bianhaifeng789-hue/harness-score-analyzer
skills-experimental/harness-score-analyzer/SKILL.md
Score Analyzer - 分数趋势分析，判断 IMPROVING/STAGNANT/DECLINING，推荐 REFINE/PIVOT 策略。适用多轮迭代场景，指导下一步行动。
tools
Updated Apr 21, 2026
$ install --global
skillsauthnpx skillsauth add bianhaifeng789-hue/openclaw-config harness-score-analyzerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- harness-score-analyzer
- description:
- Score Analyzer - 分数趋势分析，判断 IMPROVING/STAGNANT/DECLINING，推荐 REFINE/PIVOT 策略。适用多轮迭代场景，指导下一步行动。
Harness Score Analyzer
概述
分析 QA 分数趋势，推荐迭代策略。
来源：Harness Engineering - harness.py score_history 分析
核心功能
- 趋势判断：IMPROVING/STAGNANT/DECLINING
- 策略推荐：REFINE/PIVOT
- 统计计算：平均值、最高分、最低分
- 分数预测：简单线性回归
趋势类型
IMPROVING
- delta > 0.5
- 策略：REFINE（继续改进）
DECLINING
- delta < -0.5
- 策略：PIVOT（推翻重来）
STAGNANT
- delta ≈ 0
- 策略：REFINE 或 MONITOR
策略建议
REFINE
继续改进当前实现：
- 分数上升
- 修复 QA 问题
- 添加细节
PIVOT
尝试不同方式：
- 分数下降
- 考虑重写
- 改变架构
用法
分析分数
node ~/.openclaw/workspace/impl/bin/score-analyzer.js analyze 7.5 8.0 7.8
推荐策略
node score-analyzer.js recommend 7.5 8.0 7.8
查看历史
node score-analyzer.js status
保存分数
node score-analyzer.js save 8.0 3
输出示例
analyze
{
"trend": "IMPROVING",
"recommendation": "REFINE",
"delta": 0.5,
"stats": {
"count": 3,
"average": 7.77,
"max": 8.0,
"min": 7.5,
"latest": 7.8
},
"prediction": 8.2,
"confidence": "HIGH"
}
recommend
{
"strategy": "REFINE",
"reason": "Scores are improving\nDelta: +0.50",
"nextAction": "Continue refining current approach"
}
状态文件
位置：state/score-history.json
{
"scores": [7.5, 8.0, 7.8],
"rounds": [1, 2, 3],
"timestamps": [1234567890, 1234567891, 1234567892]
}
创建时间：2026-04-17 来源：Harness Engineering 状态：已实现
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