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 vivy-yi/finance-skills --skill npv-irr-calculationgit clone --depth 1 https://github.com/vivy-yi/finance-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/vivy-yi/finance-skills/npv-irr-calculation)<a href="https://agentmods.dev/skills/vivy-yi/finance-skills/npv-irr-calculation"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/npv-irr-calculation/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/vivy-yi/finance-skills/npv-irr-calculation"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/npv-irr-calculation.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 | $0.00097 | $0.01601 |
| Opus 5 | $0.00048 | $0.00800 |
| Sonnet 5 | $0.00019 | $0.00320 |
| Haiku 4.5 | $0.00010 | $0.00160 |
Grade A, and why
npv-irr-calculation 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.
What it actually says
加载上下文
首次使用时: 读取 ../../CLAUDE.md 获取折现率配置和敏感性分析变量设置。
/npv-irr-calculation — NPV / IRR 计算与敏感性分析
第一步:确认财务假设
□ 项目参数:
□ 初始投资:[X] 万元(Year 0)
□ 运营期:[X] 年
□ 折现率(WACC):[X]% (或使用 CLAUDE.md 中配置的调整后折现率)
□ 收入假设:
□ 基准年销量:[X] 单位
□ 预计增长率:[X]%/年
□ 产品单价:[X] 元/单位
□ 成本假设:
□ 单位可变成本:[X] 元/单位
□ 年固定成本(不含折旧):[X] 万元
□ 折旧(年):[X] 万元
□ 所得税率:[X]%
□ 期末残值:[X] 万元(如有)
第二步:构建 DCF 模型
□ 自由现金流(FCF)计算:
□ EBITDA = 收入 - 可变成本 - 固定成本
□ EBIT = EBITDA - 折旧
□ 所得税 = EBIT × 所得税率
□ NOPAT = EBIT - 所得税
□ FCF = NOPAT + 折旧 - 资本支出 - 营运资本变动(若有)
□ 最终年 FCF 包含期末残值和营运资本回收
□ 折现计算:
□ NPV = -初始投资 + Σ FCFt / (1+WACC)^t
□ IRR = 使 NPV = 0 的折现率(Excel IRR 函数)
□ 简单回收期:
□ 累计现金流转正年份:[X] 年 [X] 个月
第三步:DCF 结果
□ NPV:[X] 万元
→ ✅ NPV > 0:项目创造价值
→ ⚠️ NPV ≈ 0(±[X] 万元):边际项目,结合 IRR 判断
→ ❌ NPV < 0:项目摧毁价值
□ IRR:[X]%
→ vs 门槛(来自 CLAUDE.md):[X]%
→ ✅ IRR > 门槛 + [X]%:明确可行
→ ⚠️ IRR 在门槛±[X]% 内:临界,需其他指标支持
→ ❌ IRR < 门槛:明确不可行
□ 简单回收期:[X] 年 [X] 个月
→ vs 运营期 [X] 年:[✅ 回收期 < 运营期 / ❌ 回收期 > 运营期]
□ 综合判断:[✅ 可行 / ⚠️ 边际可行 / ❌ 不可行]
第四步:单变量敏感性分析
□ 分析变量(从 CLAUDE.md 读取须分析的变量):
□ 销量变动 ±10%:NPV [X] 万 / [X] 万
□ 价格变动 ±10%:NPV [X] 万 / [X] 万
□ 成本变动 ±10%:NPV [X] 万 / [X] 万
□ 折现率 ±1%:NPV [X] 万 / [X] 万
□ 最敏感变量:[变量名] — 销量/价格/成本/折现率
□ NPV 对该变量敏感性:[高/中/低]
□ NPV 转负临界点:
□ 销量下降超过 [X]% 时 NPV < 0
□ 价格下降超过 [X]% 时 NPV < 0
□ 成本上升超过 [X]% 时 NPV < 0
□ 折现率上升超过 [X]% 时 NPV < 0
第五步:多情景分析
□ 基准情景:
□ NPV = [X] 万元
□ IRR = [X]%
□ 乐观情景(销量 +[X]%,价格 +[X]%,成本 -[X]%):
□ NPV = [X] 万元 — [✅ >0 / ❌ <0]
□ IRR = [X]%
□ 悲观情景(销量 -[X]%,价格 -[X]%,成本 +[X]%):
□ NPV = [X] 万元 — [✅ >0 / ❌ <0]
□ IRR = [X]%
□ 综合结论:
□ ✅ 稳健项目:所有情景 NPV > 0
□ ⚠️ 边际项目:基准 > 0,悲观 < 0
□ ❌ 高风险项目:悲观 < 0 且差距大
输出格式
═══════════════════════════════════════
DCF 估值报告
项目:[项目名称]
投资金额:[X] 万元
折现率:[X]%
═══════════════════════════════════════
【DCF 核心结果】
□ NPV:[X] 万元 — [✅ 创造价值 / ❌ 摧毁价值]
□ IRR:[X]% — vs 门槛 [X]% — [✅ 达标 / ❌ 未达标]
□ 回收期:[X] 年 [X] 个月
【情景分析】
| 情景 | 销量变化 | 价格变化 | 成本变化 | NPV(万)| IRR |
|--------|----------|----------|----------|----------|-------|
| 乐观 | +[X]% | +[X]% | -[X]% | [X] | [X]% |
| 基准 | 0 | 0 | 0 | [X] | [X]% |
| 悲观 | -[X]% | -[X]% | +[X]% | [X] | [X]% |
【单变量敏感性】
□ 最敏感变量:[变量名]
□ 临界值:[变量] 变动超过 [±X]% 时 NPV < 0
【结论】
□ 综合判断:[✅ 推荐 / ⚠️ 慎重 / ❌ 不建议]
□ 主要风险:[描述]
□ 建议:[描述]
═══════════════════════════════════════
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 · 166 lines · 97 tokens per session scan A fc2d857a94b0
npv-irr-calculation is a skill published in the GitHub repository vivy-yi/finance-skills (29 stars, last pushed 3mo ago), licensed MIT. It adds 97 tokens to every session and 1,601 once invoked, about $0.0005 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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