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Agent Skill · 研究检索

claw-screener(爪式筛分机)

claw-screener 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

claw-screener 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,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 6,319。

总安装 22,571周安装 922GitHub Stars 公开资料未说明下载 7,228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
MIT-0
版本
1.0.3

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:claw-screener(爪式筛分机)
来源仓库:https://github.com/rsoutar/claw-screener
安装命令:
openclaw skills install claw-screener
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install claw-screener

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。

股票筛选器将威廉姆斯 %R 超卖信号与沃伦·巴菲特式的基本面分析相结合。支持美国 (S&P 500) 和泰国 (SET) 市场。

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 OpenClaw;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 openclaw skills install claw-screener;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

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

claw-screener 怎么安装?

在终端执行 openclaw skills install claw-screener。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

claw-screener 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

claw-screener 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

claw-screener 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

claw-screener 用的人多吗?

公开数据是累计安装 22,571 次,近一周安装 922 次,下载 7,228 次。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。

claw-screener 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

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 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

  • 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 OpenClaw,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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 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
claw-screener

爪式筛分机 · 本页

22,571—需要联网MIT-0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

name
claw-screener
description
Stock screener combining Williams %R oversold signals with Warren Buffett-style fundamental analysis. Supports US (S&P 500) and Thai (SET) markets.
homepage
https://github.com/rsoutar/claw-screener
metadata
clawdbot
emoji
📊
requires
env
[]
files
runtime
bun >=1.3.1
config_paths
~/.claw-screener-watchlist.json

Claw-Screener

A stock screener that combines technical analysis (Williams %R oversold signals) with Warren Buffett-style fundamental analysis using SEC data. Supports US (S&P 500) and Thai (SET) markets.

When to Use This Skill

Use this skill when you need to:

  • Find oversold stocks with strong fundamentals
  • Screen for quality stocks using Buffett's 10 formulas
  • Screen for long-term compounders using Carlson filters (ROIC, growth, buybacks)
  • Analyze individual stocks for investment decisions
  • Get daily stock screening results in text, JSON, or Telegram format

Tools

This skill provides the following capabilities:

1. Combined Screening

Finds stocks that are both technically oversold (Williams %R < -80) and fundamentally strong (Buffett score >= threshold).

Command:

bun run src/screening.ts [options]

Options:

FlagDescriptionDefault
--marketMarket: us or bkus
--min-scoreMinimum Buffett score (0-10)5
--top-nNumber of results to show10
--formatOutput: text, json, telegramtext

Examples:

bun run src/screening.ts
bun run src/screening.ts --market us --min-score 7 --top-n 5
bun run src/screening.ts --market bk
bun run src/screening.ts --format json
bun run src/screening.ts --format telegram

2. Technical Only Scan

Fast oversold scan using Williams %R indicator only. No SEC data required. Works for both US and Thai markets.

Command:

bun run src/technicalOnly.ts [options]

Options:

FlagDescriptionDefault
--marketMarket: us or bkus
--thresholdWilliams %R threshold-80
--top-nNumber of results to show20
--formatOutput: text, json, telegramtext

Examples:

bun run src/technicalOnly.ts
bun run src/technicalOnly.ts --threshold -70 --top-n 50
bun run src/technicalOnly.ts --market bk

3. Analyze Stock

Deep analysis of a single stock using Buffett's 10 formulas.

Command:

bun run src/analyze.ts <ticker> [options]

Options:

FlagDescriptionDefault
--formatOutput: text, json, telegramtext

Examples:

bun run src/analyze.ts AAPL
bun run src/analyze.ts MSFT --format telegram
bun run src/analyze.ts GOOGL --format json
bun run src/analyze.ts PTT.BK

4. Compounding Machine

Screens for "compounders" using Carlson-style filters:

  • Revenue and net income YoY trend strength
  • ROIC threshold (default >15%)
  • Share count reduction over 3 years (buyback signal)
  • Operating margin threshold (default >20%)
  • Includes current yield vs 5-year average and a simple 10-year DCF context

Command:

bun run src/compoundingMachine.ts [options]

Options:

FlagDescriptionDefault
--marketMarket universe: us or bkus
--tickersComma-separated tickers (overrides market universe)-
--max-tickersLimit universe sizeall
--top-nNumber of passing stocks to show25
--concurrencyParallel fetch workers4
--formatOutput: text or jsontext
--db-pathSQLite cache pathsec_cache.db
--ttl-daysCache TTL in days7
--min-roicROIC threshold (%)15
--min-op-marginOperating margin threshold (%)20
--min-buybackRequired 3Y share reduction (%)2
--show-rejectedInclude failed tickers with reasons in outputoff

Examples:

bun run src/compoundingMachine.ts
bun run src/compoundingMachine.ts --tickers AAPL,MSFT,NVDA --top-n 10
bun run src/compoundingMachine.ts --format json --max-tickers 100
bun run src/compoundingMachine.ts --tickers PLTR --show-rejected

Runtime / Caching Notes:

  • First uncached run on full US universe can take ~20-30+ minutes.
  • This is expected: each ticker requires multiple Yahoo fundamentals/quote requests and retry backoff for rate-limit resilience.
  • Subsequent runs are much faster due to SQLite caching (sec_cache.db, TTL default 7 days).
  • For quick checks, run smaller scans first (for example --max-tickers 50 or specific --tickers).

