Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add edinetdb/dexter-jp --skill dcfgit clone --depth 1 https://github.com/edinetdb/dexter-jpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/edinetdb/dexter-jp/dcf)<a href="https://agentmods.dev/skills/edinetdb/dexter-jp/dcf"><img src="https://agentmods.dev/badge/skills/edinetdb/dexter-jp/dcf.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00071 | $0.01221 |
| Opus 5 | $0.00036 | $0.00611 |
| Sonnet 5 | $0.00014 | $0.00244 |
| Haiku 4.5 | $0.00007 | $0.00122 |
Grade A, and why
dcf-valuation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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)
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 116 lines · 71 tokens per session scan A d95585e5e19e
dcf-valuation is a skill published in the GitHub repository edinetdb/dexter-jp (304 stars, last pushed 2d ago), licensed MIT. It adds 71 tokens to every session and 1,221 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
onboarding
First-time user onboarding to set up investment profile, watchlists, portfolio, and preferences.
chart-annotation
Draw price lines, trendlines, zones, and event markers directly on a stock's price chart — reach for it whenever you'd otherwise describe a level, pattern, or event in prose. Renders live on MarketView and as a clickable preview card in any other chat.
check-deck
Investment deck QC: number consistency, data-narrative alignment, IB language, formatting audit.
check-model
Financial model audit: structural checks, formula validation, integrity testing.
idea-generation
Stock screening and idea generation: quantitative screens, thematic analysis, shortlist.
thesis-tracker
Investment thesis scorecard: track pillars, risks, catalysts, and conviction over time.