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Agentbay Aio Skills

  • 61 installs
  • 47 repo stars
  • Updated February 12, 2026
  • agentbay-ai/agentbay-skills

agentbay-aio-skills is a Claude Code skill that runs user code in an isolated AgentBay cloud sandbox via the wuying-agentbay-sdk and returns the result.

About

agentbay-aio-skills is a Claude Code skill that runs user code in an isolated AgentBay cloud sandbox instead of the local terminal. It creates a code_latest session via the wuying-agentbay-sdk, executes code with run_code, and returns the result. A developer invokes it for any run or execute-code request in Python, JavaScript, R, or Java, including plotting. It reads an AgentBay API key from a config file or environment variable and has a 60-second per-execution timeout.

  • Runs user code in an isolated AgentBay cloud sandbox via the wuying-agentbay-sdk
  • Supports Python, JavaScript, R, and Java through scripts/run_code.py
  • Triggers on any run/execute-code request even without the word sandbox

Agentbay Aio Skills by the numbers

  • 61 all-time installs (skills.sh)
  • Ranked #991 of 2,715 Automation & Workflows skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
At a glance

agentbay-aio-skills capabilities & compatibility

Requires an AgentBay (Aliyun) API key; key requested only on a Missing API key error.

Capabilities
code execution · cloud sandbox · plotting
Works with
aws
Use cases
debugging · data analysis
Runs
Local or remote
Pricing
Bring your own API key
From the docs

What agentbay-aio-skills says it does

支持 Python、JavaScript、R、Java。
SKILL.md
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。
SKILL.md
npx skills add https://github.com/agentbay-ai/agentbay-skills --skill agentbay-aio-skills

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Listed on Skillselion
Installs61
repo stars47
Last updatedFebruary 12, 2026
Repositoryagentbay-ai/agentbay-skills

What it does

A developer asks the agent to run or plot code and it executes in an isolated AgentBay sandbox rather than the local shell.

Who is it for?

Executing Python, JavaScript, R, or Java code and plots in an isolated cloud sandbox instead of the local terminal.

Skip if: Adult local execution when isolation is not wanted, or languages beyond python/javascript/r/java.

When should I use this skill?

A user asks to run this code, execute a script, or plot with Python, even without saying sandbox.

What you get

Code executed in an isolated AgentBay sandbox with stdout, logs, and structured JSON results.

  • code execution result (stdout / JSON success, result, logs, error_message)

By the numbers

  • 4 supported languages (python, javascript, r, java)
  • 60-second per-execution timeout

Files

SKILL.mdMarkdownGitHub ↗

AgentBay AIO 技能

触发条件:何时使用本技能

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):

  • 英文:run this code、execute this script、run the code、execute the script、plot with Python、draw a graph、evaluate this snippet、what's the output of this code、can you run this
  • 中文:帮我跑一下这段代码、运行这段代码、执行这个脚本、用 Python 画个图、跑一下、看下运行结果、执行一下、帮我运行

依赖与环境

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

1. 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

2. 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/

3. 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。)

API Key(仅报错时引导)

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:

1. 到 AgentBay 控制台 申请 API Key。 2. 在本地创建配置文件(脚本会从该路径读取):

  • macOS / Linux~/.config/agentbay/api_key(或 $XDG_CONFIG_HOME/agentbay/api_key
  • Windows%USERPROFILE%\.config\agentbay\api_key

3. 示例(macOS/Linux):mkdir -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。 4. 告知用户完成后重试,不要只复述报错。

使用场景

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。

概述

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。

执行方式(Agent 必读)

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。)

脚本输出

  • 成功:脚本 exit code 0,结果在 stdout(或加 --json 时输出 JSON:successresultlogserror_message)。
  • 失败:exit code 非 0,错误信息在 stderr;根据输出提示用户(如缺 API Key 则按「API Key(仅报错时引导)」处理)。

重要约束

  • language 支持:pythonjavascriptrjava(不区分大小写)。
  • 单次执行超时 60 秒(可用 --timeout-s 指定,不超过 60)。

Related skills

FAQ

Which languages does it support?

The language parameter supports python, javascript, r, and java, case-insensitive.

Is there an execution time limit?

Yes. A single execution times out at 60 seconds, configurable with --timeout-s up to 60.

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