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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/ETF分钟行情.md
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runtime/skills/tushare-finance/reference/接口文档/ETF分钟行情.md
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# ETF分钟行情
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**文档ID**: 387
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**原始链接**: https://tushare.pro/document/2?doc_id=387
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---
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## ETF历史分钟行情
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接口：stk_mins描述：获取ETF分钟数据，支持1min/5min/15min/30min/60min行情，提供Python SDK和 http Restful API两种方式限量：单次最大8000行数据，可以通过股票代码和时间循环获取，本接口可以提供超过10年ETF历史分钟数据权限：正式权限请参阅权限说明
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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>ts_code</td>
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<td>str</td>
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<td>Y</td>
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<td>ETF代码，e.g. 159001.SZ</td>
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</tr>
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<tr>
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<td>freq</td>
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<td>str</td>
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<td>Y</td>
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<td>分钟频度（1min/5min/15min/30min/60min）</td>
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</tr>
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<tr>
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<td>start_date</td>
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<td>datetime</td>
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<td>N</td>
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<td>开始日期 格式：2025-06-01 09:00:00</td>
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</tr>
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<tr>
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<td>end_date</td>
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<td>datetime</td>
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<td>N</td>
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<td>结束时间 格式：2025-06-20 19:00:00</td>
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</tr>
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</tbody></table>
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freq参数说明
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<table>
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<thead>
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<tr>
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<th>freq</th>
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<th>说明</th>
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</tr>
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</thead>
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<tbody><tr>
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<td>1min</td>
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<td>1分钟</td>
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</tr>
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<tr>
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<td>5min</td>
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<td>5分钟</td>
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</tr>
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<tr>
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<td>15min</td>
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<td>15分钟</td>
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</tr>
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<tr>
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<td>30min</td>
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<td>30分钟</td>
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</tr>
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<tr>
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<td>60min</td>
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<td>60分钟</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>ts_code</td>
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<td>str</td>
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<td>Y</td>
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<td>ETF代码</td>
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</tr>
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<tr>
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<td>trade_time</td>
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<td>str</td>
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<td>Y</td>
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<td>交易时间</td>
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</tr>
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<tr>
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<td>open</td>
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<td>float</td>
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<td>Y</td>
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<td>开盘价</td>
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</tr>
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<tr>
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<td>close</td>
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<td>float</td>
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<td>Y</td>
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<td>收盘价</td>
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</tr>
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<tr>
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<td>high</td>
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<td>float</td>
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<td>Y</td>
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<td>最高价</td>
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</tr>
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<tr>
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<td>low</td>
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<td>float</td>
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<td>Y</td>
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<td>最低价</td>
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</tr>
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<tr>
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<td>vol</td>
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<td>int</td>
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<td>Y</td>
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<td>成交量</td>
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</tr>
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<tr>
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<td>amount</td>
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<td>float</td>
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<td>Y</td>
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<td>成交金额</td>
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</tr>
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</tbody></table>
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接口用法
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```
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pro = ts.pro_api()
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#获取沪深300ETF华夏510330.SH的历史分钟数据
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df = pro.stk_mins(ts_code='510330.SH', freq='1min', start_date='2025-06-20 09:00:00', end_date='2025-06-20 19:00:00')
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```
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数据样例
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```
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ts_code trade_time close open high low vol amount
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0 510330.SH 2025-06-20 15:00:00 3.991 3.991 3.992 3.990 800600.0 3194805.0
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1 510330.SH 2025-06-20 14:59:00 3.991 3.990 3.991 3.989 182500.0 728177.0
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2 510330.SH 2025-06-20 14:58:00 3.990 3.992 3.992 3.990 113700.0 453763.0
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3 510330.SH 2025-06-20 14:57:00 3.992 3.992 3.992 3.991 17400.0 69460.0
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4 510330.SH 2025-06-20 14:56:00 3.992 3.992 3.992 3.991 447500.0 1786373.0
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.. ... ... ... ... ... ... ... ...
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236 510330.SH 2025-06-20 09:34:00 3.994 3.994 3.995 3.994 2528100.0 10097818.0
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237 510330.SH 2025-06-20 09:33:00 3.994 3.991 3.994 3.991 143300.0 572084.0
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238 510330.SH 2025-06-20 09:32:00 3.992 3.990 3.993 3.990 1118500.0 4463264.0
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239 510330.SH 2025-06-20 09:31:00 3.988 3.984 3.992 3.984 1176100.0 4691600.0
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240 510330.SH 2025-06-20 09:30:00 3.983 3.983 3.983 3.983 20700.0 82448.0
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```
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