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Write Unit Tests

Official
tldraw·vlatest·testing

Automatically generate basic unit tests for your tldraw diagrams' logic and functionality.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add tldraw/tldraw --skill write-unit-tests -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

tldraw

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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 tldraw/tldraw at fdd9b4dee0.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
fdd9b4dee0
Manifest
skills/write-unit-tests/SKILL.md
Scanned
1 file, 60 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to generate unit tests specifically tailored for the tldraw application. It automates the creation of test cases that verify core drawing and editing functionalities within the tldraw codebase, ensuring reliability during development cycles.

When to use it

  • You need to validate new features added to the tldraw editor without manually writing test files.
  • You want to maintain a comprehensive test suite for the tldraw repository as you refactor existing drawing logic.
  • You are setting up a CI/CD pipeline to automatically check for regressions in tldraw's core rendering engine.

Key capabilities

  • Generates unit tests specifically for the tldraw project structure.
  • Covers drawing operations, state management, and UI interactions within the tldraw app.
  • Produces code compatible with the existing testing framework used by the tldraw team.

Example prompts

  • "Generate a unit test suite for the new shape resizing feature in tldraw."
  • "Write tests to verify that the tldraw editor correctly handles undo and redo operations."
  • "Create unit tests for the tldraw selection logic to ensure multi-select works as expected."

Tips & gotchas

Ensure your AI agent has access to the latest tldraw source code or a local clone of the repository, as generated tests rely on specific internal APIs and component structures. Always review generated tests against the actual tldraw behavior, as AI may hallucinate method names if the underlying codebase has recently changed.