Agent skill

Occupational Health Analyzer

by huifer in huifer/WellAlly-health

分析职业健康数据、识别工作相关健康风险、评估职业健康状况、提供个性化职业健康建议。支持与睡眠、运动、心理健康等其他健康数据的关联分析。

MITAuto-check passedProductivity & Automation

Install Occupational Health Analyzer

skills CLI
$ npx skills add huifer/WellAlly-health --skill occupational-health-analyzer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install huifer/WellAlly-health occupational-health-analyzer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/huifer/WellAlly-health.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/occupational-health-analyzer .claude/skills/occupational-health-analyzer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
occupational-health-analyzer
GitHub stars
960
Used in
5 other repos
Token cost
~1.2k tokens
SKILL.md length
216 words
Files
1
Skills in repo
15
Repo updated
First seen
Licence
MIT

At a glance

分析职业健康数据、识别工作相关健康风险、评估职业健康状况、提供个性化职业健康建议。支持与睡眠、运动、心理健康等其他健康数据的关联分析。

  • Works in 8 steps: 职业健康风险评估 - 久坐、视屏终端、倒班工作、重复性劳损、工作压力等多维度风险评估 → 工作相关问题追踪 - 颈肩腰腿痛、眼疲劳、腕管综合征等症状监测 → 人机工程评估 - 工作站、椅子、显示器、键盘、环境等全方位评估 → …
  • Tasks that involve Health and fitness tracking
  • SKILL.md covers 核心功能, 触发条件, 医学安全边界 and 执行步骤, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Occupational Health Analyzer is an agent skill from huifer/WellAlly-health. 分析职业健康数据、识别工作相关健康风险、评估职业健康状况、提供个性化职业健康建议。支持与睡眠、运动、心理健康等其他健康数据的关联分析。

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Productivity & Automation, covering Health and fitness tracking. The repository describes itself as: Ally-Health is an intelligent healthcare assistant that harnesses advanced AI technology and medical expertise to transform personal health management. Through natural language…. The licence is MIT.

When your agent uses it

  • Tasks that involve Health and fitness tracking

Example prompts

  • “/occupational-health-analyzer”

Requirements

  • Pre-approved tools (allowed-tools): Read, Grep, Glob, Write, Edit

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. 职业健康风险评估 - 久坐、视屏终端、倒班工作、重复性劳损、工作压力等多维度风险评估
  2. 工作相关问题追踪 - 颈肩腰腿痛、眼疲劳、腕管综合征等症状监测
  3. 人机工程评估 - 工作站、椅子、显示器、键盘、环境等全方位评估
  4. 职业病筛查 - 基于工作类型的职业病风险评估和筛查建议
  5. 趋势分析 - 症状发展、改善效果、风险变化趋势
  6. 关联分析 - 与睡眠、运动、心理健康、慢性病模块的关联分析
  7. 个性化建议 - 工作姿势、休息提醒、设备建议、环境优化
  8. 预警系统 - 高风险模式、症状恶化、职业病风险预警

What it can do on your machine

Read from SKILL.md and the folder at commit f604350. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Grep
    • Glob
    • Write
    • Edit

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Occupational Health Analyzer loads about 1.2k tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 216 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~24
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from huifer/WellAlly-health at commit f604350, republished under its MIT licence (© huifer). 216 words, ~1,180 tokens.

Download SKILL.mdSave it as .claude/skills/occupational-health-analyzer/SKILL.md (or your agent's skills folder).
name
occupational-health-analyzer
description
分析职业健康数据、识别工作相关健康风险、评估职业健康状况、提供个性化职业健康建议。支持与睡眠、运动、心理健康等其他健康数据的关联分析。
allowed-tools
Read, Grep, Glob, Write, Edit

职业健康分析技能

核心功能

职业健康分析技能提供全面的职业健康数据分析功能,帮助用户追踪工作相关健康问题、识别职业健康风险、评估工作环境人机工程水平和优化职业健康。

主要功能模块:

  1. 职业健康风险评估 - 久坐、视屏终端、倒班工作、重复性劳损、工作压力等多维度风险评估
  2. 工作相关问题追踪 - 颈肩腰腿痛、眼疲劳、腕管综合征等症状监测
  3. 人机工程评估 - 工作站、椅子、显示器、键盘、环境等全方位评估
  4. 职业病筛查 - 基于工作类型的职业病风险评估和筛查建议
  5. 趋势分析 - 症状发展、改善效果、风险变化趋势
  6. 关联分析 - 与睡眠、运动、心理健康、慢性病模块的关联分析
  7. 个性化建议 - 工作姿势、休息提醒、设备建议、环境优化
  8. 预警系统 - 高风险模式、症状恶化、职业病风险预警

