Agent skill

Dcf Valuation

by edinetdb in edinetdb/dexter-jp

Performs discounted cash flow (DCF) valuation analysis to estimate intrinsic value per share for Japanese listed companies.

MITAuto-check passedBusiness, Finance & HR

Install Dcf Valuation

skills CLI
$ npx skills add edinetdb/dexter-jp --skill dcf-valuation -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install edinetdb/dexter-jp dcf-valuation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/edinetdb/dexter-jp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/skills/dcf .claude/skills/dcf-valuation && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
dcf-valuation
GitHub stars
311
Token cost
~1.1k tokens
SKILL.md length
503 words
Files
2
Skills in repo
2
Repo updated
First seen
Licence
MIT

At a glance

Performs discounted cash flow (DCF) valuation analysis to estimate intrinsic value per share for Japanese listed companies.

  • Works in 8 steps: Gather Financial Data → Calculate FCF Growth Rate → Estimate Discount Rate (WACC) → …
  • User asks for fair value
  • SKILL.md covers Workflow Checklist, Step 1: Gather Financial Data, Step 2: Calculate FCF Growth… and Step 3: Estimate Discount Rate…, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Dcf Valuation is an agent skill from edinetdb/dexter-jp. Performs discounted cash flow (DCF) valuation analysis to estimate intrinsic value per share for Japanese listed companies. Triggers when user asks for fair value, intrinsic value, DCF, valuation, "what is X worth", price target, undervalued/overvalued analysis, or wants to compare current price to fundamental value.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `sector-wacc.md`).

It sits in Business, Finance & HR, covering Financial modeling. It works with LangChain and TypeScript. The repository describes itself as: 日本株の自律型リサーチAIエージェント|AI agent for deep financial research on Japanese listed companies. Powered by EDINET DB + J-Quants. The licence is MIT.

When your agent uses it

  • User asks for fair value
  • Intrinsic value
  • What is X worth
  • Undervalued/overvalued analysis

Example prompts

  • “what is X worth”
  • “Use the dcf-valuation skill to perform discounted cash flow (DCF) valuation analysis to estimate intrinsic value per share for Japanese listed…”
  • “/dcf-valuation”

Workflow steps

8 steps, taken from the step headings in SKILL.md.

  1. Gather Financial Data
  2. Calculate FCF Growth Rate
  3. Estimate Discount Rate (WACC)
  4. Project Future Cash Flows
  5. Calculate Present Value
  6. Sensitivity Analysis
  7. Validate Results
  8. Output Format

What it can do on your machine

Read from SKILL.md and the folder at commit dfb0fd9. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Dcf Valuation loads about 1.1k tokens when it runs. Until then it costs about 83 tokens; SKILL.md has 503 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~83
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from edinetdb/dexter-jp at commit dfb0fd9, republished under its MIT licence (© edinetdb). 503 words, ~1,135 tokens.

Download SKILL.mdSave it as .claude/skills/dcf-valuation/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
dcf-valuation
description
Performs discounted cash flow (DCF) valuation analysis to estimate intrinsic value per share for Japanese listed companies. Triggers when user asks for fair value, intrinsic value, DCF, valuation, "what is X worth", price target, undervalued/overvalued analysis, or wants to compare current price to fundamental value.

DCF Valuation Skill (Japanese Market)

Workflow Checklist

Copy and track progress:

DCF Analysis Progress:
- [ ] Step 1: Gather financial data
- [ ] Step 2: Calculate FCF growth rate
- [ ] Step 3: Estimate discount rate (WACC)
- [ ] Step 4: Project future cash flows (Years 1-5 + Terminal)
- [ ] Step 5: Calculate present value and fair value per share
- [ ] Step 6: Run sensitivity analysis
- [ ] Step 7: Validate results
- [ ] Step 8: Present results with caveats

Step 1: Gather Financial Data

Call the get_financials tool with these queries:

1.1 Cash Flow History

Query: "[TICKER] annual financial statements for the last 5 years"

Extract: cfOperating (operating cash flow), cfInvesting, capex, calculate FCF = cfOperating - capex (absolute value)

1.2 Financial Metrics / Key Ratios

Query: "[TICKER] key ratios and financial metrics"

Extract: ROIC, financialLeverage, deRatio, operatingMargin, netMargin, dividendYield

1.3 Balance Sheet

Query: "[TICKER] latest financial statements"

Extract: totalAssets, netAssets, interestBearingDebt (or calculate from shortTermLoans + longTermLoans + bondsPayable), cash, sharesIssued

1.4 Company Info

Query: "[TICKER] company info"

Extract: industry, accountingStandard, healthScore, PER, BPS, EPS

1.5 Current Price

EDINET DB does not provide stock price data. Use the latest PER × EPS as a price estimate, or note that the user should provide the current stock price for accurate analysis.

Step 2: Calculate FCF Growth Rate

Calculate 3-5 year FCF CAGR from cash flow history.

