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Stock Financial Analysis
by
13008170831
· GitHub ↗
· v1.0.0
· MIT-0
165
Downloads
0
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0
Active Installs
1
Versions
Install in OpenClaw
/install stock-financial-analysis-quant
Description
专业的股票金融分析技能。当用户需要寻找短线交易机会、分析股票筹码分布、获取买入卖出信号、分析上证指数筹码变化、进行上市公司基本面分析、研究主营业务、行业发展、竞争环境、财务分析、估值分析，或提供上市公司财务报告要求综合分析时使用此技能。
Usage Guidance
This skill appears internally consistent and low-risk because it is instruction-only and asks for no credentials. Two practical cautions before installing: (1) SKILL.md is vague about where it will fetch data — if you care about source provenance, verify which APIs/websites the agent will query or restrict the agent's network access. (2) The skill author/source is unknown and has no homepage; treat results as advisory only and do not rely on it for financial decisions. If you need stronger guarantees, ask the author for source details or request explicit allowed data sources and deny access to private files/credentials.
Capability Analysis
Type: OpenClaw Skill
Name: stock-financial-analysis-quant
Version: 1.0.0
The skill bundle consists of metadata and descriptive instructions for a stock financial analysis tool. It contains no executable code, network requests, or suspicious prompt injection attempts, focusing entirely on providing technical and fundamental analysis for stocks as described in SKILL.md.
Capability Assessment
Purpose & Capability
Name/description (stock financial analysis) match the contents of SKILL.md. The skill requests no binaries, env vars, or config paths, which is proportional for an instruction-only analysis helper.
Instruction Scope
SKILL.md is high-level: it says 'data collection' and 'get relevant stock and financial data' but does not enumerate sources or limit actions. That vagueness grants the agent broad discretion to fetch external data (web APIs, scraping) or use internal context; there are no explicit instructions to read local files or secrets, but the open-ended phrasing is worth noting.
Install Mechanism
No install spec and no code files — instruction-only. This minimizes filesystem and execution risk.
Credentials
Skill declares no required environment variables, credentials, or config paths. No disproportionate credential requests are present.
Persistence & Privilege
always:false and default autonomous invocation are used. The skill does not request persistent or elevated presence; nothing modifies other skills or system settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install stock-financial-analysis-quant - After installation, invoke the skill by name or use
/stock-financial-analysis-quant - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of stock-financial-analysis skill:
- Provides professional stock financial analysis, including both technical (short-term trading) and fundamental (company basics, industry, valuation) analysis.
- Supports scenarios such as short-term trade opportunity detection, buy/sell signal references, and comprehensive company and industry research.
- Outputs structured analyses, including technical indicators, financial data, valuation, and summary reports.
- Designed to be used as an analysis reference and not as direct investment advice.
Metadata
Frequently Asked Questions
What is Stock Financial Analysis?
专业的股票金融分析技能。当用户需要寻找短线交易机会、分析股票筹码分布、获取买入卖出信号、分析上证指数筹码变化、进行上市公司基本面分析、研究主营业务、行业发展、竞争环境、财务分析、估值分析，或提供上市公司财务报告要求综合分析时使用此技能。 It is an AI Agent Skill for Claude Code / OpenClaw, with 165 downloads so far.
How do I install Stock Financial Analysis?
Run "/install stock-financial-analysis-quant" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Stock Financial Analysis free?
Yes, Stock Financial Analysis is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Stock Financial Analysis support?
Stock Financial Analysis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Stock Financial Analysis?
It is built and maintained by 13008170831 (@13008170831); the current version is v1.0.0.
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