
If you need to actually build a valuation model instead of guessing at a price target, this runs DCF, relative peer multiples, and sum-of-parts when applicable, then triangulates to an implied share price with upside or downside. It pulls live financials via yfinance, calculates WACC from current treasury rates, projects five years of free cash flow with sensible margin assumptions, and spits out a sensitivity table so you can see how terminal growth and discount rate swings move the number. The methodology is vanilla investment banking but automated, which means you get a real model in seconds instead of hours in Excel. It won't replace judgment on qualitative factors, but it handles the mechanical lifting and flags when assumptions look off.
$ npx -y skills add himself65/finance-skills --skill company-valuation --agent claude-codeInstalls into .claude/skills of the current project.
If your host has not already executed the shell probes below (for example, in Codex), run the commands inside the ! wrappers with its shell tool before choosing a setup path. Use the actual output; if shell access is unavailable, report that limitation.
Triangulates intrinsic value via three methods, then blends them to an implied share price:
Always present a WACC × terminal-growth sensitivity table and Bull/Base/Bear scenarios.
Disclaimer: Research/educational output. Not financial advice.
Detect data source and runtime deps. The skill supports 2 method paths — pick the richest one available.
Environment status:
!`python3 -c "exec('try:\n import yfinance, numpy, pandas\n print(\'YFIN_OK\')\nexcept Exception:\n print(\'YFIN_MISSING\')')"`
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