0xdevalias/skynet — explained in plain English
Analysis updated 2026-07-30 · repo last pushed 2023-11-24
Build a chatbot that uploads documents to OpenAI for analysis without manually coding file content types.
Offload repetitive authentication header management when integrating with OpenAI's assistants API.
Route multiple OpenAI API requests through a single local proxy that handles beta flags and headers automatically.
| 0xdevalias/skynet | 00kaku/gallery-slider-block | 04amanrajj/netwatch | |
|---|---|---|---|
| Stars | — | — | 0 |
| Language | — | JavaScript | Rust |
| Last pushed | 2023-11-24 | 2021-05-19 | — |
| Maintenance | Dormant | Dormant | — |
| Setup difficulty | moderate | easy | moderate |
| Complexity | 2/5 | 2/5 | 3/5 |
| Audience | developer | general | ops devops |
Figures from each repo's GitHub metadata at analysis time.
Requires Node.js and ngrok installed to create a public URL for the local proxy server.
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.
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.
Dormant — no commits in 2+ years (last push 2023-11-24).
No license information was provided in the explanation, so the licensing terms for this project are unknown.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
double-check against the repo, no cap.