ai-analyzer SKILL.md skillA

ai-analyzer from francostino/opencode-skills-collection is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add francostino/opencode-skills-collection/ai-analyzer@git:20260906.7d37dc9

Pins git:20260906.7d37dc9 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
francostino/opencode-skills-collection
Path
bundled-skills/ai-analyzer/SKILL.md
Versions recorded
3
Latest version
git:20260906.7d37dc9, committed Sep 6, 2026
First version recorded
Jul 7, 2026
Size
8,077 bytes
Repository stars
87
License
MIT

AI驱动的综合健康分析系统,整合多维度健康数据、识别异常模式、预测健康风险、提供个性化建议。支持智能问答和AI健康报告生成。.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# AI健康分析器

基于AI技术的综合健康分析系统,提供智能健康洞察、风险预测和个性化建议。

## When to Use
- The user wants AI-driven health analysis across multiple health datasets or lifestyle signals.
- You need anomaly detection, risk prediction, or personalized recommendations based on health inputs.
- You need generated health reports or question-answering over health metrics and trends.

## 核心功能

### 1. 智能健康分析
- **多维度数据整合**: 整合基础指标、生活方式、心理健康、医疗历史等4类数据源
- **异常模式识别**: 使用CUSUM、Z-score等算法检测异常值和变化点
- **相关性分析**: 计算不同健康指标之间的相关性(皮尔逊、斯皮尔曼)
- **趋势预测**: 基于历史数据进行趋势分析和预测

### 2. 健康风险预测
- **高血压风险**: 基于Framingham风险评分模型
- **糖尿病风险**: 基于ADA糖尿病风险评分标准
- **心血管疾病风险**: 基于ACC/AHA ASCVD指南
- **营养缺乏风险**: 基于RDA达成率和饮食模式分析
- **睡眠障碍风险**: 基于PSQI和睡眠模式分析

### 3. 个性化建议引擎
- **基础个性化**: 基于年龄、性别、BMI、活动水平等静态档案
- **建议分级**: Level 1(一般性)、Level 2(参考性)、Level 3(医疗建议)
- **循证依据**: 基于医学指南和循证医学证据
- **可操作性**: 提供具体、可行的改进建议

### 4. 自然语言交互
- **智能问答**: 支持健康数据查询、趋势分析、相关性查询等
- **上下文理解**: 维护对话历史,支持多轮对话
- **意图识别**: 识别用户查询意图,提供精准回复

### 5. AI健康报告生成
- **综合报告**: 包含所有维度健康数据、AI洞察、风险评估
- **快速摘要**: 关键指标概览、异常警示、主要建议
- **风险评估报告**: 各类疾病风险、风险因素分析、预防措施
- **趋势分析报告**: 多维度趋势、变化点识别、预测分析
- **HTML交互式报告**: ECharts图表、Tailwind CSS样式

## 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**:
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add francostino/opencode-skills-collection/ai-analyzer@sha256:abab5b9fc71a25d7

The line at the top of this page pins the label git:20260906.7d37dc9, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_di7pwykyvtedj5fy.svg)](https://markdownregistry.com/a/art_di7pwykyvtedj5fy)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Jul 7, 2026 and Sep 6, 2026, about one every 30 days.

versioncommittedcommitsizeaudit
git:20260906.7d37dc9 latest2026-09-06 7d37dc9 8,077 BA view · diff
git:20260730.90257ed2026-07-30 90257ed 8,052 BA view · diff
git:20260707.168343c2026-07-07 168343c 8,051 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8077 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

francostino/opencode-skills-collection · 87 stars · license MIT · pushed 2026-10-18 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_di7pwykyvtedj5fy
GET https://markdownregistry.com/api/v1/resolve?ref=francostino/opencode-skills-collection/ai-analyzer
GET https://markdownregistry.com/api/v1/blob/abab5b9fc71a25d75c7f4a38b0bc7f0d3a063d6c07bdf992fdc508ea650969d8

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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