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 cashflow-valuationgit 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/cashflow-valuation)<a href="https://agentmods.dev/skills/serejaris/kimi-skills/cashflow-valuation"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/cashflow-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/serejaris/kimi-skills/cashflow-valuation"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/cashflow-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 | $0.00132 | $0.01238 |
| Opus 5 | $0.00066 | $0.00619 |
| Sonnet 5 | $0.00026 | $0.00248 |
| Haiku 4.5 | $0.00013 | $0.00124 |
Grade A, and why
cashflow-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.
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.
DCF Valuation / 现金流折现估值模型
基于 DCF（Discounted Cash Flow）方法的企业估值工具，支持完整的自由现金流预测、终值计算、企业价值推导，并自动生成 增长率 × 折现率 的敏感性分析矩阵。
Quick Start
基础 DCF 估值
python scripts/dcf_model.py --fcf 1000 --growth 0.15 --discount 0.10
带敏感性分析矩阵
python scripts/dcf_model.py --fcf 1000 --growth 0.15 --discount 0.10 --sensitivity
完整股权估值 + CSV 导出
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 "万元" \
--sensitivity \
--growth-range 0.05,0.25,0.05 \
--discount-range 0.06,0.14,0.02 \
--output valuation.csv
详细用法
核心估值流程
- 预测期自由现金流：基于基准 FCF 和增长率，逐年预测未来 N 年的 FCF
- 终值计算：使用 Gordon Growth Model（永续增长模型），
TV = FCF_n × (1+g) / (r-g) - 折现求和：将预测期 FCF 和终值折现到当前，得到企业价值（Enterprise Value）
- 股权价值：
Equity Value = EV - Net Debt + Cash - 每股价值：
Per Share = Equity Value / Shares Outstanding
敏感性分析矩阵
通过 --sensitivity 参数自动生成二维矩阵，展示不同增长率和折现率组合下的企业价值，帮助理解关键假设变化对估值的影响。
矩阵中用 [方括号] 标记基准情景（base case）。
JSON 输出模式
添加 --json 参数可将完整结果以 JSON 格式输出到 stdout，便于程序化处理：
python scripts/dcf_model.py --fcf 1000 --growth 0.15 --discount 0.10 --json
参数说明
| 参数 | 必填 | 默认值 | 说明 |
|---|---|---|---|
--fcf |
是 | - | 基准年自由现金流（正数） |
--growth |
是 | - | 年增长率，如 0.15 表示 15% |
--discount |
是 | - | 折现率 / WACC，如 0.10 表示 10% |
--terminal-growth |
否 | 0.03 | 永续增长率（必须 < 折现率） |
--years |
否 | 5 | 预测年数（1-30） |
--debt |
否 | 0 | 净负债（用于计算股权价值） |
--cash |
否 | 0 | 现金及等价物 |
--shares |
否 | 0 | 总股本（用于计算每股价值） |
--sensitivity |
否 | false | 生成敏感性分析矩阵 |
--growth-range |
否 | 自动 | 增长率范围 min,max,step，如 0.05,0.25,0.05 |
--discount-range |
否 | 自动 | 折现率范围 min,max,step，如 0.06,0.14,0.02 |
--output |
否 | - | 输出文件路径（.csv 或 .json） |
--currency |
否 | "" | 金额单位标签，如 万元、M USD |
--json |
否 | false | 以 JSON 格式输出到 stdout |
使用场景
- 对目标公司进行 DCF 估值，评估其合理价格区间
- 投资决策前的估值敏感性检验（关键假设变化多大会改变结论）
- 财务建模时快速生成估值矩阵表格
- 输出 CSV/JSON 结果，嵌入更大的分析流程或报告中
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.
- 12d ago First seen · 94 lines · 132 tokens per session scan A a369f761de8b
cashflow-valuation is a skill published in the GitHub repository serejaris/kimi-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 132 tokens to every session and 1,238 once invoked, about $0.0007 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 2026-08-31.
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