teapot-protocol

Enforce brewing compliance checks and automatic remediation for Supreme Commander responses.

Updated Mar 31, 2026

Search Tags:#validation #ai #compliance #protocol #response #brewing

Ready to run

npx skills add https://github.com/shellicar/skills --skill teapot-protocol

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: teapot-protocol
Source: https://github.com/shellicar/skills/tree/main/skills/teapot-protocol
Command: npx skills add https://github.com/shellicar/skills --skill teapot-protocol

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It prevents response drift and protocol violations by enforcing a structured brewing cycle for every interaction with the Supreme Commander.

Core Features & Use Cases

Brewing Marker: Begin each response with 🫖 Brewing. to signal compliance mode.
Compliance Check: Verify address forms, skill loading, and step order before completing the response.
Automatic Remediation: If a violation is found, output 🫖 Still brewing., explain the issue, and repeat until compliant, then finish with ☕ Served.
Use Case: When tasked with generating code or updates, the skill ensures all required steps are followed, reducing errors and maintaining authority.

Quick Start

Begin every reply with 🫖 Brewing., follow the protocol steps, and end with ☕ Served. when all checks pass.

Frequently Asked Questions about teapot-protocol

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I prevent AI response drift and protocol violations during interactions?▼

To prevent AI response drift, enforce a structured brewing compliance cycle that applies address form verification, skill loading checks, and step-by-step validation during every interaction to ensure protocol compliance.

What is the brewing compliance cycle for AI response validation?▼

The brewing compliance cycle is a validation protocol that enforces step-by-step verification for AI responses. It requires beginning with a brewing marker, running compliance checks, and automatically remediating detected violations until output is served.

How do I enforce compliance checks and automatic remediation for AI responses?▼

Enforce compliance checks by starting responses with a brewing marker, verifying address forms and skill loading, then triggering automatic remediation that repeats explanations for any detected violation until all checks pass and output is served.

Can I use the brewing protocol to verify skill loading and address forms automatically?▼

Yes, the brewing protocol verifies skill loading and address forms automatically before completing any response. It checks step order and required formats, then remediates violations by repeating the cycle until full compliance is achieved.

Why does my AI response fail compliance checks and require repeated remediation?▼

AI responses fail compliance checks when protocol violations like incorrect address forms, missing skill loading, or wrong step order are detected. The system outputs a still brewing marker, explains the issue, and repeats until compliant.

What are the limitations of enforcing a brewing cycle for every AI response?▼

Enforcing a brewing cycle for every AI response requires strict adherence to output markers and step-by-step verification, which adds overhead to each interaction but ensures no protocol violations or response drift occurs before serving output.