Agent Evaluation
davila7/claude-code-templatesEvaluating AI agents is a new kind of challenge. Unlike regular software, agents can give different answers each time. A perfect score on a benchmark does not mean the agent will work in the real world.
You need special tests like behavioral regression, capability checks, and reliability metrics. The goal is not to pass every test but to find weaknesses before launch.
This kind of testing helps catch flaky behavior, gaming of metrics, and data leaks. It makes agents more trustworthy.
Add Agent Evaluation skill to your workflow
Global
mkdir -p ~/.claude/skills/agent-evaluationProject
mkdir -p .claude/skills/agent-evaluationSource Repository
More AI & Agent Building Claude Code Skills
Find Skillsvercel-labs/skills
Find and install the perfect skill to extend your AI agent
Microsoft Foundrymicrosoft/azure-skills
Build, deploy, and improve AI agents on Microsoft Foundry from start to finish
Azure Aimicrosoft/azure-skills
Search, transcribe, and analyze with Azure AI tools for smarter apps
Azure Hosted Copilot Sdkmicrosoft/azure-skills
Build, deploy, and manage your Copilot SDK apps on Azure with ease
Triagemattpocock/skills
Triage issues with a state machine driven by clear roles and agent briefs
Handoffmattpocock/skills
Hand off your work to another AI agent with a clear summary
Image Editagentspace-so/runcomfy-agent-skills
Smart router picks the best AI model for your image editing needs
Agentspaceagentspace-so/skills
See your AI agent's live folder from any browser instantly