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evaluation-quality

Official

Measure and improve agent quality with metrics.

Data & Analytics#telemetry#quality-metrics#evaluate#ground-truth#human-feedback#agent-quality
Authornexus-labs-automation
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Teams using AI agents often lack standardized, measurable feedback on quality. This Skill provides a structured approach to quantify, track, and improve agent accuracy, reliability, and usefulness over time.

Core Features & Use Cases

  • Automated evaluation across dimensions such as correctness, helpfulness, and safety
  • Ground-truth comparison and easy integration of human feedback
  • Trend analysis and regression detection to monitor performance in production
  • Reporting hooks and metrics to drive continuous improvement and governance

Quick Start

Run an automated evaluation of the latest agent response and log the resulting score.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: evaluation-quality
Download link: https://github.com/nexus-labs-automation/agent-observability/archive/main.zip#evaluation-quality

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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