Public repository for Agent Skills
company-valuation
Agent skill fromhimself65/finance-skills
Estimate a public company's intrinsic value with DCF, relative (peer multiple), and sum-of-the-parts (SOTP) methods, then blend them into an implied share price with upside/downside vs the market price, a WACC and terminal-growth sensitivity grid, and bull/base/bear scenarios. Use this skill whenever the user asks what a company or ticker is worth: fair value, intrinsic value, implied share price, a price target from fundamentals, whether it is overvalued or undervalued, building a DCF (WACC, terminal value, discounted cash flow), EV/EBITDA or P/E based targets, peer comparison valuation, or SOTP and conglomerate discounts. Run the model rather than answering valuation questions from memory.
How to install company-valuation
npx skills add himself65/finance-skills# or add only this skill to Claude Code: copy the folder
plugins/market-analysis/skills/company-valuation/
# into
~/.claude/skills/company-valuation/ (all projects)
.claude/skills/company-valuation/ (one project)
1# Company Valuation23If 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.45Triangulates intrinsic value via three methods, then blends them to an implied share price:671. **DCF** — 5-year FCFF projection, discount at WACC, terminal value.82. **Relative** — apply peer median P/E, EV/Revenue, EV/EBITDA.93. **SOTP** — when 2+ distinct reporting segments exist, value each at pure-play peer multiples.1011Always present a WACC × terminal-growth sensitivity table and Bull/Base/Bear scenarios.1213**Disclaimer**: Research/educational output. Not financial advice.1415---1617## Step 1: Detection Flow1819Detect data source and runtime deps. The skill supports 2 method paths — pick the richest one available.2021**Environment status:**2223```24!`python3 -c "exec('try:\n import yfinance, numpy, pandas\n print(\'YFIN_OK\')\nexcept Exception:\n print(\'YFIN_MISSING\')')"`25```2627```28!`python3 -c "exec('try:\n import yfinance as yf\n t=yf.Ticker(\'^TNX\')\n p=t.fast_info.last_price\n print(f\'RF_10Y={p/100:.4f}\')\nexcept Exception:\n print(\'RF_FETCH_FAIL\')')"`29```3031**Decision tree:**3233| Condition | Method path |34|---|---|35| `YFIN_OK` | **Path A** (primary): yfinance for financials + peer multiples |36…
Excerpt shown under the repository's MIT license.
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