WellAlly-health: Command for Claude Code

.claude/commands/radiation-data.md

radiation-data is a command for Claude Code from huifer/WellAlly-health. It costs 0 tokens per session (752 once invoked), scanned A, original, MIT.

A reference command for radiation-dose estimates from medical imaging, with example doses for CT scans, X-rays, PET-CT, bone scans, angiography, and mammograms. It also includes a simplified yearly decay model and body-surface-area adjustment formula.

In plain words
What is it for?
Use it to look up example doses, estimate adjusted doses from height and weight, model the simplified decrease over time, and classify recorded exposure by the included ranges.
Why use it?
It gives a single place to compare common examination doses and record cumulative exposure. The figures are reference values and do not replace a clinician’s assessment.

Command for Claude Code

Written for Claude Code: installed under .claude/.

This is huifer/WellAlly-health's own configuration. It tells Claude Code how to work on WellAlly-health itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything WellAlly-health configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/huifer/WellAlly-health/main/.claude/commands/radiation-data.md
Clone the repo
git clone --depth 1 https://github.com/huifer/WellAlly-health

Made for: Claude Code.

Wrote 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.

agentmods badge for radiation-data

README.md
[![agentmods](https://agentmods.dev/badge/commands/huifer/wellally-health/radiation-data/github.svg)](https://agentmods.dev/commands/huifer/wellally-health/radiation-data)
Your own site
<a href="https://agentmods.dev/commands/huifer/wellally-health/radiation-data"><img src="https://agentmods.dev/badge/commands/huifer/wellally-health/radiation-data/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.

agentmods 80×15 button for radiation-data

Your own site · 80×15
<a href="https://agentmods.dev/commands/huifer/wellally-health/radiation-data"><img src="https://agentmods.dev/badge/commands/huifer/wellally-health/radiation-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 752 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.00752
Opus 5 $0.00000 $0.00376
Sonnet 5 $0.00000 $0.00150
Haiku 4.5 $0.00000 $0.00075

Measured 10d ago against content hash 4eb7746ca485, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

radiation-data 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 10d 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.

.claude/commands/radiation-data.md · 79 lines

What it actually says

辐射剂量计算参考数据

常见医学检查的辐射剂量参考值

CT检查 (单位: mSv)

  • 头部CT: 2 mSv
  • 胸部CT: 7 mSv
  • 腹部CT: 8 mSv
  • 盆腔CT: 6 mSv
  • 脊柱CT: 6 mSv
  • 四肢CT: 0.1 mSv

X光检查 (单位: mSv)

  • 胸部X光: 0.1 mSv
  • 腹部X光: 0.7 mSv
  • 四肢X光: 0.01 mSv
  • 牙齿X光: 0.005 mSv

其他检查

  • PET-CT: 14 mSv
  • 骨扫描: 6 mSv
  • 血管造影: 5-15 mSv
  • 乳腺钼靶: 0.4 mSv

辐射消散规律

医学影像检查产生的电离辐射主要通过以下方式代谢:

  1. 自然衰变: 碘、钡等造影剂通过自然衰变减少
  2. 人体代谢: 通过肾脏、肝脏等器官排出
  3. 物理半衰期: 不同放射性核素半衰期不同

简化计算模型(用于本系统)

半衰期模型:

  • 大多数医学检查的辐射影响在 1年内 基本消散
  • 采用 指数衰减模型: 当前剂量 = 初始剂量 × (0.5)^(天数/365)
  • 年消散率: 约 50% 每年

辐射安全阈值

  • 年平均自然本底辐射: 2.4 mSv/年
  • 公众年剂量限值: 1 mSv (除自然本底外)
  • 职业人员年剂量限值: 20 mSv/年
  • 医学检查建议: 年累积剂量 < 10 mSv 为安全范围

体表面积计算

使用 Mosteller 公式:

体表面积 (m²) = √(身高(cm) × 体重(kg) / 3600)

剂量调整系数

根据体表面积调整辐射剂量:

  • 标准体表面积: 1.73 m² (成年人)
  • 调整系数: 实际体表面积 / 1.73
  • 调整后剂量: 标准剂量 × 调整系数

辐射影响评估标准

低剂量 (< 1 mSv)

  • 风险极低,无需特殊处理

中等剂量 (1-10 mSv)

  • 需要记录
  • 建议年度总结

高剂量 (10-50 mSv)

  • 需要关注
  • 建议间隔检查
  • 记录累积剂量

极高剂量 (> 50 mSv)

  • 需要医生评估
  • 严格记录
  • 考虑替代检查方案
Changes

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.

  1. 10d ago First seen · 79 lines · 0 tokens per session scan A 4eb7746ca485

Subscribe to this mod's changes

radiation-data is a command published in the GitHub repository huifer/WellAlly-health (943 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 752 tokens. 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.