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financereportfinancereport 分析

Agent Skill

financereport 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。

总安装

14,412

周安装

583

GitHub Stars

302

下载量

4,524
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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

3

许可证

MIT

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:financereport(financereport 分析)
来源仓库:https://github.com/aojdevstudio/finance-guru
仓库路径:skills/financereport
安装命令:
npx skills add https://github.com/aojdevstudio/finance-guru --skill FinanceReport
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/aojdevstudio/finance-guru --skill FinanceReport

简介

生成具有嵌入式图表和投资组合规模的股票和 ETF 的机构质量 PDF 投资报告。

  • 生成 8-10 页的报告,其中包含 VGT 风格的品牌、执行摘要、定量分析表和策略建议
  • 集成用于市场情绪和催化剂研究的 Perplexity MCP,以及用于风险指标、动量指标和波动性评估的内置量化工具
  • 支持三种工作流程:单一股票报告、跨观察列表的批量重新生成以及市场和战略阶段的全面深入研究分析
  • 根据存储的个人资料数据中的用户投资组合价值,以百分比和美元金额计算头寸规模

SKILL.md

FinanceReport

Generate comprehensive 8-10 page PDF investment analysis reports with Finance Guru branding.

Workflow Routing

When executing a workflow, output this notification directly:

Running the **WorkflowName** workflow from the **FinanceReport** skill...
WorkflowTriggerFile
GenerateSingleReport"generate report for TSLA", "create PDF"workflows/GenerateSingleReport.md
RegenerateBatch"regenerate batch", "redo all reports"workflows/RegenerateBatch.md
FullResearchWorkflow"full analysis", "thorough research"workflows/FullResearchWorkflow.md

Examples

Example 1: Generate single ticker report

User: "Generate a report for NVDA"
-> Invokes GenerateSingleReport workflow
-> Runs quant tools (risk_metrics, momentum, volatility)
-> Fetches sentiment via Perplexity MCP
-> Builds 8-10 page PDF with VGT-style header
-> Saves to fin-guru-private/fin-guru/analysis/reports/NVDA-analysis-2025-12-18.pdf

Example 2: Regenerate all watchlist reports

User: "Regenerate batch 1 reports"
-> Invokes RegenerateBatch workflow
-> Launches 8 subagents in parallel
-> Each runs FullResearchWorkflow
-> Replaces existing PDFs with improved versions

Example 3: Deep research with full workflow

User: "Do a full analysis on AMZN for the 2026 watchlist"
-> Invokes FullResearchWorkflow
-> Phase 1: Market research (Perplexity/Exa for catalysts, risks)
-> Phase 2: Quant analysis (252-day risk metrics, 90-day momentum)
-> Phase 3: Strategy recommendation (buy/hold/sell, position sizing)
-> Phase 4: Generate comprehensive PDF report

Report Structure (8-10 Pages)

Cover Page (VGT-Style Header) - UNIFORM STANDARD

CRITICAL: Every report MUST follow this EXACT format:

┌─────────────────────────────────────────────────────────────┐
│                    FINANCE GURU™                            │
│             Family Office Investment Analysis               │
│  ─────────────────────────────────────────────────────────  │
│                                                             │
│              TICKER - Full Company/Fund Name                │
│           2026 Watchlist Analysis & Investment Report       │
│                                                             │
├─────────────────────────────────────────────────────────────┤
│  Report Date:      December 18, 2025                        │
│  Analyst Team:     Finance Guru Multi-Agent System          │
│                    • Market Researcher (Dr. Aleksandr Petrov)│
│                    • Quant Analyst                          │
│                    • Strategy Advisor                       │
│  Current Price:    $XXX.XX                                  │
│  YTD Performance:  +XX.XX%                                  │
│  Expense Ratio:    0.XX% (ETFs only)                        │
└─────────────────────────────────────────────────────────────┘

UNIFORMITY RULES:

  • Analyst team names MUST be listed on EVERY report
  • "Finance Guru Multi-Agent System" header REQUIRED
  • Individual analyst names with personas (e.g., Dr. Aleksandr Petrov)
  • Same format, same structure, every single time

Executive Summary

  • Investment thesis (200+ words)
  • Key findings with bold labels
  • Final verdict box (rating, conviction, risk level)

Quantitative Analysis

  • Risk metrics table (VaR, Sharpe, Beta, Alpha)
  • Momentum indicators (RSI, MACD, Stochastic)
  • Volatility assessment (ATR, Bollinger regime)
  • Embedded charts where applicable

TABLE FORMATTING - CRITICAL:

  • All table cells use Paragraph objects (text wraps, never overflows)
  • Column widths explicitly set to fit within 7.5" content area
  • Header row: Navy background, white text, bold
  • Data rows: Alternating white/light gray backgrounds

Market Research

  • Company overview and positioning
  • 2026 catalysts and risks
  • Analyst ratings and sentiment
  • Perplexity MCP integration

Portfolio Sizing (NEW)

Shows BOTH percentage AND dollar amount:

Recommended Allocation: 2-3%
For $250,000 portfolio:
  - Dollar amount: $5,000 - $7,500
  - Share count: ~25-38 shares at $200

Strategy Recommendations

  • Entry strategy with price targets
  • Risk management (stop-loss levels)
  • Position management approach

Sources & Disclaimer - UNIFORM STANDARD

CRITICAL: Every report MUST end with this EXACT format:

─────────────────────────────────────────────────────────────
DISCLAIMER: This analysis is provided for educational and
informational purposes only. [full disclaimer text]

                Powered by Finance Guru™
              Report Date: December 18, 2025
─────────────────────────────────────────────────────────────

"Powered by Finance Guru™" is REQUIRED on every report.

Tool Usage

ChartKit.py

uv run python .claude/skills/FinanceReport/tools/ChartKit.py \
  --ticker TSLA \
  --chart-type line \
  --data-source cli

ReportGenerator.py

uv run python .claude/skills/FinanceReport/tools/ReportGenerator.py \
  --ticker TSLA \
  --portfolio-value 250000 \
  --output-dir fin-guru-private/fin-guru/analysis/reports/

Integration Points

Perplexity MCP (Sentiment & Research)

# Search for market sentiment
mcp__perplexity__search(query=f"{ticker} stock analysis 2025 catalysts risks")

# Deep reasoning for thesis
mcp__perplexity__reason(query=f"Analyze {ticker} investment thesis for 2026")

Existing Finance Guru CLI Tools

  • src/analysis/risk_metrics_cli.py - VaR, CVaR, Sharpe, Sortino, Beta, Alpha
  • src/utils/momentum_cli.py - RSI, MACD, Stochastic, Williams %R
  • src/utils/volatility_cli.py - ATR, Bollinger Bands, Keltner Channels
  • src/analysis/correlation_cli.py - Portfolio correlation matrix

User Profile

Reads portfolio value from fin-guru/data/user-profile.yaml for sizing:

  • investment_portfolio.total_value = Current portfolio value
  • Calculates exact dollar amounts for recommendations

Reference Files

  • StyleGuide.md - Brand colors, typography, table styling
  • VisGuide.md - Chart selection dictionary, labeling standards

Skill Type: Domain Enforcement: Suggest Priority: High Line Count: < 200 lines

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

能力 5

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

Claude Code

26.46%
按下载量换算1,197

OpenCode

24.71%
按下载量换算1,118

Gemini CLI

16.45%
按下载量换算744

Antigravity

12.38%
按下载量换算560

Codex

8.36%
按下载量换算378

trae

3.65%
按下载量换算165

安全审计

Gen Agent Trust Hub

未通过

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。

来源信息

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