Skillget

smyth-docs

mcp
Security Audit
Fail
Health Pass
  • License — License: NOASSERTION
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Community trust — 20 GitHub stars
Code Fail
  • rm -rf — Recursive force deletion command in .github/workflows/prod-deploy.yml
Permissions Pass
  • Permissions — No dangerous permissions requested
Purpose
This project is the open-source documentation website for the SmythOS platform. Built with Docusaurus, it provides guides and references for users wanting to build, run, and deploy AI agents.

Security Assessment
Overall Risk: Low. The tool is a static site generator and does not natively access sensitive local data, execute arbitrary shell commands at runtime, or make suspicious network requests. There are no hardcoded secrets or dangerous permissions requested in the package configuration. However, the automated rule scan flagged a `rm -rf` command inside a GitHub Actions deployment workflow (`.github/workflows/prod-deploy.yml`). While standard for cleaning up servers during deployment, this is a slight operational risk if the workflow ever runs in an untrusted context. Outside of this CI/CD script, the actual application code is completely safe.

Quality Assessment
The project is actively maintained, with its most recent repository push occurring today. It has a modest but growing community presence, currently tracked at 20 GitHub stars. The repository includes a clear description and standard contribution guidelines. One minor drawback is that the license is marked as `NOASSERTION`, meaning developers should verify the exact terms before copying or heavily modifying the code for commercial purposes.

Verdict
Safe to use.
SUMMARY

Everything you need to build, deploy, and collaborate with agents. Ride the llama, avoid the drama.

README.md

SmythOS Documentation

This repository contains the open source documentation for SmythOS. The docs are written in Markdown/MDX and built with Docusaurus.

The content covers everything from building agents in the cloud-based Studio to running them locally with the Runtime and deploying them in production. Browse the documentation online or run it locally using the instructions below.

Documentation Overview

The docs are organized into several areas:

  • Studio – visually build, test, and debug agents.
  • Weaver – describe your goal and have Weaver create agents with no code.
  • Runtime – run agents locally or at scale.
  • Deployments – version and host agents on real-world platforms.
  • Collaboration – work in teams with Spaces and Groups.
  • Templates – start fast with prebuilt agent templates.
  • Account Management – manage subscriptions and integrations.

Prerequisites

  • Node.js 18 or later

Installation

Install project dependencies:

npm install

Local Development

Start a local development server and open the site in your browser:

npm start

The website will be available at http://localhost:3000.

Production Build

Generate a static build in the build/ directory:

npm run build

You can serve the build locally with:

npm run serve

Project Structure

  • docs/ – MDX files that make up the documentation content.
  • src/ – React components, pages, and styling.
  • static/ – Images and other static assets.
  • docusaurus.config.ts – Docusaurus configuration.
  • sidebars.ts – Sidebar navigation setup.

Edit files under docs/ or src/ to update the documentation and then submit a pull request.

Contributing

We welcome contributions and fixes. If you spot an issue or want to add new content:

  1. Fork this repository and create a new branch.
  2. Make your changes to the Markdown/MDX files in docs/ or to the components in src/.
  3. Open a pull request describing your changes.

No production deployment is required to contribute. Simply open a PR and share your improvements. Please see our Contributing Guide for complete details.

What's Next?

/smɪθ oʊ ɛs/

Ride the llama. Skip the drama.

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