10k-digest
Deep-read a 10-K annual report and output a structured markdown digest — abstract, section summaries, key metrics, and sourced…
Evaluate US stocks with comprehensive fundamental and valuation analysis
$ npx -y skills add yennanliu/investskill --skill stock-eval --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/stock-evalContext preview
The summary Claude sees to decide when to auto-load this skill.
Evaluate US stocks with comprehensive fundamental and valuation analysis
description: Evaluate US stocks with comprehensive fundamental and valuation analysis
Before running any analysis, always retrieve the latest market data for the ticker:
1. **Fetch current price** — use web search or ask the user for the live price, 52-week range, and market cap. Never assume a price from training data. 2. **Confirm key figures** — recent earnings, revenue, key ratios (P/E, P/S, etc.) as applicable to this skill. 3. **State your data source** — fill in the `Data & Sources` header (next section) so the origin, as-of date, retrieval path, and confidence of every figure are explicit at the top of the output. 4. **Flag stale data explicitly** — if live data is unavailable, display this warning before proceeding:
> ⚠️ **Live data unavailable.** The following analysis uses training-data estimates which may be significantly out of date. Verify all prices and metrics before making any decisions.
Never silently substitute training-data estimates for current prices. When in doubt, ask the user to paste the latest quote.
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The first thing in the output is this provenance block, filled in — never left as placeholders. It is the standard documented on the [Data & Accuracy](https://yennanliu.github.io/InvestSkill/data-and-accuracy.html) page and the first thing `result-validator` looks for:
Data & Sources As of: <date the figures represent, e.g. 2026-06-30> Source: <primary docs — SEC EDGAR 10-K/10-Q, company IR, FRED, exchange data …> Retrieval: <pasted by user | web/tool retrieval | model memory> Confidence: <HIGH | MEDIUM | LOW>
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Perform comprehensive stock evaluation combining fundamental analysis, valuation modeling, quality scoring, and risk assessment to produce investment-grade conclusions.
| Metric | Current | 1-Year Ago | 5-Year Avg | Sector Avg | |-----------------|---------|------------|------------|------------| | P/E (TTM) | | | | | | P/E (Forward) | | | | | | PEG Ratio | | | | | | Price/Book | | | | | | Price/Sales | | | | | | EV/EBITDA | | | | | | EV/FCF | | | | | | Dividend Yield | | | | | | Payout Ratio | | | | |
| Ratio | Current | Industry Avg | Assessment | |------------------------|---------|--------------|------------| | Return on Equity (ROE) | | | | | Return on Assets (ROA) | | | | | Return on Inv. Capital | | | | | Gross Margin | | | | | Operating Margin | | | | | Net Margin | | | | | Current Ratio | | | | | Quick Ratio | | | | | Debt-to-Equity | | | | | Interest Coverage | | | | | Asset Turnover | | | |
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This section provides line-item rigor absorbed from dedicated fundamental analysis workflows. Use when a deeper statement-level breakdown is required.
**Revenue Analysis**
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