agent_evaluation_benchmarking
CommunityElevate AI agent performance with robust benchmarking and evaluation
Software Engineering#benchmarking#AI quality#agent performance#evaluation framework#agent evaluation
AuthorRenzo-Tognella
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides tools and frameworks for accurately evaluating AI agents across various dimensions, ensuring they meet quality standards in real-world scenarios.
Core Features & Use Cases
- Multi-dimensional Evaluation: Assess agent performance in correctness, reliability, efficiency, and safety.
- Benchmark Integration: Utilize established benchmarks for software engineering, general capabilities, reasoning, and safety.
- Custom Evaluation Design: Customize evaluation tasks for your specific domain with support for golden datasets and evaluation pipelines.
- Regression Testing: Implement continuous evaluation and baseline comparison for monitoring agent quality over time.
- Human Evaluation: Incorporate rubric-based scoring and inter-rater agreement for qualitative assessment.
Quick Start
Run the agent_evaluation_benchmarking skill to evaluate the performance of an AI agent against the SWE-bench benchmark.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: agent_evaluation_benchmarking Download link: https://github.com/Renzo-Tognella/UniversalThingsForMyAgents/archive/main.zip#agent-evaluation-benchmarking Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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