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historical-financial-ratings历史财务评级

Agent Skill

historical-financial-ratings 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

2,048

周安装

66

GitHub Stars

37

下载量

523
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:historical-financial-ratings(历史财务评级)
来源仓库:https://github.com/octagonai/skills
仓库路径:skills/historical-financial-ratings
安装命令:
npx skills add https://github.com/octagonai/skills --skill historical-financial-ratings
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 historical-financial-ratings

简介

historical-financial-ratings 用于处理 GitHub 仓库、Issue 和 Pull Request 协作信息,适合代码变更跟踪与项目状态管理。

  • 适用于需要围绕仓库状态或协作事项进行整理的场景,如财务数据分析。
  • 支持从代码提交中提取关键变更点并关联 Issue,便于生成协作报告。
  • 安装前建议确认权限范围和是否会触发命令执行,避免误操作影响生产环境。
  • 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。

SKILL.md

Historical Financial Ratings

Retrieve and analyze historical financial ratings and key metric scores over time for public companies using the Octagon MCP server.

Prerequisites

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

Workflow

1. Identify Analysis Parameters

Determine the following before querying:

  • Ticker: Stock symbol (e.g., NVDA, AAPL, MSFT)
  • Records: Number of historical data points to retrieve (e.g., 100, 500, 2000)

2. Execute Query via Octagon MCP

Use the octagon-agent tool with a natural language prompt:

Retrieve historical financial ratings and key metric scores over time for <TICKER>, limited to <N> records.

MCP Call Format:

{
  "server": "octagon-mcp",
  "toolName": "octagon-agent",
  "arguments": {
    "prompt": "Retrieve historical financial ratings and key metric scores over time for NVDA, limited to 2000 records."
  }
}

3. Expected Output

The agent returns historical ratings data including:

DateOverall ScoreOverall RatingROA ScoreROE ScoreDCF ScoreD/E Score
2024-01-155A+4433
2024-01-085A+4433
2023-12-295A4333
.....................

Data Sources: octagon-financials-agent

4. Interpret Results

See references/interpreting-results.md for guidance on:

  • Understanding overall scores and ratings
  • Analyzing individual metric scores
  • Identifying rating trends and changes
  • Spotting financial health improvements or deterioration

Example Queries

Standard Historical Analysis:

Retrieve historical financial ratings and key metric scores over time for NVDA, limited to 2000 records.

Recent Ratings Focus:

Retrieve historical financial ratings and key metric scores over time for AAPL, limited to 100 records.

Extended Historical View:

Retrieve historical financial ratings and key metric scores over time for MSFT, limited to 5000 records.

Key Metrics Explained

MetricDefinitionScore Range
Overall ScoreComposite financial health rating1-5 (5 = best)
Overall RatingLetter grade for financial healthA+ to F
ROA ScoreReturn on Assets efficiency1-5 (5 = best)
ROE ScoreReturn on Equity efficiency1-5 (5 = best)
DCF ScoreDiscounted Cash Flow valuation score1-5 (5 = best)
D/E ScoreDebt-to-Equity health1-5 (5 = lowest debt)

Analysis Tips

  1. Consistent high scores: Companies maintaining 5-star overall scores and A+ ratings over extended periods demonstrate stable financial excellence.
  2. Score improvements: Watch for upward trends in individual metrics (ROA, ROE) as indicators of improving operational efficiency.
  3. Debt management: A stable or improving D/E score suggests the company is managing leverage responsibly.
  4. Rating downgrades: Sudden drops in overall rating (e.g., A+ to B) warrant deeper investigation into financials.
  5. Diverging metrics: If ROE is high but ROA is low, the company may be using significant leverage to boost returns.

Use Cases

  • Investment screening: Filter for companies with consistently high ratings
  • Risk monitoring: Track rating changes for portfolio holdings
  • Due diligence: Review historical financial health before investment decisions
  • Peer comparison: Compare rating trajectories across competitors

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

36.65%
按下载量换算192

Claude

30.82%
按下载量换算161

Cursor

18.87%
按下载量换算99

Gemini CLI

8.57%
按下载量换算45

安全审计

Gen Agent Trust Hub

可疑

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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