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financial-ai-analyst

Earnings Review Agent

by Financial AI Analyst · GitHub ↗ · v1.0.3 · MIT-0
cross-platform ✓ Security Clean
8866
Downloads
6
Stars
18
Active Installs
4
Versions
Install in OpenClaw
/install stock-earnings-review
Description
依托东方财富数据库,面向沪深京港美五大市场的上市公司/股票,生成业绩点评类输出(含财报分析、业绩解读)。 当用户明确提出业绩点评、财报分析、业绩解读需求,或出现「业绩点评」「财报点评」「业绩分析」「季报/半年报/年报点评」「财务分析」「盈利分析」「业绩解读」等表述时,应触发本 Skill。 用户点名具体公司/股票...
Usage Guidance
Install only if you trust the Eastmoney/Miaoxiang API integration and have an appropriate EM_API_KEY. Keep debug mode off unless troubleshooting, avoid including unrelated confidential information in prompts, and review or clean the configured output directory because generated report attachments can remain on disk.
Capability Assessment
Purpose & Capability
The artifacts coherently implement entity recognition, report-period selection, Eastmoney earnings-review API calls, and local delivery of PDF/Word outputs for listed-company earnings analysis.
Instruction Scope
Activation language is fairly broad for financial-report and earnings analysis, but it is still tied to named companies or securities and does not show unrelated automatic execution.
Install Mechanism
Installation only declares the Python httpx dependency and the EM_API_KEY environment variable; the dependency is unpinned but ordinary for the disclosed HTTP workflow.
Credentials
The skill sends user query/entity information and the EM_API_KEY to Eastmoney endpoints, which is sensitive but expected for this integration and disclosed in the skill text.
Persistence & Privilege
The scripts create run-specific local output directories and save generated attachments, with JSON logs limited to debug mode; no background persistence, privilege escalation, or destructive behavior was found.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install stock-earnings-review
  3. After installation, invoke the skill by name or use /stock-earnings-review
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.3
Publish 1.0.3
v1.0.2
- update verify parameter
v1.0.1
- 调整了 openclaw metadata,增加 requires 字段并优化依赖说明。 - 精简描述,突出关键触发条件和应用市场。 - 其余核心业务逻辑、调用流程、输出规范与前置校验规则均保持一致。 - 没有新增代码或接口变更,仅文档结构化与表述优化。
v1.0.0
Initial release of stock-earnings-review skill. - Generates earnings reviews for listed companies upon user request for financial or earnings analysis. - Supports company/stock analysis across China A-share, Beijing, Hong Kong, and US markets. - Provides stepwise scripts for entity recognition, report period matching, and review generation, with PDF/Word attachments saved locally. - Debug mode outputs detailed JSON logs for each processing stage. - Enforces strict error handling and security protocols; does not fabricate results if pre-checks fail. - Includes robust documentation and usage examples for integration.
Metadata
Slug stock-earnings-review
Version 1.0.3
License MIT-0
All-time Installs 306
Active Installs 18
Total Versions 4
Frequently Asked Questions

What is Earnings Review Agent?

依托东方财富数据库,面向沪深京港美五大市场的上市公司/股票,生成业绩点评类输出(含财报分析、业绩解读)。 当用户明确提出业绩点评、财报分析、业绩解读需求,或出现「业绩点评」「财报点评」「业绩分析」「季报/半年报/年报点评」「财务分析」「盈利分析」「业绩解读」等表述时,应触发本 Skill。 用户点名具体公司/股票... It is an AI Agent Skill for Claude Code / OpenClaw, with 8866 downloads so far.

How do I install Earnings Review Agent?

Run "/install stock-earnings-review" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Earnings Review Agent free?

Yes, Earnings Review Agent is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Earnings Review Agent support?

Earnings Review Agent is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Earnings Review Agent?

It is built and maintained by Financial AI Analyst (@financial-ai-analyst); the current version is v1.0.3.

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