10k-digest
Deep-read a 10-K annual report and output a structured markdown digest — abstract, section summaries, key metrics, and sourced…
Balance-sheet solvency and refinancing risk — debt maturity wall, interest coverage trend, leverage vs. covenants, liquidity runway, ratings and spreads, the cost of refinancing at today's rates, and an equity-holder verdict, scored as a Credit Health Score 0–10
$ npx -y skills add yennanliu/investskill --skill credit-check --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/credit-checkContext preview
The summary Claude sees to decide when to auto-load this skill.
Balance-sheet solvency and refinancing risk — debt maturity wall, interest coverage trend, leverage vs. covenants, liquidity runway, ratings and spreads, the cost of refinancing at today's rates, and an equity-holder verdict, scored as a Credit Health Score 0–10
description: Balance-sheet solvency and refinancing risk — debt maturity wall, interest coverage trend, leverage vs. covenants, liquidity runway, ratings and spreads, the cost of refinancing at today's rates, and an equity-holder verdict, scored as a Credit Health Score 0–10
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. **Pull the debt disclosures from the filings, not a data feed** — aggregator "total debt" figures routinely omit leases, mix in or leave out current maturities, and lag refinancings. Retrieve:
Any 8-K after the latest 10-Q (new notes, tender offers, revolver amendments) supersedes the footnote — check for them. 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 ⚠️ **Live data unavailable.** The following analysis uses training-data estimates which may be significantly out of date.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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English is the default. With `--lang zh-TW` — or when the user writes in Traditional Chinese and asks for a Chinese answer — write the whole analysis in Traditional Chinese (繁體中文, Taiwan usage), keeping it machine-checkable:
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Equity sits last in the capital structure. Lenders get paid first, set covenants, and — when a company cannot refinance — take the business. Most equity frameworks in this catalog treat debt as a line in the balance-sheet section or a number in the WACC; none asks the creditor's question from the shareholder's seat: **when does the debt come due, what will it cost to roll at today's rates, can the company pay it without diluting or wiping out the equity, and what does the credit market already think?**
**This skill reads the balance sheet the way a credit analyst does, then translates it back to th
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