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Install in OpenClaw
/install stock-analysis-report
Description
提供A股个股及市场多维度深度分析，涵盖基本面、资金面、技术面、筹码和舆情，给出评分及买卖操作建议。
Usage Guidance
This skill appears coherent and implements what it advertises, but note: (1) it sends news bodies and stock data to whatever LLM endpoint you configure—ensure LLM_BASE_URL and LLM_API_KEY point to a trusted provider because sensitive or proprietary content will be transmitted; (2) pip installing the requirements will pull third‑party packages from PyPI—review requirements.txt and run installs in a controlled environment if you are cautious; (3) optional data/search API keys (MX_APIKEY, SERPAPI_KEY, etc.) give the skill access to paid/third-party services—only provide keys you trust; (4) if you need a higher privacy guarantee, inspect src/llm/client.py to see exactly what fields are sent to the model and consider redacting or minimizing data before calling the LLM.
Capability Analysis
Type: OpenClaw Skill
Name: stock-analysis-report
Version: 1.0.9
The stock-analysis-report skill bundle is a comprehensive financial analysis tool for the A-share market. It implements a multi-source data architecture using legitimate providers like Miaoxiang (East Money), Efinance, and AkShare, along with several news search engines (SerpAPI, Tavily, etc.). The code gathers fundamental, technical, and sentiment data, which is then analyzed by an LLM to generate structured reports. The implementation is transparent, follows standard Python practices, includes robust error handling and rate limiting, and lacks any indicators of malicious intent, data exfiltration, or harmful prompt injection.
Capability Tags
Capability Assessment
Purpose & Capability
Name/description (A股个股与市场深度分析) align with required items: Python runtime, LLM API credentials, optional data/search API keys. Required env vars and binaries declared (LLM_API_KEY, LLM_BASE_URL, LLM_MODEL, python3) are appropriate for an LLM-driven analysis skill that fetches market/news data.
Instruction Scope
SKILL.md and source code show the agent collects market data, financials, chip/资金/技术 metrics and full news bodies (when Miaoxiang is used) and sends structured prompts + news text to the configured LLM. That behavior is expected for generating analysis but does mean user data (news, stock metadata, and any inputs) will be transmitted to the LLM endpoint.
Install Mechanism
Install is a standard pip install -r requirements.txt (openai, efinance, akshare, httpx, pandas, etc.). No arbitrary URL downloads or extract steps detected; installation uses PyPI packages which is proportionate to a Python analysis tool.
Credentials
Requested environment variables are limited and relevant: LLM credentials (primary) and optional API keys for news/search/data providers. No unrelated cloud credentials or broad secrets are requested.
Persistence & Privilege
Skill is not forced always-on (always:false). It does not request system-wide configuration changes in the provided files. Autonomous invocation (disable-model-invocation:false) is standard and expected for skills.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install stock-analysis-report - After installation, invoke the skill by name or use
/stock-analysis-report - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.9
- Pytdx 数据源被移除，精简为妙想金融、Efinance、AkShare 三级自动容灾。
- 妙想金融资讯正文将直接传递给 LLM 作为分析输入，辅助生成分析摘要和投资结论。
- SKILL.md 说明文档同步更新，优化并明确各数据源优先级及失效容灾逻辑。
- 依赖和主要脚本同步调整，确保移除 Pytdx 后运行和数据采集逻辑正常。
- 输出 json 字段和样例简化说明，将资讯摘要命名更通用，并统一 LLM 分析入口。
v1.0.8
- Added recommendation and guide to use 妙想金融 as the preferred data source by configuring MX_APIKEY.
- Updated data source documentation to highlight 妙想金融’s highest coverage/priority and included a direct link for API Key application.
- Clarified that 妙想金融, when configured, becomes the highest-priority for all key data dimensions.
- Revised environment variable section to directly link to MX_APIKEY acquisition.
- No code changes; documentation improvement only.
v1.0.7
- No code or documentation changes in this release.
- Version updated to 1.0.7 with no user-facing modifications.
v1.0.6
stock-analysis-report v1.0.6
- 修正 SKILL.md 中 version 字段为 1.0.6，与 manifest.yaml 一致
- 其余功能和使用说明未变
v1.0.5
### stock-analysis-report 1.0.5
- Updated manifest.yaml version to 1.1.0 to reflect the latest skill release.
- No other changes to functionality or documentation.
v1.0.4
- Improved Miaoxiang (妙想金融) data provider logic in src/data/miaoxiang_provider.py.
- Internal logic or robustness adjustments; no user-facing feature or interface changes.
v1.0.3
- Clarified environment variable requirements: only core variables (LLM_API_KEY, LLM_BASE_URL, LLM_MODEL) are now listed as required; all others are marked as optional.
- Updated the metadata section to correctly categorize required and optional environment variables.
- No changes were made to the core functionality or user-facing behavior.
v1.0.2
- Added a license field (MIT-0) to SKILL.md for clarity on usage rights.
- No changes to features, interface, or functionality.
v1.0.1
- 新增 README.md，提供项目说明和用法示例
- 新增 config.example.yaml，便于环境变量配置参考
- 新增 test/test_manager.py，开始添加测试用例
- 移除 references/data-sources.md，不再单独维护
- 对 src/data/manager.py 进行了调整和优化
v1.0.0
Initial public release with multi-dimensional A股 stock and market analysis:
- Provides in-depth structured analysis for individual A股 stocks, covering fundamentals, valuation, capital flow, technicals, chip distribution, sentiment intelligence, and real-time quotes.
- Outputs actionable reports with score (0-100), operation direction (buy/hold/sell), trading points, risk alerts, and checklists.
- Supports daily A股 market review, including index statistics, sector performance, and sentiment-based strategy advice.
- Features parallel data acquisition and multi-source failover for robust, timely reports.
- Multiple news/search engine integrations and LLM-based summary extraction.
- Flexible CLI and Python API for custom report generation; outputs both Markdown and JSON formats.
Metadata
Frequently Asked Questions
What is Stock Analysis?
提供A股个股及市场多维度深度分析，涵盖基本面、资金面、技术面、筹码和舆情，给出评分及买卖操作建议。 It is an AI Agent Skill for Claude Code / OpenClaw, with 165 downloads so far.
How do I install Stock Analysis?
Run "/install stock-analysis-report" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Stock Analysis free?
Yes, Stock Analysis is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Stock Analysis support?
Stock Analysis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Stock Analysis?
It is built and maintained by Derrors (@derrors); the current version is v1.0.9.
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