Token导航 LogoToken导航TokenDH.com
待分类external-servicegithub未标认证来源可访问许可证需确认审计提醒

financial-health-scores财务健康评分

Agent Skill

financial-health-scores 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

1,706

周安装

69

GitHub Stars

37

下载量

535
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:financial-health-scores(财务健康评分)
来源仓库:https://github.com/octagonai/skills
仓库路径:skills/financial-health-scores
安装命令:
npx skills add https://github.com/octagonai/skills --skill financial-health-scores
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 financial-health-scores

简介

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合围绕仓库状态进行整理。

  • 支持代码变更追踪与协作事项管理,便于项目进度把控。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装。
  • 安装前需确认权限范围、维护状态及是否触发网络或文件操作。
  • financial-health-scores 属于待分类类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Financial Health Scores

Retrieve financial health scores including Altman Z-Score and Piotroski Score 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 financial health scores for <TICKER>, including the Altman Z-Score and Piotroski Score.

MCP Call:

{
  "server": "octagon-mcp",
  "toolName": "octagon-agent",
  "arguments": {
    "prompt": "Retrieve financial health scores for TSLA, including the Altman Z-Score and Piotroski Score"
  }
}

Output Format

The agent returns health scores with supporting metrics:

Altman Z-Score: 16.84 (calculated using working capital, total assets, retained earnings, EBIT, and market cap). A score above 3.0 indicates low bankruptcy risk.

Piotroski Score: 6 (out of a maximum 9). This score assesses profitability, leverage, liquidity, and operating efficiency.

Supporting Financial Metrics:

MetricValue (USD)
Working Capital36,928,000,000
Total Assets137,806,000,000
Retained Earnings39,003,000,000
EBIT5,616,000,000
Market Cap1,400,635,834,800
Total Liabilities54,941,000,000
Revenue94,827,000,000

Data Source: octagon-financials-agent

Altman Z-Score Interpretation

The Altman Z-Score predicts bankruptcy probability:

Z-Score RangeInterpretation
> 3.0Safe Zone - Low bankruptcy risk
1.8 - 3.0Grey Zone - Moderate risk, needs monitoring
< 1.8Distress Zone - High bankruptcy risk

Z-Score Formula

Z = 1.2(WC/TA) + 1.4(RE/TA) + 3.3(EBIT/TA) + 0.6(MC/TL) + 1.0(Rev/TA)

Where:

  • WC = Working Capital
  • TA = Total Assets
  • RE = Retained Earnings
  • EBIT = Earnings Before Interest and Taxes
  • MC = Market Cap
  • TL = Total Liabilities
  • Rev = Revenue

Piotroski Score Interpretation

The Piotroski F-Score (0-9) assesses financial strength:

Score RangeInterpretation
8-9Strong - High quality value stock
5-7Moderate - Average financial health
0-4Weak - Poor financial health

Piotroski Components (9 criteria)

Profitability (4 points):

  1. Positive Net Income
  2. Positive Operating Cash Flow
  3. Return on Assets improvement
  4. OCF > Net Income (accruals quality)

Leverage/Liquidity (3 points): 5. Lower long-term debt ratio 6. Higher current ratio 7. No new share issuance

Operating Efficiency (2 points): 8. Higher gross margin 9. Higher asset turnover

Analysis Tips

Combined Assessment

Use both scores together:

  • High Z-Score + High Piotroski = Financially healthy
  • High Z-Score + Low Piotroski = Watch operating trends
  • Low Z-Score + High Piotroski = Leverage concern
  • Low Z-Score + Low Piotroski = Avoid or deep value

Value Investing Application

Piotroski Score designed for:

  • Screening high book-to-market stocks
  • Identifying quality within value
  • Avoiding value traps

Credit Analysis

Z-Score useful for:

  • Bond investment decisions
  • Supplier credit assessment
  • Counterparty risk evaluation

Sector Considerations

Scores work best for:

  • Manufacturing companies (Z-Score original use)
  • Mature businesses with stable operations
  • Less reliable for: financials, early-stage, asset-light

Follow-up Queries

Based on results, suggest deeper analysis:

  • "What factors contributed to [COMPANY]'s Piotroski Score versus industry peers?"
  • "How does [COMPANY]'s Altman Z-Score compare to its historical averages?"
  • "Break down the individual components of [COMPANY]'s Piotroski Score"
  • "Compare [COMPANY]'s financial health scores to [PEER1] and [PEER2]"

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

36.81%
按下载量换算197

Claude

28.47%
按下载量换算152

Cursor

19.5%
按下载量换算104

Gemini CLI

8.97%
按下载量换算48

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

继续浏览同类 Skills