学习切入点
数据源类 skill 关注如何接入行情、基本面、情绪或专业数据接口。它适合学习金融 AI 的数据底座：没有稳定数据源，就很难让 agent 形成可复核输出。
01
工作流分析
- 来源与路径：来自
community-himself65-finance-skills，上游路径plugins/data-providers/skills/finance-sentiment/SKILL.md，本地路径12-financial-ai-skills/upstream-snapshots/community-himself65-finance-skills/plugins/data-providers/skills/finance-sentiment/SKILL.md。 - 原始定位：官方/上游描述：Fetch structured stock sentiment across Reddit, X.com, news, and Polymarket using the Adanos Finance API. Use this skill whenever the user asks how much people are talking about a stock, how hot a ticker is on social platforms, how many Polymarket bets exist for a company, whether sources are aligned, or to compare stock sentiment across multiple tickers. Triggers include: "social sentiment on TSLA", "how hot is NVDA on X.com", "how many Reddit mentions does AAPL have", "compare sentiment on AMD vs NVDA", "how many Polymarket bets on Microsoft", "is Reddit aligned with X on META", "stock buzz", "bullish percentage", and any mention of cross-source stock sentiment research. This skill is READ-ONLY and does not place trades or modify anything.
- 金融业务理解：数据源类 skill 关注如何接入行情、基本面、情绪或专业数据接口。它适合学习金融 AI 的数据底座：没有稳定数据源，就很难让 agent 形成可复核输出。
- AI 工作流价值：它补充了金融 agent 从“会写”到“能查、能算、能画、能跟踪”的能力。对学习者而言，重点是理解它依赖哪些外部工具、数据字段、模型假设和运行环境。
- 可迁移应用方向：可用于本项目的 06 数据工程模块，设计“金融数据源目录、字段含义、刷新频率、权限和质量检查”模板。
- 风险与治理边界：治理重点是数据授权、API key 管理和字段解释。任何付费/授权数据都不能随意公开入库，密钥必须放 Secrets。
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01 Skill 上游文件https://github.com/himself65/finance-skills/blob/294dc86f2ca2/plugins/data-providers/skills/finance-sentiment/SKILL.mdFSK-074 · 查看仓库原文12-financial-ai-skills/community-finance-ai-skills-analysis-02.md原始来源与整理依据
文字分析来自内容源；业务分类、技术标签由 SeekingDAO 按规则整理。披露效果保留原有时间、范围和预测口径，未作独立审计。开源项目与 Skill 的当前许可、兼容性及依赖请以其上游为准。