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feat: multimodal image clients, workspaces, Tushare skill, test fixes
- Replace monolithic image_message_client with HTTP/OCR/legacy modules; tighten OpenAI transport + tool schemas for multimodal downgrade to OCR specialist path. - Add image/stock workspace prompts (META/SOUL/ROLE_SYSTEM); register experts; tweak specialist agent/direct loop/query_image_attachment. - Add bundled runtime/skills/tushare-finance (references, api_client, SKILL metadata). - Document OCR-related env vars; admin chat tweaks; README; weixin_install Ensure-OfficialPluginRuntimeDeps helper. - Tests: multimodal downgrade + OCR coverage, strict tool pairing in attachment replay guard, workspace contract skips _internal/_system dirs, router/trace/prompt guards. Co-authored-by: Cursor <cursoragent@cursor.com>
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runtime/skills/tushare-finance/reference/接口文档/国债收益率曲线利率.md
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runtime/skills/tushare-finance/reference/接口文档/国债收益率曲线利率.md
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# 国债收益率曲线利率
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**文档ID**: 219
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**原始链接**: https://tushare.pro/document/2?doc_id=219
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---
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## 国债收益率曲线利率（日频）
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接口：us_tycr描述：获取美国每日国债收益率曲线利率限量：单次最大可获取2000条数据权限：用户积累120积分可以使用，积分越高频次越高。具体请参阅积分获取办法
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输入参数
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<table>
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<thead>
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<tr>
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<th>名称</th>
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<th>类型</th>
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<th>必选</th>
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<th>描述</th>
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</tr>
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</thead>
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<tbody><tr>
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<td>date</td>
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<td>str</td>
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<td>N</td>
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<td>日期 （YYYYMMDD格式，下同）</td>
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</tr>
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<tr>
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<td>start_date</td>
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<td>str</td>
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<td>N</td>
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<td>开始日期</td>
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</tr>
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<tr>
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<td>end_date</td>
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<td>str</td>
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<td>N</td>
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<td>结束日期</td>
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</tr>
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<tr>
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<td>fields</td>
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<td>str</td>
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<td>N</td>
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<td>指定输出字段（e.g. fields='m1,y1'）</td>
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</tr>
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</tbody></table>
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输出参数
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<table>
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<thead>
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<tr>
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<th>名称</th>
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<th>类型</th>
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<th>默认显示</th>
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<th>描述</th>
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</tr>
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</thead>
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<tbody><tr>
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<td>date</td>
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<td>str</td>
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<td>Y</td>
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<td>日期</td>
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</tr>
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<tr>
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<td>m1</td>
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<td>float</td>
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<td>Y</td>
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<td>1月期</td>
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</tr>
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<tr>
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<td>m2</td>
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<td>float</td>
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<td>Y</td>
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<td>2月期</td>
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</tr>
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<tr>
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<td>m3</td>
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<td>float</td>
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<td>Y</td>
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<td>3月期</td>
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</tr>
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<tr>
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<td>m4</td>
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<td>float</td>
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<td>Y</td>
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<td>4月期（数据从20221019开始）</td>
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</tr>
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<tr>
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<td>m6</td>
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<td>float</td>
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<td>Y</td>
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<td>6月期</td>
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</tr>
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<tr>
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<td>y1</td>
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<td>float</td>
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<td>Y</td>
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<td>1年期</td>
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</tr>
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<tr>
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<td>y2</td>
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<td>float</td>
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<td>Y</td>
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<td>2年期</td>
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</tr>
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<tr>
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<td>y3</td>
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<td>float</td>
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<td>Y</td>
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<td>3年期</td>
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</tr>
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<tr>
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<td>y5</td>
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<td>float</td>
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<td>Y</td>
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<td>5年期</td>
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</tr>
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<tr>
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<td>y7</td>
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<td>float</td>
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<td>Y</td>
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<td>7年期</td>
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</tr>
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<tr>
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<td>y10</td>
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<td>float</td>
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<td>Y</td>
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<td>10年期</td>
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</tr>
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<tr>
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<td>y20</td>
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<td>float</td>
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<td>Y</td>
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<td>20年期</td>
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</tr>
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<tr>
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<td>y30</td>
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<td>float</td>
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<td>Y</td>
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<td>30年期</td>
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</tr>
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</tbody></table>
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接口调用
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```
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pro = ts.pro_api()
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df = pro.us_tycr(start_date='20180101', end_date='20200327')
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#获取1月期和1年期数据
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df = pro.us_tycr(start_date='20180101', end_date='20200327', fields='m1,y1')
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```
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数据样例
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```
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date m1 m2 m3 m6 y1 y2 y3 y5 y7 y10 y20 y30
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0 20200327 0.01 0.03 0.03 0.02 0.11 0.25 0.30 0.41 0.60 0.72 1.09 1.29
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1 20200326 0.01 0.01 0.00 0.04 0.13 0.30 0.36 0.51 0.72 0.83 1.20 1.42
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2 20200325 0.00 0.00 0.00 0.07 0.19 0.34 0.41 0.56 0.77 0.88 1.23 1.45
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3 20200324 0.01 0.01 0.01 0.09 0.25 0.38 0.44 0.52 0.75 0.84 1.19 1.39
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4 20200323 0.01 0.04 0.02 0.08 0.17 0.28 0.31 0.38 0.63 0.76 1.12 1.33
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... ... ... ... ... ... ... ... ... ... ... ... ... ...
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1995 20120405 0.07 None 0.08 0.14 0.19 0.35 0.50 1.01 1.56 2.19 2.97 3.32
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1996 20120404 0.08 None 0.08 0.14 0.19 0.35 0.53 1.05 1.62 2.25 3.02 3.37
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1997 20120403 0.07 None 0.08 0.15 0.20 0.36 0.56 1.10 1.68 2.30 3.07 3.41
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1998 20120402 0.05 None 0.08 0.14 0.18 0.33 0.50 1.03 1.60 2.22 3.00 3.35
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1999 20120330 0.05 None 0.07 0.15 0.19 0.33 0.51 1.04 1.61 2.23 3.00 3.35
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```
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