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Install in OpenClaw
/install 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.
Usage Guidance
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.
Capability Analysis
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`.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install paperpod - After installation, invoke the skill by name or use
/paperpod - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is PaperPod?
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. It is an AI Agent Skill for Claude Code / OpenClaw, with 1459 downloads so far.
How do I install PaperPod?
Run "/install paperpod" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is PaperPod free?
Yes, PaperPod is completely free (open-source). You can download, install and use it at no cost.
Which platforms does PaperPod support?
PaperPod is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created PaperPod?
It is built and maintained by Shawshank (@shassingh09); the current version is v2.0.3.
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