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/occupational-health-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/occupational-health-analyzer)<a href="https://agentmods.dev/skills/huifer/wellally-health/occupational-health-analyzer"><img src="https://agentmods.dev/badge/skills/huifer/wellally-health/occupational-health-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/occupational-health-analyzer"><img src="https://agentmods.dev/badge/skills/huifer/wellally-health/occupational-health-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 | $0.00050 | $0.02905 |
| Opus 5.5 | $0.00020 | $0.01162 |
| Sonnet 5.5 | $0.00010 | $0.00581 |
| Haiku 4.5 | $0.00005 | $0.00291 |
Grade A, and why
occupational-health-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 — 387 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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：
- 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
- 职业病筛查 - 基于工作类型的职业病风险评估和筛查建议
- 趋势分析 - 症状发展、改善效果、风险变化趋势
- 关联分析 - 与睡眠、运动、心理健康、慢性病模块的关联分析
- 个性化建议 - 工作姿势、休息提醒、设备建议、环境优化
- 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：
- 用户使用
/work trend查看职业健康趋势 - 用户使用
/work status查看综合健康状态 - 用户使用
/work recommend获取改进建议 - 用户使用
/work assess进行综合评估 - 用户使用
/work issue记录问题后的分析 - 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）：
-
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
-
-
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
-
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
-
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）：
-
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
-
-
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
-
照明条件 (lighting_quality)
- 很差：10分
- 较差：7分
- 一般：4分
- 良好：1分
-
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
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 · 387 lines · 50 tokens per session scan A 20ce7f0d3589
occupational-health-analyzer is a skill published in the GitHub repository huifer/WellAlly-health (963 stars, last pushed 3mo ago), licensed MIT. It adds 50 tokens to every session and 2,905 once invoked, about $0.0002 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.
Other skills, from other repositories
standardize-health-data
Turn raw health data into standardized data, and read a lab report without guessing. A lab report PDF, photo, spreadsheet or CSV becomes readings with LOINC codes and UCUM units; an Apple Health export becomes JSON lines; a symptom or diagnosis in any language becomes an ICPC-3 code; any reading becomes a FHIR…
mirobody
Self-host Mirobody, the open-source health data engine, and use it from an agent. Use when the user wants to run a personal or family health record on their own machine, bring lab reports and wearables (Apple Health, Garmin, Oura, WHOOP) into one place an AI can read, expose their health data to Claude Code, Codex…
who-gho-guide
Use with who tools to compare WHO GHO health indicators across countries or aggregates, discover age/sex/cause dimension positions, and distinguish missing metadata or incomplete pages from missing data.
longevity-protocol
Assembles an evidence-tiered weekly longevity routine across the four pillars with the strongest healthspan data - sleep, zone 2 aerobic work, strength training, and dietary pattern - plus stress and connection, delivered as a filled weekly template with honest evidence labels. Use when someone asks "build me a…
mobility-routine
Builds a 10-15 minute daily floor-based mobility routine for desk workers, targeting the four zones sitting predictably stiffens - hips, thoracic spine, shoulders/neck, and ankles - with exact holds, reps, and a sequenced routine card. Use when someone says "I'm stiff from sitting all day", "my hips are tight", "fix…
nutrition-planner
Sets personal nutrition targets - protein at 1.6-2.2 g/kg, a calorie budget from goal and activity, fiber and hydration floors - and a repeatable meal structure with a review-and-adjust protocol for fat loss, muscle gain, or maintenance. Use when someone asks "how much protein should I eat", "set my macros for a cut"…