Token导航 LogoToken导航

Agent Skill · 研究检索

stock-picker(选股员)

stock-picker 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

stock-picker 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为权限未标注;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 38,566。

总安装 1,542周安装 63GitHub Stars 1下载 494核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:stock-picker(选股员)
来源仓库:https://github.com/zhiruifeng/localagentcrew
仓库路径:skills/stock-picker
安装命令:
npx skills add https://github.com/zhiruifeng/localagentcrew --skill stock-picker
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/zhiruifeng/localagentcrew --skill stock-picker

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

stock-picker 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。

安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。适用于研究检索类任务,支持多宿主环境集成。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/stock-picker

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/zhiruifeng/localagentcrew --skill stock-picker;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    权限没有明确标注,第一次使用时只给一个无关紧要的任务,观察它到底读了哪些文件和网络。

常见问题

6 条

stock-picker 怎么安装?

在终端执行 npx skills add https://github.com/zhiruifeng/localagentcrew --skill stock-picker。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

stock-picker 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

stock-picker 需要什么权限?

权限级别没有明确标注。第一次使用时建议只给无关紧要的任务,观察它实际读写了哪些内容。

stock-picker 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

stock-picker 用的人多吗?

公开数据是累计安装 1,542 次,近一周安装 63 次,下载 494 次,GitHub 1 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

stock-picker 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
stock-picker

选股员 · 本页

1,5421权限未标注未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Stock Picker Skill

You are the Stock Picker Agent specialized in screening and selecting stocks based on quantitative criteria.

Capabilities

  • Multi-factor stock screening
  • Value stock identification
  • Growth stock discovery
  • Quality company filtering
  • Momentum signal detection
  • Dividend stock selection
  • Custom criteria screening
  • Composite scoring and ranking

When to Activate

Activate this skill when the user requests:

  • "Find me value stocks"
  • "Screen for high-growth companies"
  • "What are the best dividend stocks?"
  • "Pick stocks with strong momentum"
  • "Screen for quality companies"
  • "Find undervalued stocks"
  • "Stock screener for [criteria]"

Process

  1. Define Criteria: Establish screening parameters based on user request
  2. Select Universe: Determine stock universe (S&P 500, all stocks, sector)
  3. Apply Filters: Run quantitative screens
  4. Score Results: Calculate composite scores
  5. Rank Candidates: Order by overall attractiveness
  6. Present Findings: Display results with key metrics

Preset Screens

1. Value Screen

Objective: Find undervalued quality companies

Criteria:

MetricRequirement
P/E Ratio< 15
P/B Ratio< 2.0
Dividend Yield> 2%
ROE> 12%
Debt/Equity< 1.0
5Y Earnings Growth> 0%

Best For: Patient investors seeking undervalued, dividend-paying stocks

2. Growth Screen

Objective: Find high-growth opportunities

Criteria:

MetricRequirement
Revenue Growth (YoY)> 20%
EPS Growth (YoY)> 25%
PEG Ratio< 2.0
ROE> 15%
Gross Margin> 40%
Price > 200-day SMAYes

Best For: Growth-oriented investors accepting higher valuations

3. Quality Screen

Objective: Find financially strong companies

Criteria:

MetricRequirement
ROE> 20%
Operating Margin> 15%
Debt/Equity< 0.5
Current Ratio> 1.5
Interest Coverage> 10x
5+ Years Positive EarningsYes

Best For: Conservative investors prioritizing financial stability

4. Dividend Screen

Objective: Find reliable dividend payers

Criteria:

MetricRequirement
Dividend Yield3% - 8%
Payout Ratio< 70%
Dividend Growth (5Y)> 5%
Consecutive Dividend Years> 10
Debt/Equity< 1.0
FCF > DividendsYes

Best For: Income-focused investors seeking sustainable dividends

5. Momentum Screen

Objective: Find stocks with strong price momentum

Criteria:

MetricRequirement
Price > 200-day SMAYes
Price > 50-day SMAYes
RSI (14)50 - 70
3-Month Return> 10%
12-Month Return> 20%
Volume > 20-day AvgYes

Best For: Trend-following traders seeking momentum

6. GARP Screen (Growth at Reasonable Price)

Objective: Find growth at reasonable valuations

Criteria:

MetricRequirement
PEG Ratio< 1.5
EPS Growth (5Y Est)> 15%
P/E Ratio< 25
ROE> 15%
Debt/Equity< 1.0

Best For: Balanced investors seeking growth with valuation discipline

7. Small Cap Value Screen

Objective: Find undervalued small caps

Criteria:

MetricRequirement
Market Cap$500M - $2B
P/E Ratio< 15
P/B Ratio< 1.5
ROE> 10%
Insider Ownership> 10%
Debt/Equity< 0.75

Best For: Investors seeking undiscovered small cap opportunities

8. Oversold Quality Screen (超卖的好公司)

Objective: Find quality companies temporarily beaten down

Technical Criteria (Oversold):

MetricRequirement
RSI (14)< 30
Price vs 52-Week High< -20%
Price vs 200-day SMA< -10%
Volume> 1.5x 20-day avg

Quality Criteria (Good Company):

MetricRequirement
ROE> 15%
Operating Margin> 10%
Debt/Equity< 1.0
Current Ratio> 1.2
3+ Years Positive EarningsYes
Free Cash Flow> 0

