Skip to content
Back to skills

Regression Test Llm Apps And Agents With Metrics Traces And Eval Suites Using Deepeval

ASecurity

Run repeatable eval suites against prompts, RAG pipelines, and agents so regressions surface before release.

  • 36 stars
  • 0 votes
  • 0 copies
  • 0 views
  • Added June 2, 2026
ai-agentspythongonodetestinggitapisecuritydocumentation

Works with

  • api

Security analysis

A92/100
  • mediumInstalls packages at runtime which could introduce malicious dependencies

Pro shows the line behind each finding and how to fix it

Scanned June 2, 2026

npx -y skills add agentskillexchange/skills --skill regression-test-llm-apps-and-agents-with-metrics-traces-and-eval-suites-using-deepeval --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Regression Test Llm Apps And Agents With Metrics Traces And Eval Suites Using Deepeval?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Regression Test Llm Apps And Agents With Metrics Traces And Eval Suites Using Deepeval
[![Security: A β€” Skills Directory](https://www.skillsdirectory.com/api/skills/agentskillexchange-regression-test-llm-apps-and-agents-with-metrics-t/badge)](https://www.skillsdirectory.com/skills/agentskillexchange-regression-test-llm-apps-and-agents-with-metrics-t)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: "Regression test LLM apps and agents with metrics, traces, and eval suites using DeepEval"
slug: "regression-test-llm-apps-and-agents-with-metrics-traces-and-eval-suites-using-deepeval"
description: "Run repeatable eval suites against prompts, RAG pipelines, and agents so regressions surface before release."
github_stars: 14815
verification: "security_reviewed"
source: "https://github.com/confident-ai/deepeval"
author: "Confident AI"
publisher_type: "organization"
category: "Code Quality & Review"
framework: "Multi-Framework"
tool_ecosystem:
  github_repo: "confident-ai/deepeval"
  github_stars: 14815
  npm_package: "deepeval"
  npm_weekly_downloads: 1263
---

# Regression test LLM apps and agents with metrics, traces, and eval suites using DeepEval

Run repeatable eval suites against prompts, RAG pipelines, and agents so regressions surface before release.

## Prerequisites

Python or Node.js, API access to an LLM judge or compatible local models, CI optional

## Installation

Use the upstream install or setup path that matches your environment:
- pip install -U deepeval

Requirements and caveats from upstream:
- Deepeval works with **Python>=3.9+**.
- python

Basic usage or getting-started notes:
- <a href="#-quickstart">Getting Started</a> |
- **DeepEval** is a simple-to-use, open-source LLM evaluation framework, for evaluating large-language model systems. It is similar to Pytest but specialized for unit testing LLM apps. DeepEval incorporates the latest r...
- πŸ“ Large variety of ready-to-use LLM eval metrics (all with explanations) powered by **ANY** LLM of your choice, statistical methods, or NLP models that run **locally on your machine** covering all use cases:

- Source: https://github.com/confident-ai/deepeval
- Extracted from upstream docs: https://raw.githubusercontent.com/confident-ai/deepeval/HEAD/README.md

## Documentation

- https://docs.confident-ai.com/docs/getting-started

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/regression-test-llm-apps-and-agents-with-metrics-traces-and-eval-suites-using-deepeval/)

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…