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 financing-cost-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/financing-cost-calculation)<a href="https://agentmods.dev/skills/vivy-yi/finance-skills/financing-cost-calculation"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/financing-cost-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/financing-cost-calculation"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/financing-cost-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 | $0.00092 | $0.01878 |
| Opus 5 | $0.00046 | $0.00939 |
| Sonnet 5 | $0.00018 | $0.00376 |
| Haiku 4.5 | $0.00009 | $0.00188 |
Grade A, and why
financing-cost-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.
How it starts
The opening of the file, as written. The whole thing — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
加载上下文
首次使用时: 读取 ../../CLAUDE.md 获取场景级配置(WACC 模型/融资渠道/利率假设)。
/financing-cost-calculation — 融资成本计算
Examples
→ 示例:用户说"帮我算一下我们目前加权平均的融资成本,和行业比是高还是低",系统应调用本技能,执行 WACC 计算和行业对标。
→ 示例:用户说"新的银行贷款审批下来了,帮我评估这笔钱的实际成本",系统应调用本技能,计算新融资工具的实际成本。
→ 示例:用户说"发行美元债的融资成本要怎么算,需要考虑哪些因素",系统应调用本技能,执行外币融资成本全成本测算。
第一步:融资结构拆解
融资结构输入:
□ 目标融资规模:[X] 万
□ 融资结构(各方式占比):
| 融资方式 | 占比 | 金额 | 备注 |
|---------|------|------|------|
| 银行贷款 | [X]% | [X]万 | [类型] |
| 债券 | [X]% | [X]万 | [期限/利率类型] |
| 股权融资 | [X]% | [X]万 | [增发/引入战投] |
| 混合工具 | [X]% | [X]万 | [可转债/永续债] |
第二步:债务成本计算
银行贷款成本:
□ 贷款条件:
→ 贷款金额:[X] 万
→ 贷款期限:[X] 年
→ 利率类型:[固定/浮动]
→ 基准利率:[X]%
→ 利差:[X] bps([X]%)
→ 实际利率:[X]%(基准 + 利差)
□ 浮动利率调整假设(如适用):
→ 利率重设周期:[每年/每半年]
→ 预期利率变动:[+/-X] bps/年
□ 税前债务成本:[X]%
□ 税率:[X]%
□ 税后债务成本:[X]%(税前 × (1 - 税率))
债券融资成本:
□ 债券条件:
→ 金额:[X] 万
→ 期限:[X] 年
→ 票面利率:[X]%
→ 发行价格:[X](折价/平价/溢价)
→ 到期收益率(YTM):[X]%
→ 信用评级:[AAA/AA/A/BBB]
→ 担保/信用支持:[有担保/无担保]
□ 税后债券成本:[X]%(YTM × (1 - 税率))
第三步:股权成本计算
CAPM 模型计算股权成本:
□ 无风险利率(Rf):[X]%(10 年期国债收益率)
□ 市场风险溢价(ERP):[X]%(历史/前瞻)
□ Beta(β):[X](可比公司均值/调整后)
□ 特定风险溢价:[X]%(如适用)
□ 股权成本(CAPM):
= Rf + β × ERP + 特定风险
= [X]% + [X] × [X]% + [X]%
= [X]%
□ DCF 隐含股权成本(交叉验证):
→ 当前股价:[X]
→ 预期 DPS:[X]
→ 永续增长率:[X]%
→ 隐含成本:[X]%
第四步:WACC 组装
WACC 计算:
□ 权重计算:
→ 债务市值(D):[X] 万
→ 股权市值(E):[X] 万
→ 总市值(V = D + E):[X] 万
→ D/V:[X]% | E/V:[X]%
□ WACC 组装:
WACC = (D/V) × Kd × (1-t) + (E/V) × Ke
= [X]% × [X]% × [1-X]% + [X]% × [X]%
= [X]%
□ WACC 敏感性:
→ 股权成本 +/- 100bps → WACC +/- [X] bps
→ 债务成本 +/- 100bps → WACC +/- [X] bps
→ D/V 比例 +/- 10% → WACC +/- [X] bps
第五步:边际融资成本
边际融资成本分析:
□ 新增债务边际成本:
→ 金额:[X] 万
→ 预计利率:[X]%
→ 税后边际成本:[X]%
□ 新增股权边际成本:
→ 金额:[X] 万
→ 预计发行折价:[X]%
→ 边际股权成本:[X]%
□ 边际 WACC:
→ 新增融资边际 WACC:[X]%
→ vs 当前 WACC:[+/-X] bps
第六步:生成融资成本报告
═══════════════════════════════════════
融资成本计算报告
场景:[新融资/再融资/WACC更新]
计算日期:[YYYY-MM-DD]
═══════════════════════════════════════
【融资结构】
□ 总规模:[X] 万
□ 债务占比:[X]% | 股权占比:[X]%
【债务成本】
□ 银行贷款:税后 [X]%([利率类型])
□ 债券:YTM [X]%,税后 [X]%
□ 综合债务成本(加权):[X]%
【股权成本】
□ CAPM:[X]%(Rf=[X]%,β=[X],ERP=[X]%)
□ DCF 隐含成本(验证):[X]%
□ 采用股权成本:[X]%
【WACC】
□ 当前 WACC:[X]%
□ D/V:[X]% | E/V:[X]%
【边际融资成本】
□ 新增债务边际成本:[X]%
□ 新增股权边际成本:[X]%
□ 边际 WACC:[X]%(vs 当前 [+/-X] bps)
【WACC 敏感性】
| 变动因素 | 变动幅度 | WACC 变动 |
|---------|---------|---------|
| 股权成本 | +/-100bps | [+/-X]bps |
| 债务成本 | +/-100bps | [+/-X]bps |
| D/V 比例 | +/-10% | [+/-X]bps |
═══════════════════════════════════════
置信度:[✅ 高 / ⚠️ 中 / 🔴 低]
适用决策:[投资评估/融资决策/并购定价]
═══════════════════════════════════════
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 · 209 lines · 92 tokens per session scan A 7ea226c79d3f
financing-cost-calculation is a skill published in the GitHub repository vivy-yi/finance-skills (29 stars, last pushed 3mo ago), licensed MIT. It adds 92 tokens to every session and 1,878 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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