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Testing

Checked
tartinerlabs·vlatest·testing·MIT

Automates repetitive software tests using AI, identifying bugs and regressions faster via tartinerlabs' advanced algorithms.

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 tartinerlabs/skills --skill testing -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

tartinerlabs

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.

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 tartinerlabs/skills at a7812b928c.

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

Commit
a7812b928c
Manifest
plugins/tooling/skills/testing/SKILL.md
Scanned
8 files, 805 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

Testing by TartinerLabs

What it does

This skill provides a framework for AI agents to execute automated testing workflows, ensuring software reliability through systematic validation. It enables agents to define test cases, run assertions, and generate detailed reports on application performance and stability.

When to use it

  • Regression Verification: Run existing test suites after deploying code changes to prevent breaking updates.
  • CI/CD Integration: Trigger automated checks as part of a continuous deployment pipeline before production release.
  • Quality Assurance: Validate new features against specific requirements or user acceptance criteria.
  • Performance Monitoring: Assess system behavior under load or specific stress conditions.

Key capabilities

  • Automated execution of predefined test scenarios
  • Real-time reporting of pass/fail statuses
  • Integration with standard testing frameworks and protocols
  • Structured output for debugging and analysis

Example prompts

  • "Run the full regression suite on the latest build and summarize any failures."
  • "Execute a smoke test to verify the login functionality is working correctly."
  • "Generate a detailed report of all test results from the last deployment cycle."

Tips & gotchas

Ensure your testing environment matches production configurations to avoid false positives. Limit execution scope during initial runs to reduce resource consumption and speed up feedback loops.