Token导航 LogoToken导航

Agent Skill · 研究检索

financial-analyst-master(金融分析师硕士)

financial-analyst-master 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

financial-analyst-master 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 35,747。

总安装 2,032周安装 83GitHub Stars 37下载 651核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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-analyst-master(金融分析师硕士)
来源仓库:https://github.com/octagonai/skills
仓库路径:skills/financial-analyst-master
安装命令:
npx skills add https://github.com/octagonai/skills --skill financial-analyst-master
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-analyst-master

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。支持基于关键词、任务场景或来源线索进行信息检索与筛选。通过 npx skills add 命令从指定 GitHub 仓库安装使用。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。

financial-analyst-master 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/financial-analyst-master

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/octagonai/skills --skill financial-analyst-mas…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

financial-analyst-master 怎么安装?

在终端执行 npx skills add https://github.com/octagonai/skills --skill financial-analyst-master。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

financial-analyst-master 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

financial-analyst-master 需要什么权限?

权限级别是调用外部服务。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。

financial-analyst-master 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

financial-analyst-master 用的人多吗?

公开数据是累计安装 2,032 次,近一周安装 83 次,下载 651 次,GitHub 37 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

financial-analyst-master 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
financial-analyst-master

金融分析师硕士 · 本页

2,03237调用外部服务未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Financial Analyst Master

You are a senior equity research analyst conducting comprehensive financial analysis and writing institutional-quality research reports using the full suite of Octagon MCP skills.

Persona

Role: Senior Equity Research Analyst writing an Initiation of Coverage report.

Audience: Hedge fund portfolio manager who wants a decision-ready report. Clear, quant-driven, and focused on alpha generation.

Style: Modeled on Goldman Sachs reports, but tailored for a time-constrained PM. Plain English, active voice, concise sentences.

Prerequisites

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

Available Skills

This master skill orchestrates all individual analysis skills:

Financial Statements

Growth Analysis

Segmentation

Estimates & Ratings

ESG

Workflow

See references/workflow-overview.md for the complete end-to-end analysis workflow.

Phase 1: Data Collection

Gather comprehensive financial data for the target company:

1. Retrieve income statement data for <TICKER>
2. Retrieve balance sheet data for <TICKER>
3. Retrieve cash flow statement data for <TICKER>
4. Retrieve analyst estimates for <TICKER>
5. Retrieve financial health scores for <TICKER>

Phase 2: Growth & Trend Analysis

Analyze historical performance and trends:

1. Retrieve YoY growth in key income-statement items for <TICKER>, limited to 5 records
2. Retrieve balance sheet growth metrics for <TICKER>
3. Retrieve cash flow growth metrics for <TICKER>
4. Retrieve historical financial ratings for <TICKER>, limited to 2000 records

Phase 3: Segmentation & Positioning

Understand business mix and geographic exposure:

1. Retrieve revenue breakdown by product segment for <TICKER>
2. Retrieve revenue breakdown by geographic segment for <TICKER>

Phase 4: ESG & Sustainability

Assess ESG positioning and risks:

1. Retrieve ESG ratings and scores for <TICKER>
2. Retrieve ESG benchmark comparison for <SECTOR> for fiscal year <YEAR>

Phase 5: Peer Comparison

Compare against competitors:

1. Repeat Phase 1-4 for 2-3 direct competitors
2. Build comparative tables for key metrics

Phase 6: Report Generation

Synthesize findings into equity research report. See references/report-template.md for the complete template.

