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Agent Skill · 待分类

return-calculations(回报计算)

return-calculations 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

return-calculations 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证信息还不明确,第三方扫描已通过,按安装量在待分类类的 11,209 个 Skill 里排第 2,134。

总安装 1,848周安装 77GitHub Stars 58下载 616核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:return-calculations(回报计算)
来源仓库:https://github.com/joellewis/finance_skills
仓库路径:skills/return-calculations
安装命令:
npx skills add https://github.com/joellewis/finance_skills --skill return-calculations
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/joellewis/finance_skills --skill return-calculations

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

return-calculations 用于处理财务回报计算相关任务,辅助分析投资、收益或成本效益。适用于 Codex、Claude、Cursor、Gemini CLI 中进行金融建模、风险评估或绩效分析的场景。通过 GitHub 安装,使用 npx skills add 命令从指定仓库添加技能。

使用前需确认权限范围和维护状态,注意是否触发数据访问或外部 API 调用。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/return-calculations

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/joellewis/finance_skills --skill return-calcul…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

return-calculations 怎么安装?

在终端执行 npx skills add https://github.com/joellewis/finance_skills --skill return-calculations。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

return-calculations 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

return-calculations 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/joellewis/finance_skills --skill return-calculations 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

return-calculations 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

return-calculations 用的人多吗?

公开数据是累计安装 1,848 次,近一周安装 77 次,下载 616 次,GitHub 58 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

return-calculations 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
return-calculations

回报计算 · 本页

1,84858执行命令未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Return Calculations

Purpose

This skill enables Claude to compute, explain, and compare investment return metrics across different methodologies and time horizons. It covers the full spectrum from simple holding-period returns through time-weighted and money-weighted returns, ensuring the appropriate metric is selected for each analytical context.

Layer

0 — Mathematical Foundations

Direction

retrospective

When to Use

  • User asks about calculating investment returns
  • Comparing returns across different time periods
  • Understanding arithmetic vs geometric vs log returns
  • Computing CAGR, TWR, MWR/IRR
  • Linking sub-period returns

Core Concepts

Simple (Holding Period) Return

The most basic measure of investment performance over a single period, capturing price change plus any income received.

$$R = \frac{V_{end} - V_{begin} + D}{V_{begin}}$$

where:

  • V_end = ending value
  • V_begin = beginning value
  • D = distributions (dividends, interest) received during the period

Arithmetic Mean Return

The simple average of a series of periodic returns. Represents the expected return for any single period.

$$R_a = \frac{1}{n} \sum_{i=1}^{n} R_i$$

The arithmetic mean is always greater than or equal to the geometric mean. It is an unbiased estimator of the expected single-period return but overstates the compounded growth rate.

Geometric Mean Return

The constant rate that, if earned each period, would produce the same terminal wealth as the actual sequence of returns.

$$R_g = \left(\prod_{i=1}^{n}(1 + R_i)\right)^{1/n} - 1$$

The geometric mean captures the effects of compounding and volatility drag. It is always the correct choice for describing realized multi-period growth.

Log (Continuously Compounded) Return

The natural logarithm of the wealth ratio. Log returns are time-additive, making them convenient for multi-period aggregation and statistical modeling.

$$r = \ln\left(\frac{V_{end}}{V_{begin}}\right)$$

Properties:

  • Time-additive: r_total = r_1 + r_2 +... + r_n
  • Conversion: R_simple = e^r - 1 and r = ln(1 + R_simple)
  • More symmetric and closer to normally distributed than simple returns for small magnitudes

CAGR (Compound Annual Growth Rate)

The annualized geometric return that equates the beginning value to the ending value over a given number of years.

$$CAGR = \left(\frac{V_{end}}{V_{begin}}\right)^{1/n} - 1$$

where n is measured in years. CAGR smooths out volatility and provides a single annualized growth figure.

Time-Weighted Return (TWR)

Chain-links sub-period returns calculated between each external cash flow, thereby removing the effect of cash flow timing on the measured return. TWR measures the manager's investment skill independent of investor deposit/withdrawal decisions.

$$1 + R_{TWR} = \prod_{i=1}^{n}(1 + R_i)$$

where each sub-period return R_i is computed between consecutive cash flow dates:

$$R_i = \frac{V_{end,i}}{V_{begin,i} + CF_i}$$

In practice, exact TWR requires portfolio valuation on every cash flow date. The Modified Dietz method approximates TWR when daily valuations are unavailable.

Money-Weighted Return (MWR / IRR)

The internal rate of return that sets the net present value of all cash flows (contributions, withdrawals, and terminal value) to zero.

$$0 = \sum_{t=0}^{T} \frac{CF_t}{(1 + r)^t}$$

MWR reflects the actual investor experience because it is sensitive to the timing and magnitude of cash flows. It rewards (penalizes) investors who add capital before good (bad) periods.

Annualization

Converts a return measured over any holding period to an equivalent annual rate, assuming compounding.

$$R_{annual} = (1 + R_{period})^{periods_per_year} - 1$$

For example, a 2% quarterly return annualizes to (1.02)^4 - 1 = 8.24%.

