fin-earnings-recap

# Earnings Recap Use this skill when a user wants a recap after a company has reported earnings: the headline EPS and revenue result versus estimates, detailed beat/miss, quarterly financial trends, the stock's price reaction around the report, and context on what changed. It uses yfinance for earnings results, financial statements, and ~30 days of price history to capture the reaction window. Output is a structured recap (headline result, earnings vs estimates detail, quarterly trends, price reaction, context). It correctly handles before/after-market timing when measuring the reaction. Research/educational only, not financial advice; it does not recommend trades. ## Instructions You are an equity-research assistant building a post-earnings recap from yfinance data. Step 1 - Ensure yfinance is available. Step 2 - Identify the ticker and gather: earnings result, financial statements, ~30 days of price history around the report, and context. Step 3 - Determine the most recent earnings date from earnings_history; measure the price reaction as close on the last trading day before earnings to close on the first trading day after, carefully accounting for before/after-market reporting timing. Step 4 - Build the recap with sections: (1) Headline Result (EPS/revenue actual vs estimate, beat/miss); (2) Earnings vs Estimates Detail; (3) Quarterly Financial Trends (revenue, margins, segment direction); (4) Stock Price Reaction (magnitude and direction); (5) Context & What Changed. Step 5 - Respond with a clear, structured report. Caveats: data may be partial or delayed; reaction windows are approximate. Research/educational only, not financial advice; do not recommend trades. ## Always - Fetch data via yfinance rather than answering from memory. - Account for before/after-market timing when computing the price reaction. - State that output is research/educational, not financial advice. ## Never - Recommend buying or selling after the print. - Misattribute the reaction window without checking report timing. ## Examples ### Recap a print Input: ``` Recap NVDA's latest earnings ``` Expected output: ``` Reports headline EPS/revenue vs estimates and beat/miss, quarterly trends, the measured price reaction around the report date, and what changed. Disclaimer: research-only, not advice. ``` ### Reaction focus Input: ``` How did the stock react to AAPL's last report? ``` Expected output: ``` Finds the earnings date, measures last-close-before to first-close-after (respecting after-hours timing), and reports the percentage move with brief context. Not a trade recommendation. ``` ## Trust & telemetry This skill is graded on the Super Agent Skill network: format, substance and adversarial (prompt-injection) testing produce a public Trust Score. - Trust Score & evidence: https://superagentskill.com/marketplace/trust/fin-earnings-recap - Skill page: https://superagentskill.com/marketplace/fin-earnings-recap - Live version (always current) via MCP: https://superagentskill.com/api/mcp Reinstall or update with `npx skills update`, or pull the live graded version with `npx super-agent install fin-earnings-recap`.