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income-statement损益表

Agent Skill

income-statement 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。

总安装

1,576

周安装

67

GitHub Stars

37

下载量

552
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:income-statement(损益表)
来源仓库:https://github.com/octagonai/skills
仓库路径:skills/income-statement
安装命令:
npx skills add https://github.com/octagonai/skills --skill income-statement
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/octagonai/skills --skill income-statement

简介

income-statement 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适用于围绕仓库状态、代码变更和协作事项进行整理分析。
  • 通过 npx skills add 命令从 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或文件操作。
  • 建议结合原始 README 文档进一步核验具体用法和功能边界。

SKILL.md

Income Statement

Retrieve real-time income statement data for public companies using Octagon MCP.

Prerequisites

Ensure Octagon MCP is configured in your AI agent (Cursor, Claude Desktop, Windsurf, etc.). See references/mcp-setup.md for installation instructions.

Query Format

Retrieve real-time income statement data for <TICKER>, limited to <N> records and filtered by period <FY|Q>.

MCP Call:

{
  "server": "octagon-mcp",
  "toolName": "octagon-agent",
  "arguments": {
    "prompt": "Retrieve real-time income statement data for AAPL, limited to 5 records and filtered by period FY"
  }
}

Output Format

The agent returns a table with absolute financial figures:

Fiscal YearRevenue (USD)Net Income (USD)EPS (Diluted)
2025$416,161,000,000$112,010,000,0007.46
2024$391,035,000,000$93,736,000,0006.08
2023$383,285,000,000$96,995,000,0006.13
2022$394,328,000,000$99,803,000,0006.11
2021$365,817,000,000$94,680,000,0005.61

Data Source: octagon-financials-agent

Key Observations Pattern

After receiving data, generate observations:

  1. Revenue trajectory: Calculate dollar and percentage changes year-over-year
  2. Net income trends: Track profitability in absolute terms
  3. EPS progression: Note earnings per share expansion or contraction
  4. Margin calculation: Compute Net Income / Revenue for net margin
  5. Scale context: Compare figures to industry peers

Metrics Reference

MetricDefinition
RevenueTotal sales/top-line income for the period
Net IncomeBottom-line profit after all expenses and taxes
EPS (Diluted)Earnings per share assuming all dilutive securities converted

Analysis Tips

Revenue Scale

  • Use to compare company size across industry
  • Track absolute dollar growth, not just percentages
  • Larger base requires more absolute growth to maintain % growth

Net Income Quality

  • Compare Net Income to Operating Income for non-operating items
  • Check for one-time gains/losses distorting figures
  • Look for consistent growth trajectory

EPS Analysis

  • EPS can grow faster than Net Income due to buybacks
  • Compare to analyst estimates and guidance
  • Check shares outstanding for context

Margin Calculation

Calculate from the data:

Net Margin = Net Income / Revenue × 100

Example: $112B / $416B = 26.9% net margin

Period Comparisons

  • FY for annual strategic view
  • Q for seasonal patterns and recent trends
  • Compare same periods (Q1 vs Q1) for seasonality

Follow-up Queries

Based on results, suggest deeper analysis:

  • "What factors contributed to the revenue growth in [YEAR]?"
  • "How does [COMPANY]'s [YEAR] net margin compare to industry peers?"
  • "What are the key drivers of the EPS expansion over the [N]-year period?"
  • "Retrieve quarterly income statement data for [TICKER] to see seasonal patterns"

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.53%
按下载量换算202

Claude

29.42%
按下载量换算162

Cursor

19.42%
按下载量换算107

Gemini CLI

10.64%
按下载量换算59

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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