一键导入
code-execution
Execute Python code in a secure, sandboxed environment. Use this for calculations, data processing, logic problems, and text manipulation.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
菜单
Execute Python code in a secure, sandboxed environment. Use this for calculations, data processing, logic problems, and text manipulation.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
Access the user's calendar to view schedules and create events. Use when the user asks about their schedule, meetings, or wants to set reminders and appointments.
Access the user's emails to read recent messages for context. Use when the conversation needs email information to answer questions or provide responses.
Search through stored memories and past conversations. Use when the user references previous discussions, asks you to remember something, or when context from past interactions would help answer their question.
Search the web for current information, news, documentation, and answers. Use when the user asks about recent events, needs factual information you're uncertain about, or requests real-time data like weather, stocks, or sports scores.
基于 SOC 职业分类
| name | code-execution |
| description | Execute Python code in a secure, sandboxed environment. Use this for calculations, data processing, logic problems, and text manipulation. |
| metadata | {"version":"1.0","requires_auth":false,"requires_google_auth":false,"requires_online":false,"tools":[{"name":"execute_code","description":"Execute Python code and return the output","parameters":{"code":{"type":"string","description":"The Python code to execute","required":true}}}]} |
This skill allows running Python code in a sandboxed embedded environment.
os, sys, io, socket are not available).numpy, pandas, requests are not available).print() values are captured. Print any values you want to view.def fib(n):
a, b = 0, 1
for i in range(0, n):
a, b = b, a + b
return a
print(fib(10))
text = "hello world"
print(text.upper()[::-1])