Resources
1Install
npx skillscat add maxoreric/sop-engine/health-analyze Install via the SkillsCat registry.
About this skill
We need to produce a plain-text summary 2-3 sentences, objective, factual, no marketing, no bullet points, no headings, no markdown. At most 60 words. Must be English. Summarize skill: analyzes health data, calculates health score, identifies abnormal metrics. Problem solved: provides quick health assessment based on temperature, heart rate, steps. When to use: when need to evaluate daily health metrics, flag issues, generate score. We must ensure less than or equal to 60 words. Let's craft ~30 words.
SKILL.md
health-analyze
分析健康指标数据,计算健康评分。
输入格式
输入 JSON 包含以下字段:
date: 日期字符串data.temperature: 体温 (°C)data.heart_rate: 心率 (bpm)data.steps: 步数
评分规则
总分 100 分,分为三个维度:
体温 (30 分)
- 36.0 - 37.5°C: +30 分
- 其他: 0 分,标记为异常
心率 (30 分)
- 60 - 100 bpm: +30 分
- 其他: 0 分,标记为异常
步数 (40 分)
- ≥ 10000: +40 分
- ≥ 5000: +30 分
- < 5000: 0 分,标记为运动不足
输出格式
必须返回以下 JSON 结构:
{
"status": "analyzed",
"date": "<输入的日期>",
"health_score": <0-100的数字>,
"analysis": {
"temperature_ok": <true/false>,
"heart_rate_ok": <true/false>,
"steps_ok": <true/false>,
"issues": ["<问题描述1>", "<问题描述2>"]
},
"timestamp": "<ISO 8601 时间戳>"
}示例
输入:
{"date": "2026-01-20", "data": {"temperature": 37.2, "heart_rate": 75, "steps": 8500}}输出:
{
"status": "analyzed",
"date": "2026-01-20",
"health_score": 90,
"analysis": {
"temperature_ok": true,
"heart_rate_ok": true,
"steps_ok": true,
"issues": []
},
"timestamp": "2026-01-20T10:30:00Z"
}