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financial-ai-analyst

Earnings Review Agent

作者 Financial AI Analyst · GitHub ↗ · v1.0.3 · MIT-0
cross-platform ✓ 安全检测通过
9890
总下载
6
收藏
0
当前安装
4
版本数
在 OpenClaw 中安装
/install stock-earnings-review
功能描述
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...
安全使用建议
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.
能力评估
ℹ 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.
ℹ 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.
ℹ 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.
ℹ 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.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install stock-earnings-review
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /stock-earnings-review 触发
  4. 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
v1.0.3
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.
元数据
Slug stock-earnings-review
版本 1.0.3
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 4
常见问题

Earnings Review Agent 是什么?

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... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 9890 次。

如何安装 Earnings Review Agent?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install stock-earnings-review」即可一键安装,无需额外配置。

Earnings Review Agent 是免费的吗?

是的,Earnings Review Agent 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Earnings Review Agent 支持哪些平台?

Earnings Review Agent 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Earnings Review Agent?

由 Financial AI Analyst(@financial-ai-analyst)开发并维护,当前版本 v1.0.3。

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