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 Yijia-Xiao/FinanceHarness --skill dcf-valuationgit clone --depth 1 https://github.com/Yijia-Xiao/FinanceHarnessWrote 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/yijia-xiao/financeharness/dcf-valuation)<a href="https://agentmods.dev/skills/yijia-xiao/financeharness/dcf-valuation"><img src="https://agentmods.dev/badge/skills/yijia-xiao/financeharness/dcf-valuation/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/yijia-xiao/financeharness/dcf-valuation"><img src="https://agentmods.dev/badge/skills/yijia-xiao/financeharness/dcf-valuation.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00042 | $0.00503 |
| Opus 5 | $0.00021 | $0.00251 |
| Sonnet 5 | $0.00008 | $0.00101 |
| Haiku 4.5 | $0.00004 | $0.00050 |
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 12d 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.
This is a copy
100% identical to dcf-valuation — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
DCF valuation
Estimate intrinsic value per share with a transparent, grounded DCF.
Workflow
- Anchor the company.
data_equity_referencefor shares outstanding, beta, and current price;data_equity_fundamentalsfor revenue, free cash flow, margins, growth, and total cash/debt. - Discount rate.
compute_valuation_wacc— CAPM cost of equity from a risk-free rate, an equity risk premium, and the beta you pulled; add the debt trio for a WACC blend when leverage is material. Use the resulting rate. - Project FCF. Build a short explicit free-cash-flow schedule (typically 3–5 years) from the latest FCF and a growth path grounded in the fundamentals and trend. State the assumptions you used.
- Value it.
compute_valuation_dcfwith the FCF schedule, the discount rate, a terminal method (Gordon growth or exit multiple), net debt (debt − cash), and shares outstanding. Chain bulk inputs withprev:references where a prior tool already produced the series. - Report. Intrinsic value per share vs. the current price, the discount rate and key assumptions, and how much of the value rests on the terminal value.
Principles
- Make every assumption explicit (growth, discount rate, terminal method) — a DCF is only as credible as its inputs, and the reader needs to see them.
- Prefer chaining real figures (fundamentals → FCF → DCF) over restating numbers by hand; let the tools carry the arithmetic.
- A high terminal-value share of enterprise value is worth flagging, not hiding — report the number and let the reader weigh it.
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.
- 12d ago First seen · 44 lines · 42 tokens per session scan A 1c1540ef4c72
dcf-valuation is a skill published in the GitHub repository Yijia-Xiao/FinanceHarness (130 stars, last pushed 20d ago), licensed Apache-2.0. It adds 42 tokens to every session and 503 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to dcf-valuation, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
dcf-valuation
Estimate a public equity's intrinsic value with a discounted-cash-flow model — pull fundamentals, set a discount rate via CAPM/WACC, project free cash flow, and discount it.
equity-deep-dive
A thorough single-equity deep dive — read the recent qualitative picture from the web, then ground it in fundamentals and health ratios, an intrinsic DCF with a sensitivity range, a comparable-company cross-check, and the analyst-consensus view.
dcf-valuation
Build Discounted Cash Flow (DCF) valuation models. Calculate intrinsic value with customizable assumptions. Generate professional valuation reports.
equity-valuation
A framework for creating a stock valuation workbook in Excel, the spreadsheet program used for financial models. It combines data checks, several valuation methods, company-quality scoring, risk analysis, and an investment conclusion.
relative-valuation
Value an equity against its peers — peer-median trading multiples applied to the company's metrics for an implied range, cross-read against its own valuation ratios.
dcf-valuation
An investing method for estimating whether a company's share price is cheap by thinking about its future cash earnings. DCF means discounted cash flow, a way to value future money in today's terms.