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 serejaris/kimi-skills --skill discounted-cashflow-modelgit clone --depth 1 https://github.com/serejaris/kimi-skillsWrote 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/serejaris/kimi-skills/discounted-cashflow-model)<a href="https://agentmods.dev/skills/serejaris/kimi-skills/discounted-cashflow-model"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/discounted-cashflow-model/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/serejaris/kimi-skills/discounted-cashflow-model"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/discounted-cashflow-model.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 | $0.00082 | $0.01094 |
| Opus 5 | $0.00041 | $0.00547 |
| Sonnet 5 | $0.00016 | $0.00219 |
| Haiku 4.5 | $0.00008 | $0.00109 |
Grade A, and why
discounted-cashflow-model 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 9d 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 — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Discounted Cash Flow Valuation Model
A DCF (Discounted Cash Flow) valuation tool that supports full free cash flow projections, terminal value calculation, enterprise value derivation, and automatic generation of a growth rate × discount rate sensitivity analysis matrix.
Quick Start
Basic DCF Valuation
python scripts/dcf_model.py --fcf 1000 --growth 0.15 --discount 0.10
With Sensitivity Analysis Matrix
python scripts/dcf_model.py --fcf 1000 --growth 0.15 --discount 0.10 --sensitivity
Full Equity Valuation + CSV Export
python scripts/dcf_model.py \
--fcf 5000 --growth 0.12 --discount 0.09 \
--terminal-growth 0.03 --years 5 \
--debt 8000 --cash 3000 --shares 10000000 \
--currency "M USD" \
--sensitivity \
--growth-range 0.05,0.25,0.05 \
--discount-range 0.06,0.14,0.02 \
--output valuation.csv
Detailed Usage
Core Valuation Workflow
- Projected Free Cash Flows: Project FCF for each year based on a base FCF and growth rate
- Terminal Value: Calculated using the Gordon Growth Model (perpetuity growth model):
TV = FCF_n × (1+g) / (r-g) - Discounting: Discount projected FCFs and terminal value to present value, yielding Enterprise Value
- Equity Value:
Equity Value = EV - Net Debt + Cash - Per-Share Value:
Per Share = Equity Value / Shares Outstanding
Sensitivity Analysis Matrix
Use the --sensitivity flag to automatically generate a two-dimensional matrix showing enterprise value under different combinations of growth rates and discount rates. This helps visualize how changes in key assumptions affect the valuation.
The base case scenario is marked with [brackets] in the matrix.
JSON Output Mode
Add the --json flag to output the full results in JSON format to stdout, useful for programmatic processing:
python scripts/dcf_model.py --fcf 1000 --growth 0.15 --discount 0.10 --json
Parameters
| Parameter | Required | Default | Description |
|---|---|---|---|
--fcf |
Yes | - | Base year free cash flow (positive number) |
--growth |
Yes | - | Annual growth rate, e.g. 0.15 for 15% |
--discount |
Yes | - | Discount rate / WACC, e.g. 0.10 for 10% |
--terminal-growth |
No | 0.03 | Perpetuity growth rate (must be < discount rate) |
--years |
No | 5 | Number of projection years (1–30) |
--debt |
No | 0 | Net debt (used for equity value calculation) |
--cash |
No | 0 | Cash and equivalents |
--shares |
No | 0 | Total shares outstanding (used for per-share value) |
--sensitivity |
No | false | Generate sensitivity analysis matrix |
--growth-range |
No | auto | Growth rate range as min,max,step, e.g. 0.05,0.25,0.05 |
--discount-range |
No | auto | Discount rate range as min,max,step, e.g. 0.06,0.14,0.02 |
--output |
No | - | Output file path (.csv or .json) |
--currency |
No | "" | Currency unit label, e.g. M USD, €K |
--json |
No | false | Output results as JSON to stdout |
What ships with it
2 files 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.
- 9d ago First seen · 94 lines · 82 tokens per session scan A 30a10d5282a7
discounted-cashflow-model is a skill published in the GitHub repository serejaris/kimi-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 82 tokens to every session and 1,094 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 2026-09-03.
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