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Agent Skill · 待分类

investment-policy(投资政策)

investment-policy 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。

investment-policy 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;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 2,102。

总安装 1,877周安装 79GitHub Stars 58下载 657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:investment-policy(投资政策)
来源仓库:https://github.com/joellewis/finance_skills
仓库路径:skills/investment-policy
安装命令:
npx skills add https://github.com/joellewis/finance_skills --skill investment-policy
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 investment-policy

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。

investment-policy 用于处理 GitHub 仓库、Issue、Pull Request 等协作信息。适用于围绕代码变更、仓库状态或团队协作事项进行整理与分析。通过 npx skills add 命令从指定 GitHub 仓库安装并使用该技能。

安装前需确认权限范围、维护状态及是否触发联网、命令执行或文件读写。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/investment-policy

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 investment-po…;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

investment-policy 怎么安装?

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

investment-policy 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。

investment-policy 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

investment-policy 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。

investment-policy 用的人多吗?

公开数据是累计安装 1,877 次,近一周安装 79 次,下载 657 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。

investment-policy 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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 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。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 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
investment-policy

投资政策 · 本页

1,87758只读未明确通过

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

Investment Policy Statement Construction

Purpose

Guide the construction of comprehensive Investment Policy Statements (IPS) that govern all investment decisions. This skill covers return objective setting, risk tolerance assessment, constraint identification, asset allocation policy, and ongoing review frameworks.

Layer

5 — Policy & Planning

Direction

prospective

When to Use

  • Building an investment policy statement for an individual, endowment, or foundation
  • Defining return objectives (nominal and real) based on future liabilities or spending needs
  • Assessing risk tolerance by reconciling financial capacity with psychological comfort
  • Setting constraints across liquidity, legal/regulatory, time horizon, tax, and unique circumstances
  • Establishing portfolio guidelines including asset allocation ranges and rebalancing triggers
  • Selecting benchmarks and defining manager evaluation criteria
  • Scheduling periodic IPS and performance reviews

Core Concepts

Investment Policy Statement (IPS)

The IPS is the governing document for all investment decisions. It specifies objectives (return and risk), constraints, asset allocation ranges, rebalancing policy, benchmark selection, and review schedule. Every portfolio action should be traceable back to IPS provisions.

Return Objective

The required return is the rate that funds all future liabilities and goals.

  • Required return: Solve for the discount rate that equates the present value of assets to the present value of future liabilities/spending needs.
  • Spending rate (endowments/foundations): Typically set as a percentage of a rolling average of portfolio value (e.g., 5% of 3-year rolling average AUM). The required nominal return must cover spending + inflation + fees.

- Required nominal return = spending rate + expected inflation + investment management fees

Risk Tolerance

Risk tolerance has two dimensions that must be assessed independently:

  • Ability (financial capacity): Determined by time horizon, wealth relative to liabilities, income stability, and liquidity needs. Longer horizons and greater surplus increase ability.
  • Willingness (psychological comfort): Determined by behavioral assessment, past responses to losses, and stated preferences.
  • Conflict resolution rule: When ability and willingness conflict, the lower of the two governs. A client with high ability but low willingness should be invested conservatively (with education to potentially raise willingness over time).

Constraints (LLTU+U)

Five categories of constraints must be addressed in every IPS:

  • Liquidity: Anticipated cash needs, emergency reserves, near-term spending requirements
  • Legal/Regulatory: ERISA rules, trust provisions, foundation payout requirements, prudent investor standards
  • Time horizon: Single-stage or multi-stage; longer horizons generally permit more risk
  • Tax: Taxable vs tax-deferred vs tax-exempt status; impact on asset allocation and rebalancing
  • Unique circumstances: ESG/SRI restrictions, concentrated stock positions, employer stock, legacy holdings, personal preferences

Asset Allocation Policy

Strategic Asset Allocation (SAA) defines long-term target ranges:

  • Example ranges: equity 50-70%, fixed income 20-40%, alternatives 0-15%
  • Ranges permit tactical tilts within policy bounds
  • Policy allocation is the primary driver of long-term returns (commonly cited as explaining ~90% of return variability across time)

Rebalancing Policy

Specifies when and how the portfolio is brought back to target weights:

  • Calendar-based: Rebalance at fixed intervals (quarterly, semi-annually)
  • Threshold-based (percentage-of-portfolio): Rebalance when any asset class drifts beyond a specified band (e.g., ±5% absolute)
  • Combined: Check at calendar intervals, rebalance only if thresholds are breached
  • Wider bands reduce transaction costs but allow more drift; narrower bands maintain discipline but increase costs

Benchmark Selection

An appropriate benchmark must be:

  • Investable: Represents a viable passive alternative
  • Measurable: Returns can be calculated on a timely basis
  • Specified in advance: Chosen before the evaluation period, not after
  • Appropriate: Matches the portfolio's asset classes, style, and risk profile
  • Owned by the manager: The manager should agree the benchmark is fair

