Skip to content
TrustedSkillsbeta
Back to all skills

Testing Python

Listed
herklos·vlatest·backend

Helps with testing, Python as part of developing backend services and APIs workflows.

Install on your platform

This skill no longer installs under the name testing-python. herklos/octobot-stack-vs-workspace is deleted or private, so it cannot be installed from.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

herklos

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.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. repository not found or private Source recorded as herklos/octobot-stack-vs-workspace.
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 an AI agent to execute Python code and verify test results. It can run provided Python scripts, check for expected outputs based on assertions within the script, and report pass or fail status. This enables automated testing of Python-based applications and components directly from within the AI agent's workflow.

When to use it

  • Automated Unit Testing: Run unit tests against a Python module after code changes to ensure functionality remains intact.
  • Integration Testing: Verify interactions between different parts of a system by running integration tests written in Python.
  • Code Quality Checks: Execute scripts that perform static analysis or linting on Python code and report any issues found.
  • Regression Testing: Repeatedly run existing test suites to ensure new changes haven't introduced regressions.

Key capabilities

  • Executes Python code snippets.
  • Supports assertions within the Python code for result verification.
  • Reports pass/fail status of tests.
  • Provides output from executed Python scripts.

Example prompts

  • "Run this Python script: print('Hello, world!') and tell me if it executes successfully."
  • "Execute this test suite and report the results: [script content]"
  • "Can you run this python code and check if the assertion passes?"

Tips & gotchas

  • The skill requires a Python environment to be available for execution. Ensure that necessary dependencies are installed before running tests.