tradingagents-cn-skill股票多智能体分析报告生成。通过 6 个分析师串行分析 + 多空辩论 + 交易计划 + 风险评估， 生成专业 PDF 报告。触发场景：用户要求分析股票、生成股票报告、提供截图或代码进行分析、 询问买卖建议、要求技术分析或基本面分析或风险评估。
Install via ClawdBot CLI:
clawdbot install tanteng/tradingagents-cn-skillGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/hsliuping/TradingAgents-CNAudited Apr 17, 2026 · audit v1.0
Generated May 6, 2026
用户提供股票代码或名称，多智能体框架自动收集新闻、执行技术分析、基本面分析和风险评估，生成包含新闻数据的专业PDF报告。适用于投资者快速获取全面分析。
用户询问买入、卖出或持有建议，技能通过多智能体辩论机制（多空分析师、技术分析师等）生成综合观点，辅助用户做出更明智的交易决策。
技能要求必须集成web_search工具获取至少5-10条新闻，并自动标注每条的倾向性（偏多/偏空/中性），作为分析报告的重要组成部分。适合需要基于新闻进行情绪分析的场景。
用户要求技术分析或基本面分析时，技能调用对应的分析师智能体（如技术分析师、基本面分析师），结合历史数据和财务指标生成深度分析，并整合到报告中。
按次或订阅模式向个人投资者、投资顾问提供专业股票分析PDF报告。每次分析基于实时新闻和多智能体辩论，报告可定制化。
将股票分析能力通过API开放给券商、财经网站、金融App等B端客户，允许其以自有品牌向用户提供分析报告。
除了现成报告，可额外提供原始分析数据、新闻情绪标签、多智能体辩论记录等结构化数据，供量化基金、研究机构等付费订阅。
💬 Integration Tip
确保已配置web_search MCP tool，因为新闻数据的获取是生成报告的强制前提。脚本路径需与SKILL.md中一致，并确认Python环境安装了所有依赖（如reportlab等）。
Scored Jul 6, 2026
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