stock-earnings-review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...
Install via ClawdBot CLI:
clawdbot install financial-ai-analyst/stock-earnings-reviewGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
REPORT → https://ai-saas.eastmoney.com/proxy/app-robo-advisor-api/assistant/write/choice/Calls external URL not in known-safe list
https://ai-saas.eastmoney.com/proxy/entity/dialogTagsV2AI Analysis
The skill sends data to documented East Money (东方财富) financial APIs consistent with its stated purpose of stock earnings analysis. While external calls are made, they appear legitimate for the service's functionality. No evidence of credential harvesting, hidden instructions, or obfuscation was found in the provided definition.
Audited Apr 17, 2026 · audit v1.0
Generated Apr 9, 2026
Financial analysts at investment firms use this skill to generate earnings reviews for specific stocks across global markets. They input company names or ticker symbols to get structured performance analysis with downloadable PDF/Word reports for client presentations and investment decision support.
Corporate strategy teams use this skill to analyze competitors' quarterly and annual earnings reports. They can track performance trends across industries and generate comparative analysis documents that help inform competitive positioning and market strategy decisions.
Retail investors use this skill to understand company earnings reports before making investment decisions. The skill helps them interpret complex financial data, providing structured analysis with downloadable attachments that can be saved for future reference and portfolio tracking.
Financial journalists and content creators use this skill to quickly generate earnings analysis for news articles and reports. The structured output with shareable links and downloadable attachments helps them create timely content about company performance across global markets.
Researchers and students in finance programs use this skill to gather structured earnings analysis for case studies and research papers. The ability to access historical report periods and generate downloadable analysis documents supports academic research on corporate performance.
Financial institutions subscribe to access the earnings review API with tiered pricing based on usage volume and features. Higher tiers include more frequent updates, historical data access, and priority support for time-sensitive earnings season analysis.
Individual developers and smaller firms pay per API call for earnings reviews, with volume discounts available. This model supports occasional users who need earnings analysis without committing to monthly subscriptions, particularly useful for freelance analysts and small investment firms.
Financial platforms and brokerages license the technology to embed earnings review capabilities into their existing products. The skill becomes a value-added feature that enhances their core offerings while generating licensing revenue through platform partnerships.
💬 Integration Tip
Ensure EM_API_KEY is properly configured before deployment and test the stepwise execution flow with sample queries to verify all three scripts work correctly in sequence.
Scored Apr 29, 2026
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财务分析 CLI 技能 - 财报分析、股票估值、风险评估