xu-xiang

eval-harness

11
0
# Install this skill:
npx skills add xu-xiang/everything-claude-code-zh --skill "eval-harness"

Install specific skill from multi-skill repository

# Description

为 Claude Code 会话提供的正式评测框架,实现了评测驱动开发(Eval-Driven Development,EDD)原则

# SKILL.md


name: eval-harness
description: 为 Claude Code 会话提供的正式评测框架,实现了评测驱动开发(Eval-Driven Development,EDD)原则
tools: Read, Write, Edit, Bash, Grep, Glob


评测套件技能(Eval Harness Skill)

一个为 Claude Code 会话提供的正式评测框架,实现了评测驱动开发(Eval-Driven Development,EDD)原则。

核心理念(Philosophy)

评测驱动开发(EDD)将评测(Evals)视为“AI 开发的单元测试”:
- 在实现代码之“前”定义预期行为
- 在开发过程中持续运行评测
- 跟踪每次变更带来的回归(Regressions)
- 使用 pass@k 指标来衡量可靠性

评测类型

能力评测(Capability Evals)

测试 Claude 是否能够完成之前无法完成的任务:

[CAPABILITY EVAL: feature-name]
Task: Description of what Claude should accomplish
Success Criteria:
  - [ ] Criterion 1
  - [ ] Criterion 2
  - [ ] Criterion 3
Expected Output: Description of expected result

回归评测(Regression Evals)

确保变更不会破坏现有功能:

[REGRESSION EVAL: feature-name]
Baseline: SHA or checkpoint name
Tests:
  - existing-test-1: PASS/FAIL
  - existing-test-2: PASS/FAIL
  - existing-test-3: PASS/FAIL
Result: X/Y passed (previously Y/Y)

评分器(Grader)类型

1. 基于代码的评分器(Code-Based Grader)

使用代码进行确定性检查:

# Check if file contains expected pattern
grep -q "export function handleAuth" src/auth.ts && echo "PASS" || echo "FAIL"

# Check if tests pass
npm test -- --testPathPattern="auth" && echo "PASS" || echo "FAIL"

# Check if build succeeds
npm run build && echo "PASS" || echo "FAIL"

2. 基于模型的评分器(Model-Based Grader)

使用 Claude 评估开放式输出:

[MODEL GRADER PROMPT]
Evaluate the following code change:
1. Does it solve the stated problem?
2. Is it well-structured?
3. Are edge cases handled?
4. Is error handling appropriate?

Score: 1-5 (1=poor, 5=excellent)
Reasoning: [explanation]

3. 人工评分器(Human Grader)

标记以供人工审查:

[HUMAN REVIEW REQUIRED]
Change: Description of what changed
Reason: Why human review is needed
Risk Level: LOW/MEDIUM/HIGH

指标(Metrics)

pass@k

“k 次尝试中至少成功一次”
- pass@1:首次尝试成功率
- pass@3:3 次尝试内成功
- 典型目标:pass@3 > 90%

pass^k

“k 次试验全部成功”
- 更高的可靠性门槛
- pass^3:连续 3 次成功
- 用于关键路径(Critical Paths)

评测工作流

1. 定义(编码前)

## EVAL DEFINITION: feature-xyz

### Capability Evals
1. Can create new user account
2. Can validate email format
3. Can hash password securely

### Regression Evals
1. Existing login still works
2. Session management unchanged
3. Logout flow intact

### Success Metrics
- pass@3 > 90% for capability evals
- pass^3 = 100% for regression evals

2. 实现

编写代码以通过定义的评测。

3. 评估

# Run capability evals
[Run each capability eval, record PASS/FAIL]

# Run regression evals
npm test -- --testPathPattern="existing"

# Generate report

4. 报告

EVAL REPORT: feature-xyz
========================

Capability Evals:
  create-user:     PASS (pass@1)
  validate-email:  PASS (pass@2)
  hash-password:   PASS (pass@1)
  Overall:         3/3 passed

Regression Evals:
  login-flow:      PASS
  session-mgmt:    PASS
  logout-flow:     PASS
  Overall:         3/3 passed

Metrics:
  pass@1: 67% (2/3)
  pass@3: 100% (3/3)

Status: READY FOR REVIEW

集成模式

实现前(Pre-Implementation)

/eval define feature-name

.claude/evals/feature-name.md 创建评测定义文件。

实现中(During Implementation)

/eval check feature-name

运行当前评测并报告状态。

实现后(Post-Implementation)

/eval report feature-name

生成完整的评测报告。

评测存储

在项目中存储评测:

.claude/
  evals/
    feature-xyz.md      # 评测定义
    feature-xyz.log     # 评测运行历史
    baseline.json       # 回归基线

最佳实践

  1. 在编码之“前”定义评测 —— 强制对成功准则进行清晰思考。
  2. 频繁运行评测 —— 尽早发现回归。
  3. 随着时间推移跟踪 pass@k —— 监控可靠性趋势。
  4. 尽可能使用代码评分器 —— 确定性(Deterministic)优于概率性(Probabilistic)。
  5. 安全相关的由人工审查 —— 永远不要完全自动化安全检查。
  6. 保持评测快速 —— 缓慢的评测往往不会被运行。
  7. 将评测与代码一同进行版本控制 —— 评测是一等公民产物(First-class Artifacts)。

示例:添加身份验证

## EVAL: add-authentication

### Phase 1: Define (10 min)
Capability Evals:
- [ ] User can register with email/password
- [ ] User can login with valid credentials
- [ ] Invalid credentials rejected with proper error
- [ ] Sessions persist across page reloads
- [ ] Logout clears session

Regression Evals:
- [ ] Public routes still accessible
- [ ] API responses unchanged
- [ ] Database schema compatible

### Phase 2: Implement (varies)
[Write code]

### Phase 3: Evaluate
Run: /eval check add-authentication

### Phase 4: Report
EVAL REPORT: add-authentication
==============================
Capability: 5/5 passed (pass@3: 100%)
Regression: 3/3 passed (pass^3: 100%)
Status: SHIP IT

# Supported AI Coding Agents

This skill is compatible with the SKILL.md standard and works with all major AI coding agents:

Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.