regression-testing

Detect AI output regressions from model, prompt, or context changes.

70|34|Updated Apr 7, 2026

Search Tags:#ci-cd #quality-assurance #triage #prompt-testing #regression-testing #ai-eval #model-updates

Ready to run

npx skills add https://github.com/Productfculty-aipm/PM-Copilot-by-Product-Faculty --skill regression-testing-productfculty-aipm

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: regression-testing
Source: https://github.com/Productfculty-aipm/PM-Copilot-by-Product-Faculty/tree/main/skills/regression-testing
Command: npx skills add https://github.com/Productfculty-aipm/PM-Copilot-by-Product-Faculty --skill regression-testing-productfculty-aipm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps product and engineering teams detect and prevent degradations in AI output quality caused by model updates, prompt changes, retrieval/context shifts, or toolchain modifications so users do not experience broken behavior.

Core Features & Use Cases

Curated regression test sets: Build and maintain (input, expected behavior) pairs drawn from past failures, edge cases, and representative happy paths.
Automated gating & CI integration: Run regression suites on PRs, scheduled model upgrades, and periodic checks with pass/fail thresholds and baseline comparisons.
Triage-ready reports: Produce failure summaries, affected input types, severity metrics, root-cause hypotheses, and rollback or fix-forward recommendations.
Use case: Before upgrading the underlying LLM, run the regression suite to verify core conversational flows and prevent reintroducing previously fixed bugs.

Quick Start

Run the regression test suite against the new model version and generate a regression report listing failed cases and recommended actions.

Frequently Asked Questions about regression-testing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I detect AI output regressions caused by LLM model updates?▼

You can detect AI regressions by running curated input and expected behavior test suites against new model versions, comparing pass rates to baselines with configurable thresholds, and generating structured triage reports to identify failures.

How do I integrate regression testing for prompts into CI/CD pipelines?▼

You can integrate regression testing into CI/CD by configuring gating hooks that automatically run eval suites on pull requests, scheduled model upgrades, and periodic checks to block merges when pass rates fall below established thresholds.

Can I use automated AI eval suites to prevent broken user-facing behavior?▼

Automated AI eval suites prevent broken user-facing behavior by validating prompt modifications, context shifts, and toolchain changes against baseline pass rates before deployment, producing triage reports with rollback recommendations for detected failures.

What is the best way to build a regression test set for AI features?▼

The best way to build a regression test set for AI features is to curate input and expected behavior pairs drawn from past failures, edge cases, and representative happy paths, enabling baseline pass-rate comparisons during model updates.

Do I need existing AI eval suites to set up automated regression testing?▼

You need existing AI eval suites or the ability to create curated input and expected behavior test sets to establish baseline pass rates, enabling meaningful regression detection when running checks on pull requests or scheduled model upgrades.

Why does my AI feature break after prompt modifications or context changes?▼

AI features break after prompt modifications or context changes because altered inputs shift model behavior, which regression testing catches by running eval suites against baselines and producing triage reports with root-cause hypotheses and fix recommendations.