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通过生成并运行 Python 脚本处理大体量 Excel 文件，适用于 read_excel 全量读取成本高、需要分批处理或复杂计算的任务。
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| name | excel_code_runner |
| description | 通过生成并运行 Python 脚本处理大体量 Excel 文件，适用于 read_excel 全量读取成本高、需要分批处理或复杂计算的任务。 |
| file_patterns | ["*.xlsx","*.xlsm","*.xls"] |
| resources | ["references/largefile_code_workflow.md"] |
| version | 1.0.0 |
优先采用“探查 -> 写脚本 -> 执行 -> 验证”的四步流程：
get_file_info 查看 size_bytes，超过阈值时保持“子上下文只读探索 + 摘要返回”。read_excel(max_rows=200) 获取列名与样本数据。write_text_file 生成 scripts/temp/*.py 脚本。pandas.read_excel(usecols=..., nrows=...) 做范围控制。outputs/，不要把全量数据直接回传。run_code 执行脚本，默认 python_command=auto。stderr_tail，修复后再次写入并执行。关键约束：