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Financial Analysis

Name: Financial Analysis
Author: gbabyzs

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

cross-platform ✓ 安全检测通过

522

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当前安装

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在 OpenClaw 中安装

/install gbabyzs-financial-analysis

功能描述

Provides financial analysis of listed companies, including valuation ratios, profitability metrics, financial health indicators, and DCF-based valuation models.

使用说明 (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

安全使用建议

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.

功能分析

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.

能力评估

✓ 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.

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 gbabyzs-financial-analysis
安装完成后，直接呼叫该 Skill 的名称或使用 /gbabyzs-financial-analysis 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: PE/PB/ROE/DCF 估值/财务健康度分析工具

元数据

Slug gbabyzs-financial-analysis

版本 1.0.0

许可证 MIT-0

累计安装 2

当前安装数 2

历史版本数 1

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