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prompt-regression-tester

Document regression tests for prompt, model, or workflow changes.

22|2|Updated Mar 24, 2026
Search Tags:#regression#risk-assessment#quality-assurance#test-suites#change-management#prompt-testing#ai-systems
One-click install
npx skills add https://github.com/jshsakura/awesome-opencode-skills --skill prompt-regression-tester-jshsakura
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prompt-regression-tester
Source: https://github.com/jshsakura/awesome-opencode-skills/tree/main/skills/prompt-regression-tester
Command: npx skills add https://github.com/jshsakura/awesome-opencode-skills --skill prompt-regression-tester-jshsakura

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Identify and manage regression risks when prompts, models, or tooling change, ensuring stable AI behavior over time.

Core Features & Use Cases

  • Define regression scope for a given change and pinpoint behaviors likely to drift.
  • Select a compact but representative regression suite and establish deterministic pass/fail criteria.
  • Document recommended test cases, rationale, and how results inform release decisions.
  • Capture known blind spots and enable reuse of tests across iterations.

Quick Start

Identify the change to test, select a concise regression suite, and define clear pass/fail criteria for automated execution.

Frequently Asked Questions about prompt-regression-tester

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

FAQPage Schema
How do I identify regression risks when changing AI prompts?▼

Identify regression risks by defining the regression scope for a given change and pinpointing AI behaviors likely to drift. This ensures stable AI behavior over time by documenting recommended test cases and rationale.

What's the best way to create a regression test suite for prompt engineering?▼

Select a compact but representative regression suite and establish deterministic pass/fail criteria. This approach to prompt regression testing captures known blind spots and enables reuse of tests across iterations.

Why do I need explicit pass/fail metrics for AI system testing?▼

Explicit pass/fail metrics are required for automating regression tests for AI systems. They document how test results inform release decisions and ensure deterministic execution when prompts, models, or tooling change.

Can I use regression testing for AI workflow change management at scale?▼

Regression testing applies directly to AI development teams conducting change risk management. It requires defining a regression scope, selecting representative test cases, and establishing explicit pass/fail metrics for automation.

How to document recommended test cases for prompt and model changes?▼

Document recommended test cases by capturing their rationale, selection criteria, and how results inform release decisions. This process guards AI behavior over time and enables test reuse across iterations while capturing known blind spots.

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