Agent Discoverability

debuff

Make and play 2D web games

View in the ChatGPT registry
Brand
debuff
Primary Subcategory
Pending
Integration details

Description

debuff is a free, open-source toolkit for small, polished 2D web games. Ask for a game and get a link that runs it in your browser next to its code, with nothing to install. Start a real project from a platformer, top-down adventure or match-3 starter, or get answers from the debuff guides and API reference. The app only reads public documentation and makes links. It can't see your files or accounts, and playground code travels inside the link, so nothing is stored.

Integration type
Plugin
Verification status
Not applicable
Platform
ChatGPT
Category
Consumer & Lifestyle

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Pending

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Brand
debuff
Access
No account required
First tracked
2026-11-03
Tool count
5
Market
US
Agent DiscoverabilityChatGPT Plugin Discovery Score
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ChatGPT now suggests Plugins on its own when they match a user's request.Your Plugin Discovery Score measures how often yours appears, and it will show here as soon as it’s ready.

What discovery looks like

ChatGPT recommends Airtable when a user asks it to update a CRM.
ChatGPT surfaces Airtable because it matches the user's request.

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Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce debuff has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.
Tools

5 tools agents can invoke

Recommended guideHow to get your ChatGPT Plugin suggestedFollow the practical steps agents use to find, shortlist, and choose your Plugin.Read guide
FAQs

debuff ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology
How do I improve debuff's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.