhquant

当用户提到"回测"、"看海量化"、"kh命令"、"kh web"、"网页回测"、"跑策略"、"下载股票数据"、"查看回测结果"、"双均线"、"MACD"、"RSI策略"、"KDJ"、"布林带"、"miniQMT"、"BaoStock"、"Tushare"、"tx数据源"、"同花顺"、"扶摇"、"沪深300"、"A股"、".kh配置文件"、"策略开发"、"K线"、"DuckDB"、"量化交易"、"khHandlebar"、"khGet"、"khPrice"、"khIndex"、"khHistory"、"khDuckDB"、"khMA"、"generate_signal"、"khAddExtraFields"、"MyTT"、"技术指标"、"交易信号"时使用。本 skill 是看海量化回测平台 CLI (kh) 的自然语言入口,支持首次配置、数据管理、策略开发、桌面与网页回测、结果分析和故障排查。

Daily Stock Analysis

LLM驱动的 A/H/美股智能分析:多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送,零成本定时运行,纯白嫖. LLM-powered stock analysis system for A/H/US markets.

Qlib

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

Ccxt

A cryptocurrency trading API with more than 100 exchanges in JavaScript / TypeScript / Python / C# / PHP / Go / Java

Quality
55/100
Promising
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
54/100
Needs manual review

Do a manual repository review before adding this to an agent workflow.

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.

Adoption21 stars
Verified outcomes are shown on each skill page
52K stars
Verified outcomes are shown on each skill page
44K stars
Verified outcomes are shown on each skill page
43K stars
Verified outcomes are shown on each skill page
FreshnessOct 4, 2026Jun 29, 2026Apr 22, 2026Jul 18, 2026
Use-case fit
Workflow fit
Platform hintsClaude CodePython, Finance, Claude CodePython, Finance, Claude CodePython, Crypto Trading, Claude Code
WarningsLow GitHub adoption signal · No OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forFinance and quant workflows · Claude Code teams · builders willing to evaluate younger projectsFinance and quant workflows · Claude Code teams · teams that value GitHub adoption signalsFinance and quant workflows · Claude Code teams · teams that value GitHub adoption signalsFinance and quant workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that need a vendor-supported SLA · production agents without a repository 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
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Install
$ npx skills add khscience/khquant-skill --skill khquant
$ npx skills add ZhuLinsen/daily_stock_analysis
$ npx skills add microsoft/qlib
$ npx skills add ccxt/ccxt