Cross-validate with: revenue growth trend, EPS growth, operating income growth

Growth rate selection:

  • Stable FCF history → Use CAGR with 10-20% haircut
  • Volatile FCF → Weight recent trends more heavily
  • Cap at 15% (sustained higher growth is rare)

Step 3: Estimate Discount Rate (WACC)

Default assumptions for Japanese market:

  • Risk-free rate: 1.0-1.5% (JGB 10-year yield)
  • Equity risk premium: 5-7%
  • Cost of debt: 1-3% pre-tax (Japan's low interest rate environment)
  • Tax rate: ~30% (effective corporate tax)

Calculate WACC using deRatio for capital structure weights.

Typical WACC ranges for Japanese companies:

  • Large-cap blue chips: 5-7%
  • Mid-cap growth: 7-9%
  • Small-cap / high-risk: 9-12%

Reasonableness check: WACC should be below ROIC for value-creating companies.

Step 4: Project Future Cash Flows

Years 1-5: Apply growth rate with 5% annual decay (multiply growth rate by 0.95, 0.90, 0.85, 0.80 for years 2-5).

Terminal value: Use Gordon Growth Model with 1.0-1.5% terminal growth (Japan's lower nominal GDP growth).

Show full SKILL.md (203 more words)Show less

Step 5: Calculate Present Value

Discount all FCFs → sum for Enterprise Value → subtract Net Debt → divide by sharesIssued for fair value per share.

Note: All amounts are in millions of JPY unless stated otherwise. Fair value per share will be in JPY.

Step 6: Sensitivity Analysis

Create 3×3 matrix: WACC (base ±1%) vs terminal growth (0.5%, 1.0%, 1.5%).

Step 7: Validate Results

Before presenting, verify these sanity checks:

  1. PER cross-check: Implied PER (fair value / EPS) should be reasonable for the industry

    • Japanese market average: ~15x. Growth: 20-30x. Value: 8-12x.
  2. PBR cross-check: Fair value / BPS should be reasonable

    • TSE has been pushing companies to achieve PBR > 1.0x
  3. Terminal value ratio: Terminal value should be 50-80% of total EV for mature companies

If validation fails, reconsider assumptions before presenting results.

Step 8: Output Format

Present a structured summary including:

  1. Valuation Summary: Current price (if known) vs. fair value, upside/downside percentage
  2. Key Inputs Table: All assumptions with their sources
  3. Projected FCF Table: 5-year projections with present values (in millions of JPY)
  4. Sensitivity Matrix: 3×3 grid varying WACC (±1%) and terminal growth (0.5%, 1.0%, 1.5%)
  5. Caveats: Standard DCF limitations plus Japan-specific considerations (yen currency risk, governance reform impact, cross-shareholding)

© edinetdb, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in src/skills/dcf of edinetdb/dexter-jp.

  • SKILL.md
  • sector-wacc.md

Open the folder on GitHubat commit dfb0fd9

Compare with similar skills

Dcf Valuation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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SkillStarsUsed inTokensAuto-checkLicenceRepo updated
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Equity ResearchrollingSirius/equity-research-skill453—~1.5kAutomated safety check: PassMIT
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Okx Cex Marketdex-original/okx-agent-trade-kit1101 repos~2.7kAutomated safety check: PassMIT

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Questions about Dcf Valuation

What does Dcf Valuation do?

Performs discounted cash flow (DCF) valuation analysis to estimate intrinsic value per share for Japanese listed companies. Dcf Valuation is an agent skill from edinetdb/dexter-jp. Performs discounted cash flow (DCF) valuation analysis to estimate intrinsic value per share for Japanese listed companies.

When should I use Dcf Valuation?

Dcf Valuation fits situations like: user asks for fair value; intrinsic value; what is X worth; undervalued/overvalued analysis.

How do I install Dcf Valuation in Claude Code?

Run `npx skills add edinetdb/dexter-jp --skill dcf-valuation -a claude-code`. Or copy the skill folder (src/skills/dcf in edinetdb/dexter-jp) into .claude/skills/dcf-valuation in your project. Claude Code loads it when a task matches its description.

How do I install Dcf Valuation in Codex?

Run `npx skills add edinetdb/dexter-jp --skill dcf-valuation -a codex`. Or copy the skill folder (src/skills/dcf in edinetdb/dexter-jp) into .agents/skills/dcf-valuation in your project. Codex loads it when a task matches its description.

Can I use Dcf Valuation in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add edinetdb/dexter-jp --skill dcf-valuation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dcf-valuation, .gemini/skills/dcf-valuation, .github/skills/dcf-valuation and .opencode/skills/dcf-valuation in your project.

What does Dcf Valuation need to run?

SKILL.md names no scripts, command-line tools or credentials: Dcf Valuation is instructions for the agent only.

Does Dcf Valuation access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Dcf Valuation safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Dcf Valuation use?

Dcf Valuation is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Dcf Valuation use?

About 1.1k tokens (SKILL.md is roughly 4.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Dcf Valuation?

Skills that share tags, products or a category with Dcf Valuation: Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars), Swapper Deposit (swapperfinance/swapper-toolkit, 852 stars), Equity Research (rollingSirius/equity-research-skill, 453 stars) and SaaS Metrics Coach (rongxinzy/RongxinAI, 154 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dcf Valuation?

edinetdb (a GitHub user) maintains it in edinetdb/dexter-jp, which has 311 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 8, 2026.

Source: edinetdb/dexter-jp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.