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US Stock Financial Analyzer

Name: US Stock Financial Analyzer
Author: terrycarter1985

作者 terrycarter1985 · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ 安全检测通过

总下载

当前安装

版本数

在 OpenClaw 中安装

/install us-stock-financial-analyzer

功能描述

Automated financial indicator analysis for S&P 500 and NASDAQ stocks. Use when (1) analyzing stock financial health or valuation, (2) computing financial rat...

使用说明 (SKILL.md)

US Stock Financial Analyzer

Analyze S&P 500 and NASDAQ stock financial data through automated indicator computation, peer benchmarking, and structured reporting.

Workflow

Fetch data — Run scripts/fetch_financials.py to pull financial statements via yfinance.
Compute indicators — Run scripts/compute_indicators.py to calculate key ratios and scores.
Benchmark — Run scripts/benchmark.py to compare against sector/industry peers.
Report — Synthesize results into a structured summary.

For full indicator definitions and formulas, see references/indicators.md.

Quick Start

Single-stock analysis

python3 scripts/fetch_financials.py AAPL
python3 scripts/compute_indicators.py AAPL

Peer benchmarking

python3 scripts/benchmark.py AAPL --index sp500
python3 scripts/benchmark.py MSFT --index nasdaq

Batch screening

python3 scripts/fetch_financials.py AAPL MSFT GOOGL --batch
python3 scripts/compute_indicators.py --screen "pe\x3C25;roe>15;de\x3C1.5" --index sp500

Output Format

All scripts output JSON to stdout. Pipe to jq or redirect to file:

python3 scripts/compute_indicators.py AAPL | jq '.valuation'

Key Indicators

Category	Indicators
Valuation	PE, PB, PS, PEG, EV/EBITDA
Profitability	ROE, ROA, Gross Margin, Net Margin
Leverage	D/E, Interest Coverage, Equity Ratio
Growth	Revenue CAGR, EPS Growth, FCF Growth
Liquidity	Current Ratio, Quick Ratio

Full formulas in references/indicators.md.

Dependencies

Requires: yfinance, pandas, numpy. Install via:

pip install yfinance pandas numpy

安全使用建议

This skill appears safe to install for financial-ratio analysis if you are comfortable running local Python scripts and fetching public market data from yfinance. Use a virtual environment, consider pinning dependencies, and only configure the separate Feishu credential/channel instructions if you specifically need that integration.

功能分析

Type: OpenClaw Skill Name: us-stock-financial-analyzer Version: 1.0.0 The skill bundle provides a legitimate set of tools for financial analysis using the yfinance library. The Python scripts (fetch_financials.py, compute_indicators.py, and benchmark.py) perform standard data retrieval and ratio calculations. The screening logic in compute_indicators.py is implemented safely using string parsing rather than dangerous functions like eval(). No evidence of data exfiltration, unauthorized network calls, or malicious prompt injection was found.

能力标签

crypto

能力评估

✓ Purpose & Capability

The stated purpose is financial indicator analysis, and the included scripts fetch market data, compute ratios, and benchmark peers without unrelated mutation or destructive behavior.

ℹ Instruction Scope

The workflow uses user-run Python scripts that call yfinance; this is purpose-aligned, but users should understand ticker queries are sent to an external finance-data provider.

ℹ Install Mechanism

There is no install spec, while SKILL.md instructs users to install unpinned PyPI packages manually.

ℹ Credentials

Network access to yfinance is proportionate for fetching public stock financial data; the executable code does not read local private files or require credentials.

ℹ Persistence & Privilege

The runtime code shows no persistence or privilege escalation. An ancillary Feishu permissions reference mentions appId/appSecret setup only if activating a separate Feishu channel.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install us-stock-financial-analyzer
安装完成后，直接呼叫该 Skill 的名称或使用 /us-stock-financial-analyzer 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

Initial release: S&P 500 & NASDAQ financial indicator analysis with peer benchmarking

元数据

Slug us-stock-financial-analyzer

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题