Agent Skillsynulihao/AgentSkillOS › analyzing-financial-statements

analyzing-financial-statements

GitHub

用于从财务报表数据中计算关键财务比率(如盈利能力、流动性、估值等)并进行投资分析。支持多种输入格式,提供指标计算、行业基准对比及趋势解读,辅助评估公司绩效与价值。

data/skill_seeds/analyzing-financial-statements/SKILL.md ynulihao/AgentSkillOS

Trigger Scenarios

需要计算财务比率 进行投资分析或公司绩效评估

Install

npx skills add ynulihao/AgentSkillOS --skill analyzing-financial-statements -g -y
More Options

Non-standard path

npx skills add https://github.com/ynulihao/AgentSkillOS/tree/main/data/skill_seeds/analyzing-financial-statements -g -y

Use without installing

npx skills use ynulihao/AgentSkillOS@analyzing-financial-statements

指定 Agent (Claude Code)

npx skills add ynulihao/AgentSkillOS --skill analyzing-financial-statements -a claude-code -g -y

安装 repo 全部 skill

npx skills add ynulihao/AgentSkillOS --all -g -y

预览 repo 内 skill

npx skills add ynulihao/AgentSkillOS --list

SKILL.md

Frontmatter
{
    "name": "analyzing-financial-statements",
    "description": "This skill calculates key financial ratios and metrics from financial statement data for investment analysis"
}

Financial Ratio Calculator Skill

This skill provides comprehensive financial ratio analysis for evaluating company performance, profitability, liquidity, and valuation.

Capabilities

Calculate and interpret:

  • Profitability Ratios: ROE, ROA, Gross Margin, Operating Margin, Net Margin
  • Liquidity Ratios: Current Ratio, Quick Ratio, Cash Ratio
  • Leverage Ratios: Debt-to-Equity, Interest Coverage, Debt Service Coverage
  • Efficiency Ratios: Asset Turnover, Inventory Turnover, Receivables Turnover
  • Valuation Ratios: P/E, P/B, P/S, EV/EBITDA, PEG
  • Per-Share Metrics: EPS, Book Value per Share, Dividend per Share

How to Use

  1. Input Data: Provide financial statement data (income statement, balance sheet, cash flow)
  2. Select Ratios: Specify which ratios to calculate or use "all" for comprehensive analysis
  3. Interpretation: The skill will calculate ratios and provide industry-standard interpretations

Input Format

Financial data can be provided as:

  • CSV with financial line items
  • JSON with structured financial statements
  • Text description of key financial figures
  • Excel files with financial statements

Output Format

Results include:

  • Calculated ratios with values
  • Industry benchmark comparisons (when available)
  • Trend analysis (if multiple periods provided)
  • Interpretation and insights
  • Excel report with formatted results

Example Usage

"Calculate key financial ratios for this company based on the attached financial statements"

"What's the P/E ratio if the stock price is $50 and annual earnings are $2.50 per share?"

"Analyze the liquidity position using the balance sheet data"

Scripts

  • calculate_ratios.py: Main calculation engine for all financial ratios
  • interpret_ratios.py: Provides interpretation and benchmarking

Best Practices

  1. Always validate data completeness before calculations
  2. Handle missing values appropriately (use industry averages or exclude)
  3. Consider industry context when interpreting ratios
  4. Include period comparisons for trend analysis
  5. Flag unusual or concerning ratios

Limitations

  • Requires accurate financial data
  • Industry benchmarks are general guidelines
  • Some ratios may not apply to all industries
  • Historical data doesn't guarantee future performance

Version History

  • c3cfae1 Current 2026-07-24 16:00

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Metadata

Files
0
Version
c3cfae1
Hash
75b9aeac
Indexed
2026-07-24 16:00

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