expense-ratio-analysis

expense-ratio-analysis is a skill for Claude Code from vivy-yi/finance-skills. It costs 99 tokens per session (2,935 once invoked), scanned A, original, MIT.

A process for comparing sales, administrative, and research-and-development spending with revenue, budgets, targets, and earlier periods. It breaks down spending by type and department.

In plain words
What is it for?
Use it for monthly expense reviews, budget-versus-actual analysis, department comparisons, trend monitoring, and investigating sudden changes in marketing or other expense ratios.
Why use it?
It helps reveal whether a rising expense ratio reflects a planned investment or uncontrolled overspending. It also traces unusually high costs to likely causes.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: mentions CLAUDE.md.

Good fit Use it for monthly expense reviews, budget-versus-actual analysis, department comparisons, trend monitoring, and investigating sudden changes in marketing or other expense ratios.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vivy-yi/finance-skills/expense-ratio-analysis
Install

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.

Any agent
npx skills add vivy-yi/finance-skills --skill expense-ratio-analysis
Clone the repo
git clone --depth 1 https://github.com/vivy-yi/finance-skills

Made for: Claude Code.

Wrote 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.

agentmods badge for expense-ratio-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/vivy-yi/finance-skills/expense-ratio-analysis/github.svg)](https://agentmods.dev/skills/vivy-yi/finance-skills/expense-ratio-analysis)
Your own site
<a href="https://agentmods.dev/skills/vivy-yi/finance-skills/expense-ratio-analysis"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/expense-ratio-analysis/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.

agentmods 80×15 button for expense-ratio-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/vivy-yi/finance-skills/expense-ratio-analysis"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/expense-ratio-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 99 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,935 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00099 $0.02935
Opus 5 $0.00049 $0.01468
Sonnet 5 $0.00020 $0.00587
Haiku 4.5 $0.00010 $0.00294

Measured 12d ago against content hash cc1de92cb393, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

expense-ratio-analysis 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.

finance-skills/skills/cost-control/skills/expense-ratio-analysis/SKILL.md · 289 lines

How it starts

The opening of the file, as written. The whole thing — 289 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(费用率目标/超支标准/人均费用)。


/expense-ratio-analysis — 费用率分析

Examples

→ 示例:用户说"帮我们分析一下各项费用率的变化,看看管控是否有效",系统应调用本技能,执行费用率趋势分析。

→ 示例:用户说"营销费用占收入比突然升高了 2 个点,帮我分析原因",系统应调用本技能,分析营销费用率上升原因。

→ 示例:用户说"帮我们对比一下行业内其他公司的费用率水平",系统应调用本技能,执行费用率行业对标分析。

第一步:获取费用数据

从 [ERP]/[BK] 获取费用数据:

□ 本期数据:[YYYY年MM月]
□ 上期数据:[YYYY年MM月]
□ 去年同期:[YYYY年MM月]
□ 预算数据:[YYYY年]全年预算

□ 获取字段:
  销售费用 | 管理费用 | 研发费用
  各费用明细科目 | 人员数量 | 收入

第二步:费用率概览分析

费用率三维度对比:

        | 本期    | 上期    | 去年同期 | 预算    | 目标
--------|---------|---------|---------|---------|-------
销售费用率 | [X%]  | [X%]   | [X%]   | [X%]   | [X%]
管理费用率 | [X%]  | [X%]   | [X%]   | [X%]   | [X%]
研发费用率 | [X%]  | [X%]   | [X%]   | [X%]   | [X%]
总费用率  | [X%]  | [X%]   | [X%]   | [X%]   | [X%]

趋势判断:

□ 费用率上升 > [X]% → ⚠️ 关注
□ 费用率连续 [X] 月上升 → 🔴 预警
□ 费用率下降 < [X]% → ✅ 改善

第三步:销售费用深度分析

销售费用结构:

        | 本期    | 预算    | 执行率  | 同比    | 超支
--------|---------|---------|---------|---------|-------
人员成本 | [XXX万] | [XXX万] | [X%]   | [±X%]  | [±XXX万]
差旅费  | [XXX万] | [XXX万] | [X%]   | [±X%]  | [±XXX万]
招待费  | [XXX万] | [XXX万] | [X%]   | [±X%]  | [±XXX万]
市场推广 | [XXX万] | [XXX万] | [X%]   | [±X%]  | [±XXX万]
佣金    | [XXX万] | [XXX万] | [X%]   | [±X%]  | [±XXX万]
合计    | [XXX万] | [XXX万] | [X%]   | [±X%]  | [±XXX万]