Agent Guidance for User Messaging:

  • If user runs full-universe Compounding Machine scan, explicitly warn that initial run may take ~20-30 minutes.
  • Suggest quick-test alternatives while waiting:

- bun run src/compoundingMachine.ts --max-tickers 50 - bun run src/compoundingMachine.ts --tickers AAPL,MSFT,NVDA

5. Watchlist Management

Track stocks you're interested in and get alerts when they become oversold or overbought.

Command:

bun run src/watchList.ts <command> [options]

Commands:

CommandDescription
add <ticker>Add a stock to your watchlist
remove <ticker>Remove a stock from your watchlist
listShow all watched stocks

Options:

FlagDescriptionDefault
`--market us\th`Market: us (US) or th (Thai)us
--notes '...'Optional notes for the stock-
--alert-thresholdWilliams %R threshold for alerts-

Examples:

bun run src/watchList.ts add AAPL
bun run src/watchList.ts add AAPL --market us --notes 'Big tech'
bun run src/watchList.ts add PTT.BK --market th
bun run src/watchList.ts remove AAPL
bun run src/watchList.ts list
bun run src/watchList.ts list --market us

Storage: Watchlist is saved to ~/.claw-screener-watchlist.json

Buffett's 10 Formulas

The fundamental analysis evaluates stocks against Warren Buffett's criteria:

#FormulaTargetDescription
1Cash Test> Total DebtCash covers all debt
2Debt-to-Equity< 0.5Low leverage
3Return on Equity> 15%Efficient use of capital
4Current Ratio> 1.5Short-term liquidity
5Operating Margin> 12%Operational efficiency
6Asset Turnover> 0.5Asset efficiency
7Interest Coverage> 3xAbility to pay interest
8Earnings StabilityPositiveConsistent profitability
9Free Cash Flow> 0Cash generation
10Capital Allocation> 15% ROEManagement effectiveness

Scoring: Each passing formula earns 1 point. Maximum score: 10/10.

Technical Indicator

Williams %R (Williams Percent Range)

  • Range: -100 to 0
  • Oversold: < -80 (potential buy signal)
  • Overbought: > -20 (potential sell signal)

Combined Score Formula

Combined score = (Technical Score × 0.3) + (Fundamental Score × 0.7)

  • Technical Score: (Williams %R + 100) / 100
  • Fundamental Score: (Buffett Score / 10) × 100

Data Sources

  • US Stocks: SEC EDGAR for fundamentals, Yahoo Finance for prices
  • Thai Stocks: Yahoo Finance only (no SEC data available)

Installation

Runtime Requirements

  • Bun (>=1.3.1) - Required runtime for executing TypeScript scripts
  • Node.js is NOT required as Bun provides all necessary runtime functionality

Install Bun

If you don't have Bun installed, run:

# macOS/Linux
curl -fsSL https://bun.sh/install | bash

# Windows (PowerShell)
iwr https://bun.sh/install -outfile "install.ps1"; ./install.ps1

Install Dependencies

bun install

File Persistence

This skill creates and manages the following files:

FileLocationPurposeTTL
Watchlist~/.claw-screener-watchlist.jsonUser's stock watchlistPermanent
SEC Cachesec_cache.dbCached SEC EDGAR financial data7 days (default)
Price Cacheprice_cache.dbCached stock price data1 day (default)

Cache Management

  • Cache files are automatically created on first run
  • Use --ttl-days flag with compounding machine to adjust cache TTL
  • Cache files can be deleted to force fresh data fetch
  • Cache improves performance significantly on subsequent runs

Notes

  • First run on full US universe can take ~20-30+ minutes (expected behavior)
  • Subsequent runs are much faster due to caching
  • For quick tests, use --max-tickers 50 or specific --tickers

Bun Scripts

bun run dev              # Run screening (alias for bun run src/screening.ts)
bun run screening        # Run combined screening
bun run technical        # Run technical-only scan
bun run analyze          # Analyze a stock (requires ticker argument)
bun run compounder       # Run Compounding Machine screener
bun run watchlist:add    # Add stock to watchlist
bun run watchlist:remove # Remove stock from watchlist
bun run watchlist:list   # List watched stocks

Output Format Examples

Text (Default)

📊 Combined Quality Screening (US (S&P 500))
Technical: Oversold signals (Williams %R < -80)
Fundamental: Warren Buffett's 10 formulas on SEC data
Minimum Buffett Score: 5/10

Results:
  Total Scanned: 503
  Oversold Found: 42
  Quality Stocks: 8 (Buffett ≥5/10)

Top 10 Opportunities:

1. AAPL   — Combined: 85.2% | Buffett: 8/10 | WR: -82.3
2. MSFT   — Combined: 79.1% | Buffett: 7/10 | WR: -85.1

Telegram

📊 Combined Quality Screening (US (S&P 500))
Scanned: 503 stocks
Oversold: 42
Quality (Buffett ≥5/10): 8

🌟 Top 10 Quality Opportunities:

1. **AAPL** — Combined: 85% | Buffett: 8/10 | WR: -82.3
2. **MSFT** — Combined: 79% | Buffett: 7/10 | WR: -85.1

平台分布

OpenClaw

90.94%
按下载量换算6,573

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。

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