Borrowing it
Nothing to install: this file belongs to huifer/WellAlly-health. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/huifer/WellAlly-health/main/.claude/skills/health-trend-analyzer/SKILL.mdgit clone --depth 1 https://github.com/huifer/WellAlly-healthWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/huifer/wellally-health/health-trend-analyzer)<a href="https://agentmods.dev/skills/huifer/wellally-health/health-trend-analyzer"><img src="https://agentmods.dev/badge/skills/huifer/wellally-health/health-trend-analyzer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/huifer/wellally-health/health-trend-analyzer"><img src="https://agentmods.dev/badge/skills/huifer/wellally-health/health-trend-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00133 | $0.04006 |
| Opus 5.5 | $0.00053 | $0.01602 |
| Sonnet 5.5 | $0.00027 | $0.00801 |
| Haiku 4.5 | $0.00013 | $0.00401 |
Grade A, and why
health-trend-analyzer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 452 lines — stays where its author put it; the contents beside it link to each section on GitHub.
健康趋势分析器
分析一段时间内健康数据的趋势和模式,识别变化、相关性,并提供数据驱动的健康洞察。
核心功能
1. 多维度趋势分析
- 体重/BMI 趋势:追踪体重和BMI随时间的变化,评估健康趋势
- 症状模式:识别反复出现的症状、频率变化、潜在诱因
- 药物依从性:分析用药规律,识别漏服模式和改善空间
- 化验结果趋势:追踪生化指标变化(胆固醇、血糖、血压等)
- 情绪与睡眠:关联情绪状态与睡眠质量,识别心理健康趋势
2. 相关性分析引擎
- 药物-症状相关性:识别新药物是否与症状变化相关
- 生活方式影响:关联饮食/睡眠与症状和情绪
- 治疗效果评估:衡量治疗是否导致改善
- 周期-症状相关性:女性健康追踪中的周期相关性
3. 变化检测
- 显著变化:警告快速体重变化、新症状、药物变化
- 恶化模式:早期识别健康状况下降
- 改善识别:强调积极的健康变化
- 阈值警报:接近危险水平时警告(辐射、BMI极值)
4. 预测性洞察
- 风险评估:基于趋势识别风险因素
- 预防建议:基于模式建议预防措施
- 早期预警:在问题变得严重之前预测
使用说明
触发条件
当用户提到以下场景时,使用此技能:
通用询问:
- ✅ "过去一段时间我的健康有什么变化?"
- ✅ "分析我的健康趋势"
- ✅ "我的身体状况有什么变化?"
- ✅ "健康状况总结"
具体维度:
- ✅ "我的体重/BMI有什么趋势?"
- ✅ "分析我的症状模式"
- ✅ "我的用药依从性怎么样?"
- ✅ "我的化验指标有什么变化?"
- ✅ "我的情绪和睡眠趋势"
相关性分析:
- ✅ "我的症状和什么相关?"
- ✅ "我的药物有效吗?"
- ✅ "睡眠和我的情绪有什么关系?"
时间范围:
- 默认分析过去3个月的数据
- 支持:"过去1个月"、"过去6个月"、"过去1年"
- 支持:"2025年1月至今"、"最近90天"
执行步骤
步骤 1:确定分析时间范围
从用户输入中提取时间范围,或使用默认值(3个月)。
步骤 2:读取健康数据
读取以下数据源:
// 1. 个人档案(BMI、体重)
const profile = readFile('data/profile.json');
// 2. 症状记录
const symptomFiles = glob('data/symptoms/**/*.json');
const symptoms = readAllJson(symptomFiles);
// 3. 情绪记录
const moodFiles = glob('data/mood/**/*.json');
const moods = readAllJson(moodFiles);
// 4. 饮食记录
const dietFiles = glob('data/diet/**/*.json');
const diets = readAllJson(dietFiles);
// 5. 用药日志
const medicationLogs = glob('data/medication-logs/**/*.json');
// 6. 女性健康数据(如适用)
const cycleData = readFile('data/cycle-tracker.json');
const pregnancyData = readFile('data/pregnancy-tracker.json');
const menopauseData = readFile('data/menopause-tracker.json');
// 7. 过敏史
const allergies = readFile('data/allergies.json');
// 8. 辐射记录
const radiation = readFile('data/radiation-records.json');
步骤 3:数据过滤
根据时间范围过滤数据:
function filterByDate(data, startDate, endDate) {
return data.filter(item => {
const itemDate = new Date(item.date || item.created_at);
return itemDate >= startDate && itemDate <= endDate;
});
}
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 452 lines · 133 tokens per session scan A cb354b50f7fa
health-trend-analyzer is a skill published in the GitHub repository huifer/WellAlly-health (963 stars, last pushed 3mo ago), licensed MIT. It adds 133 tokens to every session and 4,006 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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