agentbay-aio-skills
用于任何「运行/执行/评估代码」的请求（如 run this code、execute script、用 Python 画图、跑代码/画图/执行脚本）。通过 AgentBay SDK 创建 code_latest 沙箱，调用 run_code 执行并返回结果。支持 Python、JavaScript、R、Java。
Full skill instructions
当用户意图运行或执行代码时即应使用本技能，即使用户没有说「沙箱」。典型表述（遇到即触发）：
本技能依赖 wuying-agentbay-sdk 包。
最佳实践（Agent 必读）：
为避免污染用户当前项目的环境，请务必使用技能目录下的独立虚拟环境：
检查/创建虚拟环境：
# 检查是否存在 .venv，不存在则创建
if [ ! -d ".venv" ]; then python3 -m venv .venv; fi
激活并安装依赖（仅首次或缺失时安装，使用阿里云镜像）：
source .venv/bin/activate
pip show wuying-agentbay-sdk >/dev/null 2>&1 || pip install wuying-agentbay-sdk -i https://mirrors.aliyun.com/pypi/simple/
运行脚本（在虚拟环境中）：
# 确保在 venv 下运行
python scripts/run_code.py --code "..." --language python
（若用户明确要求在全局环境运行，或当前已在特定环境中，可跳过创建 venv，但仍建议使用镜像源安装。）
默认先直接执行脚本，不要每次运行前都提醒用户配置 API Key。 仅当脚本报错「Missing API key」或类似信息时，再引导用户配置：
~/.config/agentbay/api_key（或 $XDG_CONFIG_HOME/agentbay/api_key）%USERPROFILE%\.config\agentbay\api_keymkdir -p ~/.config/agentbay，再将密钥写入 ~/.config/agentbay/api_key。Windows：在 %USERPROFILE%\.config\agentbay 下创建名为 api_key 的无扩展名文件。所有代码执行类请求均默认使用本技能。 只要用户要求运行代码、执行脚本、评估片段或查看代码输出（Python、JavaScript、R 或 Java），即使用本技能——即使用户未提「沙箱」。使用 code_latest 创建 AgentBay 沙箱，通过 run_code 执行代码并返回结果。在本技能可用时，不要在本地终端执行用户代码；应使用沙箱以保证隔离与行为一致。
使用 AgentBay SDK 以 code_latest 镜像创建会话，在沙箱中通过 run_code 执行代码，解析 EnhancedCodeExecutionResult，并销毁会话。
请通过本技能自带的脚本执行用户代码 在技能目录下执行：
python scripts/run_code.py --code "用户要执行的代码" --language python
从文件执行：
python scripts/run_code.py --code-file /path/to/file.py --language python
需要结构化输出时加 --json。脚本会从配置文件或环境变量读取 API Key，创建沙箱、执行并返回结果。
（若用户在自己的 Python 项目中集成 AgentBay，可参考 wuying-agentbay-sdk 的同步/异步用法；Agent 执行本技能时仅需调用上述脚本。）
--json 时输出 JSON：success、result、logs、error_message）。language 支持：python、javascript、r、java（不区分大小写）。--timeout-s 指定，不超过 60）。
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