Testing
CheckedAutomates repetitive software test cases, identifies regressions, and generates reports using AI-driven analysis.
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 mindrally/skills --skill testing -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
mindrally
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 mindrally/skills at 7682ca7771.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 7682ca7771
- Manifest
- testing/SKILL.md
- Scanned
- 1 file, 52 lines
About this skill
What it does
This skill equips AI agents with expertise in software testing best practices. It guides the agent to write, review, and discuss tests effectively by applying principles of unit testing, test organization, isolation, data management, comprehensive coverage, code quality within tests, and clear assertions. The skill emphasizes writing table-driven tests, mocking external interfaces, and ensuring adequate test coverage for exported functions.
When to use it
- When needing help crafting effective unit tests using table-driven patterns.
- For reviewing existing test suites and identifying areas for improvement in organization or clarity.
- To ensure comprehensive test coverage, including edge cases and error conditions.
- When seeking guidance on writing clear and readable assertions within tests.
Key capabilities
- Provides expert advice on software testing best practices.
- Guides the creation of unit tests with table-driven patterns and parallel execution.
- Emphasizes mocking external interfaces for clean isolation.
- Promotes descriptive test names and logical organization mirroring source file structure.
- Focuses on independent tests, fixture usage, and minimal test data setup.
Example prompts
- "Write a unit test using a table-driven pattern to verify this function."
- "Review this existing test suite and suggest improvements for clarity and coverage."
- "How can I best mock the external API call in my integration test?"
Tips & gotchas
- The skill assumes familiarity with basic testing concepts.
- It focuses on best practices, not generating tests directly; it provides guidance to improve existing or planned tests.
- Pay attention to the emphasis on independent tests and clean state management for reliable results.