Token导航 LogoToken导航TokenDH.com
研究检索操作浏览器clawhub未标认证来源可访问clear审计通过

paperpodpaperpod 命令行

Agent Skill

paperpod 用于处理浏览器自动化、网页检查和页面信息提取,适合在 OpenClaw 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。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

45,276

周安装

1,925

GitHub Stars

2

下载量

15,862
OpenClaw

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

MIT-0

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:paperpod(paperpod 命令行)
来源仓库:https://github.com/shassingh09/paperpod
安装命令:
openclaw skills install paperpod
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install paperpod

简介

用于代码执行、实时预览 URL、浏览器自动化、50 多个工具(ffmpeg、sqlite、pandoc、imagemagick)、LLM 推理和持久内存的独立代理运行时 — 全部通过 CLI 或 HTTP,无需 SDK 或 API 密钥。

SKILL.md

name
paperpod
description
Isolated agent runtime for code execution, live preview URLs, browser automation, 50+ tools (ffmpeg, sqlite, pandoc, imagemagick), LLM inference, and persistent memory — all via CLI or HTTP, no SDK or API keys required.
metadata
author
PaperPod
version
2.0.3
homepage
https://paperpod.dev

PaperPod

Isolated, agent-native sandboxes for code execution, live preview URLs, browser automation, 50+ tools (ffmpeg, sqlite, pandoc, imagemagick), LLM inference, and persistent memory — all via CLI or HTTP, no SDK or API keys required. Billed per second of compute usage and topup via stripe or x402.

Quick Start

curl -X POST https://paperpod.dev/login -d '{"email":"you@email.com"}'  # Verify and get token
npm install -g @paperpod/cli
ppod login <token> && ppod help

Authentication

Step 1: Get a token

curl -X POST https://paperpod.dev/login -d '{"email":"you@email.com"}'
# Check email → click magic link → copy token (pp_sess_...)

Step 2: Use the token (pick one method)

MethodHowBest for
CLI loginppod login pp_sess_...Everyday, Interactive use
Env varexport PAPERPOD_TOKEN=pp_sess_...Scripts, CI/CD
Per-request-H "Authorization: Bearer pp_sess_..."HTTP one-shots

Tokens expire in 15 days. On EXPIRED_TOKEN error, re-authenticate via POST /login.


CLI (Recommended)

The CLI is the easiest way to use PaperPod. It handles streaming, sessions, and reconnection automatically.

CLI Commands

CategoryCommandDescription
Sandboxppod exec <cmd>Run shell command
ppod write <path> [file]Write file (stdin if no file)
ppod read <path>Read file
ppod ls <path>List directory
Processesppod start <cmd>Start background process
ppod psList processes
ppod kill <id>Stop process
Portsppod expose <port>Get public URL (-q for URL only)
Browserppod browser:screenshot <url>Capture webpage
ppod browser:pdf <url>Generate PDF
ppod browser:scrape <url> [sel]Scrape elements (default: body)
ppod browser:markdown <url>Extract markdown
ppod browser:content <url>Get rendered HTML
ppod browser:test <url> '<json>'Run Playwright tests
ppod browser:acquireAcquire reusable session
ppod browser:connect <id>Connect to existing session
ppod browser:sessionsList active sessions
ppod browser:limitsCheck browser limits
AIppod ai <prompt>Text generation
ppod ai:embed <text>Generate embeddings
ppod ai:image <prompt>Generate image
ppod ai:transcribe <audio>Transcribe audio
ppod ai:modelsList available AI models
Codeppod interpret <code>Rich output (charts)
Memoryppod mem:write <path>Persist data
ppod mem:read <path>Read persisted data
ppod mem:lsList memory files
ppod mem:rm <path>Delete from memory
ppod mem:usageCheck quota
Accountppod balanceCheck credits
ppod statusConnection info
ppod helpShow all commands
ppod <cmd> --helpHelp for specific command

