Rich Skill

Organization

agent-ecosystem

rich-skill

A skill with code blocks and imperative instructions for testing content and contamination analysis.

Overview

Publisher	agent-ecosystem
Repository	`skill-validator`
Skill name	`rich-skill`
Stars	260
Forks	32
Bundled files	Instructions only
License	MIT
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 agent-ecosystem on GitHub. Read the source before you install it.

Installation

Install the Rich Skill 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.
https://github.com/agent-ecosystem/skill-validator/tree/main/testdata/rich-skill
Enable the skill in any chat where you want it available.

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/agent-ecosystem/skill-validator.git /tmp/skill-validator
mkdir -p .claude/skills
cp -r /tmp/skill-validator/testdata/rich-skill .claude/skills/rich-skill

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

Use it in TypingMind

Enable Rich Skill 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 Rich Skill 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 Rich Skill 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.

Rich Skill

You must always follow these instructions. Never skip validation steps.

Setup

Use the CLI to configure your environment. Install the required dependencies.

bash
npm install mongodb
pip install pymongo

javascript
const { MongoClient } = require('mongodb');
const client = new MongoClient('mongodb://localhost:27017');

python
from pymongo import MongoClient
client = MongoClient('mongodb://localhost:27017')

Usage

Create a new database connection. Ensure the connection string is valid. Run the tests before deploying. Check that all queries return expected results.

Step 1: Configure the connection
Step 2: Run migrations
Step 3: Validate the schema
Step 4: Deploy

Configuration

Set the following environment variables. You may consider using a .env file. It could simplify local development. This is optional but suggested.

yaml
database:
  host: localhost
  port: 27017

Build the project with Node.js or Django depending on your stack.

Frequently asked questions

What does the Rich Skill AI skill do?

A skill with code blocks and imperative instructions for testing content and contamination analysis.

Why use Rich Skill on TypingMind?

Because you install it once and use it with any model. Rich Skill 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 Rich Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/agent-ecosystem/skill-validator/tree/main/testdata/rich-skill. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Rich Skill?

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 Rich Skill?

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

Is the Rich Skill AI skill free?

Yes. It is published on GitHub by agent-ecosystem under the MIT 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.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Rich Skill

Setup

Usage

Configuration

Frequently asked questions

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