Agent
Discoverability

Caveat

Decide with caveats attached

View in the ChatGPT registry
Integration details

Description

A practice for working with caveats, drawn from the Caveatist Archive. Mark what kind of statement you are adding (observed, tested, proposed, analogy, mythological, rejected, unresolved); state grounds separately from everything that influenced you; ask what changes if a caveat is true; decide with the unresolved caveats written into the decision; withdraw rather than erase. Each decision or review ends with a fixed record: the decision, its grounds, the caveats it retains, those not pursued, any withdrawals and what would reopen it; the skill includes a worked example. It works in prose. The plugin also connects the hosted Caveat MCP server, whose five read-only tools validate, check, test, explain and trace Caveat programs sent inline; it keeps nothing between requests. When the caveat-lang runtime is installed, it records the decision in a Caveat program instead, where explain prints what each decision rests on and dependents answers what changes if evidence is wrong. Culture, not contract: it changes how you work, not what any runtime does, and it is corrigible. Mr. Caveat, the mechanical fortune teller on the icon, is not an authority.

Integration type
Plugin
Verification status
Not applicable
Platform
ChatGPT
Category
Developer Tools

The broad Category that contains the Primary Subcategory.

Primary Subcategory
AI Agent Builders & Deployment Platforms

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

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Brand
Caveat
Access
No account required
First tracked
2026-10-20
Tool count
5
Geography
US
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Primary Subcategory
Listed in alphabetical order
Primary Subcategory
Agentic Atlas0/100
AgentplaceComing soonGet notified
Autosheet0/100
Botpress0/100
Brainbase MCP0/100
CaveatComing soonGet notified
Tools

5 tools agents can invoke

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FAQs

Caveat ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology
How do I improve Caveat'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.

What are Caveat alternatives on ChatGPT?

As of 2026-10-20, Caveat competes with Agentic Atlas, Autosheet, Botpress, Brainbase MCP, Camber, camelBots, camelRun, Cloud Environments and 31 more in ChatGPT AI Agent Builders & Deployment Platforms, ranked by public Discoverability Score.

Where is this profile measured?

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