触发条件

技能在以下情况下自动触发:

  1. 用户使用 /work trend 查看职业健康趋势
  2. 用户使用 /work status 查看综合健康状态
  3. 用户使用 /work recommend 获取改进建议
  4. 用户使用 /work assess 进行综合评估
  5. 用户使用 /work issue 记录问题后的分析
  6. 用户使用 /work ergonomic 进行人机工程评估后的分析

医学安全边界

本技能不能做的事:

  • ❌ 不进行职业病诊断
  • ❌ 不出具职业病诊断证明
  • ❌ 不替代工作场所健康监护
  • ❌ 不预测疾病发展
  • ❌ 不处理急性健康危机

本技能能做的事:

  • ✅ 职业健康风险评估和筛查
  • ✅ 工作相关症状识别和追踪
  • ✅ 人机工程评估和改进建议
  • ✅ 职业病风险预警
  • ✅ 工作环境改善建议
  • ✅ 健康记录保存(就医时参考)
  • ✅ 与其他健康数据的关联分析

执行步骤

第1步:数据读取

读取职业健康数据文件:

  • data-example/occupational-health-tracker.json - 主职业健康档案

数据验证:

  • 检查文件是否存在
  • 验证数据结构完整性
  • 确认有足够的数据点进行分析
第2步:职业健康风险评估
久坐风险评估(Sedentary Risk Score)

评分维度(每个维度0-10分):

  1. 每天久坐时间 (sedentary_time_daily)

    • 8小时:10分

    • 6-8小时:7分
    • 4-6小时:4分
    • <4小时:1分
  2. 休息频率 (break_frequency)

    • 无休息:10分
    • 每3小时+:8分
    • 每2小时:5分
    • 每小时:2分
  3. 每周运动时间 (weekly_exercise_minutes)

    • 0分钟:10分
    • <60分钟:7分
    • 60-150分钟:4分
    • 150分钟:1分

  4. 现有症状 (existing_symptoms_severity)

    • 严重症状:10分
    • 中度症状:7分
    • 轻度症状:4分
    • 无症状:1分

总分计算:

总分 = 久坐时间 + 休息频率 + 运动时间 + 现有症状
范围:4-40分

风险等级判定:

  • 低风险:4-13分
  • 中风险:14-26分
  • 高风险:27-40分
视屏终端风险评估(VDT Risk Score)

评分维度(每个维度0-10分):

  1. 每天屏幕时间 (screen_time_daily)

    • 8小时:10分

    • 6-8小时:7分
    • 4-6小时:4分
    • <4小时:1分
  2. 20-20-20法则遵守 (rule_20_20_20_compliance)

    • 从不遵守:10分
    • 偶尔遵守:6分
    • 经常遵守:3分
    • 总是遵守:1分
  3. 照明条件 (lighting_quality)

    • 很差:10分
    • 较差:7分
    • 一般:4分
    • 良好:1分
  4. 眼部症状 (eye_symptoms_severity)

    • 严重症状:10分
    • 中度症状:7分
    • 轻度症状:4分
    • 无症状:1分

总分计算和风险等级判定同久坐风险

综合风险评估

综合风险等级计算:

综合风险分数 = max(久坐风险, 视屏风险, 倒班风险, 劳损风险, 压力风险)

如果有多个高风险因素(≥27分),综合风险等级上调一级
如果有3个及以上中风险因素(14-26分),综合风险等级上调一级
第3步:人机工程评估
评估维度和评分

椅子评估(0-20分):

- 可调节性(0-5分)
- 腰椎支撑(0-5分)
- 座椅深度(0-5分)
- 扶手(0-5分)

显示器评估(0-20分):

- 高度(0-7分)
- 距离(0-7分)
- 角度(0-6分)

键盘和鼠标评估(0-20分):

- 键盘位置(0-5分)
- 鼠标位置(0-5分)
- 手腕支撑(0-10分)

工作台评估(0-20分):

- 高度(0-10分)
- 空间(0-10分)

环境评估(0-20分):