Manager Selection Criteria (The Five Ps)

  • Philosophy: Clear, coherent investment belief system
  • Process: Systematic, repeatable approach consistent with philosophy
  • People: Experienced, stable team with aligned incentives
  • Performance: Track record evaluated against appropriate benchmark over full market cycles
  • Price: Fees competitive relative to peers and value added

Review Schedule

  • Annual IPS review: Reassess objectives, constraints, and circumstances
  • Quarterly performance review: Evaluate returns, attribution, and benchmark comparison
  • Trigger-based review: Major life events, market dislocations, or material changes in circumstances

Key Formulas

FormulaExpressionUse Case
Required nominal returnR_nom = spending_rate + inflation + feesEndowment/foundation return target
Required return (goal-based)Solve: PV(assets) = Σ [CF_t / (1+R)^t]Individual required return
Real return from nominalR_real ≈ R_nom - inflationConverting between real and nominal
Spending amount (rolling avg)Spend = rate × (1/3)(AUM_t + AUM_{t-1} + AUM_{t-2})Endowment annual distribution
Rebalancing triggerw_actual - w_target

Worked Examples

Example 1: IPS for a 45-year-old pre-retiree

Given: Age 45, current portfolio $2M, needs $100K/year (today's dollars) starting at age 65, life expectancy 90, inflation 2.5%, portfolio fees 0.5%. Calculate: Required nominal return. Solution:

  1. Time horizon: 20 years to retirement + 25 years in retirement = two-stage horizon.
  2. At retirement, need $100K × (1.025)^20 = $163,862/year in nominal terms.
  3. Required nest egg at 65 (25-year payout at ~5% real return): PV of $163,862/year annuity growing at 2.5% inflation, discounted at ~7.5% nominal ≈ $2.76M.
  4. Required return: solve $2M × (1+R)^20 = $2.76M → R = (2.76/2.0)^(1/20) - 1 ≈ 1.6% nominal (if no additional contributions). With $0 contributions, the required return is modest.
  5. If the client also contributes $30K/year, the required return is even lower, suggesting moderate risk tolerance is sufficient.
  6. Risk tolerance: ability is moderate-to-high (long horizon, stable income); assess willingness via questionnaire. If willingness is moderate, adopt moderate allocation (e.g., 60/40).

Example 2: Endowment spending policy

Given: $50M endowment, 5% spending rule on 3-year rolling average, expected inflation 2.5%, investment fees 0.5%. Calculate: Required nominal return to maintain real value. Solution:

  1. Annual spending = 5% × $50M = $2.5M (assuming stable AUM at $50M).
  2. To maintain purchasing power, the endowment must grow by at least inflation: 2.5%.
  3. Required nominal return = spending rate + inflation + fees = 5.0% + 2.5% + 0.5% = 8.0%.
  4. This implies a growth-oriented allocation (e.g., 70% equity, 20% fixed income, 10% alternatives).
  5. If 8% seems aggressive, the board may need to reduce spending rate or accept gradual real erosion.

Common Pitfalls

  • Setting return objectives higher than risk tolerance allows — the return target must be achievable within the risk budget
  • Ignoring inflation in required return calculations — understating the true return hurdle
  • Not revisiting the IPS when circumstances change — life events, market regimes, and regulatory changes demand updates
  • Confusing risk ability with risk willingness — they are separate assessments and must be reconciled
  • Setting constraints too rigid (reduces flexibility and increases costs) or too loose (provides no discipline)
  • Choosing benchmarks after the fact to make performance look better
  • Ignoring the interaction between constraints (e.g., tax considerations affecting asset allocation ranges)

Cross-References

  • tax-efficiency (wealth-management plugin, Layer 5): asset location and withdrawal sequencing affect IPS constraint section
  • performance-attribution (wealth-management plugin, Layer 5): benchmark selection in IPS directly feeds performance evaluation
  • liquidity-management (wealth-management plugin, Layer 6): liquidity constraint in IPS depends on cash flow analysis
  • savings-goals (wealth-management plugin, Layer 6): return objectives often derived from goal-based planning
  • emergency-fund (wealth-management plugin, Layer 6): emergency reserve requirement feeds into IPS liquidity constraint
  • client-review-prep (advisory-practice plugin, Layer 10): IPS provides the reference framework for evaluating drift and suitability during reviews
  • financial-planning-workflow (advisory-practice plugin, Layer 10): the financial plan informs and is codified in the investment policy statement
  • tax-loss-harvesting (wealth-management plugin, Layer 5): IPS may specify TLH policy parameters (minimum loss threshold, approved replacement pairs)

平台分布

Codex

33.61%
按下载量换算221

Claude

31.67%
按下载量换算208

Cursor

20.2%
按下载量换算133

Gemini CLI

9.89%
按下载量换算65

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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