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vercel-sandboxVercel sandbox 搜索

Agent Skill

vercel-sandbox 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

214

周安装

9

GitHub Stars

公开资料未说明

下载量

75
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:vercel-sandbox(Vercel sandbox 搜索)
来源仓库:https://github.com/cesarecaoduro/agent-skills
仓库路径:skills/vercel-sandbox
安装命令:
npx skills add https://github.com/cesarecaoduro/agent-skills --skill vercel-sandbox
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/cesarecaoduro/agent-skills --skill vercel-sandbox

简介

vercel-sandbox 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。

  • 它基于 Vercel 浏览器渲染 API 实现网页浏览与抓取,无需设置浏览器环境即可发送 POST 请求。
  • 使用前需配置 CF_ACCOUNT_ID 和 CF_API_TOKEN 环境变量,并通过 cfbr.sh 脚本调用接口。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Vercel Sandbox Skill

Vercel Sandbox is an ephemeral compute primitive (Beta, all plans) that runs untrusted or user-generated code in isolated Linux microVMs on Vercel. It supports AI agents, code generation tools, developer sandboxes, and backend logic testing.

When to consult reference files

Quick reference

Install

pnpm i @vercel/sandbox    # TypeScript
pip install vercel-sandbox # Python

Authentication setup

vercel link         # Link to a Vercel project
vercel env pull     # Pull OIDC token to .env.local (expires 12h locally)

Minimal example (TypeScript)

import { Sandbox } from '@vercel/sandbox';

const sandbox = await Sandbox.create();
const result = await sandbox.runCommand('echo', ['Hello from Vercel Sandbox!']);
console.log(await result.stdout());
await sandbox.stop();

Key SDK classes

ClassPurpose
SandboxCreate, manage, list, snapshot microVMs
CommandInteract with running/detached commands
CommandFinishedAccess exit code, stdout, stderr after completion
SnapshotSave/restore sandbox state for fast restarts

Available runtimes

node24, node22, python3.13 — all on Amazon Linux 2023.

Default working directory

/vercel/sandbox — user code runs as vercel-sandbox user.

Timeouts

Default 5 min. Max: 45 min (Hobby), 5 hours (Pro/Enterprise). Extend with sandbox.extendTimeout().

Snapshots

Capture with sandbox.snapshot() — sandbox stops after snapshot. Expire after 7 days.

Updating documentation

When the user asks to "update the Vercel Sandbox documentation", choose the right method based on the environment:

Method selection

  • claude.ai / Claude Desktop (has web_fetch tool) → Use Path A: web_fetch
  • Claude Code (has bash with internet) → Use Path B: Python script

To detect: if web_fetch is in your available tools, use Path A. Otherwise use Path B.

Path A: web_fetch (claude.ai / Claude Desktop)

  1. Use web_fetch to retrieve https://vercel.com/docs/vercel-sandbox (the main page)
  2. Discover all sub-page links under /docs/vercel-sandbox/
  3. Fetch each known sub-page URL (see list below) plus any newly discovered pages
  4. For each reference file in references/: a. Read the existing file content b. Compare with fetched content — note additions, removals, changes c. Rewrite the reference file with updated, clean markdown d. Update the > Last fetched: date at the top
  5. Report to user: pages fetched, what changed per file, update date

Path B: Python script (Claude Code / local terminal)

Run the update script which has full internet access:

python3 <skill-path>/scripts/update_docs.py <skill-path>/references

The script will:

  1. Fetch all known sandbox doc URLs from vercel.com
  2. Discover any new sub-pages from the main page
  3. For each reference file: compute a diff, overwrite with new content, report changes
  4. Print a summary of what changed and when

After the script runs, review its output and report changes to the user.

Known doc page URLs

Also discover any new pages linked from the main page's sidebar/navigation.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

32.51%
按下载量换算24

Claude

32.54%
按下载量换算24

Cursor

17.5%
按下载量换算13

Gemini CLI

8.49%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/cesarecaoduro/agent-skills --skill vercel-sandbox 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills