evaluation

Evaluates agent outputs with weighted, multidimensional rubrics and automated pipelines.

Updated Jan 13, 2026

Search Tags:#tooling #agent #rubric #evaluate #production-monitoring #evaluation-framework

Ready to run

npx skills add https://github.com/hafiznaveedchuhan-ctrl/hackaton2pages --skill evaluation-hafiznaveedchuhan-ctrl

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: evaluation
Source: https://github.com/hafiznaveedchuhan-ctrl/hackaton2pages/tree/main/.claude/skills/evaluation
Command: npx skills add https://github.com/hafiznaveedchuhan-ctrl/hackaton2pages --skill evaluation-hafiznaveedchuhan-ctrl

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Agent systems require structured, repeatable evaluation to understand performance across non-deterministic paths and configurations. This skill provides a scalable framework to measure, compare, and improve agent behavior using multi-dimensional rubrics.

Core Features & Use Cases

Multi-dimensional rubrics (factual_accuracy, completeness, citation_accuracy, source_quality, tool_efficiency) with weighted scoring
Test-set management and automated evaluation pipelines for scalable validation
Production monitoring hooks to flag regressions and guide improvements

Quick Start

Run an evaluation cycle on a sample agent output against a ground-truth task to obtain rubric-based scores.

Frequently Asked Questions about evaluation

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

FAQPage Schema

How do I evaluate agent performance using rubrics for non-deterministic outputs?▼

To evaluate agent performance using rubrics, apply a multi-dimensional rubric engine to score non-deterministic outputs across factual accuracy, completeness, citation accuracy, source quality, and tool efficiency with weighted scoring.

What is rubric-driven evaluation for production monitoring?▼

Rubric-driven evaluation for production monitoring is the process of applying automated scoring pipelines and test-set management to agent deployments, which flags performance regressions and guides improvements during live operations.

How do I compare agent configurations to measure improvements?▼

Compare agent configurations by running automated evaluation cycles against a managed test-set, yielding weighted rubric-based scores that highlight behavioral differences across non-deterministic paths and context strategies.

Can I use this evaluation framework for both research and development contexts?▼

Yes, you can use this evaluation framework for research, development, and production monitoring contexts to measure, compare, and improve agent behavior using scalable, repeatable validation pipelines.

What dimensions should an agent evaluation rubric include?▼

An agent evaluation rubric should include factual accuracy, completeness, citation accuracy, source quality, and tool efficiency dimensions, applying weighted scoring to measure multi-dimensional agent behavior comprehensively.

Does this skill require external dependencies to run evaluation pipelines?▼

No external dependencies are required to run evaluation pipelines; the skill operates independently using its internal scripts and references to manage test-sets and generate rubric-based scores.