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Install in OpenClaw
/install gbabyzs-financial-analysis
Description
Provides financial analysis of listed companies, including valuation ratios, profitability metrics, financial health indicators, and DCF-based valuation models.
README (SKILL.md)
Financial Analysis - 财务分析工具
功能说明
提供上市公司财务分析功能，包括估值指标、财务健康度评估等。
核心功能
估值指标
- PE (市盈率)
- PB (市净率)
- PS (市销率)
- PEG (市盈率相对盈利增长比率)
盈利能力
- ROE (净资产收益率)
- ROA (总资产收益率)
- 毛利率
- 净利率
财务健康度
- 资产负债率
- 流动比率
- 速动比率
- 利息保障倍数
估值模型
- DCF (现金流折现)
- 相对估值法
- DDN (股利折现)
使用示例
from financial_analysis import calculate_pe, calculate_roe, dcf_valuation
# 计算 PE
pe_data = calculate_pe(stock_code="300308")
# 计算 ROE
roe_data = calculate_roe(stock_code="300308")
# DCF 估值
dcf_result = dcf_valuation(stock_code="300308", growth_rate=0.2, discount_rate=0.1)
安装依赖
pip install akshare pandas numpy
数据源
- AkShare 财务数据
- 东方财富 API
注意事项
- 财务数据有季度延迟
- DCF 模型对参数敏感
- 建议结合行业对比
Usage Guidance
This package appears coherent for financial analysis: it fetches market and fundamental data using AkShare/东方财富 and computes metrics/DCF. Before installing, note that (1) AkShare performs network requests to public Chinese market data providers so it requires network access and results depend on those APIs' correctness and licensing, (2) the DCF implementation is a simplified model and relies on specific AkShare column names (may fail for some tickers), and (3) you should vet akshare and any pip packages you install for supply-chain risks if you need high-assurance deployments. If you need offline, audited data or special privacy controls, do not enable network access for untrusted environments.
Capability Analysis
Type: OpenClaw Skill
Name: gbabyzs-financial-analysis
Version: 1.0.0
The skill bundle provides legitimate financial analysis tools for calculating valuation metrics (PE, PB, ROE) and performing DCF modeling using the 'akshare' library. Analysis of 'financial_analysis.py' and 'SKILL.md' reveals no evidence of data exfiltration, malicious execution, or prompt injection; the code strictly performs mathematical calculations on publicly available financial data.
Capability Assessment
Purpose & Capability
Name/description, SKILL.md, and the included Python implementation all focus on stock valuation metrics and DCF; required dependencies (akshare/pandas/numpy) align with that purpose and no unrelated credentials or binaries are requested.
Instruction Scope
Runtime instructions limit actions to installing dependencies and using AkShare/东方财富 APIs to fetch financial data and compute metrics. The SKILL.md does not instruct reading unrelated files, environment variables, or sending data to unexpected external endpoints.
Install Mechanism
There is no automated install spec in the registry (instruction-only). SKILL.md suggests pip installing akshare/pandas/numpy which is expected. No downloads from untrusted URLs or archive extraction are present.
Credentials
The skill requires no environment variables, credentials, or config paths. The code only uses network calls via AkShare to public data sources; requested privileges are minimal and proportionate.
Persistence & Privilege
always is false and the skill does not modify other skills or system-wide agent settings. It does not request persistent presence or elevated privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install gbabyzs-financial-analysis - After installation, invoke the skill by name or use
/gbabyzs-financial-analysis - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: PE/PB/ROE/DCF 估值/财务健康度分析工具
Metadata
Frequently Asked Questions
What is Financial Analysis?
Provides financial analysis of listed companies, including valuation ratios, profitability metrics, financial health indicators, and DCF-based valuation models. It is an AI Agent Skill for Claude Code / OpenClaw, with 522 downloads so far.
How do I install Financial Analysis?
Run "/install gbabyzs-financial-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Financial Analysis free?
Yes, Financial Analysis is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Financial Analysis support?
Financial Analysis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Financial Analysis?
It is built and maintained by GBABYZS (@gbabyzs); the current version is v1.0.0.
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