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Regression Gates Skill

Detect model metric regressions and block CI/CD deployments.

2|1|Updated Apr 19, 2026
Search Tags:#metrics#quality gates#regression#baseline#ci-cd
One-click install
npx skills add https://github.com/reaatech/agents-md-kit --skill regression-gates-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Regression Gates Skill
Source: https://github.com/reaatech/agents-md-kit/tree/main/examples/evaluator/skills/regression-gates
Command: npx skills add https://github.com/reaatech/agents-md-kit --skill regression-gates-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps DevOps and engineers prevent flawed deployments by detecting regressions in model metrics and halting release pipelines.

Core Features & Use Cases

  • Automated regression checks against baselines for model metrics (accuracy, F1, latency, cost).
  • CI/CD gate integration that blocks deployments when regressions are detected and provides detailed feedback.
  • Baseline management via MCP tools to set, get, and compare baselines for consistent quality gates.

Quick Start

Set up automated regression checks in your CI/CD to block deployments when current metrics regress relative to the baseline.

Frequently Asked Questions about Regression Gates Skill

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

FAQPage Schema
How do I block deployments when model metrics regress in a CI/CD pipeline?▼

You can block deployments from model metrics regressions by integrating automated quality gates into your CI/CD pipeline that compare current metrics against baselines and halt releases on failure.

What is a regression gate and how does it prevent degraded performance?▼

A regression gate is an automated quality check that detects degraded model performance by comparing current metrics like accuracy or latency against a baseline, returning a pass or fail result.

How do I set up baseline management for automated regression checks?▼

Automated regression checks require baseline management via MCP tools to set, get, and compare baseline metrics, ensuring consistent quality gate evaluations across versions.

Can I configure custom thresholds for model metric regressions?▼

Yes, configurable thresholds are supported for model metric regression checks, allowing you to define acceptable variance limits for metrics like accuracy, F1, latency, and cost before blocking a release.

What metrics can I monitor to detect regressions before a release?▼

You can monitor model metrics such as accuracy, F1, latency, and cost to detect regressions, utilizing real-time metric comparisons to prevent degraded performance from reaching production.

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