← 返回 Skills 市场
1459
总下载
2
收藏
0
当前安装
4
版本数
在 OpenClaw 中安装
/install paperpod
功能描述
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.
安全使用建议
This skill appears to honestly document a remote sandboxing service. Before installing or using it: verify the upstream project (paperpod.dev) and the npm package @paperpod/cli to ensure you trust the publisher; avoid installing global packages you haven't vetted; be careful where you paste the returned token (PAPERPOD_TOKEN) and do not reuse sensitive credentials in the sandbox; when using ppod expose or running servers, assume the bound port will be publicly reachable — do not expose private data or use production secrets. Consider testing with a disposable account/limited credits and review the service's privacy/billing terms before storing any sensitive information.
功能分析
Type: OpenClaw Skill
Name: paperpod
Version: 2.0.3
The skill bundle describes and documents the PaperPod service, which provides a sandboxed environment for code execution, file operations, network access, browser automation, and persistent memory. While these capabilities are powerful and could be misused by a malicious user of the PaperPod service, the skill bundle itself contains no evidence of intentional harmful behavior or prompt injection against the OpenClaw agent. All instructions in SKILL.md and reference files are descriptive of the service's functionality and how to interact with `paperpod.dev`.
能力评估
Purpose & Capability
The name/description (remote sandbox, browser automation, previews, AI, persistent memory) match the SKILL.md contents and examples. All commands and endpoints documented (execute, files, browser, ai, expose, memory) are coherent with the described purpose; no unrelated cloud credentials or out-of-scope capabilities are requested.
Instruction Scope
Runtime instructions stay within the advertised scope (use the PaperPod CLI or HTTP API to run code, start processes, expose ports, use browser automation, and read/write small persistent memory). However, the docs explicitly instruct obtaining a token via paperpod.dev/login, installing a global npm package, and creating public preview URLs and long-running processes — these are expected for the service but carry operational implications (public exposure of bound ports, potential hosting of arbitrary code). The SKILL.md does not instruct the agent to read unrelated local secrets, but it does show using PAPERPOD_TOKEN and per-request auth headers.
Install Mechanism
The registry metadata contains no install spec (instruction-only), but the README recommends installing @paperpod/cli globally via npm. Installing a global npm package is a moderate-risk action (runs code from the public npm registry, may have install scripts). Network operations (curl to paperpod.dev) are required to obtain auth tokens. These are expected for this integration but should be performed only after verifying the package and domain.
Credentials
The registry metadata lists no required env vars, yet SKILL.md examples rely on a PAPERPOD_TOKEN (pp_sess_...) for authentication and show using it in headers/env. Requiring a single service token is proportionate to the described functionality, but the discrepancy between declared requirements (none) and documented usage (PAPERPOD_TOKEN) is an inconsistency the user should note.
Persistence & Privilege
The skill does not request always:true and does not claim system-wide privileges. It documents persistent memory (10MB R2) and the ability to expose public URLs — these are natural features of the service but mean data and running processes can be reachable externally. The skill itself does not request elevated agent privileges beyond normal invocation.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install paperpod - 安装完成后，直接呼叫该 Skill 的名称或使用
/paperpod触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v2.0.3
- No feature or API changes; documentation improvements only.
v2.0.2
- Updated to version 2.0.2.
- Minor bug fixes (fixed preview url format)
v2.0.1
- Updated CLI installation to local (`npm install @paperpod/cli` + `npx ppod`) instead of global
- Changed CLI examples to use `npx ppod` for project isolation and reduced supply chain risk
- Updated CLI update command to `npm update @paperpod/cli`
- Minor improvements to authentication instructions
v2.0.0
**Major 2.0.0 update — PaperPod is now a full-featured agent runtime with an upgraded CLI and HTTP API.**
- isolated, agent-native sandboxes for code execution, browser automation, and AI inference.
- 50+ built-in tools available out-of-the-box (e.g. ffmpeg, sqlite, pandoc, imagemagick).
- Live preview URLs for exposed ports; persistent memory up to 10MB per user.
- Extensive CLI (`@paperpod/cli`) with streamlined authentication, code execution, process management, browser control, and AI commands.
- HTTP and WebSocket API for seamless programmatic access and integration—no SDK or API keys needed.
- Clear, detailed documentation for CLI and API usage included.
元数据
常见问题
PaperPod 是什么？
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. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 1459 次。
如何安装 PaperPod？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install paperpod」即可一键安装，无需额外配置。
PaperPod 是免费的吗？
是的，PaperPod 完全免费（开源免费），可自由下载、安装和使用。
PaperPod 支持哪些平台？
PaperPod 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 PaperPod？
由 Shawshank（@shassingh09）开发并维护，当前版本 v2.0.3。
推荐 Skills