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drafted-learn vs 顏回 YanHui Debug AI

drafted-learn is a plugin bundle for AI coding tools published by draftedlabs. Marketplaces we read that list it: 1 (Claude Code: claude-plugins-community). 顏回 YanHui Debug AI is an MCP server published by sstklen. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-13. 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
Marketplacedrafted-learn顏回 YanHui Debug AI
Claude Code: claude-plugins-community Listed
Version: 1.0.0
Forks (GitHub): 0
Stars (GitHub): 1
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 2.2.0
No figure published
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

drafted-learn vs 顏回 YanHui Debug AI
Factdrafted-learn顏回 YanHui Debug AI
Marketplaces that list it11
Stars (GitHub) (differs)1No figure on GitHub
Forks (GitHub) (differs)0No figure on GitHub
Last releaseNot publishedNot published
Where it runs (differs)Installs as a plugin bundleRemote server (api.washinmura.jp/mcp/debug/%7Blobster_id%7D)
Transport (differs)Not statedStreamable HTTP
Tools it declaresNot publishedNot published
Environment variables it asks forNot publishedNot published
Hooks it runs (differs)1Not published
Parts of the bundle (differs)1Not a bundle
Licence (differs)MITNot stated
Repository (differs)github.com/draftedlabs/drafted-learngithub.com/sstklen/yanhui-ci
Changes in the last 7 days00
First seen2026-10-112026-10-11
Endpoint at the last check (differs)no remote endpoint we checkAnswered with HTTP 404 (29 h ago)

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

drafted-learn

In its own words, on Claude Code: claude-plugins-community:

Displays an AI/ML fact in your terminal every time you submit a prompt to Claude. Covers 94 facts across 8 categories — tokenization, transformers, RLHF, agent architecture, training data, ethics, and more — rotating randomly so you learn passively while Claude is thinking. Zero extra time required. Built by Drafted Labs for university students entering the AI field.

顏回 YanHui Debug AI

In its own words, on Official MCP Registry:

Debug AI with shared KB. One bug fixed = everyone benefits. KB hit 4ms free, new analysis $0.05.

How to run each

drafted-learn As a Claude Code plugin

Claude Code
/plugin marketplace add anthropics/claude-plugins-community
/plugin install drafted-learn@claude-community

顏回 YanHui Debug AI

No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.

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

Only 顏回 YanHui Debug AI has a remote endpoint we check. How we check endpoints

Tools each declares

Neither one's marketplaces publish a list of tools, so there is nothing to compare.

Settings each asks for

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

What it can do: drafted-learn · What it can do: 顏回 YanHui Debug AI · Compare two other plugins

Data comes from the public marketplace file https://github.com/anthropics/claude-plugins-community/blob/HEAD/.claude-plugin/marketplace.json. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. 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