Unit Test Writer
CheckedAutomatically generates Python unit tests based on function signatures and docstrings for rapid code validation.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add matteocervelli/llms --skill unit-test-writer --full-depth -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
matteocervelli
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned matteocervelli/llms at 1e1f2089eb.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 1e1f2089eb
- Scanned
- 1 file, 709 lines
About this skill
What it does
This skill generates unit tests for provided code snippets. It aims to create comprehensive test suites, including edge cases and boundary conditions, to ensure code quality and reliability. The generated tests are designed to be easily integrated into existing testing frameworks.
When to use it
- Automated Testing: Quickly generate a baseline set of unit tests when starting development on a new software component.
- Code Refactoring: Create tests after refactoring existing code to verify functionality remains unchanged.
- Legacy Code Coverage: Generate initial test coverage for older codebases lacking automated testing.
- Learning and Examples: Understand how to write unit tests by examining the generated examples.
Key capabilities
- Generates unit tests from code snippets.
- Supports various programming languages (unspecified).
- Creates comprehensive test suites, including edge cases.
- Designed for integration with existing testing frameworks.
Example prompts
- "Write unit tests for this Python function:
def add(a, b): return a + b" - "Generate unit tests in JavaScript for the following code:
function calculateArea(width, height) { return width * height; }" - “Create a test suite for this Java class: [paste class definition here]”
Tips & gotchas
The quality of generated tests depends heavily on the clarity and completeness of the provided code. Review the generated tests carefully and adapt them to your specific testing needs.