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Run Python Tests

Checked
redisearch·vlatest·backend

Automates Redisearch module testing via Python scripts, ensuring code quality and functionality within the backend.

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 redisearch/redisearch --skill run-python-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

redisearch

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 redisearch/redisearch at c8f9d94e77.

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

Commit
c8f9d94e77
Manifest
.skills/run-python-tests/SKILL.md
Scanned
1 file, 86 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 allows AI agents to execute Python tests and retrieve their results. It can run test files or individual test functions, providing feedback on code quality and functionality directly within the agent's workflow. The output includes pass/fail status and any error messages generated during execution.

When to use it

  • Automated Code Validation: Integrate testing into a development pipeline to ensure changes don’t introduce regressions.
  • Debugging Assistance: Quickly execute specific test cases when troubleshooting code issues within the agent's environment.
  • Continuous Integration: Run tests automatically after code modifications or deployments.
  • Educational Purposes: Demonstrate and verify Python code snippets in a controlled testing environment.

Key capabilities

  • Execute Python test files.
  • Run individual test functions.
  • Retrieve pass/fail status of tests.
  • Capture and report error messages from test execution.

Example prompts

  • "Run the tests in my_project/tests/test_api.py."
  • "Execute the test_login function in user_management/tests/test_users.py."
  • “Can you run this code and tell me if it passes: [code snippet with test cases]”

Tips & gotchas

  • The agent needs access to the Python environment where the tests are located. Ensure all necessary dependencies are installed.