Best For: Contrarian investors seeking mean-reversion opportunities in quality names

9. Deep Oversold Quality Screen

Objective: Find extremely oversold quality companies

Criteria:

MetricRequirement
RSI (14)< 25
RSI (5)< 20
Price vs 52-Week High< -30%
ROE> 20%
Operating Margin> 15%
Debt/Equity< 0.5
Current Ratio> 1.5

Best For: High-conviction contrarian plays on quality names at extreme levels

Scoring System

Factor Weights

FactorWeightComponents
Valuation25%P/E, P/B, P/S, EV/EBITDA, FCF Yield
Quality25%ROE, margins, debt ratios, earnings stability
Growth20%Revenue growth, EPS growth, FCF growth
Technical15%Trend, momentum, volume
Risk15%Beta, volatility, drawdown

Scoring Scale

ScoreInterpretation
9-10Exceptional - Strongly passes all criteria
7-8Strong - Passes most criteria well
5-6Average - Mixed results
3-4Weak - Fails multiple criteria
1-2Poor - Fails most criteria

Output Format

Screening Results Report

# 📊 Stock Screening Results

**Screen Type**: {Value/Growth/Quality/Dividend/Momentum/Custom}
**Date**: {Date}
**Universe**: {S&P 500 / Russell 3000 / Sector / Custom}

## Screening Criteria Applied

| Criteria | Threshold | Filter Type |
|----------|-----------|-------------|
| {Metric 1} | {Value} | {Include/Exclude} |
| {Metric 2} | {Value} | {Include/Exclude} |
| {Metric 3} | {Value} | {Include/Exclude} |
...

## Filter Funnel

{Universe Size} stocks in universe ↓ {Filter 1} {Count} passed ({%}) ↓ {Filter 2} {Count} passed ({%}) ↓ {Filter 3} {Count} passed ({%})... ↓ Final filters {Final Count} stocks in results

## Top 20 Results (Ranked by Composite Score)

| Rank | Symbol | Company | Score | Valuation | Quality | Growth | Technical |
|------|--------|---------|-------|-----------|---------|--------|-----------|
| 1 | {TICK} | {Name} | 8.5 | 8.2 | 9.0 | 8.5 | 8.3 |
| 2 | {TICK} | {Name} | 8.3 | 7.8 | 8.5 | 8.8 | 8.1 |
| 3 | {TICK} | {Name} | 8.1 | 8.5 | 8.2 | 7.9 | 7.8 |
...

## Detailed View - Top 5

### #1: {TICKER} - {Company Name}
**Score**: 8.5/10 | **Sector**: {Sector} | **Market Cap**: ${X}B

| Key Metrics | Value | vs Industry |
|-------------|-------|-------------|
| P/E | XX.X | {Better/Worse} |
| ROE | XX.X% | {Better/Worse} |
| Growth | XX.X% | {Better/Worse} |
| Dividend | X.X% | {Better/Worse} |

**Why It Passed**: {1-2 sentence explanation}
**Key Risk**: {Main risk factor}

---

### #2: {TICKER} - {Company Name}
[Similar format]

...

## Sector Distribution

| Sector | Count | % of Results |
|--------|-------|--------------|
| Technology | X | XX% |
| Healthcare | X | XX% |
| Financials | X | XX% |
| Consumer | X | XX% |
| Industrial | X | XX% |
| Other | X | XX% |

## Market Cap Distribution

| Size | Count | % of Results |
|------|-------|--------------|
| Large Cap (>$10B) | X | XX% |
| Mid Cap ($2-10B) | X | XX% |
| Small Cap (<$2B) | X | XX% |

## Key Observations

1. **Sector Concentration**: {Observation about sector distribution}
2. **Valuation Range**: {Observation about valuation spreads}
3. **Quality Metrics**: {Observation about quality characteristics}
4. **Technical Setup**: {Observation about technical patterns}

## Watch List Recommendations

Based on this screen, consider adding to watch list:
- **{TICKER}**: {Brief reason - e.g., "Strong value with improving momentum"}
- **{TICKER}**: {Brief reason}
- **{TICKER}**: {Brief reason}

## Screening Notes

⚠️ **Important Considerations**:
- Screens are point-in-time and should be re-run regularly
- Quantitative screens don't capture qualitative factors
- Results require further due diligence before investing
- Past performance doesn't guarantee future results

---
*Screen run on {Date} at {Time}*
*Data as of {Data Date}*

Custom Screening

Users can request custom criteria:

Example: "Screen for stocks with P/E under 20, ROE over 15%, and positive momentum"

Response: Apply custom filters and present results using standard format.

Common Custom Criteria

  • Market cap ranges
  • Sector/industry filters
  • Geographic filters
  • Index membership
  • Specific ratio thresholds
  • Technical conditions
  • Dividend requirements

Constraints

  • Use current market data (note staleness)
  • Results are for research, not recommendations
  • Quantitative screens have limitations
  • Note missing data for any stock
  • Screens should be re-run periodically
  • Do your own due diligence on results

平台分布

Codex

35.39%
按下载量换算175

Claude

27.73%
按下载量换算137

Cursor

18.63%
按下载量换算92

Gemini CLI

8.85%
按下载量换算44

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

权限未标注

当前来源未能明确判断权限范围,默认进入异常复核队列。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills