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wtf is skynet?

0xdevalias/skynet — explained in plain English

Analysis updated 2026-07-30 · repo last pushed 2023-11-24

Audience · developerComplexity · 2/5DormantSetup · moderate

TL;DR

A lightweight local proxy server that sits between your app and OpenAI's APIs, automatically handling authentication headers, file content types, and request routing so you don't have to manage those details yourself.

Mindmap

mindmap
  root((repo))
    What it does
      Proxies OpenAI API calls
      Adds auth headers
      Detects file content types
      Routes requests
    Tech stack
      JavaScript
      Node.js
      ngrok
    Use cases
      Chatbot document uploads
      OpenAI assistants integration
      File handling automation
    Audience
      Developers building on OpenAI
      Teams using assistants API
    Setup
      Local server
      ngrok public URL
      Minimal configuration

Code map

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Why would anyone build with this?

REASON 1

Build a chatbot that uploads documents to OpenAI for analysis without manually coding file content types.

REASON 2

Offload repetitive authentication header management when integrating with OpenAI's assistants API.

REASON 3

Route multiple OpenAI API requests through a single local proxy that handles beta flags and headers automatically.

What's in the stack?

JavaScriptNode.jsngrok

How it stacks up

0xdevalias/skynet00kaku/gallery-slider-block04amanrajj/netwatch
Stars0
LanguageJavaScriptRust
Last pushed2023-11-242021-05-19
MaintenanceDormantDormant
Setup difficultymoderateeasymoderate
Complexity2/52/53/5
Audiencedevelopergeneralops devops

Figures from each repo's GitHub metadata at analysis time.

How do you spin it up?

Difficulty · moderate Time to first run · 30min

Requires Node.js and ngrok installed to create a public URL for the local proxy server.

No license information was provided in the explanation, so the licensing terms for this project are unknown.

Wtf does this do

Skynet is a lightweight proxy server that sits between your application and OpenAI's assistant and file APIs. It handles some of the technical plumbing for you, automatically adding the right authentication headers, figuring out the correct content type when uploading files, and routing requests to the right places, so your app can talk to OpenAI's services without you having to manage those details yourself. At a high level, it works as a middleman. You send your API requests to the proxy instead of sending them directly to OpenAI. The proxy inspects each request, adds any missing headers that OpenAI requires (like the beta flag for the assistants endpoint), determines the correct file type for uploads based on the filename, and then forwards everything along to OpenAI. It runs locally using Node.js, and it uses a tool called ngrok to create a public URL so external services can reach your local proxy. This would be useful for developers or teams building apps on top of OpenAI's assistants API who want to offload the repetitive work of header management and file handling. For example, if you're building a chatbot that uploads documents to OpenAI for analysis, the proxy would automatically detect whether you're sending a PDF, a text file, or a JSON file and set the appropriate content type, something you'd otherwise need to code manually. The project is fairly minimal in scope. It's built in JavaScript, runs as a simple local server, and doesn't appear to include heavy infrastructure or complex configuration. The README doesn't go into much detail beyond the basic setup steps, and references separate documentation files for troubleshooting and contributing guidelines that aren't included in the repo description itself.

Yoink these prompts

Prompt 1
Set up the Skynet proxy server locally using Node.js and ngrok, and show me how to route an OpenAI assistants API file upload request through it.
Prompt 2
I'm building a chatbot that sends PDF and JSON files to OpenAI's assistants API. Show me how to configure the Skynet proxy so it automatically detects and sets the correct file content types.
Prompt 3
How do I point my existing OpenAI API calls at the Skynet proxy instead of sending them directly to OpenAI, and what headers does the proxy automatically add for me?
Prompt 4
Walk me through deploying the Skynet proxy as a local middleware between my app and OpenAI's file API, including ngrok setup for a public URL.

Frequently asked questions

wtf is skynet?

A lightweight local proxy server that sits between your app and OpenAI's APIs, automatically handling authentication headers, file content types, and request routing so you don't have to manage those details yourself.

Is skynet actively maintained?

Dormant — no commits in 2+ years (last push 2023-11-24).

What license does skynet use?

No license information was provided in the explanation, so the licensing terms for this project are unknown.

How hard is skynet to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is skynet for?

Mainly developer.

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