职业健康分析技能 workflow skill. Use this skill when the user needs 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。 and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
This public intake copy packages plugins/antigravity-awesome-skills-claude/skills/occupational-health-analyzer from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.
Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.
This intake keeps the copied upstream files intact and uses EXTERNAL_SOURCE.json plus ORIGIN.md as the provenance anchor for review.
Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: 核心功能, 触发条件, 医学安全边界, 执行步骤, 输出格式, 1. 职业健康状况摘要.
Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.
| Situation | Start here | Why it matters |
|---|---|---|
| First-time use | EXTERNAL_SOURCE.json | Confirms repository, branch, commit, and imported path before touching the copied workflow |
| Provenance review | ORIGIN.md | Gives reviewers a plain-language audit trail for the imported source |
| Workflow execution | SKILL.md | Starts with the smallest copied file that materially changes execution |
| Supporting context | SKILL.md | Adds the next most relevant copied source file without loading the entire package |
| Handoff decision | ## Related Skills | Helps the operator switch to a stronger native skill when the task drifts |
This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.
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：
Use @occupational-health-analyzer to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.
Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.
Review @occupational-health-analyzer against EXTERNAL_SOURCE.json and ORIGIN.md, then explain which copied upstream files you would load first and why.
Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.
Use @occupational-health-analyzer for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.
Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.
Review @occupational-health-analyzer using the copied upstream files plus provenance, then summarize any gaps before merge.
Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.
Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.
Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills-claude/skills/occupational-health-analyzer, fails to mention provenance, or does not use any copied source files at all.
Solution: Re-open EXTERNAL_SOURCE.json, ORIGIN.md, and the most relevant copied upstream files. Load only the files that materially change the answer, then restate the provenance before continuing.
Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task.
Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.
Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.
@00-andruia-consultant-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.@10-andruia-skill-smith-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.@20-andruia-niche-intelligence-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.@2d-games - Use when the work is better handled by that native specialization after this imported skill establishes context.Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.
| Resource family | What it gives the reviewer | Example path |
|---|---|---|
references | copied reference notes, guides, or background material from upstream | references/n/a |
examples | worked examples or reusable prompts copied from upstream | examples/n/a |
scripts | upstream helper scripts that change execution or validation | scripts/n/a |
agents | routing or delegation notes that are genuinely part of the imported package | agents/n/a |
assets | supporting assets or schemas copied from the source package | assets/n/a |
技能在以下情况下自动触发：
/work trend 查看职业健康趋势/work status 查看综合健康状态/work recommend 获取改进建议/work assess 进行综合评估/work issue 记录问题后的分析/work ergonomic 进行人机工程评估后的分析本技能不能做的事：
本技能能做的事：
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：
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
休息频率 (break_frequency)
每周运动时间 (weekly_exercise_minutes)
150分钟：1分
现有症状 (existing_symptoms_severity)
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：
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
20-20-20法则遵守 (rule_20_20_20_compliance)
照明条件 (lighting_quality)
眼部症状 (eye_symptoms_severity)
总分计算和风险等级判定同久坐风险
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
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
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）
输出包括：
# 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。
---
#### Imported: 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
#### Imported: 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]
#### Imported: 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 ⚠️
#### Imported: 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
#### Imported: 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
#### Imported: 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：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
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
🔴 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
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