chat-brain-check

Validate chat pipeline invariants and SSE flow to prevent state drift.

36|4|Updated Feb 11, 2026
One-click install
npx skills add https://github.com/xg-gh-25/SwarmAI --skill chat-brain-check
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: chat-brain-check
Source: https://github.com/xg-gh-25/SwarmAI/tree/main/backend/skills/s_chat-brain-check
Command: npx skills add https://github.com/xg-gh-25/SwarmAI --skill chat-brain-check

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides structured validation for chat experiences by enforcing quick checks after changes and comprehensive audits before releases, reducing regressions and drift in chat state.

Core Features & Use Cases

  • Quick Check: fast automated tests and invariant scans for immediate feedback after each change.
  • Full Audit: thorough scenario traces and regression coverage to ensure release readiness.
  • SSE & Invariants: safeguards for streaming pipelines and state-machine correctness across backend and frontend.
  • Use Case: teams can ship chat features with confidence, knowing there is an automated gate before deployment.

Quick Start

Run a quick check after every chat-related change, and schedule a full audit before major releases.

Frequently Asked Questions about chat-brain-check

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

FAQPage Schema
How do I validate chat SSE flow to prevent state drift during runtime?

To prevent chat state drift, run quick automated invariant scans after each change and schedule full scenario audits before releases. This tiered validation approach enforces deterministic gates and test suites to ensure safe rollback and reproducibility.

What is the difference between a quick check and a full audit for chat release validation?

A quick check runs fast automated tests and invariant scans for immediate feedback after code changes, whereas a full audit performs thorough scenario traces and regression coverage to verify release readiness before deployment.

How do I set up deterministic gates for a chat pipeline audit?

Set up deterministic gates by applying auditable rules to backend chat components and frontend streaming. These gates enforce quick checks after changes and full audits before releases to validate state-machine correctness and SSE flow for safe rollback.

Does chat validation work with both backend components and frontend streaming?

Yes, chat validation covers both backend chat components and frontend streaming. It safeguards SSE pipelines and enforces state-machine correctness across the stack to reduce regressions and ensure invariants hold during runtime.

When should I run a full chat audit instead of a quick check?

Run a full chat audit before major releases to ensure release readiness through thorough scenario traces and regression coverage. Use quick checks for fast automated testing and invariant scans immediately after each individual code change.