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/commands/occupational-health.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/commands/huifer/wellally-health/occupational-health)<a href="https://agentmods.dev/commands/huifer/wellally-health/occupational-health"><img src="https://agentmods.dev/badge/commands/huifer/wellally-health/occupational-health/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/commands/huifer/wellally-health/occupational-health"><img src="https://agentmods.dev/badge/commands/huifer/wellally-health/occupational-health.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00027 | $0.04218 |
| Opus 5 | $0.00014 | $0.02109 |
| Sonnet 5 | $0.00005 | $0.00844 |
| Haiku 4.5 | $0.00003 | $0.00422 |
Grade A, and why
occupational-health 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 13d 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 — 473 lines — stays where its author put it; the contents beside it link to each section on GitHub.
职业健康命令
医学免责声明
⚠️ 重要提示：本系统仅用于职业健康记录和评估，不能替代职业医学诊断和治疗。
- 所有职业病应由职业医学专科医生诊断
- 工作相关健康问题应咨询专业医生
- 本系统不能替代工作场所健康监护
- 本系统不出具职业病诊断证明
- 紧急情况应立即就医
- 请遵循医生的专业建议
支持的操作类型
1. 职业健康评估 (assess)
进行全面的职业健康风险评估，包括工作模式分析、风险因素识别和综合风险等级评定。
示例：
/work assess 办公室工作，每天8小时，主要使用电脑/work assess 体力劳动，需要搬运重物，每天站立6小时/work assess 倒班工作，夜班每周3次
评估内容：
- 久坐风险评分
- 视屏终端风险评分
- 倒班工作风险评分
- 重复性劳损风险评分
- 工作压力风险评分
- 综合风险等级（低/中/高）
2. 工作相关问题记录 (issue)
记录和跟踪工作相关的健康问题，如颈肩腰腿痛、眼疲劳、腕管综合征等。
示例：
/work issue neck_pain moderate 颈痛，经常发作，与长时间使用电脑有关/work issue eye_strain mild 眼睛疲劳，下午明显/work issue wrist_pain severe 手腕疼痛，诊断为腕管综合征
问题类型：
neck_pain- 颈痛shoulder_pain- 肩痛back_pain- 背痛wrist_pain- 腕痛carpal_tunnel- 腕管综合征eye_strain- 眼疲劳headache- 紧张性头痛fatigue- 疲劳stress- 工作压力sleep_disturbance- 睡眠障碍
严重程度：
mild- 轻度moderate- 中度severe- 重度
频率：
rare- 罕见（每月<1次）occasional- 偶尔（每月1-4次）often- 经常（每周1-3次）daily- 每天constant- 持续
3. 人机工程学评估 (ergonomic)
评估工作环境的人机工程学设置，包括椅子、显示器、键盘、工作台等。
示例：
/work ergonomic chair 可调节，有腰椎支撑/work ergonomic monitor 眼水平，距离60cm/work ergonomic full 进行全面人机工程评估
评估项目：
- 椅子：可调节性、腰椎支撑、座椅深度、扶手
- 显示器：高度、距离、角度
- 键盘和鼠标：位置、手腕支撑
- 工作台：高度、空间
- 环境：照明、噪音、温度
评估结果：
- 人机工程评分（0-100分）
- 优秀（0-20分）、良好（21-40分）、一般（41-60分）、较差（61-80分）、差（81-100分）
- 改进建议
4. 职业病筛查 (screening)
根据工作类型进行职业病风险评估和筛查建议。
示例：
/work screening hearing 噪音环境工作，需要听力筛查/work screening lung 粉尘环境工作，需要肺功能检查/work screening comprehensive 全面的职业病筛查
筛查类型：
hearing- 听力测试vision- 视力测试lung_function- 肺功能检查msk_assessment- 肌肉骨骼评估comprehensive- 综合筛查
基于工作类型的筛查推荐：
- 办公室工作：视力测试、肌肉骨骼评估
- 体力劳动：肌肉骨骼评估、肺功能
- 倒班工作：睡眠质量评估、心理健康筛查
- 噪音环境：听力测试
- 粉尘/化学环境：肺功能、皮肤病筛查
5. 工作环境评估 (environment)
记录和评估工作环境的各种因素。
示例：
/work environment lighting 照明充足，但有些反光/work environment noise 噪音较大，影响集中/work environment full 全面评估工作环境
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.
- 13d ago First seen · 473 lines · 27 tokens per session scan A 88f83ab89a91
occupational-health is a command published in the GitHub repository huifer/WellAlly-health (948 stars, last pushed 1mo ago), licensed MIT. It adds 27 tokens to every session and 4,218 once invoked, about $0.0001 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 2026-08-30.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.