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 | $0.00025 | $0.01452 |
| Sonnet 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 9d 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.
- 9d 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 (948 stars, last pushed 1mo ago), licensed MIT. It adds 50 tokens to every session and 2,905 once invoked, about $0.0003 per session on Opus 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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