Creating Financial Models
Chen-zexi/open-ptc-agent
This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions
Performs discounted cash flow (DCF) valuation analysis to estimate intrinsic value per share for Japanese listed companies.
$ npx skills add edinetdb/dexter-jp --skill dcf-valuation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install edinetdb/dexter-jp dcf-valuation --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "dcf-valuation" agent skill from https://github.com/edinetdb/dexter-jp/tree/main/src/skills/dcf into .claude/skills/dcf-valuation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dcf-valuation", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/edinetdb/dexter-jp/tree/main/src/skills/dcfType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add edinetdb/dexter-jp --skill dcf-valuation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install edinetdb/dexter-jp dcf-valuation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/edinetdb/dexter-jp.git skills-src && mkdir -p .agents/skills && cp -r skills-src/src/skills/dcf .agents/skills/dcf-valuation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dcf-valuation" agent skill from https://github.com/edinetdb/dexter-jp/tree/main/src/skills/dcf into .agents/skills/dcf-valuation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dcf-valuation", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add edinetdb/dexter-jp --skill dcf-valuation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install edinetdb/dexter-jp dcf-valuation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/edinetdb/dexter-jp.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/src/skills/dcf .cursor/skills/dcf-valuation && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "dcf-valuation" agent skill from https://github.com/edinetdb/dexter-jp/tree/main/src/skills/dcf into .cursor/skills/dcf-valuation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dcf-valuation", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/edinetdb/dexter-jp.git --path src/skills/dcf--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add edinetdb/dexter-jp --skill dcf-valuation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install edinetdb/dexter-jp dcf-valuation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/edinetdb/dexter-jp.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/src/skills/dcf .gemini/skills/dcf-valuation && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "dcf-valuation" agent skill from https://github.com/edinetdb/dexter-jp/tree/main/src/skills/dcf into .gemini/skills/dcf-valuation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dcf-valuation", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install edinetdb/dexter-jp dcf-valuationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add edinetdb/dexter-jp --skill dcf-valuation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/edinetdb/dexter-jp.git skills-src && mkdir -p .github/skills && cp -r skills-src/src/skills/dcf .github/skills/dcf-valuation && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "dcf-valuation" agent skill from https://github.com/edinetdb/dexter-jp/tree/main/src/skills/dcf into .github/skills/dcf-valuation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dcf-valuation", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add edinetdb/dexter-jp --skill dcf-valuation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install edinetdb/dexter-jp dcf-valuation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/edinetdb/dexter-jp.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/src/skills/dcf .opencode/skills/dcf-valuation && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "dcf-valuation" agent skill from https://github.com/edinetdb/dexter-jp/tree/main/src/skills/dcf into .opencode/skills/dcf-valuation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dcf-valuation", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
dcf-valuationPerforms 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. 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.
8 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit dfb0fd9. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from edinetdb/dexter-jp at commit dfb0fd9, republished under its MIT licence (© edinetdb). 503 words, ~1,135 tokens.
.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.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 caveatsCall the get_financials tool with these queries:
Query: "[TICKER] annual financial statements for the last 5 years"
Extract: cfOperating (operating cash flow), cfInvesting, capex, calculate FCF = cfOperating - capex (absolute value)
Query: "[TICKER] key ratios and financial metrics"
Extract: ROIC, financialLeverage, deRatio, operatingMargin, netMargin, dividendYield
Query: "[TICKER] latest financial statements"
Extract: totalAssets, netAssets, interestBearingDebt (or calculate from shortTermLoans + longTermLoans + bondsPayable), cash, sharesIssued
Query: "[TICKER] company info"
Extract: industry, accountingStandard, healthScore, PER, BPS, EPS
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.
Calculate 3-5 year FCF CAGR from cash flow history.
Cross-validate with: revenue growth trend, EPS growth, operating income growth
Growth rate selection:
Default assumptions for Japanese market:
Calculate WACC using deRatio for capital structure weights.
Typical WACC ranges for Japanese companies:
Reasonableness check: WACC should be below ROIC for value-creating companies.
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).
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.
Create 3×3 matrix: WACC (base ±1%) vs terminal growth (0.5%, 1.0%, 1.5%).
Before presenting, verify these sanity checks:
PER cross-check: Implied PER (fair value / EPS) should be reasonable for the industry
PBR cross-check: Fair value / BPS should be reasonable
Terminal value ratio: Terminal value should be 50-80% of total EV for mature companies
If validation fails, reconsider assumptions before presenting results.
Present a structured summary including:
© edinetdb, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in src/skills/dcf of edinetdb/dexter-jp.
Open the folder on GitHubat commit dfb0fd9
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Dcf Valuation this skilledinetdb/dexter-jp | 311 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Creating Financial ModelsChen-zexi/open-ptc-agent | 729 | 3 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Swapper Depositswapperfinance/swapper-toolkit | 852 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Equity ResearchrollingSirius/equity-research-skill | 453 | — | ~1.5k | Automated safety check: Pass | MIT | |
| SaaS Metrics Coachrongxinzy/RongxinAI | 154 | 2 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Okx Cex Marketdex-original/okx-agent-trade-kit | 110 | 1 repos | ~2.7k | Automated safety check: Pass | MIT |
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Works with
Categories
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.
Dcf Valuation fits situations like: user asks for fair value; intrinsic value; what is X worth; undervalued/overvalued analysis.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Dcf Valuation is instructions for the agent only.
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.
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.
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.
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.
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.
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.