人均销售费用:

□ 销售人数:[X] 人
□ 人均销售费用:[X] 万/人(目标 [X] 万/人)
□ 人均创收:[X] 万/人
□ 费用收入比:[X]%(目标 [X]%)

超支归因:

□ 合理性超支(战略性投入):
  - 新市场开拓:[XXX万] — 预期回报 [描述]
  - 大客户攻关:[XXX万] — 预期回报 [描述]
  - 行业展会/年:[XXX万] — 品牌建设

□ 失控性超支(内部问题):
  - 报销标准执行不严:[XXX万]
  - 人员扩张失控:[XXX万]
  - 市场活动ROI低:[XXX万]

第四步:管理费用深度分析

管理费用结构:

        | 本期    | 预算    | 执行率  | 同比    | 超支
--------|---------|---------|---------|---------|-------
人员成本 | [XXX万] | [XXX万] | [X%]   | [±X%]  | [±XXX万]
折旧摊销 | [XXX万] | [XXX万] | [X%]   | [±X%]  | [±XXX万]
办公差旅 | [XXX万] | [XXX万] | [X%]   | [±X%]  | [±XXX万]
咨询顾问 | [XXX万] | [XXX万] | [X%]   | [±X%]  | [±XXX万]
合计    | [XXX万] | [XXX万] | [X%]   | [±X%]  | [±XXX万]

Read the full file on GitHub · 289 lines

Changes

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.

  1. 12d ago First seen · 289 lines · 99 tokens per session scan A cc1de92cb393

Subscribe to this mod's changes

expense-ratio-analysis is a skill published in the GitHub repository vivy-yi/finance-skills (29 stars, last pushed 3mo ago), licensed MIT. It adds 99 tokens to every session and 2,935 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 2026-08-30.

Related

Other skills, from other repositories

wealth-structure

A framework for thinking about wealth through ownership, responsibility, leverage, and avoiding risks that could end your progress.

kangarooking/cangjie-skill · 141 tokens

alpha-vantage

Access real-time and historical stock market data, forex rates, cryptocurrency prices, commodities, economic indicators, and 50+ technical indicators via the Alpha Vantage API. Use when fetching stock prices (OHLCV), company fundamentals (income statement, balance sheet, cash flow), earnings, options data, market…

foryourhealth111-pixel/Vibe-Skills · 126 tokens

hedgefundmonitor

Query the OFR (Office of Financial Research) Hedge Fund Monitor API for hedge fund data including SEC Form PF aggregated statistics, CFTC Traders in Financial Futures, FICC Sponsored Repo volumes, and FRB SCOOS dealer financing terms. Access time series data on hedge fund size, leverage, counterparties, liquidity…

foryourhealth111-pixel/Vibe-Skills · 123 tokens

edgartools

Python library for accessing, analyzing, and extracting data from SEC EDGAR filings. Use when working with SEC filings, financial statements (income statement, balance sheet, cash flow), XBRL financial data, insider trading (Form 4), institutional holdings (13F), company financials, annual/quarterly reports (10-K…

foryourhealth111-pixel/Vibe-Skills · 110 tokens

asc-ppp-pricing

Set territory-specific pricing for subscriptions and in-app purchases using current asc setup, pricing summary, price import, and price schedule commands. Use when adjusting prices by country or implementing localized PPP strategies.

rorkai/app-store-connect-cli-skills · 45 tokens

fred-economic-data

Query FRED (Federal Reserve Economic Data) API for 800,000+ economic time series from 100+ sources. Access GDP, unemployment, inflation, interest rates, exchange rates, housing, and regional data. Use for macroeconomic analysis, financial research, policy studies, economic forecasting, and academic research requiring…

foryourhealth111-pixel/Vibe-Skills · 75 tokens