- 照明(0-7分)
- 噪音(0-7分)
- 温度(0-6分)

总分计算:

总分 = 椅子 + 显示器 + 键盘鼠标 + 工作台 + 环境
范围:0-100分

评分等级:
- 优秀:0-20分
- 良好:21-40分
- 一般:41-60分
- 较差:61-80分
- 差:81-100分
第4步:职业病筛查
基于工作类型的筛查推荐

办公室工作:

必查项目:
- 视力测试(每年1次)
- 肌肉骨骼评估(每年1次)

体力劳动:

必查项目:
- 肌肉骨骼评估(每年1次)
- 肺功能检查(粉尘环境每年1次)

倒班工作:

必查项目:
- 睡眠质量评估(每6个月1次)
- 心理健康筛查(每年1次)

噪音环境工作:

必查项目:
- 听力测试(每年1次)

粉尘/化学环境工作:

必查项目:
- 肺功能检查(每年1次)
- 皮肤病筛查(每年1次)
第5步:关联分析
睡眠-职业健康关联
  • 倒班工作与睡眠质量的相关性
  • 睡眠不足与工作相关症状的关系
运动-职业健康关联
  • 久坐工作与运动量的关系
  • 运动与肌肉骨骼症状的关系
心理健康-职业健康关联
  • 工作压力与心理状态的关系
  • 职业健康问题与心理症状的关联
第6步:生成报告

输出包括:

  • 职业健康状况摘要
  • 风险评估结果和趋势
  • 工作相关问题分析
  • 人机工程评估结果
  • 职业病筛查建议
  • 与其他健康因素的关联分析
  • 预警信息(如适用)
  • 个性化建议和行动计划

输出格式

职业健康分析报告结构
markdown
# 职业健康分析报告

**报告日期**: YYYY-MM-DD
**分析周期**: YYYY-MM-DD 至 YYYY-MM-DD
**数据完整性**: 良好

⚠️ **重要提示**:本报告仅供参考,不构成职业病诊断。

---

## 1. 职业健康状况摘要

[整体评价:优秀/良好/一般/需改进/高风险]
- 综合风险等级:[低/中/高]
- 职业健康评分:X/100
- 人机工程评分:X/100
- 活跃问题数:X个
- 整体趋势:改善/稳定/恶化

## 2. 风险评估结果

### 久坐风险评估
**风险等级**: 🟢 低风险 | 🟡 中风险 | 🔴 高风险
**风险评分**: X/40

**建议**: [具体建议]

### 视屏终端风险评估
**风险等级**: 🟢 低风险 | 🟡 中风险 | 🔴 高风险
**风险评分**: X/40

**建议**: [具体建议]

## 3. 工作相关问题分析

### 当前活跃问题
- [问题1]: 严重程度、频率、持续时间
- [问题2]: 严重程度、频率、持续时间

### 症状趋势
- 改善的问题
- 稳定的问题
- 恶化的问题 ⚠️

## 4. 人机工程评估

**人机工程评分**: X/100
**评分等级**: 优秀/良好/一般/较差/差

### 改进建议
- 高优先级建议
- 中优先级建议
- 低优先级建议

## 5. 职业病筛查

### 推荐筛查
- [筛查项目1] - 建议时间
- [筛查项目2] - 建议时间

## 6. 综合建议

### 立即行动
- [行动项]

### 本周行动计划
- [行动项1]
- [行动项2]

### 预防措施
- [预防措施列表]

---

**报告生成时间**: YYYY-MM-DD HH:MM:SS
⚠️ **免责声明**:本报告仅供参考,不构成职业病诊断或治疗建议。

错误处理

数据文件不存在
错误:未找到职业健康数据文件
建议:请先使用 /work assess 命令创建数据
数据不足
警告:数据不足以进行趋势分析
建议:至少需要3次评估记录
高风险预警
🔴 职业病高风险警告

检测到以下高风险因素:
- [列出高风险因素]

建议行动:
1. 立即就医,进行职业病诊断
2. 咨询职业医学专科医生
3. 考虑工作调整

数据源说明

主要数据源:

  • data-example/occupational-health-tracker.json - 职业健康主数据

关联数据源:

  • data-example/sleep-tracker.json - 睡眠数据
  • data-example/fitness-tracker.json - 运动数据
  • data-example/mental-health-tracker.json - 心理健康数据

技能版本: v1.0.0 最后更新: 2025-01-08 维护者: WellAlly Tech

© huifer, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/occupational-health-analyzer of huifer/WellAlly-health.

