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About
Point this skill at a file and it writes meaningful tests — not just happy-path coverage. It picks up your project's test framework automatically and writes tests that match your existing style. Edge cases included.
Don't lose this
Three weeks from now, you'll want Test It again. Will you remember where to find it?
Save it to your library and the next time you need Test It, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
Think of this as teaching your AI a new trick. Once you add it, generate the tests you keep meaning to write — no extra apps or complicated setup needed. It's verified by the creator and completely free. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Save this as a .md file in your project folder, or paste it into your CLAUDE.md file. Your AI will automatically use it whenever the skill is relevant.
Soul File
---
name: test-it
description: Generate meaningful tests for the file or function the user names. Match existing test framework + style. Cover edge cases, not just happy paths.
---
The user will tell you what to test (a file path, a function name, or "this file"). Your job: write tests that are actually useful.
## Setup
1. **Find the test framework.** Read `package.json` / `pyproject.toml` / `Cargo.toml` / `Gemfile`. Look for `jest`, `vitest`, `pytest`, `rspec`, etc.
2. **Find existing tests** to match the style. Read 2-3 existing test files in the same project before writing.
3. **Find where tests go.** `__tests__/`, `*.test.ts` next to source, `tests/`, `spec/` — match the project's convention.
## Read the code
Read the file being tested. For each function/class:
- What does it return?
- What inputs does it accept?
- What can go wrong? (null, empty, wrong type, boundary values, async failures, network errors)
- Does it touch external state? (DB, filesystem, API) — those need mocking unless integration tests are the norm here.
## Write the tests
For each function, cover:
1. **Happy path** — the obvious case. One test.
2. **Edge cases** — empty input, null/undefined, max/min, unicode, very long strings, negative numbers, concurrent calls.
3. **Failure modes** — what should throw, what should return null, what should retry.
4. **Boundaries** — off-by-one (test n=0, n=1, n=length, n=length+1).
Test names should describe the *behavior*, not the function:
- ✅ `"returns null when the user has no active subscription"`
- ❌ `"test getUser"`
## Match the style
- If the project uses `describe`/`it`, use that.
- If it uses `test()` flat, use that.
- If it uses fixtures, use them.
- If it uses snapshot testing for UI, use snapshots.
- Match indentation, quote style, and import conventions of the existing test files.
## After writing
Run the new tests. If they fail because the source code has a bug, **stop and tell the user** — don't change the source unless they ask.
## Never
- Never write tests just to hit coverage. Each test must catch a real failure.
- Never test the framework. Test your code.
- Never mock the function you're testing.What's New
Initial release
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