Update CLI: npm update -g @paperpod/cli

CLI Examples

# Execute code
ppod exec "python -c 'print(2+2)'"
ppod exec "npm init -y && npm install express"
# Start server + expose (--bind 0.0.0.0 required for public access)
ppod start "python -m http.server 8080 --bind 0.0.0.0"
ppod expose 8080  # → https://8080-{sandbox-id}-p8080_v1.paperpod.work (stable URL)
# Browser with tracing
ppod browser:screenshot https://example.com --trace debug.zip
# Persistent storage (survives sandbox reset)
echo '{"step":3}' | ppod mem:write state.json
# Built-in tools (50+ available: ffmpeg, sqlite3, pandoc, imagemagick, git, jq, ripgrep...)
ppod exec "ffmpeg -i input.mp4 -vf scale=640:480 output.mp4"  # Video processing
ppod exec "sqlite3 data.db 'SELECT * FROM users'"             # Database queries
ppod exec "convert image.png -resize 50% thumbnail.png"       # Image manipulation

HTTP Endpoints

Use HTTP for one-shot tasks or when CLI isn't available. Run curl https://paperpod.dev/docs or visit https://paperpod.dev/docs for full API reference.

Quick Reference

EndpointPurpose
POST /executeRun code (python, javascript, shell)
POST /execute/streamStream output (SSE)
POST /files/writeWrite file
POST /files/readRead file
POST /files/listList directory
POST /process/startStart background process
POST /process/listList processes
POST /exposeGet preview URL for port
POST /memory/writePersist data
POST /memory/readRead persisted data
POST /browser/screenshotCapture screenshot
POST /browser/pdfGenerate PDF
POST /browser/markdownExtract markdown
POST /ai/generateText generation
POST /ai/embedEmbeddings
POST /ai/imageImage generation
GET /ai/modelsList models

HTTP Example

# Execute shell command
curl -X POST https://paperpod.dev/execute \
  -H "Authorization: Bearer $PAPERPOD_TOKEN" \
  -d '{"code": "ls -la", "language": "shell"}'

Capabilities

CategoryWhat you can do
Code ExecutionPython, JavaScript, shell commands
ProcessesBackground servers, long-running jobs
Preview URLsExpose ports → https://8080-{sandbox-id}-p8080_v1.paperpod.work
Agent Memory10MB persistent storage (R2)
BrowserScreenshots, PDFs, scraping (Playwright)
AI ModelsText, embeddings, images, transcription
FilesRead/write, git, bulk operations

Pre-installed Tools (50+)

CategoryTools
Runtimespython, node, npm, bun, pip
Version Controlgit, gh (GitHub CLI)
HTTP & Networkingcurl, httpie, jq, dig, ss
Search & Textripgrep (rg), find, sed, awk, tree
Media & Docsffmpeg, imagemagick, pandoc
Build & Datamake, sqlite3, tar, gzip, zip, unzip

Key Notes

  • Sandboxes are isolated — each user gets their own container with a full Linux environment; you can only affect your own ephemeral sandbox
  • Sandbox is ephemeral — use Agent Memory (/memory/*) for persistence
  • Working directory is /workspace — relative paths like file.txt resolve to /workspace/file.txt
  • Servers must bind to 0.0.0.0 for public access
  • Ports 3000-3010 are reserved — use 8080, 5000, 4000, etc.
  • Browser sessions — Each command creates an ephemeral session. Use browser:acquire for multi-command session reuse, --trace to capture Playwright traces

Billing

$0.0001/sec compute + browser, $0.02/1K neurons AI. New accounts get $5 free (~14 hours), no credit card required.

Discovery

  • ppod help — CLI command reference
  • GET https://paperpod.dev/ — API schema (JSON)
  • GET https://paperpod.dev/docs — Full documentation

Advanced: WebSocket (not recommended for normal workflows). For programmatic integrations or custom apps, connect via WebSocket. GET https://paperpod.dev/docs to learn more.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

85.49%
按下载量换算13,560

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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