Confusion

Community

Hmbown

confusion

Overview

Publisher	Hmbown
Repository	`Wizards-of-the-Ghosts`
Skill name	`confusion`
Stars	106
Forks	10
Bundled files	Instructions only
License	CC0-1.0
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by Hmbown on GitHub. Read the source before you install it.

Installation

Install the Confusion AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/Hmbown/Wizards-of-the-Ghosts/tree/main/generated/hermes/influence-and-behavior/confusion

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/Hmbown/Wizards-of-the-Ghosts.git /tmp/Wizards-of-the-Ghosts
mkdir -p .claude/skills
cp -r /tmp/Wizards-of-the-Ghosts/generated/hermes/influence-and-behavior/confusion .claude/skills/confusion

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Confusion in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Confusion on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Confusion is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Confusion

Generate controlled chaos to stress-test a system's resilience.

What This Skill Does

Confusion makes targets act randomly and unpredictably. The real-world version is chaos engineering: injecting controlled randomness, unexpected inputs, and edge cases to discover how systems behave when things go wrong. This is fuzzing, monkey testing, and the art of breaking things on purpose so they do not break by accident. In this grimoire, Confusion is treated as a metaphorical spell with a shipping-now delivery profile. Canonical reference input: Confusion (spell).

When To Use

You want to stress-test a system, API, or workflow with unexpected inputs and edge cases.
A process works perfectly under ideal conditions and you need to know how it fails under chaos.
You need to generate adversarial test cases, random inputs, or edge-case scenarios.

Prerequisites

No extra runtime dependencies beyond Hermes Agent and the normal toolset for this session.

Procedure

Restate the target, the success condition, and any no-touch boundaries before taking action.
Identify the system, API, workflow, or process to stress-test.
Generate a set of chaotic inputs: edge cases, malformed data, race conditions, unexpected sequences.
Predict how each chaotic input should be handled (graceful degradation, error, recovery).
Deliver the chaos test suite with expected vs. worst-case outcomes for each scenario.
Package the result as the deliverables below, with confidence, assumptions, and unresolved risk called out explicitly.

Deliverables

A chaos test suite: specific adversarial inputs, edge cases, and unexpected scenarios.
Expected behavior for each scenario: how the system should handle it vs. how it might fail.

Pitfalls / Guardrails

Keep the metaphor anchored to a real mechanism instead of drifting into lore.
Chaos must be controlled. Always define blast radius and rollback procedures before injecting randomness.
Do not generate chaos for production systems without explicit safety gates and authorization.

Verification

Check that the result includes every deliverable promised above.
Check that confirmed facts, assumptions, and inferences are visibly separated.
Check that the metaphor still maps cleanly to a real operational mechanism.

Example Invocation

text
/confusion generate a chaos test suite for this [system/API/workflow]. Give me the edge cases that will break it

Frequently asked questions

What does the Confusion AI skill do?

Why use Confusion on TypingMind?

Because you install it once and use it with any model. Confusion is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Confusion in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Hmbown/Wizards-of-the-Ghosts/tree/main/generated/hermes/influence-and-behavior/confusion. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Confusion?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Confusion?

As many as you like. As long as a model supports skills, you can use Confusion with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Confusion AI skill free?

Yes. It is published on GitHub by Hmbown under the CC0-1.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Continuous Learning V2

affaan-m

CommunityPopular

Sistema de aprendizaje basado en instintos que observa sesiones mediante hooks, crea instintos atómicos con puntuación de confianza y los evoluciona en skills/comandos/agentes. v2.1 agrega instintos…

Continuous Learning

[OBSOLETO - usar continuous-learning-v2] Extractor de skill por hook Stop v1 heredado. v2 es un superconjunto estricto con aprendizaje basado en instintos, con alcance de proyecto y hooks confiables.…

Database Migrations

Buenas prácticas de migración de base de datos para cambios de esquema, migraciones de datos, rollbacks y despliegues de tiempo cero en PostgreSQL, MySQL y ORMs comunes (Prisma, Drizzle, Kysely,…

Deployment Patterns

Flujos de trabajo de despliegue, patrones de pipeline CI/CD, contenedorización Docker, health checks, estrategias de rollback y listas de verificación de preparación para producción de aplicaciones…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Confusion

What This Skill Does

When To Use

Prerequisites

Procedure

Deliverables

Pitfalls / Guardrails

Verification

Example Invocation

Frequently asked questions

Related AI Skills

Set up your own AI workspace now