Open the folder on GitHubat commit f604350

Used in 5 other repositories

We found 15 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 5 other GitHub owners. This page covers the copy in huifer/WellAlly-health, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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  • Health Trend Analyzer

    huifer/WellAlly-health

    分析一段时间内健康数据的趋势和模式。关联药物、症状、生命体征、化验结果和其他健康指标的变化。识别令人担忧的趋势、改善情况,并提供数据驱动的洞察。当用户询问健康趋势、模式、随时间的变化或"我的健康状况有什么变化?"时使用。支持多维度分析(体重/BMI、症状、药物依从性、化验结果、情绪睡眠),相关性分析,变化检测,以及交互式HTML可视化报告(ECharts图表)。

    960 GitHub starsUsed in 6 repos~1.8k tokens
    Auto-check passed
  • AI Analyzer

    huifer/WellAlly-health

    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。

    960 GitHub starsUsed in 5 repos~1k tokens
    Auto-check passed
  • Fitness Analyzer

    huifer/WellAlly-health

    分析运动数据、识别运动模式、评估健身进展,并提供个性化训练建议。支持与慢性病数据的关联分析. An agent skill from huifer/WellAlly-health.

    960 GitHub starsUsed in 5 repos~1.3k tokens
    Auto-check passed
  • Goal Analyzer

    huifer/WellAlly-health

    分析健康目标数据、识别目标模式、评估目标进度,并提供个性化目标管理建议。支持与营养、运动、睡眠等健康数据的关联分析. An agent skill from huifer/WellAlly-health.

    960 GitHub starsUsed in 5 repos~2k tokens
    Auto-check passed
  • Mental Health Analyzer

    huifer/WellAlly-health

    分析心理健康数据、识别心理模式、评估心理健康状况、提供个性化心理健康建议。支持与睡眠、运动、营养等其他健康数据的关联分析。

    960 GitHub starsUsed in 5 repos~3.2k tokens
    Auto-check passed

Questions about Occupational Health Analyzer

What does Occupational Health Analyzer do?

分析职业健康数据、识别工作相关健康风险、评估职业健康状况、提供个性化职业健康建议。支持与睡眠、运动、心理健康等其他健康数据的关联分析。. Occupational Health Analyzer is an agent skill from huifer/WellAlly-health.

When should I use Occupational Health Analyzer?

Occupational Health Analyzer fits situations like: tasks that involve Health and fitness tracking.

How do I install Occupational Health Analyzer in Claude Code?

Run `npx skills add huifer/WellAlly-health --skill occupational-health-analyzer -a claude-code`. Or copy the skill folder (skills/occupational-health-analyzer in huifer/WellAlly-health) into .claude/skills/occupational-health-analyzer in your project. Claude Code loads it when a task matches its description.

How do I install Occupational Health Analyzer in Codex?

Run `npx skills add huifer/WellAlly-health --skill occupational-health-analyzer -a codex`. Or copy the skill folder (skills/occupational-health-analyzer in huifer/WellAlly-health) into .agents/skills/occupational-health-analyzer in your project. Codex loads it when a task matches its description.

Can I use Occupational Health Analyzer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add huifer/WellAlly-health --skill occupational-health-analyzer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/occupational-health-analyzer, .gemini/skills/occupational-health-analyzer, .github/skills/occupational-health-analyzer and .opencode/skills/occupational-health-analyzer in your project.

What does Occupational Health Analyzer need to run?

SKILL.md names no scripts, command-line tools or credentials: Occupational Health Analyzer is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Glob, Write, Edit.

Does Occupational Health Analyzer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Occupational Health Analyzer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Occupational Health Analyzer use?

Occupational Health Analyzer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Occupational Health Analyzer use?

About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Occupational Health Analyzer?

Skills that share tags, products or a category with Occupational Health Analyzer: Coach (felixrieseberg/claude-coach, 199 stars), Master Ajahn Chah (xr843/Master-skill, 447 stars), Ghealth (Google-Health-API/google-health-cli, 266 stars) and Crisis Detection Intervention AI (curiositech/some_claude_skills, 244 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Occupational Health Analyzer?

huifer (a GitHub user) maintains it in huifer/WellAlly-health, which has 960 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on July 16, 2026.

Source: huifer/WellAlly-health on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.