Sub-Period Linking

Combines returns from contiguous sub-periods into a single cumulative return.

$$(1 + R_{total}) = \prod_{i=1}^{n}(1 + R_i)$$

This is the foundational identity behind TWR and CAGR calculations.

Key Formulas

FormulaExpressionUse Case
Holding Period ReturnR = (V_end - V_begin + D) / V_beginSingle-period total return
Arithmetic MeanR_a = (1/n) * sum(R_i)Expected single-period return
Geometric MeanR_g = [prod(1+R_i)]^(1/n) - 1Realized compound growth rate
Log Returnr = ln(V_end / V_begin)Time-additive return for modeling
CAGR(V_end / V_begin)^(1/n) - 1Annualized growth over n years
TWRprod(1 + R_i) - 1Manager performance (cash-flow neutral)
MWR / IRRsum(CF_t / (1+r)^t) = 0, solve for rInvestor-specific experience
Annualization(1 + R_period)^(periods/year) - 1Standardize to annual basis
Sub-Period Linking(1 + R_total) = prod(1 + R_i)Combine contiguous returns

Worked Examples

Example 1: Computing CAGR from a 5-Year Investment

Given: An investment of $10,000 grows to $16,105.10 over exactly 5 years with no intermediate cash flows.

Calculate: The compound annual growth rate (CAGR).

Solution:

CAGR = (V_end / V_begin)^(1/n) - 1
CAGR = (16,105.10 / 10,000)^(1/5) - 1
CAGR = (1.610510)^(0.2) - 1
CAGR = 1.10 - 1
CAGR = 0.10 = 10%

The investment grew at a compound annual rate of 10% per year.

Verification: $10,000 * (1.10)^5 = $10,000 * 1.61051 = $16,105.10

Example 2: TWR vs MWR Divergence with Poorly Timed Cash Flow

Given: A fund has the following history:

  • Start of Year 1: Portfolio value = $100,000
  • End of Year 1: Portfolio value = $120,000 (return = +20%)
  • Start of Year 2: Investor deposits $100,000, bringing portfolio to $220,000
  • End of Year 2: Portfolio value = $198,000 (return = -10%)

Calculate: Both TWR and MWR, and explain the divergence.

Solution:

Time-Weighted Return (TWR):

Sub-period 1 return: R_1 = (120,000 - 100,000) / 100,000 = +20%
Sub-period 2 return: R_2 = (198,000 - 220,000) / 220,000 = -10%

TWR (cumulative) = (1 + 0.20) * (1 + (-0.10)) - 1
                  = 1.20 * 0.90 - 1
                  = 1.08 - 1
                  = +8.0%

TWR (annualized) = (1.08)^(1/2) - 1 = 3.92%

Money-Weighted Return (MWR / IRR): Cash flows from the investor's perspective:

  • t=0: -$100,000 (initial investment)
  • t=1: -$100,000 (additional deposit)
  • t=2: +$198,000 (terminal value)

Solve: -100,000 + (-100,000)/(1+r) + 198,000/(1+r)^2 = 0

Testing r = -0.0051 (approximately -0.51%):

-100,000 + (-100,000)/0.9949 + 198,000/0.9899
= -100,000 - 100,512.6 + 200,020.2
approx -492.4  (close to zero; actual IRR approx -0.48%)

The MWR is approximately -0.48% annualized.

Interpretation: The TWR of +3.92% annualized reflects the manager's skill: the fund gained 20% then lost 10%, netting +8% over two years. The MWR of approximately -0.48% reflects the investor's experience: more money was at risk during the losing year (Year 2) because of the large deposit, so the investor's dollar-weighted outcome was slightly negative. This divergence highlights why TWR is preferred for evaluating manager performance, while MWR better describes the specific investor's realized result.

Common Pitfalls

  • Confusing arithmetic and geometric means: the arithmetic mean is always greater than or equal to the geometric mean (AM-GM inequality). Using arithmetic mean to project compounded growth overstates terminal wealth.
  • Using arithmetic mean for multi-period compounding: always use geometric mean or CAGR when describing compound growth over multiple periods.
  • Annualizing returns from very short periods: annualizing a 2% weekly return yields (1.02)^52 - 1 = 180%, which amplifies noise and is misleading. Annualization is most meaningful for periods of at least one year.
  • Ignoring cash flow timing when TWR is appropriate: MWR conflates manager skill with investor timing decisions. Use TWR for manager evaluation.
  • Double-counting dividends: if the ending value V_end already includes reinvested dividends, do not add D separately in the holding period return formula.

Cross-References

  • time-value-of-money (core plugin, Layer 0): NPV, IRR, and discounting concepts overlap with MWR calculations
  • statistics-fundamentals (core plugin, Layer 0): Arithmetic and geometric means, return distribution analysis

Reference Implementation

See scripts/return_calculations.py for computational helpers.

平台分布

Codex

37.15%
按下载量换算229

Claude

30%
按下载量换算185

Cursor

17.03%
按下载量换算105

Gemini CLI

8.83%
按下载量换算54

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/joellewis/finance_skills --skill return-calculations 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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