sandbox-sdk

Build sandboxed apps for secure code execution on Cloudflare Workers with the Sandbox SDK (lifecycle, commands, files, code interpreter, preview URLs). USE WHEN building AI code execution, code interpreters, CI/CD systems, interactive dev environments, or running untrusted code. Biases toward Cloudflare docs.

跳到安装

仓库: Sheshiyer/skill-clusters
最近来源活动: 2026年6月5日 12:25
检测到的 SKILL.md 语言: 英语
星标: 0
分支: 1

安装方式

默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。

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。

直接命令不会经过审查 Prompt；运行前请先检查来源。

npx skills add https://github.com/Sheshiyer/skill-clusters --skill sandbox-sdk

命令会保持在同一行。复制前请横向滚动并检查完整内容。

想先保存到本地？可下载 SkillsMP 当前能够提供的文件。

检查来源文件

决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。

文件资源管理器

3 个文件

SKILL.md

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arcplume

Arcplume runs Grok through the Grok Build CLI's own OAuth-authenticated session (grok login) for image generation, with strict preflight validation, secret-safe handling, and headless CLI-driven execution -- no separate XAI_API_KEY billing. Video falls back to the billed xAI API. USE WHEN a user wants to generate an image via a locally logged-in Grok Build CLI session, e.g. 'generate an image with grok', 'use grok build', or 'use my logged-in grok session'.

2026-07-07

selemene-core

Shared reference for the Selemene cluster: the two report surfaces (deterministic Rust reports vs. narrative witness-pipeline readings), the @selemene/bridge CLI contract, the output manifest format, and non-prescriptive witnessing tone. USE WHEN deciding which Selemene surface to invoke or when routing between birth/compatibility/transit reports and solo/dyadic readings.

2026-07-07

selemene-orchestrator

Route Selemene Engine tasks to the right surface: deterministic reports (birth/compatibility/transit) via selemene-core and the @selemene/bridge CLI, or narrative witness readings via selemene-report. USE WHEN the user wants anything under the Selemene/Noesis umbrella but has not named the exact surface.

2026-07-07

查看这个仓库的全部 Skills

{
  "containers": [{
    "class_name": "Sandbox",
    "image": "./Dockerfile",
    "instance_type": "lite",
    "max_instances": 1
  }],
  "durable_objects": {
    "bindings": [{ "class_name": "Sandbox", "name": "Sandbox" }]
  },
  "migrations": [{ "new_sqlite_classes": ["Sandbox"], "tag": "v1" }]
}

import { getSandbox } from '@cloudflare/sandbox';
export { Sandbox } from '@cloudflare/sandbox';  // Required export

Task	Method
Get sandbox	`getSandbox(env.Sandbox, 'user-123')`
Run command	`await sandbox.exec('python script.py')`
Run code (interpreter)	`await sandbox.runCode(code, { language: 'python' })`
Write file	`await sandbox.writeFile('/workspace/app.py', content)`
Read file	`await sandbox.readFile('/workspace/app.py')`
Create directory	`await sandbox.mkdir('/workspace/src', { recursive: true })`
List files	`await sandbox.listFiles('/workspace')`
Expose port	`await sandbox.exposePort(8080)`
Destroy	`await sandbox.destroy()`

const sandbox = getSandbox(env.Sandbox, 'user-123');
const result = await sandbox.exec('python --version');
// result: { stdout, stderr, exitCode, success }

const ctx = await sandbox.createCodeContext({ language: 'python' });

await sandbox.runCode('import pandas as pd; data = [1,2,3]', { context: ctx });
const result = await sandbox.runCode('sum(data)', { context: ctx });
// result.results[0].text = "6"

await sandbox.mkdir('/workspace/project', { recursive: true });
await sandbox.writeFile('/workspace/project/main.py', code);
const file = await sandbox.readFile('/workspace/project/main.py');
const files = await sandbox.listFiles('/workspace/project');

Need	Use	Why
Shell commands, scripts	`exec()`	Direct control, streaming
LLM-generated code	`runCode()`	Rich outputs, state persistence
Build/test pipelines	`exec()`	Exit codes, stderr capture
Data analysis	`runCode()`	Charts, tables, pandas

FROM docker.io/cloudflare/sandbox:0.7.0

# Python packages
RUN pip install requests beautifulsoup4

# Node packages (global)
RUN npm install -g typescript

# System packages
RUN apt-get update && apt-get install -y ffmpeg && rm -rf /var/lib/apt/lists/*

EXPOSE 8080  # Required for local dev port exposure

const { url } = await sandbox.exposePort(8080);
// Returns preview URL for the service

import { Shell, Editor } from '@cloudflare/sandbox/openai';

Resource	URL
Docs	https://developers.cloudflare.com/sandbox/
API Reference	https://developers.cloudflare.com/sandbox/api/
Examples	https://github.com/cloudflare/sandbox-sdk/tree/main/examples
Get Started

Resource	URL
Docs	https://developers.cloudflare.com/sandbox/
API Reference	https://developers.cloudflare.com/sandbox/api/
Examples	https://github.com/cloudflare/sandbox-sdk/tree/main/examples
Get Started

sandbox-sdk

安装方式

检查来源文件

Cloudflare Sandbox SDK

FIRST: Verify Installation

Retrieval Sources

Cloudflare Sandbox SDK

FIRST: Verify Installation

Retrieval Sources

Required Configuration

Quick Reference

Core Patterns

Execute Commands

Code Interpreter (Recommended for AI)

File Operations

When to Use What

Extending the Dockerfile

Preview URLs (Port Exposure)

OpenAI Agents SDK Integration

Sandbox Lifecycle

Anti-Patterns

Detailed References

name	sandbox-sdk
description	Build sandboxed apps for secure code execution on Cloudflare Workers with the Sandbox SDK (lifecycle, commands, files, code interpreter, preview URLs). USE WHEN building AI code execution, code interpreters, CI/CD systems, interactive dev environments, or running untrusted code. Biases toward Cloudflare docs.
cluster	cloudflare
version	1.0.0

sandbox-sdk

来源信息

安装方式

检查来源文件

同仓库更多 Skills

同仓库更多 Skills

Cloudflare Sandbox SDK

FIRST: Verify Installation

Retrieval Sources

Cloudflare Sandbox SDK

FIRST: Verify Installation

Retrieval Sources

Required Configuration

Quick Reference

Core Patterns

Execute Commands

Code Interpreter (Recommended for AI)

File Operations

When to Use What

Extending the Dockerfile

Preview URLs (Port Exposure)

OpenAI Agents SDK Integration

Sandbox Lifecycle

Anti-Patterns

Detailed References