valuation-analyst

Performs equity valuation using comps, DCF, and Bear/Base/Bull scenario analysis.

Updated May 9, 2026
One-click install
npx skills add https://github.com/122yjs/invest_harness --skill valuation-analyst-122yjs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: valuation-analyst
Source: https://github.com/122yjs/invest_harness/tree/main/plugins/vertical-plugins/invest-research/skills/valuation-analyst
Command: npx skills add https://github.com/122yjs/invest_harness --skill valuation-analyst-122yjs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? It produces the Part VIII valuation section of an equity research report, turning raw market data and financial statements into structured relative valuation, DCF estimates, and scenario-based fair value ranges with documented assumptions. ## Core Features & Use Cases - Relative Valuation (Comps): Compares PER, Forward PER, PBR, PSR, EV/EBITDA, EV/Sales, and FCF Yield against 3-5 peer companies, including recent quarterly YoY/QoQ growth and margin context. - DCF and Simplified DCF: Builds 5-year DCF or FCF-yield-based estimates with a fully decomposed WACC (risk-free rate, ERP, beta, country risk premium, capital structure weights) and growth-reinvestment-ROIC consistency checks. - Scenario Valuation and Rating Inputs: Produces Bear/Base/Bull fair value ranges, implied upside/downside, and a Rating plus Price Target rationale, saved to ${ACTIVE_WORKSPACE}/03_valuation/findings.md. - Use Case: Given a ticker like AAPL with a market price snapshot and recent financials in the workspace, generate a complete valuation findings file with peer multiples, a cross-validated DCF, sensitivity matrices, and a dashboard data block for HTML report rendering. ## Quick Start Run the valuation-analyst skill on the current workspace to produce the Part VIII valuation findings for the target company.

Frequently Asked Questions about valuation-analyst

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I perform a DCF valuation for a listed company?▼

This skill builds a 5-year DCF by first mapping the business narrative to quantitative assumptions, then decomposing WACC into risk-free rate, ERP, beta, and capital structure weights. It cross-checks growth assumptions against reinvestment rate times ROIC to avoid inconsistent scenarios.

How to compare a stock's valuation against peer companies?▼

The comps workflow selects 3-5 peers with similar business models and compares PER, Forward PER, PBR, PSR, EV/EBITDA, EV/Sales, and FCF Yield alongside quarterly YoY/QoQ growth and margins. It then interprets whether any premium or discount is justified by fundamentals.

What data sources does this valuation workflow use?▼

It uses yfinance tools for global market multiples and financials, and official DART/KRX data for Korean listed companies where available. Company filings such as SEC EDGAR or DART are treated as primary evidence, with vendor data used only for cross-checking.

Can it handle missing or unreliable financial data?▼

Yes. Missing items are marked as unconfirmed or requiring further verification rather than estimated arbitrarily. When data is insufficient for a full DCF, it falls back to an FCF-yield-based simplified DCF or a conservative valuation range.

What outputs does the valuation analysis produce?▼

It writes findings to 03_valuation/findings.md, with optional comps.md and dcf.md files. The findings include market metrics, peer tables, DCF assumptions and results, scenario valuations, sensitivity matrices, and a YAML dashboard data block for HTML report rendering.