Skip to content
TrustedSkillsbeta
Back to all skills

Prompt Regression Tester

Listed
monkey1sai·vlatest·ai-ml

This tool analyzes prompts for consistency across multiple generations, ensuring stable and predictable AI outputs – vital for reliable workflows.

Install on your platform

This skill no longer installs under the name prompt-regression-tester. monkey1sai/openai-cli 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

monkey1sai

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 monkey1sai/openai-cli.
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 you to test and compare AI agent responses across different prompts. It helps identify regressions in performance, ensuring that changes to models or prompt engineering don't negatively impact desired outcomes. The tool facilitates a systematic approach to evaluating prompt effectiveness over time by providing a way to record and analyze results.

When to use it

  • After model updates: Verify that new versions of language models maintain existing capabilities and don’t introduce unexpected behavior.
  • During prompt engineering iterations: Track the impact of changes to prompts on output quality and consistency.
  • For automated testing pipelines: Integrate into CI/CD workflows to automatically assess prompt performance with each code deployment.
  • To establish a baseline: Create a benchmark for evaluating future prompt modifications against known good results.

Key capabilities

  • Prompt comparison
  • Regression detection
  • Result recording
  • Automated testing integration

Example prompts

  • "Compare the responses to 'Summarize this article:' with the original and revised prompts."
  • "Run a regression test on the prompt 'Write a poem about cats' after updating the model version."
  • "Record the results of running prompt 'Translate to French: Hello world' across different models."

Tips & gotchas

This skill requires an understanding of prompt engineering and basic testing principles. Ensure you have clear criteria for evaluating responses, as subjective assessments can impact regression detection accuracy.