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 XyrusCode/ai-sync --skill dcfgit clone --depth 1 https://github.com/XyrusCode/ai-syncWrote 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/xyruscode/ai-sync/dcf)<a href="https://agentmods.dev/skills/xyruscode/ai-sync/dcf"><img src="https://agentmods.dev/badge/skills/xyruscode/ai-sync/dcf/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/xyruscode/ai-sync/dcf"><img src="https://agentmods.dev/badge/skills/xyruscode/ai-sync/dcf.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 | $0.00094 | $0.04274 |
| Opus 5.5 | $0.00038 | $0.01710 |
| Sonnet 5.5 | $0.00019 | $0.00855 |
| Haiku 4.5 | $0.00009 | $0.00427 |
Grade A, and why
dcf-analysis 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 1mo 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 — 457 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DCF Analysis
Overview
Build a DCF as a clean extension of an existing forecast model, not as a disconnected valuation page. The model should start from forecast operating data, calculate NOPAT, derive Unlevered Free Cash Flow, build a transparent WACC, calculate Terminal Value, discount to Enterprise Value, bridge to Equity Value, and end with Implied Share Price plus sensitivity tables.
The output should be compact, auditable, and presentation-ready. Default to a banker-style Excel layout with disciplined color usage, explicit hardcode vs. formula distinction, minimal borders, and clearly labeled sections.
The DCF must also show real market judgment and business sense. The forecast linkage, WACC, terminal assumptions, valuation bridge, and sensitivities should reflect a defendable understanding of the market, the company, the business model, and how investors would underwrite the valuation. Do not choose assumptions mechanically; show business understanding through the numbers.
If the user does not provide a fixed layout requirement and does not upload a template workbook to mimic, default to the embedded # DCF Format Reference section in this file.
Workflow
-
Define the valuation frame. Confirm
valuation date,currency,units, forecast horizon, tax convention, discounting convention, terminal value method, diluted share-count convention, and bridge-year balance sheet date. If the user does not specify, default to5-year explicit forecast,mid-year convention,perpetuity growthas the primary terminal method, andexit multipleas a cross-check. -
Link forecast data from the operating model. Pull forecast lines directly from the existing model rather than retyping values. At minimum, link
Revenue,EBIT,Depreciation,Amortization,Capex,Operating Working Capitalor its components, tax rate, cash, debt, lease liabilities when relevant, and diluted shares. -
Build the
NOPAT -> UFCFschedule. Use operating income as the starting point. The default structure is:EBITLess: Taxes on EBITNOPAT+ D&A- Capex- Increase in Operating Working Capital+/- Other recurring operating adjustmentsonly when clearly justified= Unlevered Free Cash Flow
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.
- 1mo ago First seen · 457 lines · 94 tokens per session scan A 19050167be79
dcf-analysis is a skill published in the GitHub repository XyrusCode/ai-sync (2 stars, last pushed 18d ago), licensed MIT. It adds 94 tokens to every session and 4,274 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-09-04.
Other skills, from other repositories
dcf-model
Build discounted cash flow valuation workbooks in Excel.
comps-analysis
Build comparable-company valuation workbooks in Excel.
lbo-model
Build leveraged buyout workbooks with IRR/MOIC in Excel.
excel-author
Build auditable financial workbooks headless via openpyxl.
3-statement-model
Build integrated IS/BS/CF financial workbooks in Excel.
lbo-model
This skill should be used when completing LBO (Leveraged Buyout) model templates in Excel for private equity transactions, deal materials, or investment committee presentations. The skill fills in formulas, validates calculations, and ensures professional formatting standards that adapt to any template structure.