Open-source project
arifszn/gitprofile avatar
arifszn/gitprofile

gitprofile: a build-time GitHub fetcher that a coding agent is told to install from a raw URL

🚀 Create and publish a GitHub-synced portfolio by just providing your GitHub username.

2,320 stars2,159 forksTypeScriptMIT

At a glance

What is it?
A portfolio template where the data is pulled at build time, the deployment contract is fork, rename and enable workflows, and the install instructions live in a markdown file on a branch, which the README asks you to hand to an agent so it can set up and deploy for you.
Who is it for?
Adopt gitprofile if you want a portfolio generated from your GitHub activity and are willing to accept that it is a build-time snapshot rather than a live feed, because the HTTP client is a development dependency, which means the fetches happen while the site is built and the site's freshness is bounded by your last commit. Do not adopt it if you need a blog you post to, a CMS, or anything that renders per visitor, because there is no server.
Can I use it commercially?
Yes. MIT is a permissive licence: you can use, modify and sell software built on it, as long as you keep its copyright and licence notices.
Is it still maintained?
Yes. The repository last received commits 41 days ago.
What is it written in?
Mainly TypeScript, according to GitHub's language statistics.

Answers come from the project's GitHub data, last synced on October 11, 2026, and from our analysis. They are not legal advice.

Editorial analysis

The GitHub data is fetched during the build, not at request time

The dependency list is the fastest way to understand the architecture, and one entry is out of place in an instructive way. There are two runtime dependencies, React and its DOM package, and there is no HTTP client among them. The HTTP client, axios, sits in the development dependencies. So the calls to the GitHub API happen while the site is being built, and what gets published to GitHub Pages is a finished static bundle with no server behind it. That single fact explains most of the project's behaviour. It explains why deploying is described as committing and waiting: there is nothing to run after the build. It explains why the site is called GitHub-synced and also why its freshness is bounded by your last commit rather than by the time of the visit. And it moves a real constraint into your build pipeline: your deployment depends on the GitHub API being reachable and not rate limited at the moment you push, so a build can fail for a reason that has nothing to do with your change. If you wanted a portfolio that reflected your activity live, this architecture is the wrong shape and no configuration will fix it. If you wanted a site that costs nothing to host and never goes down because a free API tier changed, it is exactly right.

One config value decides where your site lives, and it is easy to get wrong

There is a single value in a configuration file that determines every asset path in the build, and the README spends more words on it than on anything else. The value is called base inside the configuration file, and the file is a TypeScript module at the repository root. The two cases are the two ways you can name a fork. If you renamed the fork to your user site address, so that it serves from the root of your domain, base is a single slash. If you named the fork something else and want the site served from a subdirectory, base is a slash, the repository name, and another slash. The configuration is a plain object literal, which is why the README can show it in three lines. Get it wrong and the symptom is a page that loads and renders nothing, because the HTML is served but the asset paths point somewhere that does not exist. The README anticipates this twice, once in the deployment section and once as a separate note for a specific hosting service, and it names the two things to check: the base value and whether the Pages source is set to GitHub Actions rather than a branch. A third consequence is quieter. The local development instructions tell you to visit a path that includes the repository name, so the dev server is serving at that subpath by default, and if you change base you will notice it immediately because the local path moves too. That is a small mercy, because it means the one value that breaks production is visible before you deploy.

Thirty-six themes, and eight content sections that are the actual work

The feature list leads with the theme count, thirty-six, and that is the number a visitor will notice. The rest of the list is the part that decides whether the template is worth forking. There is an avatar and bio block, a social links block, and then six content sections: skills, experience, certifications, education, projects and publications, plus a blog posts section. So the project is a set of seven structured content blocks rendered from a configuration file, wrapped in a theme. Two things follow. First, the sections are the work, and the theme is the packaging; a portfolio that lists certifications and publications needs data typed into a config file, and no theme changes that. Second, the topics attached to the repository explain where this template is aimed: among roughly twenty-five topic tags, the majority are variations on the words portfolio, personal site and personal website, and there is a cluster specifically about academic portfolios. That is a search-visibility strategy rather than a description of the software, and it is worth naming because it tells you who the author expects to use it. An academic with a publication list and a set of certifications is the ideal user, since that is exactly the person whose professional record lives in a system this template can read and who does not want to maintain a website by hand. For anyone whose work is not on GitHub, the fetch model is a poor fit however good the theme looks.

Fork, rename, enable workflows: the deployment contract in three steps

The recommended path is a fork and three settings changes, and it is worth reading closely because it tells you exactly what you inherit. You fork the repository, so you get a copy under your own account. You rename it, either to your user site address if you want the site at the root of your domain, or to a name of your choosing if you want it on a subpath. And you enable workflows in the Actions tab, which is a step that forks disable by default. That third step is the entire deployment pipeline: enabling it is what allows a commit to publish. After that, every commit to the main branch updates the site, and the README says to watch the Actions tab while the first one runs. Two supporting details are useful. If you want a custom domain, the README says no configuration file is needed and you add it in the Pages settings, so the domain is a repository setting rather than a file in the tree. And because this is a Vite project, the same build output can go to other static hosts, with a note that one particular host needs the base value set to a single slash because it serves from the root. So the deployment surface is deliberately narrow: one workflow, one branch, one config value. The consequence is that there is no staging environment and no preview, which for a personal site is a reasonable trade and for anything else would be the first thing to change.

