Scaffold Tests

Community

krishnakanthb13

scaffold_tests

Generates unit and regression test files for existing code. Creates "Happy Path", "Edge Case", and "Error" test stubs.

Overview

Publisher	krishnakanthb13
Repository	`antigravity_global_skills`
Skill name	`scaffold_tests`
Stars	66
Forks	11
Bundled files	Instructions only
Links	Skill source Repository Homepage

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 krishnakanthb13 on GitHub. Read the source before you install it.

Installation

Install the Scaffold Tests 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/krishnakanthb13/antigravity_global_skills/tree/main/scaffold_tests
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/krishnakanthb13/antigravity_global_skills.git /tmp/antigravity_global_skills
mkdir -p .claude/skills
cp -r /tmp/antigravity_global_skills/scaffold_tests .claude/skills/scaffold_tests

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

Use it in TypingMind

Enable Scaffold Tests 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 Scaffold Tests 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 Scaffold Tests 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.

Scaffold Tests

Use this skill to automatically generate test suites for your code, ensuring functionality is locked in.

Inputs

Target File: The source code specific to test.
Test Runner: (Optional) Jest, Pytest, etc.

Tooling Strategy

Use view_file to analyze the source code.
Use write_to_file to create the test file.

Workflow

1. Context Analysis

Target: Analyze the open file or the specified module (e.g., utils.py, auth.js).
Framework Detection: Determine the project's test runner (Jest, PyTest, Mocha, Unittest). If none, suggest the most lightweight option suitable for the user's legacy hardware.

2. Test Strategy

Plan the test coverage:

Unit Tests: Isolated tests for individual functions/classes.
Regression Tests: Tests that ensure specific bugs (fixes) don't reappear.
Naming Convention: Standardize names (e.g., [filename].test.js or test_[filename].py).

3. Generation (The "Safety Net")

Write the test file with three specific sections:

Happy Path: Standard inputs produce standard outputs (The "It works" check).
Edge Cases: Nulls, empty strings, zeros, huge numbers (The "Robustness" check).
Error Handling: Invalid inputs trigger the expected error messages (The "Security" check).

4. Output

Save the file to a tests/ directory or alongside the source code (based on project convention).
Prompt the user to run them using /run_tests.

Advanced Testing Patterns

Test-Driven Development (TDD): Write failing test FIRST, implement minimal code to pass, refactor after green. Never write production code without a failing test.
Behavior-Driven Testing: Test behavior, not implementation details. Focus on public APIs and business requirements. Use descriptive test names that describe the behavior.
Factory Pattern: When scaffolding tests, create data factory functions (e.g., getMockUser(overrides)) that provide sensible defaults but allow tests to override specific properties. This keeps tests DRY and maintainable.
Mocking Strategies: Use factory functions to mock entire modules or specific hooks when scaffolding tests to isolate the unit under test.

Frequently asked questions

What does the Scaffold Tests AI skill do?

Generates unit and regression test files for existing code. Creates "Happy Path", "Edge Case", and "Error" test stubs.

Why use Scaffold Tests on TypingMind?

Because you install it once and use it with any model. Scaffold Tests 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 Scaffold Tests in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/krishnakanthb13/antigravity_global_skills/tree/main/scaffold_tests. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Scaffold Tests?

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 Scaffold Tests?

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

Is the Scaffold Tests AI skill free?

It is published on GitHub by krishnakanthb13. Check the repository for licensing terms. 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

Scaffold Tests

Inputs

Tooling Strategy

Workflow

1. Context Analysis

2. Test Strategy

3. Generation (The "Safety Net")

4. Output

Advanced Testing Patterns

Frequently asked questions

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