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Hugging Face vs Open Scholar Skills

Hugging Face is an MCP server published by docker. Marketplaces we read that list it: 1 (Docker MCP Catalog). Open Scholar Skills is a plugin bundle for AI coding tools published by ZhangYGroup (Yongjun Zhang). Marketplaces we read that list it: 1 (Community GitHub marketplaces). As of our marketplace pass on 2026-10-28. This pair was picked by a reader, not by our comparison rule, so search engines are asked not to index the page.

Where each is published

Where each is published
MarketplaceHugging FaceOpen Scholar Skills
Docker MCP Catalog Listed
Version: not stated
No figure published
Not marked · First seen
Not listed
Community marketplace joshzyj/open-scholar-skill Not listed Listed
Version: 5.22.2
Forks (GitHub): 25
Stars (GitHub): 178
Not marked · First seen

Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.

The facts side by side

Hugging Face vs Open Scholar Skills
FactHugging FaceOpen Scholar Skills
Marketplaces that list it11
Stars (GitHub) (differs)No figure on GitHub178
Forks (GitHub) (differs)No figure on GitHub25
Last releaseNot publishedNot published
Where it runs (differs)Remote server (huggingface.co/mcp)Installs as a plugin bundle
Transport (differs)Streamable HTTPNot stated
Tools it declares (differs)4Not published
Environment variables it asks forNot publishedNot published
Licence (differs)Apache-2.0Not stated
Repository (differs)Not statedgithub.com/joshzyj/open-scholar-skill
Changes in the last 7 days (differs)02
First seen (differs)2026-10-112026-10-24
Endpoint at the last check (differs)Responded 6 days agono remote endpoint we check

Lines where the two differ have a tinted background and bold values. Where the data itself says which value is better (more marketplaces, a larger figure of the same marketplace, a fresher release, a verified mark on a marketplace that lists both), the better one is also marked green with ▲ and the worse one red with ▼. Where it runs, the transport, the tools, the settings, hooks, the bundle's parts, the licence and the week's changes are marked only as different: more or fewer is not better in itself.

What each says it does

Hugging Face

In its own words, on Docker MCP Catalog:

Tools for interacting with Hugging Face models, datasets, research papers, and more.

Open Scholar Skills

In its own words, on Community GitHub marketplaces:

The full social-science research pipeline as skills: idea formalization, systematic literature review, theory and hypotheses, research design with power analysis, causal identification, EDA, analysis with publication-quality tables and figures, computational social science, LLM annotation, section-by-section drafting, citation verification, journal formatting, ethics, replication packages, and simulated peer review. Ships specialized reviewer, code-review, and verification subagents, plus a PreToolUse data-safety guard.

How to run each

Hugging Face As a remote MCP server

Claude Code
claude mcp add --transport http hugging-face https://huggingface.co/mcp

Open Scholar Skills As a Claude Code plugin

Claude Code
/plugin marketplace add joshzyj/open-scholar-skill
/plugin install open-scholar-skill@open-scholar

Commands built only from what the marketplaces declare; the full set for every client is on each card.

Only Hugging Face has a remote endpoint we check. How we check endpoints

Tools each declares

Neither the marketplaces of Open Scholar Skills nor its endpoint list any tools, so we do not compare tools.

Settings each asks for

Neither one's marketplaces publish the settings it asks for.

What it can do: Hugging Face · What it can do: Open Scholar Skills · Compare two other plugins

Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. Data comes from public marketplace files in GitHub repositories of their authors. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.

Where the data comes from: how the catalog is built