The documented install route is a raw markdown URL handed to a coding agent

The third way to use this project is the one that deserves scrutiny. The README has a section offering to let a coding agent do the setup, naming several agent tools by name and then instructing you to paste a prompt. The prompt is a fetch instruction pointing at a raw file on the repository's main branch:

bash
Fetch and follow the install instructions from
https://raw.githubusercontent.com/arifszn/gitprofile/refs/heads/main/INSTALL.md

The design is coherent. The repository root contains an install file, a file aimed at a specific agent tool, and a general agent instruction file, so the project is explicitly built to be read by an agent rather than only by a person, and the agent can fork, fill in the details and deploy without a human in the loop. The trust question is the obvious one and it is worth being concrete rather than squeamish. You are instructing an autonomous tool to retrieve a document from a branch and do whatever that document says, including pushing to a repository and deploying a site. That document is not version pinned in the prompt, so its contents can change at any time without your review, and the branch named in the URL is the same one your own fork is tracking. The mitigation is simple and does not require giving up the feature: open the install file yourself in a browser, read what it instructs, and then paste it to the agent with your own framing. You keep the convenience and you know what has been authorised. The same caution applies with less force to the two agent instruction files in the repository, which are read by tools rather than executed, and which are worth a skim before you work in the repository.

Three development dependencies are published by the template's own author

This is a portfolio template whose entire adoption model is fork and commit to a domain you control, so its dependency list deserves more attention than a dependency list usually gets. The runtime surface is two packages, both from React. The development surface is around thirty, and three of them are published by the same author. The package itself is scoped to a personal namespace rather than left unscoped. One development dependency is a blog library in that same namespace, and another is a local development tool in that same namespace, which the README also offers as the Docker route for running the project. So a fork runs code from three packages by one person, at floating version ranges, and the container image is built from a file that one of those packages ships. That last point deserves spelling out because it is easy to miss. The compose file in the repository does not have a Dockerfile; its build section points at a Dockerfile inside a directory in the installed dependencies, with a build argument for the Node version. So the image you build locally is assembled from a base definition that arrived inside a package you installed, and the compose file's own version key is a field that modern tooling ignores. None of this makes the project unsafe and none of it is concealed. It is a fork-and-deploy template maintained by an individual, the dependencies are visible, the versions are inspectable, and nothing is fetched at build time that you did not choose. It does mean that a reader should know the shape of what they are adopting, and that the answer to is this template maintained is partly answered by the activity of three npm packages.

Editorial conclusion

Adopt gitprofile if you want a portfolio generated from your GitHub activity and are willing to accept that it is a build-time snapshot rather than a live feed, because the HTTP client is a development dependency, which means the fetches happen while the site is built and the site's freshness is bounded by your last commit. Do not adopt it if you need a blog you post to, a CMS, or anything that renders per visitor, because there is no server. Two things to check before you fork it. Read the install instructions file yourself before you let an agent act on it, since the documented route is to tell a coding agent to fetch a raw file from a branch and follow whatever it says, and that content is not version pinned. And read the dependency list with the same care, because three of the development dependencies are published by the template's own author, which for a repository whose entire pitch is fork and commit is a supply-chain decision you are making about your own domain.

Frequently asked questions

How do I set up and deploy gitprofile?

Fork the repository, rename the fork to either your user site address or a name of your choosing, and enable workflows in the Actions tab. Then set the base value in gitprofile.config.ts to a single slash for a root deployment or to a slash with the repository name for a subpath, commit to main, and the pipeline publishes to GitHub Pages.

Does gitprofile fetch GitHub data at build time or when someone visits?

At build time. The HTTP client is listed among the development dependencies rather than the runtime dependencies, so the API calls happen while the site is built and the published site is static. Freshness is therefore bounded by your last commit, and a build can fail if the GitHub API is unreachable or rate limited at push time.

What is the local development setup for gitprofile?

Node.js 20 or later. Clone the repository, change directory, run npm install, then npm run dev, and visit the path on the local port that includes the repository name. A Docker route is also offered using Vail, a local development tool for JavaScript and TypeScript projects by the same author.

What does the gitprofile install instruction ask a coding agent to do?

It asks you to tell an agent to fetch the install instructions from a raw file on the repository's main branch and follow them, after which the agent can fork the repository, fill in your details and deploy. The file is not version pinned in the prompt, so read it yourself before letting an agent act on it.

What content sections does the gitprofile template support?

An avatar and bio, social links, and sections for skills, experience, certifications, education, projects, publications and blog posts, across thirty-six themes. The repository topics lean heavily toward academic portfolios and publication lists.

Official sources

  1. arifszn/gitprofile on GitHub
  2. License: MIT
  3. Project website
  4. README
  5. Releases
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