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Backend Tester

Checked
olehsvyrydov·vlatest·backend·MIT

Automates backend API tests, validates data integrity, and identifies performance bottlenecks using defined test suites.

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 olehsvyrydov/ai-development-team --skill backend-tester --full-depth -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

olehsvyrydov

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 olehsvyrydov/ai-development-team at 19d1164f9e.

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

Scanned
1 file, 315 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

The backend-tester skill allows AI agents to automatically test backend systems. It can execute tests, validate responses against expected outcomes, and report on the success or failure of these tests. This helps ensure the reliability and functionality of backend services without manual intervention.

When to use it

  • Automated Regression Testing: After code deployments to a backend system, run automated tests to verify no regressions were introduced.
  • API Validation: Test newly developed APIs or changes to existing ones to confirm they function as expected.
  • Performance Monitoring: Execute performance-focused tests and validate response times meet defined thresholds.
  • Integration Testing: Verify seamless communication between different backend components.

Key capabilities

  • Test execution
  • Response validation
  • Reporting on test results

Example prompts

  • "Run the 'user_login' integration test suite."
  • "Execute the API endpoint tests for /products and report any failures."
  • "Validate that the get_customer_data endpoint returns a 200 status code and JSON formatted data."

Tips & gotchas

The skill requires access to the backend system under test, including relevant credentials or API keys. Ensure these are securely provided to the AI agent for proper execution.