Token导航 LogoToken导航TokenDH.com
前端设计需要联网github未标认证来源可访问许可证需确认审计通过

report-stock报告库存

Agent Skill

report-stock 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

1,098

周安装

44

GitHub Stars

131

下载量

356
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:report-stock(报告库存)
来源仓库:https://github.com/staskh/trading_skills
仓库路径:skills/report-stock
安装命令:
npx skills add https://github.com/staskh/trading_skills --skill report-stock
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/staskh/trading_skills --skill report-stock

简介

report-stock 用于处理 GitHub 仓库、Issue、Pull Request 等协作信息。

  • 它适合围绕代码变更和项目状态进行整理。
  • 可辅助检查仓库状态或生成协作事项摘要。
  • 安装命令为 npx skills add https://github.com/staskh/trading_skills --skill report-stock。
  • 注意权限范围及是否访问私有仓库。

SKILL.md

Stock Analysis Report Generator

Generates professional reports with comprehensive stock analysis including trend analysis, PMCC viability, and fundamental metrics. Supports both PDF and markdown output formats.

Instructions

Step 1: Gather Data

Run the report script for each symbol:

uv run python scripts/report.py SYMBOL

The script returns detailed JSON with:

  • recommendation - Overall recommendation with strengths/risks
  • company - Company info (name, sector, industry, market cap)
  • trend_analysis - Bullish scanner results (score, RSI, MACD, ADX, SMAs)
  • pmcc_analysis - PMCC viability (score, LEAPS/short details, metrics)
  • fundamentals - Valuation, profitability, dividend, balance sheet, earnings history
  • piotroski - F-Score breakdown with all 9 criteria
  • spread_strategies - Option spread analysis (vertical spreads, straddle, strangle, iron condor)

Step 2: Generate Report

Choose output format based on user preference:

For PDF: Use the pdf skill to create a professionally formatted PDF report from the JSON data. Read templates/pdf-template.md for detailed formatting guidelines including color scheme, typography, table layouts, and section structure.

For Markdown: Read templates/markdown-template.md for formatting instructions. Generate a markdown report and save to sandbox/.

Filename format:

  • PDF: {SYMBOL}_Analysis_Report_{YYYY-MM-DD}_{HHmm}.pdf
  • Markdown: {SYMBOL}_Analysis_Report_{YYYY-MM-DD}_{HHmm}.md

Output location: Save to sandbox/ directory

Step 3: Report Results

After generating the report, tell the user:

  1. The recommendation (BUY/HOLD/AVOID)
  2. Key strengths and risks
  3. The report file path

Example

# Single symbol
uv run python scripts/report.py AAPL

# Multiple symbols - run separately
uv run python scripts/report.py AAPL
uv run python scripts/report.py MSFT

Report Contents

Pages 1-2: Executive Summary & Trend Analysis

  • Color-coded recommendation box (green/yellow/red)
  • Company overview table
  • Bullish scanner metrics with signal interpretations
  • Trend signals list

Pages 2-3: Fundamental Analysis & Piotroski

  • Valuation metrics (P/E, P/B, EPS)
  • Profitability (margins, ROE, ROA, growth)
  • Dividend & balance sheet (yield, payout ratio, debt)
  • Earnings history (up to 8 quarters)
  • Piotroski F-Score breakdown (all 9 criteria)

Pages 3-4: PMCC Viability Analysis

  • PMCC score and assessment
  • LEAPS option details (strike, delta, spread, liquidity)
  • Short call details (strike, delta, spread, liquidity)
  • Trade metrics (net debit, yield estimates, capital required)

Pages 4-5: Option Spread Strategies

  • Bull call spread with breakeven and risk/reward
  • Bear put spread with breakeven and risk/reward
  • Long straddle analysis with move needed %
  • Long strangle analysis with breakeven prices
  • Iron condor with profit range and max risk

Final Page: Investment Summary

  • Strengths box
  • Risk factors box
  • Disclaimer footer

Dependencies

This skill aggregates data from:

  • scanner-bullish for trend analysis
  • scanner-pmcc for PMCC viability
  • fundamentals for financial data and Piotroski score

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

36.75%
按下载量换算131

Claude

29.89%
按下载量换算106

Cursor

19.3%
按下载量换算69

Gemini CLI

9.53%
按下载量换算34

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。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