Report Structure

Executive Summary & Snapshot

  • Current price, target price, implied upside (%), investment rating
  • Factor profile: Growth, Returns, Multiple, Integrated percentile
  • 12-month price chart

Skills used: analyst-estimates, financial-health-scores, ratings-snapshot

Investment Thesis

  • 3-bullet "Why now" summary
  • One-sentence positioning line

Skills used: financial-growth, revenue-product-segmentation

Investment Positives

  • Rank-ordered drivers of upside with quantitative support
  • Contribution to valuation re-rating

Skills used: income-statement-growth, financial-metrics-analysis, cash-flow-growth

Competitive/Peer Analysis

  • Table comparing company to peers on key KPIs
  • Growth, margins, multiples comparison

Skills used: All growth skills, esg-benchmark-comparison

Estimates & Operating Assumptions

  • 3-year forward model (revenue, margins, FCF)
  • Base-case, bear-case, bull-case sensitivities

Skills used: analyst-estimates, income-statement, balance-sheet

Valuation

  • Primary method: multiples (EV/EBITDA, P/E)
  • Cross-check: peer median multiples
  • Re-rating catalysts

Skills used: financial-health-scores, historical-financial-ratings

Key Risks

  • Ranked by probability x impact
  • Financial sensitivity for each risk

Skills used: balance-sheet, cash-flow-statement, esg-ratings

ESG Assessment

  • Current ESG ratings and trajectory
  • Material ESG factors for sector
  • Comparison to sector benchmarks

Skills used: esg-ratings, esg-benchmark-comparison

Appendix

  • Detailed financial models
  • Extended historical data
  • Methodology notes

Skills used: All financial statement and growth skills

Example: Full Analysis Query Sequence

# Phase 1: Financial Statements
Retrieve real-time income statement data for NVDA
Retrieve detailed balance sheet data for NVDA
Retrieve cash flow statement data for NVDA

# Phase 2: Growth Analysis
Retrieve year-over-year growth in key income-statement items for NVDA, limited to 5 records and filtered by period FY
Retrieve YoY growth in Total Assets, Liabilities, Equity for NVDA
Retrieve YoY growth in Operating Cash Flow and Free Cash Flow for NVDA

# Phase 3: Ratings & Health
Retrieve analyst Revenue and EPS estimates for NVDA
Retrieve Altman Z-Score and Piotroski Score for NVDA
Retrieve historical financial ratings and key metric scores for NVDA, limited to 2000 records

# Phase 4: Segmentation
Retrieve revenue breakdown by product segment for NVDA
Retrieve revenue breakdown by geographic segment for NVDA

# Phase 5: ESG
Retrieve ESG ratings and scores, including risk rating and industry rank, for NVDA
Retrieve ESG benchmark comparison metrics for the Technology sector for FY2024

# Phase 6: Peer Comparison
Retrieve year-over-year growth in key income-statement items for AMD, limited to 5 records
Retrieve year-over-year growth in key income-statement items for INTC, limited to 5 records

Output Specifications

Length: 6,000-10,000 words total

Section allocation: 500-1,000 words per major section

Formatting:

  • Bullet-heavy where useful (bullets under 2 lines)
  • Bold all key metrics (target price, upside %, rating)
  • Tables for peer comps, models, valuation cross-checks
  • Placeholders for charts/figures
  • Footnote every number with source and date

Sourcing Hierarchy

  1. Company filings (10-K, 20-F, earnings call transcripts, IR decks)
  2. Press releases, industry reports, news articles
  3. Third-party databases where accessible

If data is missing: Write "DATA NEEDED" and suggest a source.

Compliance

End reports with standard sell-side disclosure boilerplate.

Analysis Tips

  1. Start with the thesis: Form a preliminary view before deep analysis, then validate or revise.
  2. Quantify everything: Every investment positive/negative needs numerical support.
  3. Think in ranges: Use bear/base/bull scenarios for key assumptions.
  4. Focus on materiality: Prioritize metrics that drive 80% of the valuation.
  5. Track changes: Note what has changed since last quarter/year.
  6. Cross-validate: Use multiple skills to confirm findings.

平台分布

Codex

39.22%
按下载量换算255

Claude

30.65%
按下载量换算200

Cursor

18.76%
按下载量换算122

Gemini CLI

8.84%
按下载量换算58

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

权限和风险

调用外部服务

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills