eval
Evaluate and rank agent results by metric or LLM judge for an AgentHub session. Use when the user runs /hub:eval or asks to score, compare, or pick a winner among completed AgentHub agents.
- Skills
- General
- 4
What it does and how to use it
A skill that teaches Claude Code to do general tasks well. It is packaged knowledge the model uses whenever it is relevant.
- Install the skill (command above).
- In Claude Code, describe what you need - the skill turns on by itself when the context fits.
- No commands to memorize: you talk in plain language and the skill does the rest.
Install (Claude Code)
mkdir -p .claude/skills/alirezarezvani-claude-skills__eval && curl -fsSL https://doutorai.pt/data/lib/skills__alirezarezvani-claude-skills__eval.md -o .claude/skills/alirezarezvani-claude-skills__eval/SKILL.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
---
name: "eval"
description: "Evaluate and rank agent results by metric or LLM judge for an AgentHub session. Use when the user runs /hub:eval or asks to score, compare, or pick a winner among completed AgentHub agents."
command: /hub:eval
---
# /hub:eval - Evaluate Agent Results
Rank all agent results for a session. Supports metric-based evaluation (run a command), LLM judge (compare diffs), or hybrid.
## Usage
```
/hub:eval # Eval latest session using configured criteria
/hub:eval 20260317-143022 # Eval specific session
/hub:eval --judge
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