agentic-eval

提供评估与自我改进的模式与范式，提升 agent 输出质量。

把“生成→评估→批判→重写”变成可执行的工作流，用来让 AI agent 自我检视并迭代改进输出质量。常用在需要 self-critique、用 LLM 当评判器或搭 evaluator→optimizer 流水线来保证结果稳定可靠时。它提供具体的评估范式和量化指标，方便把人工评审流程自动化、持续提升生成质量。

# Agentic Evaluation Patterns

Patterns for self-improvement through iterative evaluation and refinement.

## Overview

Evaluation patterns enable agents to assess and improve their own outputs, moving beyond single-shot generation to iterative refinement loops.

```
Generate → Evaluate → Critique → Refine → Output
    ↑                              │
    └──────────────────────────────┘
```

## When to Use

- **Quality-critical generation**: Code, reports, analysis requiring high accuracy
- **Tasks with clear evaluation criteria**: Defined success metrics exist
- **Content requiring specific standards**: Style guides, compliance, formatting

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## Pattern 1: Basic Reflection

Agent evalua