canslim-top100-usAnalyze the top 100 S&P 500 companies by market capitalization using CANSLIM-style signals and return a ranked shortlist in Markdown.
Install via ClawdBot CLI:
clawdbot install lkmsteven/canslim-top100-usGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://en.wikipedia.org/wiki/List_of_S%26P_500_companiesAudited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
An individual investor wants to identify high-growth S&P 500 stocks using the CANSLIM methodology to build a focused portfolio. They use this skill to automatically analyze top companies and receive a ranked shortlist based on earnings, momentum, and institutional signals, saving time on manual research.
A financial advisor needs to assess existing client holdings or suggest new additions by screening large-cap U.S. stocks for quality and momentum. This skill helps generate a data-driven shortlist with clear pass/fail metrics for each CANSLIM criterion, supporting client discussions with objective analysis.
A trading instructor uses this skill in a classroom setting to demonstrate CANSLIM principles in real-time. Students see how the script processes market data to rank stocks, learning about factors like earnings growth and institutional sponsorship through practical, hands-on analysis.
An equity analyst at a small firm leverages this skill to quickly screen the top 100 S&P 500 companies for potential investment ideas. It automates initial filtering based on CANSLIM signals, allowing the analyst to focus deeper due diligence on the highest-ranked candidates.
A fintech startup integrates this skill into a paid platform offering automated stock screening tools. Users subscribe for access to regular CANSLIM analyses, with premium features like alerts or historical comparisons, generating recurring revenue from individual investors and advisors.
A software company includes this skill as a free feature in a broader investment analysis suite to attract users. They monetize through upsells to advanced tools, data feeds, or personalized advisory services, using the CANSLIM analysis as a lead magnet for customer acquisition.
A data analytics firm licenses this skill to financial institutions, such as banks or hedge funds, for internal research and client reporting. They customize the output format and integrate it with proprietary systems, charging based on usage volume or enterprise contracts.
💬 Integration Tip
Ensure the local Python environment is properly set up with required dependencies from requirements.txt to avoid script failures, and verify file paths for analyzer.py and output JSON to maintain smooth execution.
Scored Apr 19, 2026
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