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Earnings Review Agent
by
Financial AI Analyst
· GitHub ↗
· v1.0.3
· MIT-0
9890
Downloads
6
Stars
0
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 API service and are comfortable providing EM_API_KEY. Expect the skill to send your query and stock/report identifiers to that service, save returned PDF/Word or spreadsheet attachments under a local miaoxiang/stock-earnings-review run directory, and possibly leave debug logs if debug mode is enabled. Treat generated links and saved attachments as external content.
Capability Assessment
Credentials
Use of EM_API_KEY, authenticated network calls, and sending the user's stock-analysis query to Eastmoney are expected for this integration and are disclosed in the skill documentation.
Install Mechanism
The only declared dependency is the legitimate Python package httpx, but it is unpinned and the documented install command uses the user's Python environment.
Instruction Scope
The trigger language is somewhat broad for earnings and financial-analysis requests, and the final response uses remote API content and share links; the instructions are still domain-scoped and do not attempt to override agent safety or session goals.
Persistence & Privilege
The skill creates per-run local output directories and saves API-returned attachments by default, with JSON logs only in debug mode; this is disclosed, but attachment size/type validation and retention controls are limited.
Purpose & Capability
The stated purpose matches the artifacts: the skill validates a stock entity, selects a report period, calls an Eastmoney performance-comment API, and returns generated content plus saved attachments.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install stock-earnings-review - After installation, invoke the skill by name or use
/stock-earnings-review - 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
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 9890 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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