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 profit-analysisgit 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/profit-analysis)<a href="https://agentmods.dev/skills/vivy-yi/finance-skills/profit-analysis"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/profit-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.
<a href="https://agentmods.dev/skills/vivy-yi/finance-skills/profit-analysis"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/profit-analysis.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 | $0.00107 | $0.02394 |
| Opus 5 | $0.00053 | $0.01197 |
| Sonnet 5 | $0.00021 | $0.00479 |
| Haiku 4.5 | $0.00011 | $0.00239 |
Grade A, and why
profit-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 11d 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 — 267 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(KPI 阈值/预算差异标准/行业参考值)。
/profit-analysis — 利润表分析
Examples
→ 示例:用户说"帮我们分析一下这个月利润表的主要变化,哪些科目影响最大",系统应调用本技能,执行利润表变动分析。
→ 示例:用户说"不同产品线的毛利率差很多,帮我分析一下原因",系统应调用本技能,执行产品线毛利率差异分析。
→ 示例:用户说"帮我们分析一下价格调整对利润的影响,涨 5% 能多赚多少",系统应调用本技能,评估价格变动对利润的敏感性。
第一步:获取利润表数据
从 [ERP] 获取利润表数据:
□ 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:
收入 | 成本 | 毛利 | 毛利率 | 费用 | 费用率 | 营业利润 | 净利率
第二步:收入分析
收入三维度对比:
| 本期 | 上期 | 去年同期 | 预算 |
|--------|----------|----------|----------|----------|
收入 | [XXX万] | [XXX万] | [XXX万] | [XXX万] |
环比变化| — | [±X万] | — | — |
同比变化| — | — | [±X万] | — |
预算差异| — | — | — | [±X万] |
异常识别:
□ 收入同比下降 > [X]% → ⚠️ 须分析原因
□ 收入环比下降 > [X]% → ⚠️ 区分季节性/趋势性
□ 收入低于预算 > [X]% → ⚠️ 须分析预算偏差
归因分析(按产品/部门/客户):
□ 哪个产品线收入变化最大?
□ 哪个部门收入变化最大?
□ 哪个客户贡献了主要变化?
□ 是否有一次性因素(季节性/促销/退货)?
第三步:成本分析
成本三维度对比:
| 本期 | 上期 | 去年同期 | 预算 |
|--------|----------|----------|----------|----------|
成本 | [XXX万] | [XXX万] | [XXX万] | [XXX万] |
毛利 | [XXX万] | [XXX万] | [XXX万] | [XXX万] |
毛利率 | [X%] | [X%] | [X%] | [X%] |
毛利异常识别:
□ 毛利率低于目标值 [X%] → ⚠️ 须分析原因
□ 毛利率同比下降 > [X%] → 🔴 结构性恶化
□ 毛利率环比下降 > [X%] → ⚠️ 短期波动/季节性
□ 毛利率低于预算 [X%] → ⚠️ 须解释偏差
毛利差异分解:
□ 销量变化贡献:[+,X万](量增/量减)
□ 价格变化贡献:[+,X万](价升/价降)
□ 成本变化贡献:[+,X万](成本升/成本降)
□ 结构变化贡献:[+,X万](产品/客户组合变化)
→ 合计差异:[+,X万] vs 预算/同期
第四步:费用分析
费用三维度对比:
| 本期 | 上期 | 去年同期 | 预算 |
|--------|----------|----------|----------|----------|
销售费用| [XXX万] | [XXX万] | [XXX万] | [XXX万] |
管理费用| [XXX万] | [XXX万] | [XXX万] | [XXX万] |
研发费用| [XXX万] | [XXX万] | [XXX万] | [XXX万] |
财务费用| [XXX万] | [XXX万] | [XXX万] | [XXX万] |
费用合计| [XXX万] | [XXX万] | [XXX万] | [XXX万] |
费用率 | [X%] | [X%] | [X%] | [X%] |
费用异常识别:
□ 费用增长率 > 收入增长率 → ⚠️ 费用失控
□ 某项费用率高于目标 → ⚠️ 须分析
□ 费用超预算 > [X]% → ⚠️ 须解释
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.
- 11d ago First seen · 267 lines · 107 tokens per session scan A 0764eb5b3ac5
profit-analysis is a skill published in the GitHub repository vivy-yi/finance-skills (28 stars, last pushed 2mo ago), licensed MIT. It adds 107 tokens to every session and 2,394 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.
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.
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…
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…
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…
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.
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…