claw-screenerStock screener combining Williams %R oversold signals with Warren Buffett-style fundamental analysis. Supports US (S&P 500) and Thai (SET) markets.
Install via ClawdBot CLI:
clawdbot install rsoutar/claw-screenerGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
curl -fsSL https://bun.sh/install | bashCalls external URL not in known-safe list
https://github.com/rsoutar/claw-screenerUses known external API (expected, informational)
raw.githubusercontent.comAI Analysis
The skill's external API usage (GitHub, raw.githubusercontent.com) is consistent with its stated purpose for fetching code and data, and no evidence of credential harvesting, data exfiltration, or hidden malicious instructions was found. The flagged shell command for installing Bun is a standard, documented installation method and not inherently malicious within this context.
Generated Mar 1, 2026
A value investor uses the combined screening tool to identify oversold stocks with strong fundamentals in the US market, setting a minimum Buffett score of 7 to filter for high-quality opportunities. They run daily scans to find potential buys during market dips, focusing on long-term holdings based on Warren Buffett's principles.
A technical trader employs the technical-only scan to quickly spot oversold stocks using Williams %R below -80 in the Thai market, aiming for short-term bounce trades. They adjust thresholds to -70 for more signals and use JSON output for automated analysis in their trading systems.
An individual investor analyzes single stocks like AAPL or PTT.BK using the analyze tool to assess Buffett's 10 formulas, gaining insights into financial health for portfolio decisions. They output results in Telegram format for easy sharing with investment groups.
A long-term investor runs the compounding machine scan on a curated list of US stocks to find companies with high ROIC, strong margins, and buyback trends, using cached data for efficiency. They start with a small max-tickers test to avoid long wait times before full scans.
A retail investor manages a watchlist of tech stocks, adding tickers with notes and setting alert thresholds for oversold conditions to receive timely notifications. They regularly update the list and use the tool to monitor market movements without constant manual checking.
Offer premium access to advanced screening tools and real-time alerts via a monthly subscription, targeting individual investors and small funds. Revenue streams include tiered plans with features like unlimited scans, priority support, and API access for integration.
Provide basic screening tools for free to attract users, with paid upgrades for advanced analytics, detailed reports, and watchlist alerts. Monetize through in-app purchases, affiliate links to brokerages, and data licensing to financial institutions.
License the screening algorithms and data outputs to financial firms, hedge funds, and fintech companies for internal use or client-facing products. Generate revenue through annual contracts, custom development fees, and white-label solutions.
💬 Integration Tip
Ensure all required files like ~/.claw-screener-watchlist.json and cache databases are properly set up before running tools to avoid runtime errors.
Scored Apr 20, 2026
Audited Apr 17, 2026 · audit v1.0
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